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Adrenaline 24 HIP 6.2.4 Zluda Comfy UI
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| sleepyrobo | |
| • | |
| 5d ago | |
| https://github.com/CS1o/Stable-Diffusion-Info/wiki/Webui-Installation-Guides#amd-comfyui-with-zluda | |
| Try this, its for windows using zluda | |
| _____________________________________________________________________________________________________________________________________________ | |
| https://github.com/CS1o/Stable-Diffusion-Info/wiki/Webui-Installation-Guides#amd-comfyui-with-zluda | |
| need to use hip 6.2 | |
| _____________________________________________________________________________________________________________________________________________ | |
| [AMD] Comfyui with ZLUDA | |
| Option 1: For an nearly full automated install follow the Guide of PatientX Comfyui AMD Fork: | |
| Its made for ROCm 5.7 but also supports 6.1 and 6.2 if you know how to manually switch. RX580 works with it. https://github.com/patientx/ComfyUI-Zluda | |
| Option 2: If you have a AMD RX 6000 or 7000 Series and want ROCm 6.2 or 6.1 support follow my manual Guide below: | |
| Install ComfyUI on AMD Windows with Zluda: | |
| For Advanced Users | |
| GPUs Supported | |
| Requires AMD Adrenalin 24.1.1 Driver or newer. | |
| Preparation: | |
| Make sure your Graphics Card Driver is updated. | |
| You need to download and install Git 64bit setup.exe from here: https://git-scm.com/download/win | |
| You need to download and install Python 3.10.11 64bit setup.exe from here: https://www.python.org/downloads/release/python-31011/ | |
| In the first screen check "Add Python to Path" | |
| Getting ComfyUI Zluda Fork: | |
| Make a new Folder on your Drive (not on Desktop, Downloads, Documents, Programms, Onedrive) and name it SD-Zluda. | |
| You go into the folder you created in this case SD-Zluda, then click in the File Explorer bar (not searchbar) and type cmd then press enter. | |
| Then you copy and paste this command: | |
| git clone https://github.com/LeagueRaINi/ComfyUI.git && cd ComfyUI && git checkout nodes-cudnn-patch | |
| Press enter and after its done you can close the cmd. You should now have a ComfyUI folder. Press F5 to reload if its not visible. | |
| Download any Model from Civitai.com like for example Dreamshaper v8 and move it into ComfyUI/models/checkpoints. | |
| You can also link your Existing models from other Webui's or Folders. For that checkout the Steps at the bottom. | |
| Launching ComfyUI | |
| Now we need to create a Launch File to easily install and start ComfyUI: | |
| To create the File first click the link below: | |
| https://raw.githubusercontent.com/CS1o/Stable-Diffusion-Info/main/Resources/Start-ComfyUI.bat | |
| Then on the Site make a right click and select "Save Site as/under" | |
| Before Saving make sure to set the Filetype to All Files (.) then press Save. | |
| If it's still a .txt file, then you need to Enable the File Extensions in the File Explorer by clicking: | |
| in Win10 View > File Name Extensions | |
| in Win11 View > Show > File Name Extensions | |
| Then rename the File and change the .txt to .bat | |
| Move the Start-ComfyUI.bat into the ComfyUI Folder. | |
| Launch the Start-Comfuyi.bat. It will now install everything needed and when it's done the Webui opens in your default Browser. | |
| Launching Comfyui wont work as Zluda is needed, so close everything and proceed with the next steps. | |
| Setting up Zluda: | |
| Important: If you already installed Automatic1111 or Forge Zluda Version with my Guide, you can jump directly to Step 5. of the Zluda setup. | |
| Important: If you want to use the latest ROCm HIP SDK 6.2.4 and your GPU is higher/newer than a RX6800, then: | |
| Download and install AMD HIP SDK 6.2.4 from here | |
| Download the latest Zluda files for ROCm 6 from here | |
| Unzip as Folder and move it onto the C: Drive and rename the Folder to ZLUDA | |
| Then restart your PC and skip to Step 4 below and proceed there with the Guide. | |
| If you want to use the latest ROCm HIP SDK 6.2.4 and your GPU is below/older than a RX 6800, you need to do the following steps: | |
| Check if your GPU is supported by comparing the GPU GFX List with the List of GFX Library Files for 6.2.4 | |
| If the files are available for your GPU then you need to download them from here: | |
| Download and install AMD HIP SDK 6.2.4 from here | |
| Download the latest Zluda files for ROCm 6 from here | |
| Unzip as Folder and move it onto the C: Drive and rename the Folder to ZLUDA | |
| Go into C:\Program Files\AMD\ROCm\6.2\bin\rocblas folder. | |
| There copy and rename the library folder to old_library | |
| Open the .zip file and drag and drop all files of the library folder into the library folder. Not into the old_library folder. | |
| If the zip contains a rocblas.dll, copy that into the C:\Program Files\AMD\ROCm\6.2\bin\rocblas folder. | |
| Important: Restart your PC after this Step before proceeding at Step 4 (skip 1-3) of the Guide below. | |
| If your GPU is not supported by ROCm 6.2.4 then proceed with the Guide at Step 1 below: | |
| IMPORTANT: If your GPU is higher/newer than a RX6800, then skip Step 3 | |
| Install AMD HIP SDK 6.1.2 from here: https://www.amd.com/en/developer/resources/rocm-hub/hip-sdk.html | |
| Dont check the Pro Driver. | |
| Download the latest ZLUDA build for ROCm 6.1.2 as zip file from here | |
| Unzip as Folder and move it onto the C: Drive and rename the Folder to ZLUDA | |
| If your GPU is below a RX 6800, you need to do the following steps: | |
| Check your GPUs GFX Version here: GPU GFX List | |
| 3.1 Download the corresponding .zip File for your GPUs GFX Version from here | |
| For gfx900/906 - VEGA 56, 64 and Vii its this | |
| 3.2 Go into C:\Program Files\AMD\ROCm\6.1\bin\rocblas folder. | |
| There copy and rename the library folder to old_library | |
| 3.3 Open the .zip file and drag and drop all files of the library folder into the library folder. Not into the old_library folder. | |
| If the zip contains a rocblas.dll, copy that into the C:\Program Files\AMD\ROCm\6.1\bin\rocblas folder. | |
| Important: Restart your PC after this Step before proceeding. | |
| Add the C:\ZLUDA folder and %HIP_PATH%bin to your PATH in the System Variables. Like shown here: | |
| https://www.wikihow.com/Change-the-PATH-Environment-Variable-on-Windows | |
| It should look like this here | |
| Go into the C:\ZLUDA\ Folder. | |
| There make copy of the cublas.dll and the cusparse.dll and nvrtc.dll repaste them inside the folder. | |
| Rename the copies to cublas64_11.dll and cusparse64_11.dll and nvrtc64_112_0.dll | |
| Copy these three files into ComfyUI\venv\Lib\site-packages\torch\lib and overwrite if asked. | |
| Launch the Start-Comfuyi.bat. The Webui opens in your default Browser and is ready to Generate! | |
| Noteworthy: The first image generation can take from 15 up to 40 minutes. First time only. | |
| If you get a NUMPY Error do the following: | |
| Install the Comfyui-Manager from below, then Click on Manager > Click on Install PIP Packages > type numpy==1.26.4 > Click OK and restart the server as prompted. | |
| If you get a security warning you have to go into ComfyUI\user\default\ComfyUI-Manager and there edit the config.ini. | |
| Change the Security Level to Weak, then save and try install numpy again. | |
| After that set the Security Level back to normal. | |
| Getting ComfyUI-Manager: | |
| After the installation is done go into ComfyUI/custom_nodes folder | |
| Click in the File Explorer bar (not searchbar) and type cmd then press enter. | |
| Then you copy and paste this command: | |
| git clone https://github.com/ltdrdata/ComfyUI-Manager.git | |
| Press enter and after its done you can close the cmd. | |
| Relaunch the Start-ComfyUI.bat | |
| Linking Models, Loras, etc. from other Webui's or Folders to ComfyUI: | |
| If you want to link all models from an other Webui you can do that by renaming the extra_model_paths.example.yaml to extra_model_paths.yaml | |
| Then right click the file and edit it with Notepad or Notepad++. | |
| If you have Automatic1111 installed you only need to change the base_path line like in my Example that links to the Zluda Auto1111 Webui: | |
| base_path: C:\SD-Zluda\stable-diffusion-webui-amdpgu | |
| Then save and relaunch the Start-Comfyui.bat | |
| _____________________________________________________________________________________________________________________________________________ | |
| C:\Users\FatherOfMachines>python --version | |
| Python 3.10.11 | |
| Microsoft Windows [Version 10.0.22631.4602] | |
| (c) Microsoft Corporation. All rights reserved. | |
| F:\SD-Zluda> | |
| F:\SD-Zluda>F:\SD-Zluda>git clone https://github.com/LeagueRaINi/ComfyUI.git && cd ComfyUI && git checkout nodes-cudnn-patch | |
| F:\SD-Zluda>git clone https://github.com/LeagueRaINi/ComfyUI.git && cd ComfyUI && git checkout nodes-cudnn-patch | |
| Cloning into 'ComfyUI'... | |
| remote: Enumerating objects: 17073, done. | |
| remote: Counting objects: 100% (2845/2845), done. | |
| remote: Compressing objects: 100% (243/243), done. | |
| remote: Total 17073 (delta 2702), reused 2602 (delta 2602), pack-reused 14228 (from 1) | |
| Receiving objects: 100% (17073/17073), 56.74 MiB | 7.97 MiB/s, done. | |
| Resolving deltas: 100% (11493/11493), done. | |
| Switched to a new branch 'nodes-cudnn-patch' | |
| branch 'nodes-cudnn-patch' set up to track 'origin/nodes-cudnn-patch'. | |
| _____________________________________________________________________________________________________________________________________________ | |
| https://github.com/lshqqytiger/ZLUDA/releases/ | |
| https://github.com/CS1o/Stable-Diffusion-Info/wiki/Webui-Installation-Guides#amd-comfyui-with-zluda | |
| restart | |
| _____________________________________________________________________________________________________________________________________________ | |
| ComfyUI Error Report | |
| ## Error Details | |
| - **Node ID:** 7 | |
| - **Node Type:** CLIPTextEncode | |
| - **Exception Type:** RuntimeError | |
| - **Exception Message:** CUDA error: CUBLAS_STATUS_NOT_SUPPORTED when calling `cublasSgemm( handle, opa, opb, m, n, k, &alpha, a, lda, b, ldb, &beta, c, ldc)` | |
| ## Stack Trace | |
| ``` | |
| File "F:\SD-Zluda\ComfyUI\execution.py", line 327, in execute | |
| output_data, output_ui, has_subgraph = get_output_data(obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb) | |
| File "F:\SD-Zluda\ComfyUI\execution.py", line 202, in get_output_data | |
| return_values = _map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb) | |
| File "F:\SD-Zluda\ComfyUI\execution.py", line 174, in _map_node_over_list | |
| process_inputs(input_dict, i) | |
| File "F:\SD-Zluda\ComfyUI\execution.py", line 163, in process_inputs | |
| results.append(getattr(obj, func)(**inputs)) | |
| File "F:\SD-Zluda\ComfyUI\nodes.py", line 69, in encode | |
| return (clip.encode_from_tokens_scheduled(tokens), ) | |
| File "F:\SD-Zluda\ComfyUI\comfy\sd.py", line 149, in encode_from_tokens_scheduled | |
| pooled_dict = self.encode_from_tokens(tokens, return_pooled=return_pooled, return_dict=True) | |
| File "F:\SD-Zluda\ComfyUI\comfy\sd.py", line 211, in encode_from_tokens | |
| o = self.cond_stage_model.encode_token_weights(tokens) | |
| File "F:\SD-Zluda\ComfyUI\comfy\sd1_clip.py", line 640, in encode_token_weights | |
| out = getattr(self, self.clip).encode_token_weights(token_weight_pairs) | |
| File "F:\SD-Zluda\ComfyUI\comfy\sd1_clip.py", line 45, in encode_token_weights | |
| o = self.encode(to_encode) | |
| File "F:\SD-Zluda\ComfyUI\comfy\sd1_clip.py", line 252, in encode | |
| return self(tokens) | |
| File "F:\SD-Zluda\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1532, in _wrapped_call_impl | |
| return self._call_impl(*args, **kwargs) | |
| File "F:\SD-Zluda\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1541, in _call_impl | |
| return forward_call(*args, **kwargs) | |
| File "F:\SD-Zluda\ComfyUI\comfy\sd1_clip.py", line 224, in forward | |
| outputs = self.transformer(tokens, attention_mask_model, intermediate_output=self.layer_idx, final_layer_norm_intermediate=self.layer_norm_hidden_state, dtype=torch.float32) | |
| File "F:\SD-Zluda\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1532, in _wrapped_call_impl | |
| return self._call_impl(*args, **kwargs) | |
| File "F:\SD-Zluda\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1541, in _call_impl | |
| return forward_call(*args, **kwargs) | |
| File "F:\SD-Zluda\ComfyUI\comfy\clip_model.py", line 137, in forward | |
| x = self.text_model(*args, **kwargs) | |
| File "F:\SD-Zluda\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1532, in _wrapped_call_impl | |
| return self._call_impl(*args, **kwargs) | |
| File "F:\SD-Zluda\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1541, in _call_impl | |
| return forward_call(*args, **kwargs) | |
| File "F:\SD-Zluda\ComfyUI\comfy\clip_model.py", line 113, in forward | |
| x, i = self.encoder(x, mask=mask, intermediate_output=intermediate_output) | |
| File "F:\SD-Zluda\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1532, in _wrapped_call_impl | |
| return self._call_impl(*args, **kwargs) | |
| File "F:\SD-Zluda\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1541, in _call_impl | |
| return forward_call(*args, **kwargs) | |
| File "F:\SD-Zluda\ComfyUI\comfy\clip_model.py", line 70, in forward | |
| x = l(x, mask, optimized_attention) | |
| File "F:\SD-Zluda\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1532, in _wrapped_call_impl | |
| return self._call_impl(*args, **kwargs) | |
| File "F:\SD-Zluda\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1541, in _call_impl | |
| return forward_call(*args, **kwargs) | |
| File "F:\SD-Zluda\ComfyUI\comfy\clip_model.py", line 51, in forward | |
| x += self.self_attn(self.layer_norm1(x), mask, optimized_attention) | |
| File "F:\SD-Zluda\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1532, in _wrapped_call_impl | |
| return self._call_impl(*args, **kwargs) | |
| File "F:\SD-Zluda\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1541, in _call_impl | |
| return forward_call(*args, **kwargs) | |
| File "F:\SD-Zluda\ComfyUI\comfy\clip_model.py", line 17, in forward | |
| q = self.q_proj(x) | |
| File "F:\SD-Zluda\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1532, in _wrapped_call_impl | |
| return self._call_impl(*args, **kwargs) | |
| File "F:\SD-Zluda\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1541, in _call_impl | |
| return forward_call(*args, **kwargs) | |
| File "F:\SD-Zluda\ComfyUI\comfy\ops.py", line 68, in forward | |
| return self.forward_comfy_cast_weights(*args, **kwargs) | |
| File "F:\SD-Zluda\ComfyUI\comfy\ops.py", line 64, in forward_comfy_cast_weights | |
| return torch.nn.functional.linear(input, weight, bias) | |
| ``` | |
| ## System Information | |
| - **ComfyUI Version:** 0.3.14 | |
| - **Arguments:** main.py --auto-launch --disable-xformers --use-quad-cross-attention --reserve-vram 0.8 | |
| - **OS:** nt | |
| - **Python Version:** 3.10.11 (tags/v3.10.11:7d4cc5a, Apr 5 2023, 00:38:17) [MSC v.1929 64 bit (AMD64)] | |
| - **Embedded Python:** false | |
| - **PyTorch Version:** 2.3.1+cu118 | |
| ## Devices | |
| - **Name:** cuda:0 AMD Radeon RX 7900 XTX [ZLUDA] : native | |
| - **Type:** cuda | |
| - **VRAM Total:** 25753026560 | |
| - **VRAM Free:** 23690173440 | |
| - **Torch VRAM Total:** 268435456 | |
| - **Torch VRAM Free:** 4094976 | |
| ## Logs | |
| ``` | |
| 2025-02-22T10:21:37.692882 - Warning, you are using an old pytorch version and some ckpt/pt files might be loaded unsafely. Upgrading to 2.4 or above is recommended. | |
| 2025-02-22T10:21:38.144184 - Total VRAM 24560 MB, total RAM 65367 MB | |
| 2025-02-22T10:21:38.144184 - pytorch version: 2.3.1+cu118 | |
| 2025-02-22T10:21:38.144184 - Set vram state to: NORMAL_VRAM | |
| 2025-02-22T10:21:38.144184 - [36mDetected ZLUDA, support for it is experimental and comfy may not work properly.[0m | |
| 2025-02-22T10:21:38.144184 - [36mDisabling cuDNN because ZLUDA does currently not support it.[0m | |
| 2025-02-22T10:21:38.144184 - Device: cuda:0 AMD Radeon RX 7900 XTX [ZLUDA] : native. | |
| 2025-02-22T10:21:39.261982 - | |
| A module that was compiled using NumPy 1.x cannot be run in | |
| NumPy 2.2.3 as it may crash. To support both 1.x and 2.x | |
| versions of NumPy, modules must be compiled with NumPy 2.0. | |
| Some module may need to rebuild instead e.g. with 'pybind11>=2.12'. | |
| If you are a user of the module, the easiest solution will be to | |
| downgrade to 'numpy<2' or try to upgrade the affected module. | |
| We expect that some modules will need time to support NumPy 2. | |
| Traceback (most recent call last): File "F:\SD-Zluda\ComfyUI\main.py", line 136, in <module> | |
| import execution | |
| File "F:\SD-Zluda\ComfyUI\execution.py", line 13, in <module> | |
| import nodes | |
| File "F:\SD-Zluda\ComfyUI\nodes.py", line 22, in <module> | |
| import comfy.diffusers_load | |
| File "F:\SD-Zluda\ComfyUI\comfy\diffusers_load.py", line 3, in <module> | |
| import comfy.sd | |
| File "F:\SD-Zluda\ComfyUI\comfy\sd.py", line 10, in <module> | |
| from .ldm.cascade.stage_c_coder import StageC_coder | |
| File "F:\SD-Zluda\ComfyUI\comfy\ldm\cascade\stage_c_coder.py", line 19, in <module> | |
| import torchvision | |
| File "F:\SD-Zluda\ComfyUI\venv\lib\site-packages\torchvision\__init__.py", line 6, in <module> | |
| from torchvision import _meta_registrations, datasets, io, models, ops, transforms, utils | |
| File "F:\SD-Zluda\ComfyUI\venv\lib\site-packages\torchvision\models\__init__.py", line 2, in <module> | |
| from .convnext import * | |
| File "F:\SD-Zluda\ComfyUI\venv\lib\site-packages\torchvision\models\convnext.py", line 8, in <module> | |
| from ..ops.misc import Conv2dNormActivation, Permute | |
| File "F:\SD-Zluda\ComfyUI\venv\lib\site-packages\torchvision\ops\__init__.py", line 23, in <module> | |
| from .poolers import MultiScaleRoIAlign | |
| File "F:\SD-Zluda\ComfyUI\venv\lib\site-packages\torchvision\ops\poolers.py", line 10, in <module> | |
| from .roi_align import roi_align | |
| File "F:\SD-Zluda\ComfyUI\venv\lib\site-packages\torchvision\ops\roi_align.py", line 4, in <module> | |
| import torch._dynamo | |
| File "F:\SD-Zluda\ComfyUI\venv\lib\site-packages\torch\_dynamo\__init__.py", line 64, in <module> | |
| torch.manual_seed = disable(torch.manual_seed) | |
| File "F:\SD-Zluda\ComfyUI\venv\lib\site-packages\torch\_dynamo\decorators.py", line 50, in disable | |
| return DisableContext()(fn) | |
| File "F:\SD-Zluda\ComfyUI\venv\lib\site-packages\torch\_dynamo\eval_frame.py", line 410, in __call__ | |
| (filename is None or trace_rules.check(fn)) | |
| File "F:\SD-Zluda\ComfyUI\venv\lib\site-packages\torch\_dynamo\trace_rules.py", line 3378, in check | |
| return check_verbose(obj, is_inlined_call).skipped | |
| File "F:\SD-Zluda\ComfyUI\venv\lib\site-packages\torch\_dynamo\trace_rules.py", line 3361, in check_verbose | |
| rule = torch._dynamo.trace_rules.lookup_inner( | |
| File "F:\SD-Zluda\ComfyUI\venv\lib\site-packages\torch\_dynamo\trace_rules.py", line 3442, in lookup_inner | |
| rule = get_torch_obj_rule_map().get(obj, None) | |
| File "F:\SD-Zluda\ComfyUI\venv\lib\site-packages\torch\_dynamo\trace_rules.py", line 2782, in get_torch_obj_rule_map | |
| obj = load_object(k) | |
| File "F:\SD-Zluda\ComfyUI\venv\lib\site-packages\torch\_dynamo\trace_rules.py", line 2811, in load_object | |
| val = _load_obj_from_str(x[0]) | |
| File "F:\SD-Zluda\ComfyUI\venv\lib\site-packages\torch\_dynamo\trace_rules.py", line 2795, in _load_obj_from_str | |
| return getattr(importlib.import_module(module), obj_name) | |
| File "C:\Program Files\Python_3_10\lib\importlib\__init__.py", line 126, in import_module | |
| return _bootstrap._gcd_import(name[level:], package, level) | |
| File "F:\SD-Zluda\ComfyUI\venv\lib\site-packages\torch\nested\_internal\nested_tensor.py", line 417, in <module> | |
| values=torch.randn(3, 3, device="meta"), | |
| 2025-02-22T10:21:39.265982 - F:\SD-Zluda\ComfyUI\venv\lib\site-packages\torch\nested\_internal\nested_tensor.py:417: UserWarning: Failed to initialize NumPy: _ARRAY_API not found (Triggered internally at ..\torch\csrc\utils\tensor_numpy.cpp:84.) | |
| values=torch.randn(3, 3, device="meta"), | |
| 2025-02-22T10:21:39.399106 - Using sub quadratic optimization for attention, if you have memory or speed issues try using: --use-split-cross-attention | |
| 2025-02-22T10:21:48.989186 - ComfyUI version: 0.3.14 | |
| 2025-02-22T10:21:49.012875 - ****** User settings have been changed to be stored on the server instead of browser storage. ****** | |
| 2025-02-22T10:21:49.012875 - ****** For multi-user setups add the --multi-user CLI argument to enable multiple user profiles. ****** | |
| 2025-02-22T10:21:49.012875 - [Prompt Server] web root: F:\SD-Zluda\ComfyUI\web | |
| 2025-02-22T10:21:49.032872 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_latent to prevent enabling cuDNN.[0m | |
| 2025-02-22T10:21:49.037233 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_hypernetwork to prevent enabling cuDNN.[0m | |
| 2025-02-22T10:21:49.121726 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_upscale_model to prevent enabling cuDNN.[0m | |
| 2025-02-22T10:21:49.121726 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_post_processing to prevent enabling cuDNN.[0m | |
| 2025-02-22T10:21:49.133730 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_mask to prevent enabling cuDNN.[0m | |
| 2025-02-22T10:21:49.141369 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_compositing to prevent enabling cuDNN.[0m | |
| 2025-02-22T10:21:49.145267 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_rebatch to prevent enabling cuDNN.[0m | |
| 2025-02-22T10:21:49.157282 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_model_merging to prevent enabling cuDNN.[0m | |
| 2025-02-22T10:21:49.165384 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_tomesd to prevent enabling cuDNN.[0m | |
| 2025-02-22T10:21:49.169384 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_clip_sdxl to prevent enabling cuDNN.[0m | |
| 2025-02-22T10:21:49.600166 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_canny to prevent enabling cuDNN.[0m | |
| 2025-02-22T10:21:49.608170 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_freelunch to prevent enabling cuDNN.[0m | |
| 2025-02-22T10:21:49.672170 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_custom_sampler to prevent enabling cuDNN.[0m | |
| 2025-02-22T10:21:49.684170 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_hypertile to prevent enabling cuDNN.[0m | |
| 2025-02-22T10:21:49.691818 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_model_advanced to prevent enabling cuDNN.[0m | |
| 2025-02-22T10:21:49.699824 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_model_downscale to prevent enabling cuDNN.[0m | |
| 2025-02-22T10:21:49.707829 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_images to prevent enabling cuDNN.[0m | |
| 2025-02-22T10:21:49.715883 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_video_model to prevent enabling cuDNN.[0m | |
| 2025-02-22T10:21:49.723884 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_sag to prevent enabling cuDNN.[0m | |
| 2025-02-22T10:21:49.731883 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_perpneg to prevent enabling cuDNN.[0m | |
| 2025-02-22T10:21:49.739882 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_stable3d to prevent enabling cuDNN.[0m | |
| 2025-02-22T10:21:49.747882 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_sdupscale to prevent enabling cuDNN.[0m | |
| 2025-02-22T10:21:49.752275 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_photomaker to prevent enabling cuDNN.[0m | |
| 2025-02-22T10:21:49.760279 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_pixart to prevent enabling cuDNN.[0m | |
| 2025-02-22T10:21:49.764279 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_cond to prevent enabling cuDNN.[0m | |
| 2025-02-22T10:21:49.768278 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_morphology to prevent enabling cuDNN.[0m | |
| 2025-02-22T10:21:49.776280 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_stable_cascade to prevent enabling cuDNN.[0m | |
| 2025-02-22T10:21:49.784585 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_differential_diffusion to prevent enabling cuDNN.[0m | |
| 2025-02-22T10:21:49.788588 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_ip2p to prevent enabling cuDNN.[0m | |
| 2025-02-22T10:21:49.796119 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_model_merging_model_specific to prevent enabling cuDNN.[0m | |
| 2025-02-22T10:21:49.804126 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_pag to prevent enabling cuDNN.[0m | |
| 2025-02-22T10:21:49.808129 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_align_your_steps to prevent enabling cuDNN.[0m | |
| 2025-02-22T10:21:49.816606 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_attention_multiply to prevent enabling cuDNN.[0m | |
| 2025-02-22T10:21:49.820717 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_advanced_samplers to prevent enabling cuDNN.[0m | |
| 2025-02-22T10:21:49.828720 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_webcam to prevent enabling cuDNN.[0m | |
| 2025-02-22T10:21:50.054690 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_audio to prevent enabling cuDNN.[0m | |
| 2025-02-22T10:21:50.070419 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_sd3 to prevent enabling cuDNN.[0m | |
| 2025-02-22T10:21:50.082418 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_gits to prevent enabling cuDNN.[0m | |
| 2025-02-22T10:21:50.090421 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_controlnet to prevent enabling cuDNN.[0m | |
| 2025-02-22T10:21:50.094422 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_hunyuan to prevent enabling cuDNN.[0m | |
| 2025-02-22T10:21:50.102069 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_flux to prevent enabling cuDNN.[0m | |
| 2025-02-22T10:21:50.110071 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_lora_extract to prevent enabling cuDNN.[0m | |
| 2025-02-22T10:21:50.114076 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_torch_compile to prevent enabling cuDNN.[0m | |
| 2025-02-22T10:21:50.118078 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_mochi to prevent enabling cuDNN.[0m | |
| 2025-02-22T10:21:50.118078 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_slg to prevent enabling cuDNN.[0m | |
| 2025-02-22T10:21:50.126079 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_mahiro to prevent enabling cuDNN.[0m | |
| 2025-02-22T10:21:50.130111 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_lt to prevent enabling cuDNN.[0m | |
| 2025-02-22T10:21:50.142116 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_hooks to prevent enabling cuDNN.[0m | |
| 2025-02-22T10:21:50.150116 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_load_3d to prevent enabling cuDNN.[0m | |
| 2025-02-22T10:21:50.154115 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_cosmos to prevent enabling cuDNN.[0m | |
| 2025-02-22T10:21:50.162338 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\custom_nodes\websocket_image_save to prevent enabling cuDNN.[0m | |
| 2025-02-22T10:21:50.162338 - | |
| Import times for custom nodes: | |
| 2025-02-22T10:21:50.162338 - 0.0 seconds: F:\SD-Zluda\ComfyUI\custom_nodes\websocket_image_save.py | |
| 2025-02-22T10:21:50.162338 - | |
| 2025-02-22T10:21:50.166424 - Starting server | |
| 2025-02-22T10:21:50.166424 - To see the GUI go to: http://127.0.0.1:8188 | |
| 2025-02-22T10:22:14.182535 - got prompt | |
| 2025-02-22T10:22:14.355183 - model weight dtype torch.float16, manual cast: None | |
| 2025-02-22T10:22:14.449319 - model_type EPS | |
| 2025-02-22T10:22:16.504876 - Using split attention in VAE | |
| 2025-02-22T10:22:16.508877 - Using split attention in VAE | |
| 2025-02-22T10:22:16.730589 - VAE load device: cuda:0, offload device: cpu, dtype: torch.bfloat16 | |
| 2025-02-22T10:22:16.806096 - CLIP/text encoder model load device: cuda:0, offload device: cpu, current: cpu, dtype: torch.float16 | |
| 2025-02-22T10:22:17.526342 - Requested to load SD1ClipModel | |
| 2025-02-22T10:22:17.593854 - loaded completely 22772.75625 235.84423828125 True | |
| 2025-02-22T10:25:09.755591 - !!! Exception during processing !!! CUDA error: CUBLAS_STATUS_NOT_SUPPORTED when calling `cublasSgemm( handle, opa, opb, m, n, k, &alpha, a, lda, b, ldb, &beta, c, ldc)` | |
| 2025-02-22T10:25:09.765636 - Traceback (most recent call last): | |
| File "F:\SD-Zluda\ComfyUI\execution.py", line 327, in execute | |
| output_data, output_ui, has_subgraph = get_output_data(obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb) | |
| File "F:\SD-Zluda\ComfyUI\execution.py", line 202, in get_output_data | |
| return_values = _map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb) | |
| File "F:\SD-Zluda\ComfyUI\execution.py", line 174, in _map_node_over_list | |
| process_inputs(input_dict, i) | |
| File "F:\SD-Zluda\ComfyUI\execution.py", line 163, in process_inputs | |
| results.append(getattr(obj, func)(**inputs)) | |
| File "F:\SD-Zluda\ComfyUI\nodes.py", line 69, in encode | |
| return (clip.encode_from_tokens_scheduled(tokens), ) | |
| File "F:\SD-Zluda\ComfyUI\comfy\sd.py", line 149, in encode_from_tokens_scheduled | |
| pooled_dict = self.encode_from_tokens(tokens, return_pooled=return_pooled, return_dict=True) | |
| File "F:\SD-Zluda\ComfyUI\comfy\sd.py", line 211, in encode_from_tokens | |
| o = self.cond_stage_model.encode_token_weights(tokens) | |
| File "F:\SD-Zluda\ComfyUI\comfy\sd1_clip.py", line 640, in encode_token_weights | |
| out = getattr(self, self.clip).encode_token_weights(token_weight_pairs) | |
| File "F:\SD-Zluda\ComfyUI\comfy\sd1_clip.py", line 45, in encode_token_weights | |
| o = self.encode(to_encode) | |
| File "F:\SD-Zluda\ComfyUI\comfy\sd1_clip.py", line 252, in encode | |
| return self(tokens) | |
| File "F:\SD-Zluda\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1532, in _wrapped_call_impl | |
| return self._call_impl(*args, **kwargs) | |
| File "F:\SD-Zluda\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1541, in _call_impl | |
| return forward_call(*args, **kwargs) | |
| File "F:\SD-Zluda\ComfyUI\comfy\sd1_clip.py", line 224, in forward | |
| outputs = self.transformer(tokens, attention_mask_model, intermediate_output=self.layer_idx, final_layer_norm_intermediate=self.layer_norm_hidden_state, dtype=torch.float32) | |
| File "F:\SD-Zluda\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1532, in _wrapped_call_impl | |
| return self._call_impl(*args, **kwargs) | |
| File "F:\SD-Zluda\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1541, in _call_impl | |
| return forward_call(*args, **kwargs) | |
| File "F:\SD-Zluda\ComfyUI\comfy\clip_model.py", line 137, in forward | |
| x = self.text_model(*args, **kwargs) | |
| File "F:\SD-Zluda\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1532, in _wrapped_call_impl | |
| return self._call_impl(*args, **kwargs) | |
| File "F:\SD-Zluda\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1541, in _call_impl | |
| return forward_call(*args, **kwargs) | |
| File "F:\SD-Zluda\ComfyUI\comfy\clip_model.py", line 113, in forward | |
| x, i = self.encoder(x, mask=mask, intermediate_output=intermediate_output) | |
| File "F:\SD-Zluda\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1532, in _wrapped_call_impl | |
| return self._call_impl(*args, **kwargs) | |
| File "F:\SD-Zluda\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1541, in _call_impl | |
| return forward_call(*args, **kwargs) | |
| File "F:\SD-Zluda\ComfyUI\comfy\clip_model.py", line 70, in forward | |
| x = l(x, mask, optimized_attention) | |
| File "F:\SD-Zluda\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1532, in _wrapped_call_impl | |
| return self._call_impl(*args, **kwargs) | |
| File "F:\SD-Zluda\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1541, in _call_impl | |
| return forward_call(*args, **kwargs) | |
| File "F:\SD-Zluda\ComfyUI\comfy\clip_model.py", line 51, in forward | |
| x += self.self_attn(self.layer_norm1(x), mask, optimized_attention) | |
| File "F:\SD-Zluda\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1532, in _wrapped_call_impl | |
| return self._call_impl(*args, **kwargs) | |
| File "F:\SD-Zluda\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1541, in _call_impl | |
| return forward_call(*args, **kwargs) | |
| File "F:\SD-Zluda\ComfyUI\comfy\clip_model.py", line 17, in forward | |
| q = self.q_proj(x) | |
| File "F:\SD-Zluda\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1532, in _wrapped_call_impl | |
| return self._call_impl(*args, **kwargs) | |
| File "F:\SD-Zluda\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1541, in _call_impl | |
| return forward_call(*args, **kwargs) | |
| File "F:\SD-Zluda\ComfyUI\comfy\ops.py", line 68, in forward | |
| return self.forward_comfy_cast_weights(*args, **kwargs) | |
| File "F:\SD-Zluda\ComfyUI\comfy\ops.py", line 64, in forward_comfy_cast_weights | |
| return torch.nn.functional.linear(input, weight, bias) | |
| RuntimeError: CUDA error: CUBLAS_STATUS_NOT_SUPPORTED when calling `cublasSgemm( handle, opa, opb, m, n, k, &alpha, a, lda, b, ldb, &beta, c, ldc)` | |
| 2025-02-22T10:25:09.765636 - Prompt executed in 175.58 seconds | |
| ``` | |
| ## Attached Workflow | |
| Please make sure that workflow does not contain any sensitive information such as API keys or passwords. | |
| ``` | |
| {"last_node_id":9,"last_link_id":9,"nodes":[{"id":7,"type":"CLIPTextEncode","pos":[413,389],"size":[425.27801513671875,180.6060791015625],"flags":{},"order":3,"mode":0,"inputs":[{"name":"clip","type":"CLIP","link":5}],"outputs":[{"name":"CONDITIONING","type":"CONDITIONING","links":[6],"slot_index":0}],"properties":{"Node name for S&R":"CLIPTextEncode"},"widgets_values":["text, watermark"]},{"id":6,"type":"CLIPTextEncode","pos":[415,186],"size":[422.84503173828125,164.31304931640625],"flags":{},"order":2,"mode":0,"inputs":[{"name":"clip","type":"CLIP","link":3}],"outputs":[{"name":"CONDITIONING","type":"CONDITIONING","links":[4],"slot_index":0}],"properties":{"Node name for S&R":"CLIPTextEncode"},"widgets_values":["beautiful scenery nature glass bottle landscape, , purple galaxy bottle,"]},{"id":5,"type":"EmptyLatentImage","pos":[473,609],"size":[315,106],"flags":{},"order":0,"mode":0,"inputs":[],"outputs":[{"name":"LATENT","type":"LATENT","links":[2],"slot_index":0}],"properties":{"Node name for S&R":"EmptyLatentImage"},"widgets_values":[512,512,1]},{"id":3,"type":"KSampler","pos":[863,186],"size":[315,262],"flags":{},"order":4,"mode":0,"inputs":[{"name":"model","type":"MODEL","link":1},{"name":"positive","type":"CONDITIONING","link":4},{"name":"negative","type":"CONDITIONING","link":6},{"name":"latent_image","type":"LATENT","link":2}],"outputs":[{"name":"LATENT","type":"LATENT","links":[7],"slot_index":0}],"properties":{"Node name for S&R":"KSampler"},"widgets_values":[824862170463928,"randomize",20,8,"euler","normal",1]},{"id":8,"type":"VAEDecode","pos":[1209,188],"size":[210,46],"flags":{},"order":5,"mode":0,"inputs":[{"name":"samples","type":"LATENT","link":7},{"name":"vae","type":"VAE","link":8}],"outputs":[{"name":"IMAGE","type":"IMAGE","links":[9],"slot_index":0}],"properties":{"Node name for S&R":"VAEDecode"},"widgets_values":[]},{"id":9,"type":"SaveImage","pos":[1451,189],"size":[210,58],"flags":{},"order":6,"mode":0,"inputs":[{"name":"images","type":"IMAGE","link":9}],"outputs":[],"properties":{},"widgets_values":["ComfyUI"]},{"id":4,"type":"CheckpointLoaderSimple","pos":[26,474],"size":[315,98],"flags":{},"order":1,"mode":0,"inputs":[],"outputs":[{"name":"MODEL","type":"MODEL","links":[1],"slot_index":0},{"name":"CLIP","type":"CLIP","links":[3,5],"slot_index":1},{"name":"VAE","type":"VAE","links":[8],"slot_index":2}],"properties":{"Node name for S&R":"CheckpointLoaderSimple"},"widgets_values":["dreamshaper_5BakedVae.safetensors"]}],"links":[[1,4,0,3,0,"MODEL"],[2,5,0,3,3,"LATENT"],[3,4,1,6,0,"CLIP"],[4,6,0,3,1,"CONDITIONING"],[5,4,1,7,0,"CLIP"],[6,7,0,3,2,"CONDITIONING"],[7,3,0,8,0,"LATENT"],[8,4,2,8,1,"VAE"],[9,8,0,9,0,"IMAGE"]],"groups":[],"config":{},"extra":{"ds":{"scale":1,"offset":{"0":0,"1":0}}},"version":0.4} | |
| ``` | |
| ## Additional Context | |
| (Please add any additional context or steps to reproduce the error here) | |
| _____________________________________________________________________________________________________________________________________________ | |
| numpy error | |
| Getting ComfyUI-Manager: | |
| After the installation is done go into ComfyUI/custom_nodes folder | |
| Click in the File Explorer bar (not searchbar) and type cmd then press enter. | |
| Then you copy and paste this command: | |
| git clone https://github.com/ltdrdata/ComfyUI-Manager.git | |
| Press enter and after its done you can close the cmd. | |
| Microsoft Windows [Version 10.0.22631.4602] | |
| (c) Microsoft Corporation. All rights reserved. | |
| F:\SD-Zluda\ComfyUI\custom_nodes>git clone https://github.com/ltdrdata/ComfyUI-Manager.git | |
| Cloning into 'ComfyUI-Manager'... | |
| remote: Enumerating objects: 17913, done. | |
| remote: Counting objects: 100% (2916/2916), done. | |
| remote: Compressing objects: 100% (223/223), done. | |
| remote: Total 17913 (delta 2782), reused 2697 (delta 2693), pack-reused 14997 (from 1)Receiving objects: 100% (17913/179 | |
| Resolving deltas: 100% (13274/13274), done. | |
| F:\SD-Zluda\ComfyUI\custom_nodes> | |
| If you get a NUMPY Error do the following: | |
| Install the Comfyui-Manager from below, then Click on Manager > Click on Install PIP Packages > type numpy==1.26.4 > Click OK and restart the server as prompted. | |
| # ComfyUI Error Report | |
| ## Error Details | |
| - **Node ID:** 30 | |
| - **Node Type:** HyVideoTextEncode | |
| - **Exception Type:** IndexError | |
| - **Exception Message:** list index out of range | |
| ## Stack Trace | |
| ``` | |
| File "F:\SD-Zluda\ComfyUI\execution.py", line 327, in execute | |
| output_data, output_ui, has_subgraph = get_output_data(obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb) | |
| File "F:\SD-Zluda\ComfyUI\execution.py", line 202, in get_output_data | |
| return_values = _map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb) | |
| File "F:\SD-Zluda\ComfyUI\execution.py", line 174, in _map_node_over_list | |
| process_inputs(input_dict, i) | |
| File "F:\SD-Zluda\ComfyUI\execution.py", line 163, in process_inputs | |
| results.append(getattr(obj, func)(**inputs)) | |
| File "F:\SD-Zluda\ComfyUI\custom_nodes\comfyui-hunyuanvideowrapper\nodes.py", line 905, in process | |
| prompt_embeds, negative_prompt_embeds, attention_mask, negative_attention_mask = encode_prompt(self, | |
| File "F:\SD-Zluda\ComfyUI\custom_nodes\comfyui-hunyuanvideowrapper\nodes.py", line 830, in encode_prompt | |
| text_inputs = text_encoder.text2tokens(prompt, | |
| File "F:\SD-Zluda\ComfyUI\custom_nodes\comfyui-hunyuanvideowrapper\hyvideo\text_encoder\__init__.py", line 253, in text2tokens | |
| text_tokens = self.processor( | |
| File "F:\SD-Zluda\ComfyUI\venv\lib\site-packages\transformers\models\llava\processing_llava.py", line 145, in __call__ | |
| image_inputs = self.image_processor(images, **output_kwargs["images_kwargs"]) | |
| File "F:\SD-Zluda\ComfyUI\venv\lib\site-packages\transformers\image_processing_utils.py", line 42, in __call__ | |
| return self.preprocess(images, **kwargs) | |
| File "F:\SD-Zluda\ComfyUI\venv\lib\site-packages\transformers\models\clip\image_processing_clip.py", line 312, in preprocess | |
| if do_rescale and is_scaled_image(images[0]): | |
| ``` | |
| ## System Information | |
| - **ComfyUI Version:** 0.3.14 | |
| - **Arguments:** main.py --auto-launch --disable-xformers --use-quad-cross-attention --reserve-vram 0.8 | |
| - **OS:** nt | |
| - **Python Version:** 3.10.11 (tags/v3.10.11:7d4cc5a, Apr 5 2023, 00:38:17) [MSC v.1929 64 bit (AMD64)] | |
| - **Embedded Python:** false | |
| - **PyTorch Version:** 2.3.1+cu118 | |
| ## Devices | |
| - **Name:** cuda:0 AMD Radeon RX 7900 XTX [ZLUDA] : native | |
| - **Type:** cuda | |
| - **VRAM Total:** 25753026560 | |
| - **VRAM Free:** 7207262720 | |
| - **Torch VRAM Total:** 16863199232 | |
| - **Torch VRAM Free:** 143256064 | |
| ## Logs | |
| ``` | |
| 2025-02-23T13:40:23.752223 - [START] Security scan2025-02-23T13:40:23.752223 - | |
| 2025-02-23T13:40:24.260647 - [DONE] Security scan2025-02-23T13:40:24.260647 - | |
| 2025-02-23T13:40:24.318042 - ## ComfyUI-Manager: installing dependencies done.2025-02-23T13:40:24.318042 - | |
| 2025-02-23T13:40:24.333637 - ** ComfyUI startup time:2025-02-23T13:40:24.333637 - 2025-02-23T13:40:24.333637 - 2025-02-23 13:40:24.3332025-02-23T13:40:24.333637 - | |
| 2025-02-23T13:40:24.333890 - ** Platform:2025-02-23T13:40:24.333890 - 2025-02-23T13:40:24.333890 - Windows2025-02-23T13:40:24.333890 - | |
| 2025-02-23T13:40:24.333890 - ** Python version:2025-02-23T13:40:24.333890 - 2025-02-23T13:40:24.333890 - 3.10.11 (tags/v3.10.11:7d4cc5a, Apr 5 2023, 00:38:17) [MSC v.1929 64 bit (AMD64)]2025-02-23T13:40:24.333890 - | |
| 2025-02-23T13:40:24.333890 - ** Python executable:2025-02-23T13:40:24.333890 - 2025-02-23T13:40:24.333890 - F:\SD-Zluda\ComfyUI\venv\Scripts\python.exe2025-02-23T13:40:24.333890 - | |
| 2025-02-23T13:40:24.333890 - ** ComfyUI Path:2025-02-23T13:40:24.333890 - 2025-02-23T13:40:24.333890 - F:\SD-Zluda\ComfyUI2025-02-23T13:40:24.333890 - | |
| 2025-02-23T13:40:24.333890 - ** ComfyUI Base Folder Path:2025-02-23T13:40:24.333890 - 2025-02-23T13:40:24.333890 - F:\SD-Zluda\ComfyUI2025-02-23T13:40:24.333890 - | |
| 2025-02-23T13:40:24.333890 - ** User directory:2025-02-23T13:40:24.333890 - 2025-02-23T13:40:24.333890 - F:\SD-Zluda\ComfyUI\user2025-02-23T13:40:24.333890 - | |
| 2025-02-23T13:40:24.333890 - ** ComfyUI-Manager config path:2025-02-23T13:40:24.334930 - 2025-02-23T13:40:24.334930 - F:\SD-Zluda\ComfyUI\user\default\ComfyUI-Manager\config.ini2025-02-23T13:40:24.334930 - | |
| 2025-02-23T13:40:24.343615 - ** Log path:2025-02-23T13:40:24.343615 - 2025-02-23T13:40:24.343615 - F:\SD-Zluda\ComfyUI\user\comfyui.log2025-02-23T13:40:24.343615 - | |
| 2025-02-23T13:40:24.868186 - | |
| Prestartup times for custom nodes: | |
| 2025-02-23T13:40:24.868186 - 1.4 seconds: F:\SD-Zluda\ComfyUI\custom_nodes\ComfyUI-Manager | |
| 2025-02-23T13:40:24.868186 - | |
| 2025-02-23T13:40:25.845780 - Warning, you are using an old pytorch version and some ckpt/pt files might be loaded unsafely. Upgrading to 2.4 or above is recommended. | |
| 2025-02-23T13:40:26.192623 - Total VRAM 24560 MB, total RAM 65367 MB | |
| 2025-02-23T13:40:26.192623 - pytorch version: 2.3.1+cu118 | |
| 2025-02-23T13:40:26.192623 - Set vram state to: NORMAL_VRAM | |
| 2025-02-23T13:40:26.192623 - [36mDetected ZLUDA, support for it is experimental and comfy may not work properly.[0m | |
| 2025-02-23T13:40:26.192623 - [36mDisabling cuDNN because ZLUDA does currently not support it.[0m | |
| 2025-02-23T13:40:26.192623 - Device: cuda:0 AMD Radeon RX 7900 XTX [ZLUDA] : native. | |
| 2025-02-23T13:40:26.801718 - Using sub quadratic optimization for attention, if you have memory or speed issues try using: --use-split-cross-attention | |
| 2025-02-23T13:40:27.625151 - ComfyUI version: 0.3.14 | |
| 2025-02-23T13:40:27.644388 - [Prompt Server] web root: F:\SD-Zluda\ComfyUI\web | |
| 2025-02-23T13:40:27.645384 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_latent to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:40:27.646477 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_hypernetwork to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:40:27.698675 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_upscale_model to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:40:27.698675 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_post_processing to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:40:27.698675 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_mask to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:40:27.698675 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_compositing to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:40:27.698675 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_rebatch to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:40:27.698675 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_model_merging to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:40:27.714465 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_tomesd to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:40:27.715501 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_clip_sdxl to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:40:27.941246 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_canny to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:40:27.941246 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_freelunch to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:40:27.941246 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_custom_sampler to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:40:27.941246 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_hypertile to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:40:27.941246 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_model_advanced to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:40:27.941246 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_model_downscale to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:40:27.941246 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_images to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:40:27.941246 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_video_model to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:40:27.941246 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_sag to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:40:27.941246 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_perpneg to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:40:27.941246 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_stable3d to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:40:27.955749 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_sdupscale to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:40:27.955749 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_photomaker to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:40:27.955749 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_pixart to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:40:27.955749 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_cond to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:40:27.955749 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_morphology to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:40:27.955749 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_stable_cascade to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:40:27.955749 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_differential_diffusion to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:40:27.955749 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_ip2p to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:40:27.955749 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_model_merging_model_specific to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:40:27.955749 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_pag to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:40:27.955749 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_align_your_steps to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:40:27.955749 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_attention_multiply to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:40:27.955749 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_advanced_samplers to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:40:27.955749 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_webcam to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:40:28.010625 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_audio to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:40:28.011625 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_sd3 to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:40:28.013625 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_gits to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:40:28.013703 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_controlnet to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:40:28.013703 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_hunyuan to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:40:28.013703 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_flux to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:40:28.013703 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_lora_extract to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:40:28.013703 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_torch_compile to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:40:28.013703 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_mochi to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:40:28.013703 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_slg to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:40:28.013703 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_mahiro to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:40:28.013703 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_lt to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:40:28.013703 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_hooks to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:40:28.013703 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_load_3d to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:40:28.013703 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_cosmos to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:40:28.013703 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node comfy-image-saver to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:40:28.249297 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node comfyui-hunyuanvideowrapper to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:40:28.249297 - Total VRAM 24560 MB, total RAM 65367 MB | |
| 2025-02-23T13:40:28.249297 - pytorch version: 2.3.1+cu118 | |
| 2025-02-23T13:40:28.249297 - Set vram state to: NORMAL_VRAM | |
| 2025-02-23T13:40:28.249297 - [36mDetected ZLUDA, support for it is experimental and comfy may not work properly.[0m | |
| 2025-02-23T13:40:28.249297 - Device: cuda:0 AMD Radeon RX 7900 XTX [ZLUDA] : native. | |
| 2025-02-23T13:40:28.268841 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node comfyui-kjnodes to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:40:28.270849 - ### Loading: ComfyUI-Manager (V3.25.1) | |
| 2025-02-23T13:40:28.270849 - [ComfyUI-Manager] network_mode: public | |
| 2025-02-23T13:40:28.360786 - ### ComfyUI Revision: 3161 on 'nodes-cudnn-patch' [07833a5f] | Released on '2025-02-10' | |
| 2025-02-23T13:40:28.471590 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node ComfyUI-Manager to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:40:28.510464 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node comfyui-videohelpersuite to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:40:28.510464 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\custom_nodes\websocket_image_save to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:40:28.510464 - | |
| Import times for custom nodes: | |
| 2025-02-23T13:40:28.510464 - 0.0 seconds: F:\SD-Zluda\ComfyUI\custom_nodes\websocket_image_save.py | |
| 2025-02-23T13:40:28.510464 - 0.0 seconds: F:\SD-Zluda\ComfyUI\custom_nodes\comfy-image-saver | |
| 2025-02-23T13:40:28.510464 - 0.0 seconds: F:\SD-Zluda\ComfyUI\custom_nodes\comfyui-kjnodes | |
| 2025-02-23T13:40:28.510464 - 0.0 seconds: F:\SD-Zluda\ComfyUI\custom_nodes\comfyui-videohelpersuite | |
| 2025-02-23T13:40:28.510464 - 0.2 seconds: F:\SD-Zluda\ComfyUI\custom_nodes\ComfyUI-Manager | |
| 2025-02-23T13:40:28.510464 - 0.2 seconds: F:\SD-Zluda\ComfyUI\custom_nodes\comfyui-hunyuanvideowrapper | |
| 2025-02-23T13:40:28.510464 - | |
| 2025-02-23T13:40:28.510464 - Starting server | |
| 2025-02-23T13:40:28.510464 - To see the GUI go to: http://127.0.0.1:8188 | |
| 2025-02-23T13:40:28.878893 - [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/alter-list.json | |
| 2025-02-23T13:40:28.878893 - [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/model-list.json | |
| 2025-02-23T13:40:28.899728 - [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/github-stats.json | |
| 2025-02-23T13:40:28.942268 - [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/extension-node-map.json | |
| 2025-02-23T13:40:28.952271 - [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/custom-node-list.json | |
| 2025-02-23T13:40:31.229929 - got prompt | |
| 2025-02-23T13:40:32.900627 - FETCH ComfyRegistry Data: 5/342025-02-23T13:40:32.900627 - | |
| 2025-02-23T13:40:33.183913 - F:\SD-Zluda\ComfyUI\venv\lib\site-packages\diffusers\models\attention_processor.py:3286: UserWarning: 1Torch was not compiled with flash attention. (Triggered internally at ..\aten\src\ATen\native\transformers\cuda\sdp_utils.cpp:455.) | |
| hidden_states = F.scaled_dot_product_attention( | |
| 2025-02-23T13:40:33.427679 - encoded latents shape2025-02-23T13:40:33.427679 - 2025-02-23T13:40:33.427679 - torch.Size([1, 16, 1, 120, 68])2025-02-23T13:40:33.427679 - | |
| 2025-02-23T13:40:33.427679 - Loading text encoder model (clipL) from: F:\SD-Zluda\ComfyUI\models\clip\clip-vit-large-patch14 | |
| 2025-02-23T13:40:33.434684 - !!! Exception during processing !!! Error no file named pytorch_model.bin, model.safetensors, tf_model.h5, model.ckpt.index or flax_model.msgpack found in directory F:\SD-Zluda\ComfyUI\models\clip\clip-vit-large-patch14. | |
| 2025-02-23T13:40:33.463889 - Traceback (most recent call last): | |
| File "F:\SD-Zluda\ComfyUI\execution.py", line 327, in execute | |
| output_data, output_ui, has_subgraph = get_output_data(obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb) | |
| File "F:\SD-Zluda\ComfyUI\execution.py", line 202, in get_output_data | |
| return_values = _map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb) | |
| File "F:\SD-Zluda\ComfyUI\execution.py", line 174, in _map_node_over_list | |
| process_inputs(input_dict, i) | |
| File "F:\SD-Zluda\ComfyUI\execution.py", line 163, in process_inputs | |
| results.append(getattr(obj, func)(**inputs)) | |
| File "F:\SD-Zluda\ComfyUI\custom_nodes\comfyui-hunyuanvideowrapper\nodes.py", line 683, in loadmodel | |
| text_encoder_2 = TextEncoder( | |
| File "F:\SD-Zluda\ComfyUI\custom_nodes\comfyui-hunyuanvideowrapper\hyvideo\text_encoder\__init__.py", line 167, in __init__ | |
| self.model, self.model_path = load_text_encoder( | |
| File "F:\SD-Zluda\ComfyUI\custom_nodes\comfyui-hunyuanvideowrapper\hyvideo\text_encoder\__init__.py", line 36, in load_text_encoder | |
| text_encoder = CLIPTextModel.from_pretrained(text_encoder_path) | |
| File "F:\SD-Zluda\ComfyUI\venv\lib\site-packages\transformers\modeling_utils.py", line 262, in _wrapper | |
| return func(*args, **kwargs) | |
| File "F:\SD-Zluda\ComfyUI\venv\lib\site-packages\transformers\modeling_utils.py", line 3808, in from_pretrained | |
| raise EnvironmentError( | |
| OSError: Error no file named pytorch_model.bin, model.safetensors, tf_model.h5, model.ckpt.index or flax_model.msgpack found in directory F:\SD-Zluda\ComfyUI\models\clip\clip-vit-large-patch14. | |
| 2025-02-23T13:40:33.464889 - Prompt executed in 2.23 seconds | |
| 2025-02-23T13:40:36.757132 - FETCH ComfyRegistry Data: 10/342025-02-23T13:40:36.757132 - | |
| 2025-02-23T13:40:40.757312 - FETCH ComfyRegistry Data: 15/342025-02-23T13:40:40.757312 - | |
| 2025-02-23T13:40:44.667249 - FETCH ComfyRegistry Data: 20/342025-02-23T13:40:44.667249 - | |
| 2025-02-23T13:40:45.723791 - got prompt | |
| 2025-02-23T13:40:45.735794 - Loading text encoder model (clipL) from: F:\SD-Zluda\ComfyUI\models\clip\clip-vit-large-patch14 | |
| 2025-02-23T13:40:45.735794 - !!! Exception during processing !!! Error no file named pytorch_model.bin, model.safetensors, tf_model.h5, model.ckpt.index or flax_model.msgpack found in directory F:\SD-Zluda\ComfyUI\models\clip\clip-vit-large-patch14. | |
| 2025-02-23T13:40:45.735794 - Traceback (most recent call last): | |
| File "F:\SD-Zluda\ComfyUI\execution.py", line 327, in execute | |
| output_data, output_ui, has_subgraph = get_output_data(obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb) | |
| File "F:\SD-Zluda\ComfyUI\execution.py", line 202, in get_output_data | |
| return_values = _map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb) | |
| File "F:\SD-Zluda\ComfyUI\execution.py", line 174, in _map_node_over_list | |
| process_inputs(input_dict, i) | |
| File "F:\SD-Zluda\ComfyUI\execution.py", line 163, in process_inputs | |
| results.append(getattr(obj, func)(**inputs)) | |
| File "F:\SD-Zluda\ComfyUI\custom_nodes\comfyui-hunyuanvideowrapper\nodes.py", line 683, in loadmodel | |
| text_encoder_2 = TextEncoder( | |
| File "F:\SD-Zluda\ComfyUI\custom_nodes\comfyui-hunyuanvideowrapper\hyvideo\text_encoder\__init__.py", line 167, in __init__ | |
| self.model, self.model_path = load_text_encoder( | |
| File "F:\SD-Zluda\ComfyUI\custom_nodes\comfyui-hunyuanvideowrapper\hyvideo\text_encoder\__init__.py", line 36, in load_text_encoder | |
| text_encoder = CLIPTextModel.from_pretrained(text_encoder_path) | |
| File "F:\SD-Zluda\ComfyUI\venv\lib\site-packages\transformers\modeling_utils.py", line 262, in _wrapper | |
| return func(*args, **kwargs) | |
| File "F:\SD-Zluda\ComfyUI\venv\lib\site-packages\transformers\modeling_utils.py", line 3808, in from_pretrained | |
| raise EnvironmentError( | |
| OSError: Error no file named pytorch_model.bin, model.safetensors, tf_model.h5, model.ckpt.index or flax_model.msgpack found in directory F:\SD-Zluda\ComfyUI\models\clip\clip-vit-large-patch14. | |
| 2025-02-23T13:40:45.735794 - Prompt executed in 0.01 seconds | |
| 2025-02-23T13:40:48.405655 - FETCH ComfyRegistry Data: 25/342025-02-23T13:40:48.406816 - | |
| 2025-02-23T13:40:52.658815 - FETCH ComfyRegistry Data: 30/342025-02-23T13:40:52.658815 - | |
| 2025-02-23T13:40:56.201619 - FETCH ComfyRegistry Data [DONE]2025-02-23T13:40:56.201619 - | |
| 2025-02-23T13:40:56.230737 - [ComfyUI-Manager] default cache updated: https://api.comfy.org/nodes | |
| 2025-02-23T13:40:56.264355 - nightly_channel: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/remote | |
| 2025-02-23T13:40:56.264355 - FETCH DATA from: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/custom-node-list.json2025-02-23T13:40:56.264355 - 2025-02-23T13:40:56.344458 - [DONE]2025-02-23T13:40:56.344458 - | |
| 2025-02-23T13:40:56.377116 - [ComfyUI-Manager] All startup tasks have been completed. | |
| 2025-02-23T14:44:21.323115 - got prompt | |
| 2025-02-23T14:44:21.340497 - Loading text encoder model (clipL) from: F:\SD-Zluda\ComfyUI\models\clip\clip-vit-large-patch14 | |
| 2025-02-23T14:44:21.341497 - !!! Exception during processing !!! Error no file named pytorch_model.bin, model.safetensors, tf_model.h5, model.ckpt.index or flax_model.msgpack found in directory F:\SD-Zluda\ComfyUI\models\clip\clip-vit-large-patch14. | |
| 2025-02-23T14:44:21.342497 - Traceback (most recent call last): | |
| File "F:\SD-Zluda\ComfyUI\execution.py", line 327, in execute | |
| output_data, output_ui, has_subgraph = get_output_data(obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb) | |
| File "F:\SD-Zluda\ComfyUI\execution.py", line 202, in get_output_data | |
| return_values = _map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb) | |
| File "F:\SD-Zluda\ComfyUI\execution.py", line 174, in _map_node_over_list | |
| process_inputs(input_dict, i) | |
| File "F:\SD-Zluda\ComfyUI\execution.py", line 163, in process_inputs | |
| results.append(getattr(obj, func)(**inputs)) | |
| File "F:\SD-Zluda\ComfyUI\custom_nodes\comfyui-hunyuanvideowrapper\nodes.py", line 683, in loadmodel | |
| text_encoder_2 = TextEncoder( | |
| File "F:\SD-Zluda\ComfyUI\custom_nodes\comfyui-hunyuanvideowrapper\hyvideo\text_encoder\__init__.py", line 167, in __init__ | |
| self.model, self.model_path = load_text_encoder( | |
| File "F:\SD-Zluda\ComfyUI\custom_nodes\comfyui-hunyuanvideowrapper\hyvideo\text_encoder\__init__.py", line 36, in load_text_encoder | |
| text_encoder = CLIPTextModel.from_pretrained(text_encoder_path) | |
| File "F:\SD-Zluda\ComfyUI\venv\lib\site-packages\transformers\modeling_utils.py", line 262, in _wrapper | |
| return func(*args, **kwargs) | |
| File "F:\SD-Zluda\ComfyUI\venv\lib\site-packages\transformers\modeling_utils.py", line 3808, in from_pretrained | |
| raise EnvironmentError( | |
| OSError: Error no file named pytorch_model.bin, model.safetensors, tf_model.h5, model.ckpt.index or flax_model.msgpack found in directory F:\SD-Zluda\ComfyUI\models\clip\clip-vit-large-patch14. | |
| 2025-02-23T14:44:21.343497 - Prompt executed in 0.01 seconds | |
| 2025-02-23T15:47:09.390916 - got prompt | |
| 2025-02-23T15:47:09.406540 - Loading text encoder model (clipL) from: F:\SD-Zluda\ComfyUI\models\clip\clip-vit-large-patch14 | |
| 2025-02-23T15:47:09.563107 - Text encoder to dtype: torch.float16 | |
| 2025-02-23T15:47:09.578732 - Loading tokenizer (clipL) from: F:\SD-Zluda\ComfyUI\models\clip\clip-vit-large-patch14 | |
| 2025-02-23T15:47:09.641618 - Downloading model to: F:\SD-Zluda\ComfyUI\models\LLM\llava-llama-3-8b-v1_1-transformers | |
| 2025-02-23T15:47:09.892432 - F:\SD-Zluda\ComfyUI\venv\lib\site-packages\huggingface_hub\file_download.py:834: UserWarning: `local_dir_use_symlinks` parameter is deprecated and will be ignored. The process to download files to a local folder has been updated and do not rely on symlinks anymore. You only need to pass a destination folder as`local_dir`. | |
| For more details, check out https://huggingface.co/docs/huggingface_hub/main/en/guides/download#download-files-to-local-folder. | |
| warnings.warn( | |
| 2025-02-23T16:22:43.039097 - | |
| Fetching 13 files: 54%|█████████████████████████████████▉ | 7/13 [35:33<34:31, 345.25s/it]2025-02-23T16:22:43.040600 - | |
| Fetching 13 files: 100%|██████████████████████████████████████████████████████████████| 13/13 [35:33<00:00, 164.09s/it]2025-02-23T16:22:43.040600 - | |
| 2025-02-23T16:22:43.063603 - Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.48, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`. | |
| 2025-02-23T16:22:43.074915 - You are using the default legacy behaviour of the <class 'transformers.models.llama.tokenization_llama_fast.LlamaTokenizerFast'>. This is expected, and simply means that the `legacy` (previous) behavior will be used so nothing changes for you. If you want to use the new behaviour, set `legacy=False`. This should only be set if you understand what it means, and thoroughly read the reason why this was added as explained in https://github.com/huggingface/transformers/pull/24565 - if you loaded a llama tokenizer from a GGUF file you can ignore this message. | |
| 2025-02-23T16:22:43.782711 - Loading text encoder model (vlm) from: F:\SD-Zluda\ComfyUI\models\LLM\llava-llama-3-8b-v1_1-transformers | |
| 2025-02-23T16:22:52.806637 - | |
| Loading checkpoint shards: 100%|█████████████████████████████████████████████████████| 4/4 [00:08<00:00, 2.05s/it]2025-02-23T16:22:52.806637 - | |
| Loading checkpoint shards: 100%|█████████████████████████████████████████████████████| 4/4 [00:08<00:00, 2.13s/it]2025-02-23T16:22:52.806637 - | |
| 2025-02-23T16:23:00.080460 - Text encoder to dtype: torch.bfloat16 | |
| 2025-02-23T16:23:00.084691 - Loading tokenizer (vlm) from: F:\SD-Zluda\ComfyUI\models\LLM\llava-llama-3-8b-v1_1-transformers | |
| 2025-02-23T16:23:03.273682 - Unused or unrecognized kwargs: device. | |
| 2025-02-23T16:23:03.273682 - !!! Exception during processing !!! list index out of range | |
| 2025-02-23T16:23:03.283720 - Traceback (most recent call last): | |
| File "F:\SD-Zluda\ComfyUI\execution.py", line 327, in execute | |
| output_data, output_ui, has_subgraph = get_output_data(obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb) | |
| File "F:\SD-Zluda\ComfyUI\execution.py", line 202, in get_output_data | |
| return_values = _map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb) | |
| File "F:\SD-Zluda\ComfyUI\execution.py", line 174, in _map_node_over_list | |
| process_inputs(input_dict, i) | |
| File "F:\SD-Zluda\ComfyUI\execution.py", line 163, in process_inputs | |
| results.append(getattr(obj, func)(**inputs)) | |
| File "F:\SD-Zluda\ComfyUI\custom_nodes\comfyui-hunyuanvideowrapper\nodes.py", line 905, in process | |
| prompt_embeds, negative_prompt_embeds, attention_mask, negative_attention_mask = encode_prompt(self, | |
| File "F:\SD-Zluda\ComfyUI\custom_nodes\comfyui-hunyuanvideowrapper\nodes.py", line 830, in encode_prompt | |
| text_inputs = text_encoder.text2tokens(prompt, | |
| File "F:\SD-Zluda\ComfyUI\custom_nodes\comfyui-hunyuanvideowrapper\hyvideo\text_encoder\__init__.py", line 253, in text2tokens | |
| text_tokens = self.processor( | |
| File "F:\SD-Zluda\ComfyUI\venv\lib\site-packages\transformers\models\llava\processing_llava.py", line 145, in __call__ | |
| image_inputs = self.image_processor(images, **output_kwargs["images_kwargs"]) | |
| File "F:\SD-Zluda\ComfyUI\venv\lib\site-packages\transformers\image_processing_utils.py", line 42, in __call__ | |
| return self.preprocess(images, **kwargs) | |
| File "F:\SD-Zluda\ComfyUI\venv\lib\site-packages\transformers\models\clip\image_processing_clip.py", line 312, in preprocess | |
| if do_rescale and is_scaled_image(images[0]): | |
| IndexError: list index out of range | |
| 2025-02-23T16:23:03.284851 - Prompt executed in 2153.88 seconds | |
| ``` | |
| ## Attached Workflow | |
| Please make sure that workflow does not contain any sensitive information such as API keys or passwords. | |
| ``` | |
| {"last_node_id":100,"last_link_id":136,"nodes":[{"id":58,"type":"HyVideoCFG","pos":[-1280,1410],"size":[437.5832824707031,201.83335876464844],"flags":{},"order":0,"mode":0,"inputs":[],"outputs":[{"name":"hyvid_cfg","type":"HYVID_CFG","links":[130],"slot_index":0}],"properties":{"cnr_id":"comfyui-hunyuanvideowrapper","ver":"5cbc584b68caef787ce3cdf5da565e8bcc3af3f1","Node name for S&R":"HyVideoCFG"},"widgets_values":["camera movement, jump cut, scene cut, transition, fading, morphing",6,0,0.5,false]},{"id":57,"type":"HyVideoTorchCompileSettings","pos":[-1854.767822265625,-527.714111328125],"size":[441,274],"flags":{},"order":1,"mode":0,"inputs":[],"outputs":[{"name":"torch_compile_args","type":"COMPILEARGS","links":[105],"slot_index":0}],"properties":{"cnr_id":"comfyui-hunyuanvideowrapper","ver":"5cbc584b68caef787ce3cdf5da565e8bcc3af3f1","Node name for S&R":"HyVideoTorchCompileSettings"},"widgets_values":["inductor",false,"default",false,64,true,true,false,false,false]},{"id":88,"type":"HyVideoCustomPromptTemplate","pos":[-1290,800],"size":[453.78076171875,551.197265625],"flags":{},"order":2,"mode":0,"inputs":[],"outputs":[{"name":"hyvid_prompt_template","type":"PROMPT_TEMPLATE","links":[131],"slot_index":0}],"properties":{"cnr_id":"comfyui-hunyuanvideowrapper","ver":"5cbc584b68caef787ce3cdf5da565e8bcc3af3f1","Node name for S&R":"HyVideoCustomPromptTemplate"},"widgets_values":["<|start_header_id|>system<|end_header_id|>\n\nYou are a professional Content Analyst. As a specialist Scene Annotator, you tag and describe scenes in detail, paying special attention to the temporal coherence and sequence of events in the scene.\n\n# INSTRUCTIONS\n\nYou will receive two inputs:\n\n1. The first frame of a video;\n2. A short description of the scene.\n\nYour job is to write a comprehensive description of the scene based on the inputs.\n\n# IMPORTANT INFORMATION \n\nThe scene is only 4s (four seconds long).\nThe scene has 98 frames in total at 24 frames per second (24 fps).\n\n# GUIDELINES\n\n- Write a detailed description based on the inputs.\n- Use your expertise to adapt the scene description so that it is consistent and coherent.\n- Ensure the actions and events described can fit reasonably in a 4 second clip.\n- Be concise and avoid abstract qualifiers, focus on concrete aspects of the scene, in particular the main subject, the motion, actions and events.\n- Use the input image, which is the fisrt frame of the video, to infer the visual qualities, mood and tone of the overall scene.\n- Always consider the appropriate sequence of events for the scene so it fits the four seconds legth of the clip.\n\n# DELIVERABLES\n\nYou will deliver a concise and detailed description of the scene that is consistent with the inputs you receive, and temporally coherent given the length of the scene. You should output something like this:\n\nDETAILED DESCRIPTION OF THE VIDEO SCENE IN APPROPRIATE TEMPORAL SEQUENCE. OVERALL MOOD OF THE SCENE BASED ON THE FIRST FRAME. 3 TO 5 TAGS THAT REPRESENT THE SCENE GENRE/STYLE/CATEGORY.\n\n\nWrite the scene description: \n\n<|eot_id|><|start_header_id|>user<|end_header_id|>\n\n{}<|eot_id|>",95]},{"id":45,"type":"ImageResizeKJ","pos":[-1220,140],"size":[315,266],"flags":{},"order":11,"mode":0,"inputs":[{"name":"image","type":"IMAGE","link":123},{"name":"get_image_size","type":"IMAGE","link":null,"shape":7},{"name":"width_input","type":"INT","link":null,"shape":7,"widget":{"name":"width_input"}},{"name":"height_input","type":"INT","link":null,"shape":7,"widget":{"name":"height_input"}}],"outputs":[{"name":"IMAGE","type":"IMAGE","links":[119,120,121],"slot_index":0},{"name":"width","type":"INT","links":[69],"slot_index":1},{"name":"height","type":"INT","links":[70],"slot_index":2}],"properties":{"cnr_id":"comfyui-kjnodes","ver":"f3d931a630e01821fc1375c9aa24401ab2852347","Node name for S&R":"ImageResizeKJ"},"widgets_values":[544,960,"lanczos",false,2,0,0,"center"]},{"id":30,"type":"HyVideoTextEncode","pos":[-750,510],"size":[313.6783752441406,440.2134704589844],"flags":{},"order":12,"mode":0,"inputs":[{"name":"text_encoders","type":"HYVIDTEXTENCODER","link":35},{"name":"custom_prompt_template","type":"PROMPT_TEMPLATE","link":131,"shape":7},{"name":"clip_l","type":"CLIP","link":null,"shape":7},{"name":"hyvid_cfg","type":"HYVID_CFG","link":130,"shape":7}],"outputs":[{"name":"hyvid_embeds","type":"HYVIDEMBEDS","links":[74],"slot_index":0}],"properties":{"cnr_id":"comfyui-hunyuanvideowrapper","ver":"5cbc584b68caef787ce3cdf5da565e8bcc3af3f1","Node name for S&R":"HyVideoTextEncode"},"widgets_values":["Cinematic scene shows a woman getting up and walking away.The background remains consistent throughout the scene. ","bad quality video","video"]},{"id":43,"type":"HyVideoEncode","pos":[-762.68408203125,-89.60575866699219],"size":[315,198],"flags":{},"order":13,"mode":0,"inputs":[{"name":"vae","type":"VAE","link":135},{"name":"image","type":"IMAGE","link":119}],"outputs":[{"name":"samples","type":"LATENT","links":[75],"slot_index":0}],"properties":{"cnr_id":"comfyui-hunyuanvideowrapper","ver":"5cbc584b68caef787ce3cdf5da565e8bcc3af3f1","Node name for S&R":"HyVideoEncode"},"widgets_values":[false,64,256,true,0.04,1]},{"id":52,"type":"ImageConcatMulti","pos":[1265.74609375,-380.3453063964844],"size":[210,150],"flags":{},"order":17,"mode":0,"inputs":[{"name":"image_1","type":"IMAGE","link":120},{"name":"image_2","type":"IMAGE","link":85}],"outputs":[{"name":"images","type":"IMAGE","links":[73],"slot_index":0}],"properties":{"cnr_id":"comfyui-kjnodes","ver":"f3d931a630e01821fc1375c9aa24401ab2852347"},"widgets_values":[2,"right",false,null]},{"id":34,"type":"VHS_VideoCombine","pos":[1526.9112548828125,-380.55364990234375],"size":[215.375,334],"flags":{},"order":19,"mode":0,"inputs":[{"name":"images","type":"IMAGE","link":73},{"name":"audio","type":"AUDIO","link":null,"shape":7},{"name":"meta_batch","type":"VHS_BatchManager","link":null,"shape":7},{"name":"vae","type":"VAE","link":null,"shape":7}],"outputs":[{"name":"Filenames","type":"VHS_FILENAMES","links":null}],"properties":{"cnr_id":"comfyui-videohelpersuite","ver":"124c913ccdd8a585734ea758c35fa1bab8499c99","Node name for S&R":"VHS_VideoCombine"},"widgets_values":{"frame_rate":24,"loop_count":0,"filename_prefix":"HunyuanVideo_skyreel_I2V","format":"video/h264-mp4","pix_fmt":"yuv420p","crf":19,"save_metadata":true,"trim_to_audio":false,"pingpong":false,"save_output":true,"videopreview":{"hidden":false,"paused":false,"params":{"filename":"HunyuanVideo_skyreel_I2V_00047.mp4","subfolder":"","type":"output","format":"video/h264-mp4","frame_rate":24,"workflow":"HunyuanVideo_skyreel_I2V_00047.png","fullpath":"/home/linux/AI/ComfyUI/output/HunyuanVideo_skyreel_I2V_00047.mp4"},"muted":false}}},{"id":60,"type":"ColorMatch","pos":[893.6535034179688,-226.94412231445312],"size":[315,102],"flags":{},"order":16,"mode":0,"inputs":[{"name":"image_ref","type":"IMAGE","link":121},{"name":"image_target","type":"IMAGE","link":83}],"outputs":[{"name":"image","type":"IMAGE","links":[85,117],"slot_index":0}],"properties":{"cnr_id":"comfyui-kjnodes","ver":"f3d931a630e01821fc1375c9aa24401ab2852347","Node name for S&R":"ColorMatch"},"widgets_values":["mkl",1]},{"id":64,"type":"HyVideoEnhanceAVideo","pos":[-802.6838989257812,246.1566162109375],"size":[352.79998779296875,154],"flags":{},"order":3,"mode":0,"inputs":[],"outputs":[{"name":"feta_args","type":"FETAARGS","links":[91]}],"properties":{"cnr_id":"comfyui-hunyuanvideowrapper","ver":"5cbc584b68caef787ce3cdf5da565e8bcc3af3f1","Node name for S&R":"HyVideoEnhanceAVideo"},"widgets_values":[4,true,true,0,1]},{"id":59,"type":"HyVideoBlockSwap","pos":[-1742.82958984375,-190.67405700683594],"size":[315,130],"flags":{},"order":4,"mode":0,"inputs":[],"outputs":[{"name":"block_swap_args","type":"BLOCKSWAPARGS","links":[108],"slot_index":0}],"properties":{"cnr_id":"comfyui-hunyuanvideowrapper","ver":"5cbc584b68caef787ce3cdf5da565e8bcc3af3f1","Node name for S&R":"HyVideoBlockSwap"},"widgets_values":[20,10,false,false]},{"id":78,"type":"VHS_VideoCombine","pos":[1528.812744140625,23.629047393798828],"size":[215.375,334],"flags":{},"order":18,"mode":0,"inputs":[{"name":"images","type":"IMAGE","link":117},{"name":"audio","type":"AUDIO","link":null,"shape":7},{"name":"meta_batch","type":"VHS_BatchManager","link":null,"shape":7},{"name":"vae","type":"VAE","link":null,"shape":7}],"outputs":[{"name":"Filenames","type":"VHS_FILENAMES","links":null}],"properties":{"cnr_id":"comfyui-videohelpersuite","ver":"124c913ccdd8a585734ea758c35fa1bab8499c99","Node name for 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| |
| ``` | |
| ## Additional Context | |
| (Please add any additional context or steps to reproduce the error here) | |
| If you get a security warning you have to go into ComfyUI\user\default\ComfyUI-Manager and there edit the config.ini. | |
| Change the Security Level to Weak, then save and try install numpy again. | |
| After that set the Security Level back to normal. | |
| _____________________________________________________________________________________________________________________________________________ | |
| YAY! now I generate SD1.5 images. | |
| # ComfyUI Error Report | |
| ## Error Details | |
| - **Node ID:** 99 | |
| - **Node Type:** HyVideoVAELoader | |
| - **Exception Type:** RuntimeError | |
| - **Exception Message:** Error(s) in loading state_dict for AutoencoderKLCausal3D: | |
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| Unexpected key(s) in state_dict: "encoder.down.0.block.0.conv1.conv.bias", "encoder.down.0.block.0.conv1.conv.weight", "encoder.down.0.block.0.conv2.conv.bias", "encoder.down.0.block.0.conv2.conv.weight", "encoder.down.0.block.0.norm1.bias", "encoder.down.0.block.0.norm1.weight", "encoder.down.0.block.0.norm2.bias", "encoder.down.0.block.0.norm2.weight", "encoder.down.0.block.1.conv1.conv.bias", "encoder.down.0.block.1.conv1.conv.weight", "encoder.down.0.block.1.conv2.conv.bias", "encoder.down.0.block.1.conv2.conv.weight", "encoder.down.0.block.1.norm1.bias", "encoder.down.0.block.1.norm1.weight", "encoder.down.0.block.1.norm2.bias", "encoder.down.0.block.1.norm2.weight", "encoder.down.0.downsample.conv.conv.bias", "encoder.down.0.downsample.conv.conv.weight", "encoder.down.1.block.0.conv1.conv.bias", "encoder.down.1.block.0.conv1.conv.weight", "encoder.down.1.block.0.conv2.conv.bias", "encoder.down.1.block.0.conv2.conv.weight", "encoder.down.1.block.0.nin_shortcut.conv.bias", "encoder.down.1.block.0.nin_shortcut.conv.weight", "encoder.down.1.block.0.norm1.bias", "encoder.down.1.block.0.norm1.weight", "encoder.down.1.block.0.norm2.bias", "encoder.down.1.block.0.norm2.weight", "encoder.down.1.block.1.conv1.conv.bias", "encoder.down.1.block.1.conv1.conv.weight", "encoder.down.1.block.1.conv2.conv.bias", "encoder.down.1.block.1.conv2.conv.weight", "encoder.down.1.block.1.norm1.bias", "encoder.down.1.block.1.norm1.weight", "encoder.down.1.block.1.norm2.bias", "encoder.down.1.block.1.norm2.weight", "encoder.down.1.downsample.conv.conv.bias", "encoder.down.1.downsample.conv.conv.weight", "encoder.down.2.block.0.conv1.conv.bias", "encoder.down.2.block.0.conv1.conv.weight", "encoder.down.2.block.0.conv2.conv.bias", "encoder.down.2.block.0.conv2.conv.weight", "encoder.down.2.block.0.nin_shortcut.conv.bias", "encoder.down.2.block.0.nin_shortcut.conv.weight", "encoder.down.2.block.0.norm1.bias", "encoder.down.2.block.0.norm1.weight", "encoder.down.2.block.0.norm2.bias", "encoder.down.2.block.0.norm2.weight", "encoder.down.2.block.1.conv1.conv.bias", "encoder.down.2.block.1.conv1.conv.weight", "encoder.down.2.block.1.conv2.conv.bias", "encoder.down.2.block.1.conv2.conv.weight", "encoder.down.2.block.1.norm1.bias", "encoder.down.2.block.1.norm1.weight", "encoder.down.2.block.1.norm2.bias", "encoder.down.2.block.1.norm2.weight", "encoder.down.2.downsample.conv.conv.bias", "encoder.down.2.downsample.conv.conv.weight", "encoder.down.3.block.0.conv1.conv.bias", "encoder.down.3.block.0.conv1.conv.weight", "encoder.down.3.block.0.conv2.conv.bias", "encoder.down.3.block.0.conv2.conv.weight", "encoder.down.3.block.0.norm1.bias", "encoder.down.3.block.0.norm1.weight", "encoder.down.3.block.0.norm2.bias", "encoder.down.3.block.0.norm2.weight", "encoder.down.3.block.1.conv1.conv.bias", "encoder.down.3.block.1.conv1.conv.weight", "encoder.down.3.block.1.conv2.conv.bias", "encoder.down.3.block.1.conv2.conv.weight", "encoder.down.3.block.1.norm1.bias", "encoder.down.3.block.1.norm1.weight", "encoder.down.3.block.1.norm2.bias", "encoder.down.3.block.1.norm2.weight", "encoder.mid.attn_1.k.bias", "encoder.mid.attn_1.k.weight", "encoder.mid.attn_1.norm.bias", "encoder.mid.attn_1.norm.weight", "encoder.mid.attn_1.proj_out.bias", "encoder.mid.attn_1.proj_out.weight", "encoder.mid.attn_1.q.bias", "encoder.mid.attn_1.q.weight", "encoder.mid.attn_1.v.bias", "encoder.mid.attn_1.v.weight", "encoder.mid.block_1.conv1.conv.bias", "encoder.mid.block_1.conv1.conv.weight", "encoder.mid.block_1.conv2.conv.bias", "encoder.mid.block_1.conv2.conv.weight", "encoder.mid.block_1.norm1.bias", "encoder.mid.block_1.norm1.weight", "encoder.mid.block_1.norm2.bias", "encoder.mid.block_1.norm2.weight", "encoder.mid.block_2.conv1.conv.bias", "encoder.mid.block_2.conv1.conv.weight", "encoder.mid.block_2.conv2.conv.bias", "encoder.mid.block_2.conv2.conv.weight", "encoder.mid.block_2.norm1.bias", "encoder.mid.block_2.norm1.weight", "encoder.mid.block_2.norm2.bias", "encoder.mid.block_2.norm2.weight", "encoder.norm_out.bias", "encoder.norm_out.weight", "decoder.mid.attn_1.k.bias", "decoder.mid.attn_1.k.weight", "decoder.mid.attn_1.norm.bias", "decoder.mid.attn_1.norm.weight", "decoder.mid.attn_1.proj_out.bias", "decoder.mid.attn_1.proj_out.weight", "decoder.mid.attn_1.q.bias", "decoder.mid.attn_1.q.weight", "decoder.mid.attn_1.v.bias", "decoder.mid.attn_1.v.weight", "decoder.mid.block_1.conv1.conv.bias", "decoder.mid.block_1.conv1.conv.weight", "decoder.mid.block_1.conv2.conv.bias", "decoder.mid.block_1.conv2.conv.weight", "decoder.mid.block_1.norm1.bias", "decoder.mid.block_1.norm1.weight", "decoder.mid.block_1.norm2.bias", "decoder.mid.block_1.norm2.weight", "decoder.mid.block_2.conv1.conv.bias", "decoder.mid.block_2.conv1.conv.weight", "decoder.mid.block_2.conv2.conv.bias", "decoder.mid.block_2.conv2.conv.weight", "decoder.mid.block_2.norm1.bias", "decoder.mid.block_2.norm1.weight", "decoder.mid.block_2.norm2.bias", "decoder.mid.block_2.norm2.weight", "decoder.norm_out.bias", "decoder.norm_out.weight", "decoder.up.0.block.0.conv1.conv.bias", "decoder.up.0.block.0.conv1.conv.weight", "decoder.up.0.block.0.conv2.conv.bias", "decoder.up.0.block.0.conv2.conv.weight", "decoder.up.0.block.0.nin_shortcut.conv.bias", "decoder.up.0.block.0.nin_shortcut.conv.weight", "decoder.up.0.block.0.norm1.bias", "decoder.up.0.block.0.norm1.weight", "decoder.up.0.block.0.norm2.bias", "decoder.up.0.block.0.norm2.weight", "decoder.up.0.block.1.conv1.conv.bias", "decoder.up.0.block.1.conv1.conv.weight", "decoder.up.0.block.1.conv2.conv.bias", "decoder.up.0.block.1.conv2.conv.weight", "decoder.up.0.block.1.norm1.bias", "decoder.up.0.block.1.norm1.weight", "decoder.up.0.block.1.norm2.bias", "decoder.up.0.block.1.norm2.weight", "decoder.up.0.block.2.conv1.conv.bias", "decoder.up.0.block.2.conv1.conv.weight", "decoder.up.0.block.2.conv2.conv.bias", "decoder.up.0.block.2.conv2.conv.weight", "decoder.up.0.block.2.norm1.bias", "decoder.up.0.block.2.norm1.weight", "decoder.up.0.block.2.norm2.bias", "decoder.up.0.block.2.norm2.weight", "decoder.up.1.block.0.conv1.conv.bias", "decoder.up.1.block.0.conv1.conv.weight", "decoder.up.1.block.0.conv2.conv.bias", "decoder.up.1.block.0.conv2.conv.weight", "decoder.up.1.block.0.nin_shortcut.conv.bias", "decoder.up.1.block.0.nin_shortcut.conv.weight", "decoder.up.1.block.0.norm1.bias", "decoder.up.1.block.0.norm1.weight", "decoder.up.1.block.0.norm2.bias", "decoder.up.1.block.0.norm2.weight", "decoder.up.1.block.1.conv1.conv.bias", "decoder.up.1.block.1.conv1.conv.weight", "decoder.up.1.block.1.conv2.conv.bias", "decoder.up.1.block.1.conv2.conv.weight", "decoder.up.1.block.1.norm1.bias", "decoder.up.1.block.1.norm1.weight", "decoder.up.1.block.1.norm2.bias", "decoder.up.1.block.1.norm2.weight", "decoder.up.1.block.2.conv1.conv.bias", "decoder.up.1.block.2.conv1.conv.weight", "decoder.up.1.block.2.conv2.conv.bias", "decoder.up.1.block.2.conv2.conv.weight", "decoder.up.1.block.2.norm1.bias", "decoder.up.1.block.2.norm1.weight", "decoder.up.1.block.2.norm2.bias", "decoder.up.1.block.2.norm2.weight", "decoder.up.1.upsample.conv.conv.bias", "decoder.up.1.upsample.conv.conv.weight", "decoder.up.2.block.0.conv1.conv.bias", "decoder.up.2.block.0.conv1.conv.weight", "decoder.up.2.block.0.conv2.conv.bias", "decoder.up.2.block.0.conv2.conv.weight", "decoder.up.2.block.0.norm1.bias", "decoder.up.2.block.0.norm1.weight", "decoder.up.2.block.0.norm2.bias", "decoder.up.2.block.0.norm2.weight", "decoder.up.2.block.1.conv1.conv.bias", "decoder.up.2.block.1.conv1.conv.weight", "decoder.up.2.block.1.conv2.conv.bias", "decoder.up.2.block.1.conv2.conv.weight", "decoder.up.2.block.1.norm1.bias", "decoder.up.2.block.1.norm1.weight", "decoder.up.2.block.1.norm2.bias", "decoder.up.2.block.1.norm2.weight", "decoder.up.2.block.2.conv1.conv.bias", "decoder.up.2.block.2.conv1.conv.weight", "decoder.up.2.block.2.conv2.conv.bias", "decoder.up.2.block.2.conv2.conv.weight", "decoder.up.2.block.2.norm1.bias", "decoder.up.2.block.2.norm1.weight", "decoder.up.2.block.2.norm2.bias", "decoder.up.2.block.2.norm2.weight", "decoder.up.2.upsample.conv.conv.bias", "decoder.up.2.upsample.conv.conv.weight", "decoder.up.3.block.0.conv1.conv.bias", "decoder.up.3.block.0.conv1.conv.weight", "decoder.up.3.block.0.conv2.conv.bias", "decoder.up.3.block.0.conv2.conv.weight", "decoder.up.3.block.0.norm1.bias", "decoder.up.3.block.0.norm1.weight", "decoder.up.3.block.0.norm2.bias", "decoder.up.3.block.0.norm2.weight", "decoder.up.3.block.1.conv1.conv.bias", "decoder.up.3.block.1.conv1.conv.weight", "decoder.up.3.block.1.conv2.conv.bias", "decoder.up.3.block.1.conv2.conv.weight", "decoder.up.3.block.1.norm1.bias", "decoder.up.3.block.1.norm1.weight", "decoder.up.3.block.1.norm2.bias", "decoder.up.3.block.1.norm2.weight", "decoder.up.3.block.2.conv1.conv.bias", "decoder.up.3.block.2.conv1.conv.weight", "decoder.up.3.block.2.conv2.conv.bias", "decoder.up.3.block.2.conv2.conv.weight", "decoder.up.3.block.2.norm1.bias", "decoder.up.3.block.2.norm1.weight", "decoder.up.3.block.2.norm2.bias", "decoder.up.3.block.2.norm2.weight", "decoder.up.3.upsample.conv.conv.bias", "decoder.up.3.upsample.conv.conv.weight". | |
| ## Stack Trace | |
| ``` | |
| File "F:\SD-Zluda\ComfyUI\execution.py", line 327, in execute | |
| output_data, output_ui, has_subgraph = get_output_data(obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb) | |
| File "F:\SD-Zluda\ComfyUI\execution.py", line 202, in get_output_data | |
| return_values = _map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb) | |
| File "F:\SD-Zluda\ComfyUI\execution.py", line 174, in _map_node_over_list | |
| process_inputs(input_dict, i) | |
| File "F:\SD-Zluda\ComfyUI\execution.py", line 163, in process_inputs | |
| results.append(getattr(obj, func)(**inputs)) | |
| File "F:\SD-Zluda\ComfyUI\custom_nodes\comfyui-hunyuanvideowrapper\nodes.py", line 564, in loadmodel | |
| vae.load_state_dict(vae_sd) | |
| File "F:\SD-Zluda\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 2189, in load_state_dict | |
| raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format( | |
| ``` | |
| ## System Information | |
| - **ComfyUI Version:** 0.3.14 | |
| - **Arguments:** main.py --auto-launch --disable-xformers --use-quad-cross-attention --reserve-vram 0.8 | |
| - **OS:** nt | |
| - **Python Version:** 3.10.11 (tags/v3.10.11:7d4cc5a, Apr 5 2023, 00:38:17) [MSC v.1929 64 bit (AMD64)] | |
| - **Embedded Python:** false | |
| - **PyTorch Version:** 2.3.1+cu118 | |
| ## Devices | |
| - **Name:** cuda:0 AMD Radeon RX 7900 XTX [ZLUDA] : native | |
| - **Type:** cuda | |
| - **VRAM Total:** 25753026560 | |
| - **VRAM Free:** 25596952576 | |
| - **Torch VRAM Total:** 0 | |
| - **Torch VRAM Free:** 0 | |
| ## Logs | |
| ``` | |
| 2025-02-23T13:00:50.504787 - [START] Security scan2025-02-23T13:00:50.504787 - | |
| 2025-02-23T13:00:51.012604 - [DONE] Security scan2025-02-23T13:00:51.012604 - | |
| 2025-02-23T13:00:51.094867 - ## ComfyUI-Manager: installing dependencies done.2025-02-23T13:00:51.094867 - | |
| 2025-02-23T13:00:51.094867 - ** ComfyUI startup time:2025-02-23T13:00:51.094867 - 2025-02-23T13:00:51.094867 - 2025-02-23 13:00:51.0942025-02-23T13:00:51.094867 - | |
| 2025-02-23T13:00:51.094867 - ** Platform:2025-02-23T13:00:51.094867 - 2025-02-23T13:00:51.094867 - Windows2025-02-23T13:00:51.094867 - | |
| 2025-02-23T13:00:51.094867 - ** Python version:2025-02-23T13:00:51.094867 - 2025-02-23T13:00:51.094867 - 3.10.11 (tags/v3.10.11:7d4cc5a, Apr 5 2023, 00:38:17) [MSC v.1929 64 bit (AMD64)]2025-02-23T13:00:51.095952 - | |
| 2025-02-23T13:00:51.095952 - ** Python executable:2025-02-23T13:00:51.095952 - 2025-02-23T13:00:51.095952 - F:\SD-Zluda\ComfyUI\venv\Scripts\python.exe2025-02-23T13:00:51.095952 - | |
| 2025-02-23T13:00:51.095952 - ** ComfyUI Path:2025-02-23T13:00:51.095952 - 2025-02-23T13:00:51.095952 - F:\SD-Zluda\ComfyUI2025-02-23T13:00:51.095952 - | |
| 2025-02-23T13:00:51.095952 - ** ComfyUI Base Folder Path:2025-02-23T13:00:51.095952 - 2025-02-23T13:00:51.095952 - F:\SD-Zluda\ComfyUI2025-02-23T13:00:51.095952 - | |
| 2025-02-23T13:00:51.095952 - ** User directory:2025-02-23T13:00:51.095952 - 2025-02-23T13:00:51.095952 - F:\SD-Zluda\ComfyUI\user2025-02-23T13:00:51.095952 - | |
| 2025-02-23T13:00:51.095952 - ** ComfyUI-Manager config path:2025-02-23T13:00:51.095952 - 2025-02-23T13:00:51.095952 - F:\SD-Zluda\ComfyUI\user\default\ComfyUI-Manager\config.ini2025-02-23T13:00:51.095952 - | |
| 2025-02-23T13:00:51.097012 - ** Log path:2025-02-23T13:00:51.097012 - 2025-02-23T13:00:51.097012 - F:\SD-Zluda\ComfyUI\user\comfyui.log2025-02-23T13:00:51.097012 - | |
| 2025-02-23T13:00:51.634937 - | |
| Prestartup times for custom nodes: | |
| 2025-02-23T13:00:51.634937 - 1.4 seconds: F:\SD-Zluda\ComfyUI\custom_nodes\ComfyUI-Manager | |
| 2025-02-23T13:00:51.634937 - | |
| 2025-02-23T13:00:52.615081 - Warning, you are using an old pytorch version and some ckpt/pt files might be loaded unsafely. Upgrading to 2.4 or above is recommended. | |
| 2025-02-23T13:00:52.969547 - Total VRAM 24560 MB, total RAM 65367 MB | |
| 2025-02-23T13:00:52.969547 - pytorch version: 2.3.1+cu118 | |
| 2025-02-23T13:00:52.969547 - Set vram state to: NORMAL_VRAM | |
| 2025-02-23T13:00:52.974050 - [36mDetected ZLUDA, support for it is experimental and comfy may not work properly.[0m | |
| 2025-02-23T13:00:52.974050 - [36mDisabling cuDNN because ZLUDA does currently not support it.[0m | |
| 2025-02-23T13:00:52.974050 - Device: cuda:0 AMD Radeon RX 7900 XTX [ZLUDA] : native. | |
| 2025-02-23T13:00:53.605000 - Using sub quadratic optimization for attention, if you have memory or speed issues try using: --use-split-cross-attention | |
| 2025-02-23T13:00:54.384994 - ComfyUI version: 0.3.14 | |
| 2025-02-23T13:00:54.402218 - [Prompt Server] web root: F:\SD-Zluda\ComfyUI\web | |
| 2025-02-23T13:00:54.403721 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_latent to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:00:54.404780 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_hypernetwork to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:00:54.468103 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_upscale_model to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:00:54.468103 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_post_processing to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:00:54.469102 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_mask to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:00:54.470102 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_compositing to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:00:54.471102 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_rebatch to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:00:54.471102 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_model_merging to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:00:54.472102 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_tomesd to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:00:54.472102 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_clip_sdxl to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:00:54.699838 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_canny to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:00:54.699838 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_freelunch to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:00:54.699838 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_custom_sampler to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:00:54.699838 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_hypertile to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:00:54.699838 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_model_advanced to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:00:54.703838 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_model_downscale to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:00:54.703838 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_images to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:00:54.705071 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_video_model to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:00:54.705071 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_sag to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:00:54.705071 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_perpneg to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:00:54.705071 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_stable3d to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:00:54.708080 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_sdupscale to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:00:54.708080 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_photomaker to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:00:54.708080 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_pixart to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:00:54.708080 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_cond to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:00:54.708080 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_morphology to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:00:54.708080 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_stable_cascade to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:00:54.708080 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_differential_diffusion to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:00:54.712084 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_ip2p to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:00:54.712084 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_model_merging_model_specific to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:00:54.712084 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_pag to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:00:54.712084 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_align_your_steps to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:00:54.714596 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_attention_multiply to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:00:54.714596 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_advanced_samplers to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:00:54.715691 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_webcam to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:00:54.759787 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_audio to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:00:54.763837 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_sd3 to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:00:54.764847 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_gits to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:00:54.764847 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_controlnet to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:00:54.764847 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_hunyuan to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:00:54.764847 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_flux to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:00:54.767856 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_lora_extract to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:00:54.767856 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_torch_compile to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:00:54.767856 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_mochi to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:00:54.767856 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_slg to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:00:54.767856 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_mahiro to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:00:54.767856 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_lt to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:00:54.771860 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_hooks to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:00:54.771860 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_load_3d to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:00:54.771860 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\comfy_extras\nodes_cosmos to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:00:54.775881 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node comfy-image-saver to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:00:55.014808 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node comfyui-hunyuanvideowrapper to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:00:55.017898 - Total VRAM 24560 MB, total RAM 65367 MB | |
| 2025-02-23T13:00:55.017898 - pytorch version: 2.3.1+cu118 | |
| 2025-02-23T13:00:55.017898 - Set vram state to: NORMAL_VRAM | |
| 2025-02-23T13:00:55.017898 - [36mDetected ZLUDA, support for it is experimental and comfy may not work properly.[0m | |
| 2025-02-23T13:00:55.017898 - Device: cuda:0 AMD Radeon RX 7900 XTX [ZLUDA] : native. | |
| 2025-02-23T13:00:55.029927 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node comfyui-kjnodes to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:00:55.038000 - ### Loading: ComfyUI-Manager (V3.25.1) | |
| 2025-02-23T13:00:55.038121 - [ComfyUI-Manager] network_mode: public | |
| 2025-02-23T13:00:55.133907 - ### ComfyUI Revision: 3161 on 'nodes-cudnn-patch' [07833a5f] | Released on '2025-02-10' | |
| 2025-02-23T13:00:55.244820 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node ComfyUI-Manager to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:00:55.276289 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node comfyui-videohelpersuite to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:00:55.276289 - [32m[ZLUDA] Patched torch.backends.cudnn in custom node F:\SD-Zluda\ComfyUI\custom_nodes\websocket_image_save to prevent enabling cuDNN.[0m | |
| 2025-02-23T13:00:55.276289 - | |
| Import times for custom nodes: | |
| 2025-02-23T13:00:55.276289 - 0.0 seconds: F:\SD-Zluda\ComfyUI\custom_nodes\websocket_image_save.py | |
| 2025-02-23T13:00:55.276289 - 0.0 seconds: F:\SD-Zluda\ComfyUI\custom_nodes\comfy-image-saver | |
| 2025-02-23T13:00:55.276289 - 0.0 seconds: F:\SD-Zluda\ComfyUI\custom_nodes\comfyui-kjnodes | |
| 2025-02-23T13:00:55.276289 - 0.0 seconds: F:\SD-Zluda\ComfyUI\custom_nodes\comfyui-videohelpersuite | |
| 2025-02-23T13:00:55.276289 - 0.2 seconds: F:\SD-Zluda\ComfyUI\custom_nodes\ComfyUI-Manager | |
| 2025-02-23T13:00:55.276289 - 0.2 seconds: F:\SD-Zluda\ComfyUI\custom_nodes\comfyui-hunyuanvideowrapper | |
| 2025-02-23T13:00:55.276289 - | |
| 2025-02-23T13:00:55.284684 - Starting server | |
| 2025-02-23T13:00:55.284684 - To see the GUI go to: http://127.0.0.1:8188 | |
| 2025-02-23T13:00:55.373729 - [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/alter-list.json | |
| 2025-02-23T13:00:55.474778 - [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/github-stats.json | |
| 2025-02-23T13:00:55.518962 - [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/extension-node-map.json | |
| 2025-02-23T13:00:55.658088 - [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/model-list.json | |
| 2025-02-23T13:00:55.717389 - [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/custom-node-list.json | |
| 2025-02-23T13:01:00.044007 - FETCH ComfyRegistry Data: 5/342025-02-23T13:01:00.044007 - | |
| 2025-02-23T13:01:04.532121 - FETCH ComfyRegistry Data: 10/342025-02-23T13:01:04.532121 - | |
| 2025-02-23T13:01:08.680547 - FETCH ComfyRegistry Data: 15/342025-02-23T13:01:08.680547 - | |
| 2025-02-23T13:01:13.164064 - FETCH ComfyRegistry Data: 20/342025-02-23T13:01:13.164064 - | |
| 2025-02-23T13:01:13.676772 - got prompt | |
| 2025-02-23T13:01:13.727211 - Using split attention in VAE | |
| 2025-02-23T13:01:13.727211 - Using split attention in VAE | |
| 2025-02-23T13:01:13.982439 - VAE load device: cuda:0, offload device: cpu, dtype: torch.bfloat16 | |
| 2025-02-23T13:01:14.045756 - !!! Exception during processing !!! 'VAE' object has no attribute 'to' | |
| 2025-02-23T13:01:14.063676 - Traceback (most recent call last): | |
| File "F:\SD-Zluda\ComfyUI\execution.py", line 327, in execute | |
| output_data, output_ui, has_subgraph = get_output_data(obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb) | |
| File "F:\SD-Zluda\ComfyUI\execution.py", line 202, in get_output_data | |
| return_values = _map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb) | |
| File "F:\SD-Zluda\ComfyUI\execution.py", line 174, in _map_node_over_list | |
| process_inputs(input_dict, i) | |
| File "F:\SD-Zluda\ComfyUI\execution.py", line 163, in process_inputs | |
| results.append(getattr(obj, func)(**inputs)) | |
| File "F:\SD-Zluda\ComfyUI\custom_nodes\comfyui-hunyuanvideowrapper\nodes.py", line 1433, in encode | |
| vae.to(device) | |
| AttributeError: 'VAE' object has no attribute 'to' | |
| 2025-02-23T13:01:14.064684 - Prompt executed in 0.38 seconds | |
| 2025-02-23T13:01:18.797832 - FETCH ComfyRegistry Data: 25/342025-02-23T13:01:18.797832 - | |
| 2025-02-23T13:01:23.488526 - FETCH ComfyRegistry Data: 30/342025-02-23T13:01:23.488526 - | |
| 2025-02-23T13:01:27.373728 - FETCH ComfyRegistry Data [DONE]2025-02-23T13:01:27.373728 - | |
| 2025-02-23T13:01:27.407717 - [ComfyUI-Manager] default cache updated: https://api.comfy.org/nodes | |
| 2025-02-23T13:01:27.444713 - nightly_channel: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/remote | |
| 2025-02-23T13:01:27.444713 - FETCH DATA from: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/custom-node-list.json2025-02-23T13:01:27.444713 - 2025-02-23T13:01:27.721892 - [DONE]2025-02-23T13:01:27.721892 - | |
| 2025-02-23T13:01:27.754871 - [ComfyUI-Manager] All startup tasks have been completed. | |
| 2025-02-23T13:01:32.948919 - got prompt | |
| 2025-02-23T13:01:32.961127 - !!! Exception during processing !!! 'VAE' object has no attribute 'to' | |
| 2025-02-23T13:01:32.962127 - Traceback (most recent call last): | |
| File "F:\SD-Zluda\ComfyUI\execution.py", line 327, in execute | |
| output_data, output_ui, has_subgraph = get_output_data(obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb) | |
| File "F:\SD-Zluda\ComfyUI\execution.py", line 202, in get_output_data | |
| return_values = _map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb) | |
| File "F:\SD-Zluda\ComfyUI\execution.py", line 174, in _map_node_over_list | |
| process_inputs(input_dict, i) | |
| File "F:\SD-Zluda\ComfyUI\execution.py", line 163, in process_inputs | |
| results.append(getattr(obj, func)(**inputs)) | |
| File "F:\SD-Zluda\ComfyUI\custom_nodes\comfyui-hunyuanvideowrapper\nodes.py", line 1433, in encode | |
| vae.to(device) | |
| AttributeError: 'VAE' object has no attribute 'to' | |
| 2025-02-23T13:01:32.962127 - Prompt executed in 0.01 seconds | |
| 2025-02-23T13:03:06.905074 - got prompt | |
| 2025-02-23T13:03:07.675071 - !!! Exception during processing !!! Error(s) in loading state_dict for AutoencoderKLCausal3D: | |
| Missing key(s) in state_dict: "encoder.down_blocks.0.resnets.0.norm1.weight", "encoder.down_blocks.0.resnets.0.norm1.bias", "encoder.down_blocks.0.resnets.0.conv1.conv.weight", "encoder.down_blocks.0.resnets.0.conv1.conv.bias", "encoder.down_blocks.0.resnets.0.norm2.weight", "encoder.down_blocks.0.resnets.0.norm2.bias", "encoder.down_blocks.0.resnets.0.conv2.conv.weight", "encoder.down_blocks.0.resnets.0.conv2.conv.bias", "encoder.down_blocks.0.resnets.1.norm1.weight", "encoder.down_blocks.0.resnets.1.norm1.bias", "encoder.down_blocks.0.resnets.1.conv1.conv.weight", "encoder.down_blocks.0.resnets.1.conv1.conv.bias", "encoder.down_blocks.0.resnets.1.norm2.weight", "encoder.down_blocks.0.resnets.1.norm2.bias", "encoder.down_blocks.0.resnets.1.conv2.conv.weight", "encoder.down_blocks.0.resnets.1.conv2.conv.bias", "encoder.down_blocks.0.downsamplers.0.conv.conv.weight", "encoder.down_blocks.0.downsamplers.0.conv.conv.bias", "encoder.down_blocks.1.resnets.0.norm1.weight", "encoder.down_blocks.1.resnets.0.norm1.bias", "encoder.down_blocks.1.resnets.0.conv1.conv.weight", "encoder.down_blocks.1.resnets.0.conv1.conv.bias", "encoder.down_blocks.1.resnets.0.norm2.weight", "encoder.down_blocks.1.resnets.0.norm2.bias", "encoder.down_blocks.1.resnets.0.conv2.conv.weight", "encoder.down_blocks.1.resnets.0.conv2.conv.bias", "encoder.down_blocks.1.resnets.0.conv_shortcut.conv.weight", "encoder.down_blocks.1.resnets.0.conv_shortcut.conv.bias", "encoder.down_blocks.1.resnets.1.norm1.weight", "encoder.down_blocks.1.resnets.1.norm1.bias", "encoder.down_blocks.1.resnets.1.conv1.conv.weight", "encoder.down_blocks.1.resnets.1.conv1.conv.bias", "encoder.down_blocks.1.resnets.1.norm2.weight", "encoder.down_blocks.1.resnets.1.norm2.bias", "encoder.down_blocks.1.resnets.1.conv2.conv.weight", "encoder.down_blocks.1.resnets.1.conv2.conv.bias", "encoder.down_blocks.1.downsamplers.0.conv.conv.weight", "encoder.down_blocks.1.downsamplers.0.conv.conv.bias", "encoder.down_blocks.2.resnets.0.norm1.weight", "encoder.down_blocks.2.resnets.0.norm1.bias", "encoder.down_blocks.2.resnets.0.conv1.conv.weight", "encoder.down_blocks.2.resnets.0.conv1.conv.bias", "encoder.down_blocks.2.resnets.0.norm2.weight", "encoder.down_blocks.2.resnets.0.norm2.bias", "encoder.down_blocks.2.resnets.0.conv2.conv.weight", "encoder.down_blocks.2.resnets.0.conv2.conv.bias", "encoder.down_blocks.2.resnets.0.conv_shortcut.conv.weight", "encoder.down_blocks.2.resnets.0.conv_shortcut.conv.bias", "encoder.down_blocks.2.resnets.1.norm1.weight", "encoder.down_blocks.2.resnets.1.norm1.bias", "encoder.down_blocks.2.resnets.1.conv1.conv.weight", "encoder.down_blocks.2.resnets.1.conv1.conv.bias", "encoder.down_blocks.2.resnets.1.norm2.weight", "encoder.down_blocks.2.resnets.1.norm2.bias", "encoder.down_blocks.2.resnets.1.conv2.conv.weight", "encoder.down_blocks.2.resnets.1.conv2.conv.bias", "encoder.down_blocks.2.downsamplers.0.conv.conv.weight", "encoder.down_blocks.2.downsamplers.0.conv.conv.bias", "encoder.down_blocks.3.resnets.0.norm1.weight", "encoder.down_blocks.3.resnets.0.norm1.bias", "encoder.down_blocks.3.resnets.0.conv1.conv.weight", "encoder.down_blocks.3.resnets.0.conv1.conv.bias", "encoder.down_blocks.3.resnets.0.norm2.weight", "encoder.down_blocks.3.resnets.0.norm2.bias", "encoder.down_blocks.3.resnets.0.conv2.conv.weight", "encoder.down_blocks.3.resnets.0.conv2.conv.bias", "encoder.down_blocks.3.resnets.1.norm1.weight", "encoder.down_blocks.3.resnets.1.norm1.bias", "encoder.down_blocks.3.resnets.1.conv1.conv.weight", "encoder.down_blocks.3.resnets.1.conv1.conv.bias", "encoder.down_blocks.3.resnets.1.norm2.weight", "encoder.down_blocks.3.resnets.1.norm2.bias", "encoder.down_blocks.3.resnets.1.conv2.conv.weight", "encoder.down_blocks.3.resnets.1.conv2.conv.bias", "encoder.mid_block.attentions.0.group_norm.weight", "encoder.mid_block.attentions.0.group_norm.bias", "encoder.mid_block.attentions.0.to_q.weight", "encoder.mid_block.attentions.0.to_q.bias", "encoder.mid_block.attentions.0.to_k.weight", "encoder.mid_block.attentions.0.to_k.bias", "encoder.mid_block.attentions.0.to_v.weight", "encoder.mid_block.attentions.0.to_v.bias", "encoder.mid_block.attentions.0.to_out.0.weight", "encoder.mid_block.attentions.0.to_out.0.bias", "encoder.mid_block.resnets.0.norm1.weight", "encoder.mid_block.resnets.0.norm1.bias", "encoder.mid_block.resnets.0.conv1.conv.weight", "encoder.mid_block.resnets.0.conv1.conv.bias", "encoder.mid_block.resnets.0.norm2.weight", "encoder.mid_block.resnets.0.norm2.bias", "encoder.mid_block.resnets.0.conv2.conv.weight", "encoder.mid_block.resnets.0.conv2.conv.bias", "encoder.mid_block.resnets.1.norm1.weight", "encoder.mid_block.resnets.1.norm1.bias", "encoder.mid_block.resnets.1.conv1.conv.weight", "encoder.mid_block.resnets.1.conv1.conv.bias", "encoder.mid_block.resnets.1.norm2.weight", "encoder.mid_block.resnets.1.norm2.bias", "encoder.mid_block.resnets.1.conv2.conv.weight", "encoder.mid_block.resnets.1.conv2.conv.bias", "encoder.conv_norm_out.weight", "encoder.conv_norm_out.bias", "decoder.up_blocks.0.resnets.0.norm1.weight", "decoder.up_blocks.0.resnets.0.norm1.bias", "decoder.up_blocks.0.resnets.0.conv1.conv.weight", "decoder.up_blocks.0.resnets.0.conv1.conv.bias", "decoder.up_blocks.0.resnets.0.norm2.weight", "decoder.up_blocks.0.resnets.0.norm2.bias", "decoder.up_blocks.0.resnets.0.conv2.conv.weight", "decoder.up_blocks.0.resnets.0.conv2.conv.bias", "decoder.up_blocks.0.resnets.1.norm1.weight", "decoder.up_blocks.0.resnets.1.norm1.bias", "decoder.up_blocks.0.resnets.1.conv1.conv.weight", "decoder.up_blocks.0.resnets.1.conv1.conv.bias", "decoder.up_blocks.0.resnets.1.norm2.weight", "decoder.up_blocks.0.resnets.1.norm2.bias", "decoder.up_blocks.0.resnets.1.conv2.conv.weight", "decoder.up_blocks.0.resnets.1.conv2.conv.bias", "decoder.up_blocks.0.resnets.2.norm1.weight", "decoder.up_blocks.0.resnets.2.norm1.bias", "decoder.up_blocks.0.resnets.2.conv1.conv.weight", "decoder.up_blocks.0.resnets.2.conv1.conv.bias", "decoder.up_blocks.0.resnets.2.norm2.weight", "decoder.up_blocks.0.resnets.2.norm2.bias", "decoder.up_blocks.0.resnets.2.conv2.conv.weight", "decoder.up_blocks.0.resnets.2.conv2.conv.bias", "decoder.up_blocks.0.upsamplers.0.conv.conv.weight", "decoder.up_blocks.0.upsamplers.0.conv.conv.bias", "decoder.up_blocks.1.resnets.0.norm1.weight", "decoder.up_blocks.1.resnets.0.norm1.bias", "decoder.up_blocks.1.resnets.0.conv1.conv.weight", "decoder.up_blocks.1.resnets.0.conv1.conv.bias", "decoder.up_blocks.1.resnets.0.norm2.weight", "decoder.up_blocks.1.resnets.0.norm2.bias", "decoder.up_blocks.1.resnets.0.conv2.conv.weight", "decoder.up_blocks.1.resnets.0.conv2.conv.bias", "decoder.up_blocks.1.resnets.1.norm1.weight", "decoder.up_blocks.1.resnets.1.norm1.bias", "decoder.up_blocks.1.resnets.1.conv1.conv.weight", "decoder.up_blocks.1.resnets.1.conv1.conv.bias", "decoder.up_blocks.1.resnets.1.norm2.weight", "decoder.up_blocks.1.resnets.1.norm2.bias", "decoder.up_blocks.1.resnets.1.conv2.conv.weight", "decoder.up_blocks.1.resnets.1.conv2.conv.bias", "decoder.up_blocks.1.resnets.2.norm1.weight", "decoder.up_blocks.1.resnets.2.norm1.bias", "decoder.up_blocks.1.resnets.2.conv1.conv.weight", "decoder.up_blocks.1.resnets.2.conv1.conv.bias", "decoder.up_blocks.1.resnets.2.norm2.weight", "decoder.up_blocks.1.resnets.2.norm2.bias", "decoder.up_blocks.1.resnets.2.conv2.conv.weight", "decoder.up_blocks.1.resnets.2.conv2.conv.bias", "decoder.up_blocks.1.upsamplers.0.conv.conv.weight", "decoder.up_blocks.1.upsamplers.0.conv.conv.bias", "decoder.up_blocks.2.resnets.0.norm1.weight", "decoder.up_blocks.2.resnets.0.norm1.bias", "decoder.up_blocks.2.resnets.0.conv1.conv.weight", "decoder.up_blocks.2.resnets.0.conv1.conv.bias", "decoder.up_blocks.2.resnets.0.norm2.weight", "decoder.up_blocks.2.resnets.0.norm2.bias", "decoder.up_blocks.2.resnets.0.conv2.conv.weight", "decoder.up_blocks.2.resnets.0.conv2.conv.bias", "decoder.up_blocks.2.resnets.0.conv_shortcut.conv.weight", "decoder.up_blocks.2.resnets.0.conv_shortcut.conv.bias", "decoder.up_blocks.2.resnets.1.norm1.weight", "decoder.up_blocks.2.resnets.1.norm1.bias", "decoder.up_blocks.2.resnets.1.conv1.conv.weight", "decoder.up_blocks.2.resnets.1.conv1.conv.bias", "decoder.up_blocks.2.resnets.1.norm2.weight", "decoder.up_blocks.2.resnets.1.norm2.bias", "decoder.up_blocks.2.resnets.1.conv2.conv.weight", "decoder.up_blocks.2.resnets.1.conv2.conv.bias", "decoder.up_blocks.2.resnets.2.norm1.weight", "decoder.up_blocks.2.resnets.2.norm1.bias", "decoder.up_blocks.2.resnets.2.conv1.conv.weight", "decoder.up_blocks.2.resnets.2.conv1.conv.bias", "decoder.up_blocks.2.resnets.2.norm2.weight", "decoder.up_blocks.2.resnets.2.norm2.bias", "decoder.up_blocks.2.resnets.2.conv2.conv.weight", "decoder.up_blocks.2.resnets.2.conv2.conv.bias", "decoder.up_blocks.2.upsamplers.0.conv.conv.weight", "decoder.up_blocks.2.upsamplers.0.conv.conv.bias", "decoder.up_blocks.3.resnets.0.norm1.weight", "decoder.up_blocks.3.resnets.0.norm1.bias", "decoder.up_blocks.3.resnets.0.conv1.conv.weight", "decoder.up_blocks.3.resnets.0.conv1.conv.bias", "decoder.up_blocks.3.resnets.0.norm2.weight", "decoder.up_blocks.3.resnets.0.norm2.bias", "decoder.up_blocks.3.resnets.0.conv2.conv.weight", "decoder.up_blocks.3.resnets.0.conv2.conv.bias", "decoder.up_blocks.3.resnets.0.conv_shortcut.conv.weight", "decoder.up_blocks.3.resnets.0.conv_shortcut.conv.bias", "decoder.up_blocks.3.resnets.1.norm1.weight", "decoder.up_blocks.3.resnets.1.norm1.bias", "decoder.up_blocks.3.resnets.1.conv1.conv.weight", "decoder.up_blocks.3.resnets.1.conv1.conv.bias", "decoder.up_blocks.3.resnets.1.norm2.weight", "decoder.up_blocks.3.resnets.1.norm2.bias", "decoder.up_blocks.3.resnets.1.conv2.conv.weight", "decoder.up_blocks.3.resnets.1.conv2.conv.bias", "decoder.up_blocks.3.resnets.2.norm1.weight", "decoder.up_blocks.3.resnets.2.norm1.bias", "decoder.up_blocks.3.resnets.2.conv1.conv.weight", "decoder.up_blocks.3.resnets.2.conv1.conv.bias", "decoder.up_blocks.3.resnets.2.norm2.weight", "decoder.up_blocks.3.resnets.2.norm2.bias", "decoder.up_blocks.3.resnets.2.conv2.conv.weight", "decoder.up_blocks.3.resnets.2.conv2.conv.bias", "decoder.mid_block.attentions.0.group_norm.weight", "decoder.mid_block.attentions.0.group_norm.bias", "decoder.mid_block.attentions.0.to_q.weight", "decoder.mid_block.attentions.0.to_q.bias", "decoder.mid_block.attentions.0.to_k.weight", "decoder.mid_block.attentions.0.to_k.bias", "decoder.mid_block.attentions.0.to_v.weight", "decoder.mid_block.attentions.0.to_v.bias", "decoder.mid_block.attentions.0.to_out.0.weight", "decoder.mid_block.attentions.0.to_out.0.bias", "decoder.mid_block.resnets.0.norm1.weight", "decoder.mid_block.resnets.0.norm1.bias", "decoder.mid_block.resnets.0.conv1.conv.weight", "decoder.mid_block.resnets.0.conv1.conv.bias", "decoder.mid_block.resnets.0.norm2.weight", "decoder.mid_block.resnets.0.norm2.bias", "decoder.mid_block.resnets.0.conv2.conv.weight", "decoder.mid_block.resnets.0.conv2.conv.bias", "decoder.mid_block.resnets.1.norm1.weight", "decoder.mid_block.resnets.1.norm1.bias", "decoder.mid_block.resnets.1.conv1.conv.weight", "decoder.mid_block.resnets.1.conv1.conv.bias", "decoder.mid_block.resnets.1.norm2.weight", "decoder.mid_block.resnets.1.norm2.bias", "decoder.mid_block.resnets.1.conv2.conv.weight", "decoder.mid_block.resnets.1.conv2.conv.bias", "decoder.conv_norm_out.weight", "decoder.conv_norm_out.bias". | |
| Unexpected key(s) in state_dict: "encoder.down.0.block.0.conv1.conv.bias", "encoder.down.0.block.0.conv1.conv.weight", "encoder.down.0.block.0.conv2.conv.bias", "encoder.down.0.block.0.conv2.conv.weight", "encoder.down.0.block.0.norm1.bias", "encoder.down.0.block.0.norm1.weight", "encoder.down.0.block.0.norm2.bias", "encoder.down.0.block.0.norm2.weight", "encoder.down.0.block.1.conv1.conv.bias", "encoder.down.0.block.1.conv1.conv.weight", "encoder.down.0.block.1.conv2.conv.bias", "encoder.down.0.block.1.conv2.conv.weight", "encoder.down.0.block.1.norm1.bias", "encoder.down.0.block.1.norm1.weight", "encoder.down.0.block.1.norm2.bias", "encoder.down.0.block.1.norm2.weight", "encoder.down.0.downsample.conv.conv.bias", "encoder.down.0.downsample.conv.conv.weight", "encoder.down.1.block.0.conv1.conv.bias", "encoder.down.1.block.0.conv1.conv.weight", "encoder.down.1.block.0.conv2.conv.bias", "encoder.down.1.block.0.conv2.conv.weight", "encoder.down.1.block.0.nin_shortcut.conv.bias", "encoder.down.1.block.0.nin_shortcut.conv.weight", "encoder.down.1.block.0.norm1.bias", "encoder.down.1.block.0.norm1.weight", "encoder.down.1.block.0.norm2.bias", "encoder.down.1.block.0.norm2.weight", "encoder.down.1.block.1.conv1.conv.bias", "encoder.down.1.block.1.conv1.conv.weight", "encoder.down.1.block.1.conv2.conv.bias", "encoder.down.1.block.1.conv2.conv.weight", "encoder.down.1.block.1.norm1.bias", "encoder.down.1.block.1.norm1.weight", "encoder.down.1.block.1.norm2.bias", "encoder.down.1.block.1.norm2.weight", "encoder.down.1.downsample.conv.conv.bias", "encoder.down.1.downsample.conv.conv.weight", "encoder.down.2.block.0.conv1.conv.bias", "encoder.down.2.block.0.conv1.conv.weight", "encoder.down.2.block.0.conv2.conv.bias", "encoder.down.2.block.0.conv2.conv.weight", "encoder.down.2.block.0.nin_shortcut.conv.bias", "encoder.down.2.block.0.nin_shortcut.conv.weight", "encoder.down.2.block.0.norm1.bias", "encoder.down.2.block.0.norm1.weight", "encoder.down.2.block.0.norm2.bias", "encoder.down.2.block.0.norm2.weight", "encoder.down.2.block.1.conv1.conv.bias", "encoder.down.2.block.1.conv1.conv.weight", "encoder.down.2.block.1.conv2.conv.bias", "encoder.down.2.block.1.conv2.conv.weight", "encoder.down.2.block.1.norm1.bias", "encoder.down.2.block.1.norm1.weight", "encoder.down.2.block.1.norm2.bias", "encoder.down.2.block.1.norm2.weight", "encoder.down.2.downsample.conv.conv.bias", "encoder.down.2.downsample.conv.conv.weight", "encoder.down.3.block.0.conv1.conv.bias", "encoder.down.3.block.0.conv1.conv.weight", "encoder.down.3.block.0.conv2.conv.bias", "encoder.down.3.block.0.conv2.conv.weight", "encoder.down.3.block.0.norm1.bias", "encoder.down.3.block.0.norm1.weight", "encoder.down.3.block.0.norm2.bias", "encoder.down.3.block.0.norm2.weight", "encoder.down.3.block.1.conv1.conv.bias", "encoder.down.3.block.1.conv1.conv.weight", "encoder.down.3.block.1.conv2.conv.bias", "encoder.down.3.block.1.conv2.conv.weight", "encoder.down.3.block.1.norm1.bias", "encoder.down.3.block.1.norm1.weight", "encoder.down.3.block.1.norm2.bias", "encoder.down.3.block.1.norm2.weight", "encoder.mid.attn_1.k.bias", "encoder.mid.attn_1.k.weight", "encoder.mid.attn_1.norm.bias", "encoder.mid.attn_1.norm.weight", "encoder.mid.attn_1.proj_out.bias", "encoder.mid.attn_1.proj_out.weight", "encoder.mid.attn_1.q.bias", "encoder.mid.attn_1.q.weight", "encoder.mid.attn_1.v.bias", "encoder.mid.attn_1.v.weight", "encoder.mid.block_1.conv1.conv.bias", "encoder.mid.block_1.conv1.conv.weight", "encoder.mid.block_1.conv2.conv.bias", "encoder.mid.block_1.conv2.conv.weight", "encoder.mid.block_1.norm1.bias", "encoder.mid.block_1.norm1.weight", "encoder.mid.block_1.norm2.bias", "encoder.mid.block_1.norm2.weight", "encoder.mid.block_2.conv1.conv.bias", "encoder.mid.block_2.conv1.conv.weight", "encoder.mid.block_2.conv2.conv.bias", "encoder.mid.block_2.conv2.conv.weight", "encoder.mid.block_2.norm1.bias", "encoder.mid.block_2.norm1.weight", "encoder.mid.block_2.norm2.bias", "encoder.mid.block_2.norm2.weight", "encoder.norm_out.bias", "encoder.norm_out.weight", "decoder.mid.attn_1.k.bias", "decoder.mid.attn_1.k.weight", "decoder.mid.attn_1.norm.bias", "decoder.mid.attn_1.norm.weight", "decoder.mid.attn_1.proj_out.bias", "decoder.mid.attn_1.proj_out.weight", "decoder.mid.attn_1.q.bias", "decoder.mid.attn_1.q.weight", "decoder.mid.attn_1.v.bias", "decoder.mid.attn_1.v.weight", "decoder.mid.block_1.conv1.conv.bias", "decoder.mid.block_1.conv1.conv.weight", "decoder.mid.block_1.conv2.conv.bias", "decoder.mid.block_1.conv2.conv.weight", "decoder.mid.block_1.norm1.bias", "decoder.mid.block_1.norm1.weight", "decoder.mid.block_1.norm2.bias", "decoder.mid.block_1.norm2.weight", "decoder.mid.block_2.conv1.conv.bias", "decoder.mid.block_2.conv1.conv.weight", "decoder.mid.block_2.conv2.conv.bias", "decoder.mid.block_2.conv2.conv.weight", "decoder.mid.block_2.norm1.bias", "decoder.mid.block_2.norm1.weight", "decoder.mid.block_2.norm2.bias", "decoder.mid.block_2.norm2.weight", "decoder.norm_out.bias", "decoder.norm_out.weight", "decoder.up.0.block.0.conv1.conv.bias", "decoder.up.0.block.0.conv1.conv.weight", "decoder.up.0.block.0.conv2.conv.bias", "decoder.up.0.block.0.conv2.conv.weight", "decoder.up.0.block.0.nin_shortcut.conv.bias", "decoder.up.0.block.0.nin_shortcut.conv.weight", "decoder.up.0.block.0.norm1.bias", "decoder.up.0.block.0.norm1.weight", "decoder.up.0.block.0.norm2.bias", "decoder.up.0.block.0.norm2.weight", "decoder.up.0.block.1.conv1.conv.bias", "decoder.up.0.block.1.conv1.conv.weight", "decoder.up.0.block.1.conv2.conv.bias", "decoder.up.0.block.1.conv2.conv.weight", "decoder.up.0.block.1.norm1.bias", "decoder.up.0.block.1.norm1.weight", "decoder.up.0.block.1.norm2.bias", "decoder.up.0.block.1.norm2.weight", "decoder.up.0.block.2.conv1.conv.bias", "decoder.up.0.block.2.conv1.conv.weight", "decoder.up.0.block.2.conv2.conv.bias", "decoder.up.0.block.2.conv2.conv.weight", "decoder.up.0.block.2.norm1.bias", "decoder.up.0.block.2.norm1.weight", "decoder.up.0.block.2.norm2.bias", "decoder.up.0.block.2.norm2.weight", "decoder.up.1.block.0.conv1.conv.bias", "decoder.up.1.block.0.conv1.conv.weight", "decoder.up.1.block.0.conv2.conv.bias", "decoder.up.1.block.0.conv2.conv.weight", "decoder.up.1.block.0.nin_shortcut.conv.bias", "decoder.up.1.block.0.nin_shortcut.conv.weight", "decoder.up.1.block.0.norm1.bias", "decoder.up.1.block.0.norm1.weight", "decoder.up.1.block.0.norm2.bias", "decoder.up.1.block.0.norm2.weight", "decoder.up.1.block.1.conv1.conv.bias", "decoder.up.1.block.1.conv1.conv.weight", "decoder.up.1.block.1.conv2.conv.bias", "decoder.up.1.block.1.conv2.conv.weight", "decoder.up.1.block.1.norm1.bias", "decoder.up.1.block.1.norm1.weight", "decoder.up.1.block.1.norm2.bias", "decoder.up.1.block.1.norm2.weight", "decoder.up.1.block.2.conv1.conv.bias", "decoder.up.1.block.2.conv1.conv.weight", "decoder.up.1.block.2.conv2.conv.bias", "decoder.up.1.block.2.conv2.conv.weight", "decoder.up.1.block.2.norm1.bias", "decoder.up.1.block.2.norm1.weight", "decoder.up.1.block.2.norm2.bias", "decoder.up.1.block.2.norm2.weight", "decoder.up.1.upsample.conv.conv.bias", "decoder.up.1.upsample.conv.conv.weight", "decoder.up.2.block.0.conv1.conv.bias", "decoder.up.2.block.0.conv1.conv.weight", "decoder.up.2.block.0.conv2.conv.bias", "decoder.up.2.block.0.conv2.conv.weight", "decoder.up.2.block.0.norm1.bias", "decoder.up.2.block.0.norm1.weight", "decoder.up.2.block.0.norm2.bias", "decoder.up.2.block.0.norm2.weight", "decoder.up.2.block.1.conv1.conv.bias", "decoder.up.2.block.1.conv1.conv.weight", "decoder.up.2.block.1.conv2.conv.bias", "decoder.up.2.block.1.conv2.conv.weight", "decoder.up.2.block.1.norm1.bias", "decoder.up.2.block.1.norm1.weight", "decoder.up.2.block.1.norm2.bias", "decoder.up.2.block.1.norm2.weight", "decoder.up.2.block.2.conv1.conv.bias", "decoder.up.2.block.2.conv1.conv.weight", "decoder.up.2.block.2.conv2.conv.bias", "decoder.up.2.block.2.conv2.conv.weight", "decoder.up.2.block.2.norm1.bias", "decoder.up.2.block.2.norm1.weight", "decoder.up.2.block.2.norm2.bias", "decoder.up.2.block.2.norm2.weight", "decoder.up.2.upsample.conv.conv.bias", "decoder.up.2.upsample.conv.conv.weight", "decoder.up.3.block.0.conv1.conv.bias", "decoder.up.3.block.0.conv1.conv.weight", "decoder.up.3.block.0.conv2.conv.bias", "decoder.up.3.block.0.conv2.conv.weight", "decoder.up.3.block.0.norm1.bias", "decoder.up.3.block.0.norm1.weight", "decoder.up.3.block.0.norm2.bias", "decoder.up.3.block.0.norm2.weight", "decoder.up.3.block.1.conv1.conv.bias", "decoder.up.3.block.1.conv1.conv.weight", "decoder.up.3.block.1.conv2.conv.bias", "decoder.up.3.block.1.conv2.conv.weight", "decoder.up.3.block.1.norm1.bias", "decoder.up.3.block.1.norm1.weight", "decoder.up.3.block.1.norm2.bias", "decoder.up.3.block.1.norm2.weight", "decoder.up.3.block.2.conv1.conv.bias", "decoder.up.3.block.2.conv1.conv.weight", "decoder.up.3.block.2.conv2.conv.bias", "decoder.up.3.block.2.conv2.conv.weight", "decoder.up.3.block.2.norm1.bias", "decoder.up.3.block.2.norm1.weight", "decoder.up.3.block.2.norm2.bias", "decoder.up.3.block.2.norm2.weight", "decoder.up.3.upsample.conv.conv.bias", "decoder.up.3.upsample.conv.conv.weight". | |
| 2025-02-23T13:03:07.697040 - Traceback (most recent call last): | |
| File "F:\SD-Zluda\ComfyUI\execution.py", line 327, in execute | |
| output_data, output_ui, has_subgraph = get_output_data(obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb) | |
| File "F:\SD-Zluda\ComfyUI\execution.py", line 202, in get_output_data | |
| return_values = _map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb) | |
| File "F:\SD-Zluda\ComfyUI\execution.py", line 174, in _map_node_over_list | |
| process_inputs(input_dict, i) | |
| File "F:\SD-Zluda\ComfyUI\execution.py", line 163, in process_inputs | |
| results.append(getattr(obj, func)(**inputs)) | |
| File "F:\SD-Zluda\ComfyUI\custom_nodes\comfyui-hunyuanvideowrapper\nodes.py", line 564, in loadmodel | |
| vae.load_state_dict(vae_sd) | |
| File "F:\SD-Zluda\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 2189, in load_state_dict | |
| raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format( | |
| RuntimeError: Error(s) in loading state_dict for AutoencoderKLCausal3D: | |
| Missing key(s) in state_dict: "encoder.down_blocks.0.resnets.0.norm1.weight", "encoder.down_blocks.0.resnets.0.norm1.bias", "encoder.down_blocks.0.resnets.0.conv1.conv.weight", "encoder.down_blocks.0.resnets.0.conv1.conv.bias", "encoder.down_blocks.0.resnets.0.norm2.weight", "encoder.down_blocks.0.resnets.0.norm2.bias", "encoder.down_blocks.0.resnets.0.conv2.conv.weight", "encoder.down_blocks.0.resnets.0.conv2.conv.bias", "encoder.down_blocks.0.resnets.1.norm1.weight", "encoder.down_blocks.0.resnets.1.norm1.bias", "encoder.down_blocks.0.resnets.1.conv1.conv.weight", "encoder.down_blocks.0.resnets.1.conv1.conv.bias", "encoder.down_blocks.0.resnets.1.norm2.weight", "encoder.down_blocks.0.resnets.1.norm2.bias", "encoder.down_blocks.0.resnets.1.conv2.conv.weight", "encoder.down_blocks.0.resnets.1.conv2.conv.bias", "encoder.down_blocks.0.downsamplers.0.conv.conv.weight", "encoder.down_blocks.0.downsamplers.0.conv.conv.bias", "encoder.down_blocks.1.resnets.0.norm1.weight", "encoder.down_blocks.1.resnets.0.norm1.bias", "encoder.down_blocks.1.resnets.0.conv1.conv.weight", "encoder.down_blocks.1.resnets.0.conv1.conv.bias", "encoder.down_blocks.1.resnets.0.norm2.weight", "encoder.down_blocks.1.resnets.0.norm2.bias", "encoder.down_blocks.1.resnets.0.conv2.conv.weight", "encoder.down_blocks.1.resnets.0.conv2.conv.bias", "encoder.down_blocks.1.resnets.0.conv_shortcut.conv.weight", "encoder.down_blocks.1.resnets.0.conv_shortcut.conv.bias", "encoder.down_blocks.1.resnets.1.norm1.weight", "encoder.down_blocks.1.resnets.1.norm1.bias", "encoder.down_blocks.1.resnets.1.conv1.conv.weight", "encoder.down_blocks.1.resnets.1.conv1.conv.bias", "encoder.down_blocks.1.resnets.1.norm2.weight", "encoder.down_blocks.1.resnets.1.norm2.bias", "encoder.down_blocks.1.resnets.1.conv2.conv.weight", "encoder.down_blocks.1.resnets.1.conv2.conv.bias", "encoder.down_blocks.1.downsamplers.0.conv.conv.weight", "encoder.down_blocks.1.downsamplers.0.conv.conv.bias", 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"encoder.down_blocks.2.downsamplers.0.conv.conv.bias", "encoder.down_blocks.3.resnets.0.norm1.weight", "encoder.down_blocks.3.resnets.0.norm1.bias", "encoder.down_blocks.3.resnets.0.conv1.conv.weight", "encoder.down_blocks.3.resnets.0.conv1.conv.bias", "encoder.down_blocks.3.resnets.0.norm2.weight", "encoder.down_blocks.3.resnets.0.norm2.bias", "encoder.down_blocks.3.resnets.0.conv2.conv.weight", "encoder.down_blocks.3.resnets.0.conv2.conv.bias", "encoder.down_blocks.3.resnets.1.norm1.weight", "encoder.down_blocks.3.resnets.1.norm1.bias", "encoder.down_blocks.3.resnets.1.conv1.conv.weight", "encoder.down_blocks.3.resnets.1.conv1.conv.bias", "encoder.down_blocks.3.resnets.1.norm2.weight", "encoder.down_blocks.3.resnets.1.norm2.bias", "encoder.down_blocks.3.resnets.1.conv2.conv.weight", "encoder.down_blocks.3.resnets.1.conv2.conv.bias", "encoder.mid_block.attentions.0.group_norm.weight", "encoder.mid_block.attentions.0.group_norm.bias", "encoder.mid_block.attentions.0.to_q.weight", 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"decoder.up_blocks.1.resnets.1.conv1.conv.bias", "decoder.up_blocks.1.resnets.1.norm2.weight", "decoder.up_blocks.1.resnets.1.norm2.bias", "decoder.up_blocks.1.resnets.1.conv2.conv.weight", "decoder.up_blocks.1.resnets.1.conv2.conv.bias", "decoder.up_blocks.1.resnets.2.norm1.weight", "decoder.up_blocks.1.resnets.2.norm1.bias", "decoder.up_blocks.1.resnets.2.conv1.conv.weight", "decoder.up_blocks.1.resnets.2.conv1.conv.bias", "decoder.up_blocks.1.resnets.2.norm2.weight", "decoder.up_blocks.1.resnets.2.norm2.bias", "decoder.up_blocks.1.resnets.2.conv2.conv.weight", "decoder.up_blocks.1.resnets.2.conv2.conv.bias", "decoder.up_blocks.1.upsamplers.0.conv.conv.weight", "decoder.up_blocks.1.upsamplers.0.conv.conv.bias", "decoder.up_blocks.2.resnets.0.norm1.weight", "decoder.up_blocks.2.resnets.0.norm1.bias", "decoder.up_blocks.2.resnets.0.conv1.conv.weight", "decoder.up_blocks.2.resnets.0.conv1.conv.bias", "decoder.up_blocks.2.resnets.0.norm2.weight", 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"decoder.mid_block.resnets.0.conv1.conv.weight", "decoder.mid_block.resnets.0.conv1.conv.bias", "decoder.mid_block.resnets.0.norm2.weight", "decoder.mid_block.resnets.0.norm2.bias", "decoder.mid_block.resnets.0.conv2.conv.weight", "decoder.mid_block.resnets.0.conv2.conv.bias", "decoder.mid_block.resnets.1.norm1.weight", "decoder.mid_block.resnets.1.norm1.bias", "decoder.mid_block.resnets.1.conv1.conv.weight", "decoder.mid_block.resnets.1.conv1.conv.bias", "decoder.mid_block.resnets.1.norm2.weight", "decoder.mid_block.resnets.1.norm2.bias", "decoder.mid_block.resnets.1.conv2.conv.weight", "decoder.mid_block.resnets.1.conv2.conv.bias", "decoder.conv_norm_out.weight", "decoder.conv_norm_out.bias". | |
| Unexpected key(s) in state_dict: "encoder.down.0.block.0.conv1.conv.bias", "encoder.down.0.block.0.conv1.conv.weight", "encoder.down.0.block.0.conv2.conv.bias", "encoder.down.0.block.0.conv2.conv.weight", "encoder.down.0.block.0.norm1.bias", "encoder.down.0.block.0.norm1.weight", "encoder.down.0.block.0.norm2.bias", "encoder.down.0.block.0.norm2.weight", "encoder.down.0.block.1.conv1.conv.bias", "encoder.down.0.block.1.conv1.conv.weight", "encoder.down.0.block.1.conv2.conv.bias", "encoder.down.0.block.1.conv2.conv.weight", "encoder.down.0.block.1.norm1.bias", "encoder.down.0.block.1.norm1.weight", "encoder.down.0.block.1.norm2.bias", "encoder.down.0.block.1.norm2.weight", "encoder.down.0.downsample.conv.conv.bias", "encoder.down.0.downsample.conv.conv.weight", "encoder.down.1.block.0.conv1.conv.bias", "encoder.down.1.block.0.conv1.conv.weight", "encoder.down.1.block.0.conv2.conv.bias", "encoder.down.1.block.0.conv2.conv.weight", "encoder.down.1.block.0.nin_shortcut.conv.bias", "encoder.down.1.block.0.nin_shortcut.conv.weight", "encoder.down.1.block.0.norm1.bias", "encoder.down.1.block.0.norm1.weight", "encoder.down.1.block.0.norm2.bias", "encoder.down.1.block.0.norm2.weight", "encoder.down.1.block.1.conv1.conv.bias", "encoder.down.1.block.1.conv1.conv.weight", "encoder.down.1.block.1.conv2.conv.bias", "encoder.down.1.block.1.conv2.conv.weight", "encoder.down.1.block.1.norm1.bias", "encoder.down.1.block.1.norm1.weight", "encoder.down.1.block.1.norm2.bias", "encoder.down.1.block.1.norm2.weight", "encoder.down.1.downsample.conv.conv.bias", "encoder.down.1.downsample.conv.conv.weight", "encoder.down.2.block.0.conv1.conv.bias", "encoder.down.2.block.0.conv1.conv.weight", "encoder.down.2.block.0.conv2.conv.bias", "encoder.down.2.block.0.conv2.conv.weight", "encoder.down.2.block.0.nin_shortcut.conv.bias", "encoder.down.2.block.0.nin_shortcut.conv.weight", "encoder.down.2.block.0.norm1.bias", "encoder.down.2.block.0.norm1.weight", 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"decoder.up.2.block.2.conv1.conv.weight", "decoder.up.2.block.2.conv2.conv.bias", "decoder.up.2.block.2.conv2.conv.weight", "decoder.up.2.block.2.norm1.bias", "decoder.up.2.block.2.norm1.weight", "decoder.up.2.block.2.norm2.bias", "decoder.up.2.block.2.norm2.weight", "decoder.up.2.upsample.conv.conv.bias", "decoder.up.2.upsample.conv.conv.weight", "decoder.up.3.block.0.conv1.conv.bias", "decoder.up.3.block.0.conv1.conv.weight", "decoder.up.3.block.0.conv2.conv.bias", "decoder.up.3.block.0.conv2.conv.weight", "decoder.up.3.block.0.norm1.bias", "decoder.up.3.block.0.norm1.weight", "decoder.up.3.block.0.norm2.bias", "decoder.up.3.block.0.norm2.weight", "decoder.up.3.block.1.conv1.conv.bias", "decoder.up.3.block.1.conv1.conv.weight", "decoder.up.3.block.1.conv2.conv.bias", "decoder.up.3.block.1.conv2.conv.weight", "decoder.up.3.block.1.norm1.bias", "decoder.up.3.block.1.norm1.weight", "decoder.up.3.block.1.norm2.bias", "decoder.up.3.block.1.norm2.weight", "decoder.up.3.block.2.conv1.conv.bias", "decoder.up.3.block.2.conv1.conv.weight", "decoder.up.3.block.2.conv2.conv.bias", "decoder.up.3.block.2.conv2.conv.weight", "decoder.up.3.block.2.norm1.bias", "decoder.up.3.block.2.norm1.weight", "decoder.up.3.block.2.norm2.bias", "decoder.up.3.block.2.norm2.weight", "decoder.up.3.upsample.conv.conv.bias", "decoder.up.3.upsample.conv.conv.weight". | |
| 2025-02-23T13:03:07.699040 - Prompt executed in 0.79 seconds | |
| ``` | |
| ## Attached Workflow | |
| Please make sure that workflow does not contain any sensitive information such as API keys or passwords. | |
| ``` | |
| {"last_node_id":99,"last_link_id":136,"nodes":[{"id":58,"type":"HyVideoCFG","pos":[-1280,1410],"size":[437.5832824707031,201.83335876464844],"flags":{},"order":0,"mode":0,"inputs":[],"outputs":[{"name":"hyvid_cfg","type":"HYVID_CFG","links":[130],"slot_index":0}],"properties":{"cnr_id":"comfyui-hunyuanvideowrapper","ver":"5cbc584b68caef787ce3cdf5da565e8bcc3af3f1","Node name for S&R":"HyVideoCFG"},"widgets_values":["camera movement, jump cut, scene cut, transition, fading, morphing",6,0,0.5,false]},{"id":57,"type":"HyVideoTorchCompileSettings","pos":[-1854.767822265625,-527.714111328125],"size":[441,274],"flags":{},"order":1,"mode":0,"inputs":[],"outputs":[{"name":"torch_compile_args","type":"COMPILEARGS","links":[105],"slot_index":0}],"properties":{"cnr_id":"comfyui-hunyuanvideowrapper","ver":"5cbc584b68caef787ce3cdf5da565e8bcc3af3f1","Node name for S&R":"HyVideoTorchCompileSettings"},"widgets_values":["inductor",false,"default",false,64,true,true,false,false,false]},{"id":88,"type":"HyVideoCustomPromptTemplate","pos":[-1290,800],"size":[453.78076171875,551.197265625],"flags":{},"order":2,"mode":0,"inputs":[],"outputs":[{"name":"hyvid_prompt_template","type":"PROMPT_TEMPLATE","links":[131],"slot_index":0}],"properties":{"cnr_id":"comfyui-hunyuanvideowrapper","ver":"5cbc584b68caef787ce3cdf5da565e8bcc3af3f1","Node name for S&R":"HyVideoCustomPromptTemplate"},"widgets_values":["<|start_header_id|>system<|end_header_id|>\n\nYou are a professional Content Analyst. As a specialist Scene Annotator, you tag and describe scenes in detail, paying special attention to the temporal coherence and sequence of events in the scene.\n\n# INSTRUCTIONS\n\nYou will receive two inputs:\n\n1. The first frame of a video;\n2. A short description of the scene.\n\nYour job is to write a comprehensive description of the scene based on the inputs.\n\n# IMPORTANT INFORMATION \n\nThe scene is only 4s (four seconds long).\nThe scene has 98 frames in total at 24 frames per second (24 fps).\n\n# GUIDELINES\n\n- Write a detailed description based on the inputs.\n- Use your expertise to adapt the scene description so that it is consistent and coherent.\n- Ensure the actions and events described can fit reasonably in a 4 second clip.\n- Be concise and avoid abstract qualifiers, focus on concrete aspects of the scene, in particular the main subject, the motion, actions and events.\n- Use the input image, which is the fisrt frame of the video, to infer the visual qualities, mood and tone of the overall scene.\n- Always consider the appropriate sequence of events for the scene so it fits the four seconds legth of the clip.\n\n# DELIVERABLES\n\nYou will deliver a concise and detailed description of the scene that is consistent with the inputs you receive, and temporally coherent given the length of the scene. You should output something like this:\n\nDETAILED DESCRIPTION OF THE VIDEO SCENE IN APPROPRIATE TEMPORAL SEQUENCE. OVERALL MOOD OF THE SCENE BASED ON THE FIRST FRAME. 3 TO 5 TAGS THAT REPRESENT THE SCENE GENRE/STYLE/CATEGORY.\n\n\nWrite the scene description: \n\n<|eot_id|><|start_header_id|>user<|end_header_id|>\n\n{}<|eot_id|>",95]},{"id":45,"type":"ImageResizeKJ","pos":[-1220,140],"size":[315,266],"flags":{},"order":10,"mode":0,"inputs":[{"name":"image","type":"IMAGE","link":123},{"name":"get_image_size","type":"IMAGE","link":null,"shape":7},{"name":"width_input","type":"INT","link":null,"shape":7,"widget":{"name":"width_input"}},{"name":"height_input","type":"INT","link":null,"shape":7,"widget":{"name":"height_input"}}],"outputs":[{"name":"IMAGE","type":"IMAGE","links":[119,120,121],"slot_index":0},{"name":"width","type":"INT","links":[69],"slot_index":1},{"name":"height","type":"INT","links":[70],"slot_index":2}],"properties":{"cnr_id":"comfyui-kjnodes","ver":"f3d931a630e01821fc1375c9aa24401ab2852347","Node name for S&R":"ImageResizeKJ"},"widgets_values":[544,960,"lanczos",false,2,0,0,"center"]},{"id":30,"type":"HyVideoTextEncode","pos":[-750,510],"size":[313.6783752441406,440.2134704589844],"flags":{},"order":11,"mode":0,"inputs":[{"name":"text_encoders","type":"HYVIDTEXTENCODER","link":35},{"name":"custom_prompt_template","type":"PROMPT_TEMPLATE","link":131,"shape":7},{"name":"clip_l","type":"CLIP","link":null,"shape":7},{"name":"hyvid_cfg","type":"HYVID_CFG","link":130,"shape":7}],"outputs":[{"name":"hyvid_embeds","type":"HYVIDEMBEDS","links":[74],"slot_index":0}],"properties":{"cnr_id":"comfyui-hunyuanvideowrapper","ver":"5cbc584b68caef787ce3cdf5da565e8bcc3af3f1","Node name for S&R":"HyVideoTextEncode"},"widgets_values":["Cinematic scene shows a woman getting up and walking away.The background remains consistent throughout the scene. ","bad quality video","video"]},{"id":43,"type":"HyVideoEncode","pos":[-762.68408203125,-89.60575866699219],"size":[315,198],"flags":{},"order":12,"mode":0,"inputs":[{"name":"vae","type":"VAE","link":135},{"name":"image","type":"IMAGE","link":119}],"outputs":[{"name":"samples","type":"LATENT","links":[75],"slot_index":0}],"properties":{"cnr_id":"comfyui-hunyuanvideowrapper","ver":"5cbc584b68caef787ce3cdf5da565e8bcc3af3f1","Node name for S&R":"HyVideoEncode"},"widgets_values":[false,64,256,true,0.04,1]},{"id":52,"type":"ImageConcatMulti","pos":[1265.74609375,-380.3453063964844],"size":[210,150],"flags":{},"order":16,"mode":0,"inputs":[{"name":"image_1","type":"IMAGE","link":120},{"name":"image_2","type":"IMAGE","link":85}],"outputs":[{"name":"images","type":"IMAGE","links":[73],"slot_index":0}],"properties":{"cnr_id":"comfyui-kjnodes","ver":"f3d931a630e01821fc1375c9aa24401ab2852347"},"widgets_values":[2,"right",false,null]},{"id":34,"type":"VHS_VideoCombine","pos":[1526.9112548828125,-380.55364990234375],"size":[215.375,334],"flags":{},"order":18,"mode":0,"inputs":[{"name":"images","type":"IMAGE","link":73},{"name":"audio","type":"AUDIO","link":null,"shape":7},{"name":"meta_batch","type":"VHS_BatchManager","link":null,"shape":7},{"name":"vae","type":"VAE","link":null,"shape":7}],"outputs":[{"name":"Filenames","type":"VHS_FILENAMES","links":null}],"properties":{"cnr_id":"comfyui-videohelpersuite","ver":"124c913ccdd8a585734ea758c35fa1bab8499c99","Node name for S&R":"VHS_VideoCombine"},"widgets_values":{"frame_rate":24,"loop_count":0,"filename_prefix":"HunyuanVideo_skyreel_I2V","format":"video/h264-mp4","pix_fmt":"yuv420p","crf":19,"save_metadata":true,"trim_to_audio":false,"pingpong":false,"save_output":true,"videopreview":{"hidden":false,"paused":false,"params":{"filename":"HunyuanVideo_skyreel_I2V_00047.mp4","subfolder":"","type":"output","format":"video/h264-mp4","frame_rate":24,"workflow":"HunyuanVideo_skyreel_I2V_00047.png","fullpath":"/home/linux/AI/ComfyUI/output/HunyuanVideo_skyreel_I2V_00047.mp4"},"muted":false}}},{"id":60,"type":"ColorMatch","pos":[893.6535034179688,-226.94412231445312],"size":[315,102],"flags":{},"order":15,"mode":0,"inputs":[{"name":"image_ref","type":"IMAGE","link":121},{"name":"image_target","type":"IMAGE","link":83}],"outputs":[{"name":"image","type":"IMAGE","links":[85,117],"slot_index":0}],"properties":{"cnr_id":"comfyui-kjnodes","ver":"f3d931a630e01821fc1375c9aa24401ab2852347","Node name for S&R":"ColorMatch"},"widgets_values":["mkl",1]},{"id":64,"type":"HyVideoEnhanceAVideo","pos":[-802.6838989257812,246.1566162109375],"size":[352.79998779296875,154],"flags":{},"order":3,"mode":0,"inputs":[],"outputs":[{"name":"feta_args","type":"FETAARGS","links":[91]}],"properties":{"cnr_id":"comfyui-hunyuanvideowrapper","ver":"5cbc584b68caef787ce3cdf5da565e8bcc3af3f1","Node name for S&R":"HyVideoEnhanceAVideo"},"widgets_values":[4,true,true,0,1]},{"id":59,"type":"HyVideoBlockSwap","pos":[-1742.82958984375,-190.67405700683594],"size":[315,130],"flags":{},"order":4,"mode":0,"inputs":[],"outputs":[{"name":"block_swap_args","type":"BLOCKSWAPARGS","links":[108],"slot_index":0}],"properties":{"cnr_id":"comfyui-hunyuanvideowrapper","ver":"5cbc584b68caef787ce3cdf5da565e8bcc3af3f1","Node name for S&R":"HyVideoBlockSwap"},"widgets_values":[20,10,false,false]},{"id":78,"type":"VHS_VideoCombine","pos":[1528.812744140625,23.629047393798828],"size":[215.375,334],"flags":{},"order":17,"mode":0,"inputs":[{"name":"images","type":"IMAGE","link":117},{"name":"audio","type":"AUDIO","link":null,"shape":7},{"name":"meta_batch","type":"VHS_BatchManager","link":null,"shape":7},{"name":"vae","type":"VAE","link":null,"shape":7}],"outputs":[{"name":"Filenames","type":"VHS_FILENAMES","links":null}],"properties":{"cnr_id":"comfyui-videohelpersuite","ver":"124c913ccdd8a585734ea758c35fa1bab8499c99","Node name for S&R":"VHS_VideoCombine"},"widgets_values":{"frame_rate":24,"loop_count":0,"filename_prefix":"HunyuanVideo_skyreel_I2V","format":"video/h264-mp4","pix_fmt":"yuv420p","crf":19,"save_metadata":true,"trim_to_audio":false,"pingpong":false,"save_output":true,"videopreview":{"hidden":false,"paused":false,"params":{"filename":"HunyuanVideo_skyreel_I2V_00046.mp4","subfolder":"","type":"output","format":"video/h264-mp4","frame_rate":24,"workflow":"HunyuanVideo_skyreel_I2V_00046.png","fullpath":"/home/linux/AI/ComfyUI/output/HunyuanVideo_skyreel_I2V_00046.mp4"},"muted":false}}},{"id":79,"type":"LoadImage","pos":[-1738.3333740234375,235.88121032714844],"size":[315,314],"flags":{},"order":5,"mode":0,"inputs":[],"outputs":[{"name":"IMAGE","type":"IMAGE","links":[123],"slot_index":0},{"name":"MASK","type":"MASK","links":null}],"properties":{"cnr_id":"comfy-core","ver":"0.3.14","Node name for S&R":"LoadImage"},"widgets_values":["amateur-absurdist.png","image"]},{"id":16,"type":"DownloadAndLoadHyVideoTextEncoder","pos":[-1220,510],"size":[391.5,202],"flags":{},"order":6,"mode":0,"inputs":[],"outputs":[{"name":"hyvid_text_encoder","type":"HYVIDTEXTENCODER","links":[35]}],"properties":{"cnr_id":"comfyui-hunyuanvideowrapper","ver":"5cbc584b68caef787ce3cdf5da565e8bcc3af3f1","Node name for 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| |
| ``` | |
| ## Additional Context | |
| (Please add any additional context or steps to reproduce the error here) | |
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