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 vae_decoder/openvino_model.bin from optimum-intel-internal-testing/tiny-random-ltx2.5: direct link, hf CLI and curl.
- Browser
- Download file 925 kB
-
https://huggingface.co/optimum-intel-internal-testing/tiny-random-ltx2.5/resolve/ov/vae_decoder/openvino_model.bin
- Command line
-
hf download hf://optimum-intel-internal-testing/tiny-random-ltx2.5@ov/vae_decoder/openvino_model.bin
-
curl -L -o openvino_model.bin https://huggingface.co/optimum-intel-internal-testing/tiny-random-ltx2.5/resolve/ov/vae_decoder/openvino_model.bin
925 kB
- Xet hash:
- e63d88f0aa25426f17e8a467317fee9022e8d5ed0573e54d2f009be3e85c70d6
- Size of remote file:
- 925 kB
- SHA256:
- 7efa86ff89e0b5bcc28757545c9af3a4c44cab29df15a445844a020903bbd3e6
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