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_LOW_fp16.safetensors
- Xet hash:
- 866e1b7d63ba16c05e97f5cdc1d3d5b0975f97e636dc6dec6e475ffd894236c1
- Size of remote file:
- 614 MB
- SHA256:
- a3d474925042ec908c212c6c4c1e338637e27585c3970253f65b9638a9f5874b
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