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 audio_vae_decoder/openvino_model.bin from optimum-intel-internal-testing/tiny-random-ltx2: direct link, hf CLI and curl.
- Browser
- Download file 4.77 MB
-
https://huggingface.co/optimum-intel-internal-testing/tiny-random-ltx2/resolve/ov/audio_vae_decoder/openvino_model.bin
- Command line
-
hf download hf://optimum-intel-internal-testing/tiny-random-ltx2@ov/audio_vae_decoder/openvino_model.bin
-
curl -L -o openvino_model.bin https://huggingface.co/optimum-intel-internal-testing/tiny-random-ltx2/resolve/ov/audio_vae_decoder/openvino_model.bin
4.77 MB
- Xet hash:
- 1d0d8194fa811b9dab8c1938e6cf5cf5ea4af434dd8a096904c5c64935fb10ed
- Size of remote file:
- 4.77 MB
- SHA256:
- f7fc7487cf8e8ee84ce9e15d06cea49142d935bc8d3c7ef46d78a1ddff597eee
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