| # Made by https://github.com/blepping | |
| # I recommend using the repo version instead as it's easier to install (currently no functional difference): | |
| # https://github.com/blepping/ComfyUI-ApplyResAdapterUnet | |
| # Very experimental ComfyUI node for https://github.com/bytedance/res-adapter | |
| # Usage: | |
| # Put resadapter.py in custom_nodes/ directory. | |
| # Put the resolution_normalization.safetensors model in models/unet | |
| # Patch the model with ApplyResAdapterUnet, load the LoRA part normally. |
Hello. I've decided to share a lot more of my knowledge in public forums from now on, and to not divert any of my focus away from improving the world in a way that stays written in history.
This Gist is about discussing on how to improve AV1 decoding performance on 2 fronts: improving performance through more efficient decoding, and through decoding aware encoding.
Here are many tips on how to improve decoding performance on any machine:
