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-Q8_0.gguf
- Xet hash:
- 47e586d6b3d588282946a45a384fdd494338421339ed30120038a55d141095db
- Size of remote file:
- 16.4 GB
- SHA256:
- a65b1b58abb4fa62ab75d67bdb7b676f9b1138df753f70a56972e8cf0861057e
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