Instructions to use vidfom/lt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use vidfom/lt with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("vidfom/lt", 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
Download .gitattributes from vidfom/lt: direct link, hf CLI and curl.
- Browser
- Download file 310 Bytes
-
https://huggingface.co/vidfom/lt/resolve/main/.gitattributes
- Command line
-
hf download hf://vidfom/lt/.gitattributes
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curl -L -o .gitattributes https://huggingface.co/vidfom/lt/resolve/main/.gitattributes
310 Bytes
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