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-T2V-14B-Q8_0.gguf from UmeAiRT/ComfyUI-Auto-Installer-Assets: direct link, hf CLI and curl.
- Browser
- Download file 15.9 GB
-
https://huggingface.co/UmeAiRT/ComfyUI-Auto-Installer-Assets/resolve/73b7161c2aa8e18def568ce25c247db38f422f88/models/diffusion_models/WAN/Wan2.1-T2V-14B-Q8_0.gguf
- Command line
-
hf download hf://UmeAiRT/ComfyUI-Auto-Installer-Assets@73b7161c2aa8e18def568ce25c247db38f422f88/models/diffusion_models/WAN/Wan2.1-T2V-14B-Q8_0.gguf
-
curl -L -o Wan2.1-T2V-14B-Q8_0.gguf https://huggingface.co/UmeAiRT/ComfyUI-Auto-Installer-Assets/resolve/73b7161c2aa8e18def568ce25c247db38f422f88/models/diffusion_models/WAN/Wan2.1-T2V-14B-Q8_0.gguf
15.9 GB
- Xet hash:
- f8109c03162381cbf466eb183f2dd7d21a05813b586ab4bf671ea7dff348ea0b
- Size of remote file:
- 15.9 GB
- SHA256:
- cd4f1cc5cd4b63f25898340e997d6299984114e8755be5407bc585a1e0ec9f38
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