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 text_encoder/openvino_model.bin from optimum-intel-internal-testing/tiny-random-ltx2: direct link, hf CLI and curl.
- Browser
- Download file 205 kB
-
https://huggingface.co/optimum-intel-internal-testing/tiny-random-ltx2/resolve/ov/text_encoder/openvino_model.bin
- Command line
-
hf download hf://optimum-intel-internal-testing/tiny-random-ltx2@ov/text_encoder/openvino_model.bin
-
curl -L -o openvino_model.bin https://huggingface.co/optimum-intel-internal-testing/tiny-random-ltx2/resolve/ov/text_encoder/openvino_model.bin
205 kB
- Xet hash:
- af8ecc7519714ec0297d9514129a468b6d42c3dd5793177b40ca5bea7eba52a4
- Size of remote file:
- 205 kB
- SHA256:
- 03d8e2049bb056f4d4a6bf39404ac5430036b517862503d02bbad3961124a9b1
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