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-HighNoise-14B-Q4_K_S.gguf
Download models/diffusion_models/WAN/Wan2.2-Fun-Control-HighNoise-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/a2c3629407cf47bf7a6ef36a5cf3a856c3f94bc0/models/diffusion_models/WAN/Wan2.2-Fun-Control-HighNoise-14B-Q4_K_S.gguf
- Command line
-
hf download hf://UmeAiRT/ComfyUI-Auto-Installer-Assets@a2c3629407cf47bf7a6ef36a5cf3a856c3f94bc0/models/diffusion_models/WAN/Wan2.2-Fun-Control-HighNoise-14B-Q4_K_S.gguf
-
curl -L -o Wan2.2-Fun-Control-HighNoise-14B-Q4_K_S.gguf https://huggingface.co/UmeAiRT/ComfyUI-Auto-Installer-Assets/resolve/a2c3629407cf47bf7a6ef36a5cf3a856c3f94bc0/models/diffusion_models/WAN/Wan2.2-Fun-Control-HighNoise-14B-Q4_K_S.gguf
8.76 GB
- Xet hash:
- 356c1982b4fa54a017f420d84990e88bc96ddbe58e3792990854cdf5cf903143
- Size of remote file:
- 8.76 GB
- SHA256:
- d5da46469d0a52cd69f27d94d92e7dbfda156916bb68b461638e3a915043bcca
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