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 /LTX-2 /ltx-2.3-22b-distilled-lora-384-1.1.safetensors
- Xet hash:
- fca5735c41013042a3a32d0d2829e403a5c8b094dbe01312d9d21da0db47dac9
- Size of remote file:
- 7.61 GB
- SHA256:
- f5d4953f3386197a4b4f5abdb17616ff256171e8075c111d6e7d2dfa6e823b3a
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