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-LowNoise-14B-Q8_0.gguf
- Xet hash:
- d48f46c1dd66dd3af72fe91beb8d93bff81971ab5318b0644652886638dd7623
- Size of remote file:
- 16.4 GB
- SHA256:
- bf1effa3988a4eaccb1d5ae9f87574fee95d64cecca223113bd5025e64464497
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