Instructions to use optimum-intel-internal-testing/tiny-random-ltx2 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 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", 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
Commit History
6 days ago
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Add reference OpenVINO IRs
Generated with: - transformers==5.10.4 - optimum-intel==2.3.0.dev0+1bf72b96 - openvino==2026.5.0-23376 (#2) - Add reference OpenVINO IRs (1d5e3487015a7e190d276a69dc95d7e6729abb37)3d0e991
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Add reference OpenVINO IRs
Verified signatureGenerated with: - transformers==5.5.4 - optimum-intel==2.1.0.dev0+aaa6e0e1 - openvino==2026.3.0-22451-8a17657b995-releases/2026/37f9923e