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
File size: 526 Bytes
7f9923e 2f6001f c5602d8 a0f44bd 7f9923e a0f44bd 7f9923e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | {
"model_id": "optimum-intel-internal-testing/tiny-random-ltx2",
"model_class": "OVLTX2Pipeline",
"transformers_version": "5.10.4",
"optimum_intel_version": "2.3.0.dev0+3329b15b",
"openvino_version": "2026.5.0-23311-786052d995f",
"generated_date": "2026-10-01",
"components": [
"audio_vae_decoder/openvino_model.xml",
"connectors/openvino_model.xml",
"text_encoder/openvino_model.xml",
"transformer/openvino_model.xml",
"vae_decoder/openvino_model.xml",
"vocoder/openvino_model.xml"
]
} |