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 /loras /WAN2.2 /Wan2.2-Lightning_I2V-A14B-4steps-lora_HIGH_fp16.safetensors
- Xet hash:
- 2432422d8ca66bd205b8089ed9fdcb6e2e56c7f2fe1f614c4ea191baf6e86a35
- Size of remote file:
- 614 MB
- SHA256:
- 216cce62ecb5687d55fdc035b1cdbea01d1a9a8100ee924d2155cf1d64f1050b
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