Instructions to use optimum-intel-internal-testing/tiny-random-ltx2.3 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-ltx2.3 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-ltx2.3", 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-ltx2.3: direct link, hf CLI and curl.
- Browser
- Download file 205 kB
-
https://huggingface.co/optimum-intel-internal-testing/tiny-random-ltx2.3/resolve/ov/text_encoder/openvino_model.bin
- Command line
-
hf download hf://optimum-intel-internal-testing/tiny-random-ltx2.3@ov/text_encoder/openvino_model.bin
-
curl -L -o openvino_model.bin https://huggingface.co/optimum-intel-internal-testing/tiny-random-ltx2.3/resolve/ov/text_encoder/openvino_model.bin
205 kB
- Xet hash:
- 25114f6e6fbe05b9e634280a0e6154d65fc86514d9ad1a8ff2d85c71935c5a35
- Size of remote file:
- 205 kB
- SHA256:
- 794f86239b1c141785099aba4923b74d3d86b643757cb30393597269f07c19e6
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