Instructions to use optimum-intel-internal-testing/tiny-random-ltx2.3 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-ltx2.3 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-ltx2.3", 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: 219 Bytes
a445c41 | 1 2 3 4 5 6 7 8 9 10 11 | {
"backend": "tokenizers",
"bos_token": "<bos>",
"eos_token": "<eos>",
"mask_token": "<mask>",
"model_max_length": 1024,
"pad_token": "<pad>",
"tokenizer_class": "GemmaTokenizer",
"unk_token": "<unk>"
}
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