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-Q3_K_S.gguf
Download models/diffusion_models/WAN/Wan2.2-Fun-Control-HighNoise-14B-Q3_K_S.gguf from UmeAiRT/ComfyUI-Auto-Installer-Assets: direct link, hf CLI and curl.
- Browser
- Download file 6.53 GB
-
https://huggingface.co/UmeAiRT/ComfyUI-Auto-Installer-Assets/resolve/dc426751977654a2d19b184097259dcfc9426928/models/diffusion_models/WAN/Wan2.2-Fun-Control-HighNoise-14B-Q3_K_S.gguf
- Command line
-
hf download hf://UmeAiRT/ComfyUI-Auto-Installer-Assets@dc426751977654a2d19b184097259dcfc9426928/models/diffusion_models/WAN/Wan2.2-Fun-Control-HighNoise-14B-Q3_K_S.gguf
-
curl -L -o Wan2.2-Fun-Control-HighNoise-14B-Q3_K_S.gguf https://huggingface.co/UmeAiRT/ComfyUI-Auto-Installer-Assets/resolve/dc426751977654a2d19b184097259dcfc9426928/models/diffusion_models/WAN/Wan2.2-Fun-Control-HighNoise-14B-Q3_K_S.gguf
6.53 GB
- Xet hash:
- 6e6af67b9cd4a7ee758180f9d4b0008fd3508f65e75302bf44f7a1c9ce77a15c
- Size of remote file:
- 6.53 GB
- SHA256:
- b1af146d9221bbb7f3f7c516879676b624b3c77aa14c57cef8dd88e1418a2e45
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.