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
File size: 409 Bytes
3f43040 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | {
"marker_version": 1,
"base_repo_id": "optimum-intel-internal-testing/tiny-random-ltx2.5",
"base_revision": "5e56afb1e7f81f48e6d2aeaf0f3acb55fc4cf68e",
"source_model_id": "Lightricks/LTX-2.5-Diffusers",
"enhancer_repo_id": "optimum-intel-internal-testing/tiny-random-gemma4",
"seed": 42,
"duration_head": {
"pooler_hidden_dim": 16,
"num_pooler_heads": 2,
"mlp_hidden_dim": 16
}
}
|