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
Download duration_head/config.json from optimum-intel-internal-testing/tiny-random-ltx2.5: direct link, hf CLI and curl.
- Browser
- Download file 240 Bytes
-
https://huggingface.co/optimum-intel-internal-testing/tiny-random-ltx2.5/resolve/main/duration_head/config.json
- Command line
-
hf download hf://optimum-intel-internal-testing/tiny-random-ltx2.5/duration_head/config.json
-
curl -L -o config.json https://huggingface.co/optimum-intel-internal-testing/tiny-random-ltx2.5/resolve/main/duration_head/config.json
240 Bytes
| { | |
| "_class_name": "LTX2DurationHead", | |
| "_diffusers_version": "0.40.0", | |
| "audio_cross_attention_dim": 32, | |
| "mlp_hidden_dim": 16, | |
| "num_pooler_heads": 2, | |
| "num_queries": 1, | |
| "pooler_hidden_dim": 16, | |
| "video_cross_attention_dim": 32 | |
| } | |