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-Camera-HighNoise-14B-Q3_K_S.gguf
- Xet hash:
- c558c8c939cfcdc34676ce0f96d92402780c56466a32949092e2396d89f13641
- Size of remote file:
- 7.53 GB
- SHA256:
- 98e0fd77394b12b6d6029c4ff538757df1450e60bb4e35f3e8f7c83cb84218dc
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