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# Attempt to recreate tngtech/DeepSeek-R1T-Chimera from quantized files
#  based on https://huggingface.co/tngtech/DeepSeek-R1T-Chimera/discussions/1
#  using:
#   - https://huggingface.co/unsloth/DeepSeek-R1-GGUF
#   - https://huggingface.co/unsloth/DeepSeek-V3-0324-GGUF
# NOTE: The key mapping might not be 100% correct, feel free to experiment
import gguf
from tqdm import tqdm

# I merged the split files using `llama-gguf-split --merge` first

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# Force model to always use specified device
# Place in `ComfyUI\custom_nodes` to use
#  City96 [Apache2]
#
import types
import torch
import comfy.model_management

class OverrideDevice:
    @classmethod

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# Find images with content hidden by alpha channel
# Ref https://github.com/kohya-ss/sd-scripts/issues/1269
#  City96 | 2024
import os
import torch
import torchvision
from tqdm import tqdm
from torch.multiprocessing import Pool

# Path to source image dataset

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#
# Simple custom node to segment anime images using https://github.com/SkyTNT/anime-segmentation
#  To install the custom node, copy this file to your `ComfyUI/custom_nodes` folder
#  To install the requirements, run `pip install onnxruntime huggingface-hub` inside your VENV
#  If using the standalone, navigate to the folder where your .bat file is and run this command:
#  .\python_embeded\python.exe -m pip install onnxruntime huggingface-hub
#

import torch
import numpy as np

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#
# Deflicker videos by only grabbing the interpolated frames.
# Helps to smoothe over AI animations, at least somewhat.
# Edit the cmd on line 40 to change the model from whatever the default is.
#
# You'll need this in the same folder https://github.com/nihui/rife-ncnn-vulkan + ffmpeg in path
#

import os 
from shutil import copyfile

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#
# Sort stable diffusion images by the UI they were generated in.
# 
import os
import json
import argparse
from PIL import Image
from tqdm import tqdm
from shutil import copyfile

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# GIMP Python-Fu script to create (rough) masks from OpenPose images.
# Not recommended for singe images, mainly useful for animations/batches.
# Requires a uniform black background to work.
# Edit input/output folders, then paste into Filters->Python-Fu->Console.
import gimpcolor
import os

in_dir = r"O:\example\raw" # Input folder
out_dir = r"O:\example\out" # Output folder
grow_size = 48 # Main mask size

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FFmpeg video to/from image sequence

Placeholders:

• raw.mp4 - Your input video
• out.mp4 - Your output video
• -r 30 - The framerate of your videos.
• %04d - The format of your image sequence.
• images - The folder with your image sequence

Video -> Image sequence