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
Download models/diffusion_models/WAN/Wan2.1-Fun-14B-InP-Q8_0.gguf from UmeAiRT/ComfyUI-Auto-Installer-Assets: direct link, hf CLI and curl.
- Browser
- Download file 17.7 GB
-
https://huggingface.co/UmeAiRT/ComfyUI-Auto-Installer-Assets/resolve/73b7161c2aa8e18def568ce25c247db38f422f88/models/diffusion_models/WAN/Wan2.1-Fun-14B-InP-Q8_0.gguf
- Command line
-
hf download hf://UmeAiRT/ComfyUI-Auto-Installer-Assets@73b7161c2aa8e18def568ce25c247db38f422f88/models/diffusion_models/WAN/Wan2.1-Fun-14B-InP-Q8_0.gguf
-
curl -L -o Wan2.1-Fun-14B-InP-Q8_0.gguf https://huggingface.co/UmeAiRT/ComfyUI-Auto-Installer-Assets/resolve/73b7161c2aa8e18def568ce25c247db38f422f88/models/diffusion_models/WAN/Wan2.1-Fun-14B-InP-Q8_0.gguf
17.7 GB
- Xet hash:
- 803a730f9cb9454b5b3f391cf9bab64ca7a534f8ddf47ed62d4601db53cfaa33
- Size of remote file:
- 17.7 GB
- SHA256:
- 8f0c4255496dcaa03fb8a0b42ca3931363f461e9dfc4c857257bdf5044947c24
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