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 /flux1-kontext-dev-fp8-e4m3fn.safetensors
- Xet hash:
- d21ca3e796ea2d202d4de4cb02ab4d9074d2e004e3b3e4d1edfb4c1d2e3800cb
- Size of remote file:
- 11.9 GB
- SHA256:
- e7c137d2a8c3d1a7765fc7538f0744eee8f3c58863226124e066c8b781c170df
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