Instructions to use UmeAiRT/ComfyUI-Auto-Installer-Assets with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use UmeAiRT/ComfyUI-Auto-Installer-Assets with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("UmeAiRT/ComfyUI-Auto-Installer-Assets", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
ComfyUI-Auto-Installer-Assets / models /diffusion_models /WAN /Wan2.2-Fun-Control-HighNoise-14B-Q6_K.gguf
Download models/diffusion_models/WAN/Wan2.2-Fun-Control-HighNoise-14B-Q6_K.gguf from UmeAiRT/ComfyUI-Auto-Installer-Assets: direct link, hf CLI and curl.
- Browser
- Download file 12 GB
-
https://huggingface.co/UmeAiRT/ComfyUI-Auto-Installer-Assets/resolve/dc426751977654a2d19b184097259dcfc9426928/models/diffusion_models/WAN/Wan2.2-Fun-Control-HighNoise-14B-Q6_K.gguf
- Command line
-
hf download hf://UmeAiRT/ComfyUI-Auto-Installer-Assets@dc426751977654a2d19b184097259dcfc9426928/models/diffusion_models/WAN/Wan2.2-Fun-Control-HighNoise-14B-Q6_K.gguf
-
curl -L -o Wan2.2-Fun-Control-HighNoise-14B-Q6_K.gguf https://huggingface.co/UmeAiRT/ComfyUI-Auto-Installer-Assets/resolve/dc426751977654a2d19b184097259dcfc9426928/models/diffusion_models/WAN/Wan2.2-Fun-Control-HighNoise-14B-Q6_K.gguf
12 GB
- Xet hash:
- c981dcf5af65087f1f0094fddfcb2ed849bd3fc6118ca86fb1b60c297bce5b97
- Size of remote file:
- 12 GB
- SHA256:
- 23b4499d883dc3a5c6ee621f849bf3db39b30474f8ded33c39544c67b5d273b4
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