Instructions to use OzzyGT/tiny_LTX2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use OzzyGT/tiny_LTX2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("OzzyGT/tiny_LTX2", 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
- Xet hash:
- 9f7fd2948dd61651f81e48b27e41ef96c120451b7ce303d70b13580d5e1b3024
- Size of remote file:
- 34 MB
- SHA256:
- f0424d56c3c5c87a94610b6d470521136eccba1493d1606281abe646f2d3bd13
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