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 vae_decoder/openvino_model.bin from optimum-intel-internal-testing/tiny-random-ltx2: direct link, hf CLI and curl.
- Browser
- Download file 925 kB
-
https://huggingface.co/optimum-intel-internal-testing/tiny-random-ltx2/resolve/ov/vae_decoder/openvino_model.bin
- Command line
-
hf download hf://optimum-intel-internal-testing/tiny-random-ltx2@ov/vae_decoder/openvino_model.bin
-
curl -L -o openvino_model.bin https://huggingface.co/optimum-intel-internal-testing/tiny-random-ltx2/resolve/ov/vae_decoder/openvino_model.bin
925 kB
- Xet hash:
- bb9a2d646ded51e60037d0cb34521d4ce342cd4abe93b1bd50e696bd0479ebc4
- Size of remote file:
- 925 kB
- SHA256:
- be693971d7e8c27bd08c494c448d651330b64ede1775afa7b0121e066ac44107
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.