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 /gemma-3-12b-it-abliterated_lora_rank64_bf16.safetensors
- Xet hash:
- bcfa33923aa90d8be20775ddfd343bce7b0a19d8501a0a35e38e1b1d4fd280f6
- Size of remote file:
- 628 MB
- SHA256:
- 87bcabeac9bec9f374232b5122d6511c2b2112d479e50176149e944b3712eb4a
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