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 /text_encoders /LTX-2 /ltx-2-19b-embeddings_connector_dev_bf16.safetensors
- Xet hash:
- 376ebae3499e5159c20a58c783301dde697f395ab65783e2351a9bde9d6dcc4b
- Size of remote file:
- 2.86 GB
- SHA256:
- 55781d7d90b63032a035b8e2efcd249629e8215305b1fc6f5ccfbf95f700fcc6
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