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-Q3_K_S.gguf from UmeAiRT/ComfyUI-Auto-Installer-Assets: direct link, hf CLI and curl.
- Browser
- Download file 6.99 GB
-
https://huggingface.co/UmeAiRT/ComfyUI-Auto-Installer-Assets/resolve/0197b94fa96fbcf8522c4646499a6c99c832d8b8/models/diffusion_models/WAN/Wan2.1-T2V-14B-Q3_K_S.gguf
- Command line
-
hf download hf://UmeAiRT/ComfyUI-Auto-Installer-Assets@0197b94fa96fbcf8522c4646499a6c99c832d8b8/models/diffusion_models/WAN/Wan2.1-T2V-14B-Q3_K_S.gguf
-
curl -L -o Wan2.1-T2V-14B-Q3_K_S.gguf https://huggingface.co/UmeAiRT/ComfyUI-Auto-Installer-Assets/resolve/0197b94fa96fbcf8522c4646499a6c99c832d8b8/models/diffusion_models/WAN/Wan2.1-T2V-14B-Q3_K_S.gguf
6.99 GB
- Xet hash:
- 2bd7c8b77fcc2bcd63403a931a6748bd76217cd70aa122139a7205d52e920a30
- Size of remote file:
- 6.99 GB
- SHA256:
- 8ba3d788a2f815b35469cf1920b2cd8c8ce7d90521442f90b15dfc3af8c54ab1
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