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-InP-LowNoise-14B-Q8_0.gguf
Download models/diffusion_models/WAN/Wan2.2-Fun-InP-LowNoise-14B-Q8_0.gguf from UmeAiRT/ComfyUI-Auto-Installer-Assets: direct link, hf CLI and curl.
- Browser
- Download file 15.4 GB
-
https://huggingface.co/UmeAiRT/ComfyUI-Auto-Installer-Assets/resolve/0197b94fa96fbcf8522c4646499a6c99c832d8b8/models/diffusion_models/WAN/Wan2.2-Fun-InP-LowNoise-14B-Q8_0.gguf
- Command line
-
hf download hf://UmeAiRT/ComfyUI-Auto-Installer-Assets@0197b94fa96fbcf8522c4646499a6c99c832d8b8/models/diffusion_models/WAN/Wan2.2-Fun-InP-LowNoise-14B-Q8_0.gguf
-
curl -L -o Wan2.2-Fun-InP-LowNoise-14B-Q8_0.gguf https://huggingface.co/UmeAiRT/ComfyUI-Auto-Installer-Assets/resolve/0197b94fa96fbcf8522c4646499a6c99c832d8b8/models/diffusion_models/WAN/Wan2.2-Fun-InP-LowNoise-14B-Q8_0.gguf
15.4 GB
- Xet hash:
- bcc22f94f2a8bdcede2ec959d5a62bb9b9a0a744ec5c0c58cb5c6f251e54f269
- Size of remote file:
- 15.4 GB
- SHA256:
- 64cd19132b76acfa6e5afcd4a0dceb9c43e9f33a2757a7791030090788b3e077
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