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 processor/tokenizer.json from optimum-intel-internal-testing/tiny-random-ltx2.5: direct link, hf CLI and curl.
- Browser
- Download file 32.2 MB
-
https://huggingface.co/optimum-intel-internal-testing/tiny-random-ltx2.5/resolve/main/processor/tokenizer.json
- Command line
-
hf download hf://optimum-intel-internal-testing/tiny-random-ltx2.5/processor/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/optimum-intel-internal-testing/tiny-random-ltx2.5/resolve/main/processor/tokenizer.json
32.2 MB
- Xet hash:
- c62336ad134cad6f154d84eb0e5a5fa9ca17cd665ef3ba5ac4fd02b1486760b4
- Size of remote file:
- 32.2 MB
- SHA256:
- cc8d3a0ce36466ccc1278bf987df5f71db1719b9ca6b4118264f45cb627bfe0f
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