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
Download vae/diffusion_pytorch_model.safetensors from OzzyGT/tiny_LTX2: direct link, hf CLI and curl.
- Browser
- Download file 778 kB
-
https://huggingface.co/OzzyGT/tiny_LTX2/resolve/main/vae/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://OzzyGT/tiny_LTX2/vae/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/OzzyGT/tiny_LTX2/resolve/main/vae/diffusion_pytorch_model.safetensors
778 kB
- Xet hash:
- 17b964ac99f74a5f3add45b8786c0361ac94989b79161f5f52382aa5d7ee61ad
- Size of remote file:
- 778 kB
- SHA256:
- 0291ee2b34c08e6bd93aab7a4cbc63cc0e41dd10e7e721e4e1f6cbd8e574d292
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