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 /FLUX /svdq-int4_r32-flux.1-dev-colossusv12.safetensors
- Xet hash:
- 039208e3e723d0614d90927647c3361015cbf8db18cf207d7568c196e5f37d2c
- Size of remote file:
- 6.77 GB
- SHA256:
- 24dc349e1479ef676dbdf3bb0468dc57080428040f831bf3d42e6adc86f9dd6e
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