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-LowNoise-14B-Q4_K_S.gguf
Download models/diffusion_models/WAN/Wan2.2-Fun-Control-LowNoise-14B-Q4_K_S.gguf from UmeAiRT/ComfyUI-Auto-Installer-Assets: direct link, hf CLI and curl.
- Browser
- Download file 8.76 GB
-
https://huggingface.co/UmeAiRT/ComfyUI-Auto-Installer-Assets/resolve/dc426751977654a2d19b184097259dcfc9426928/models/diffusion_models/WAN/Wan2.2-Fun-Control-LowNoise-14B-Q4_K_S.gguf
- Command line
-
hf download hf://UmeAiRT/ComfyUI-Auto-Installer-Assets@dc426751977654a2d19b184097259dcfc9426928/models/diffusion_models/WAN/Wan2.2-Fun-Control-LowNoise-14B-Q4_K_S.gguf
-
curl -L -o Wan2.2-Fun-Control-LowNoise-14B-Q4_K_S.gguf https://huggingface.co/UmeAiRT/ComfyUI-Auto-Installer-Assets/resolve/dc426751977654a2d19b184097259dcfc9426928/models/diffusion_models/WAN/Wan2.2-Fun-Control-LowNoise-14B-Q4_K_S.gguf
8.76 GB
- Xet hash:
- 1354b1046b8d4b3e1308936d240c0cec77e6f8e9649893adb073e6d28a19c0d7
- Size of remote file:
- 8.76 GB
- SHA256:
- 1a21458840caef8804c328abcaf5b6ba031a2200dea3dff58cf3de237fc8b4f6
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