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
Download text_encoder/generation_config.json from optimum-intel-internal-testing/tiny-random-ltx2: direct link, hf CLI and curl.
- Browser
- Download file 270 Bytes
-
https://huggingface.co/optimum-intel-internal-testing/tiny-random-ltx2/resolve/main/text_encoder/generation_config.json
- Command line
-
hf download hf://optimum-intel-internal-testing/tiny-random-ltx2/text_encoder/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/optimum-intel-internal-testing/tiny-random-ltx2/resolve/main/text_encoder/generation_config.json
270 Bytes
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 2, | |
| "cache_implementation": "hybrid", | |
| "eos_token_id": [ | |
| 1, | |
| 106 | |
| ], | |
| "output_attentions": false, | |
| "output_hidden_states": false, | |
| "pad_token_id": 0, | |
| "transformers_version": "5.0.0", | |
| "use_cache": true | |
| } | |