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 /QWEN /svdq-int4_r32-qwen-image.safetensors
- Xet hash:
- 951f176349dd9fb6534121957c2017cf14cffec494f8ea2a3c5ff2bfbf24386d
- Size of remote file:
- 11.5 GB
- SHA256:
- 1af39f56749fd11862daa50d58b79688025b4e14f75c342d361bd0aa7d6836c8
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