Instructions to use optimum-intel-internal-testing/tiny-random-ltx2.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use optimum-intel-internal-testing/tiny-random-ltx2.5 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("optimum-intel-internal-testing/tiny-random-ltx2.5", 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
Rebuild fixture with diffusers 0.40.0 (ff_bias, use_keyframes_abs_pos_embedding, use_prompt_adaln_single) for architecture fidelity with real LTX-2.5
5e56afb verified Download vae/diffusion_pytorch_model.safetensors from optimum-intel-internal-testing/tiny-random-ltx2.5: direct link, hf CLI and curl.
- Browser
- Download file 1.06 MB
-
https://huggingface.co/optimum-intel-internal-testing/tiny-random-ltx2.5/resolve/main/vae/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://optimum-intel-internal-testing/tiny-random-ltx2.5/vae/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/optimum-intel-internal-testing/tiny-random-ltx2.5/resolve/main/vae/diffusion_pytorch_model.safetensors
1.06 MB
- Xet hash:
- e2cd85b94bf57db7bf67271d5b2a438725f5ae668028f8a8aee5524ecf1486be
- Size of remote file:
- 1.06 MB
- SHA256:
- 23aa7e896e48f467bd088b00d4a95cee1efba97483b5b8ace3210e4a23f7fe93
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