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 text_encoder/model.safetensors from optimum-intel-internal-testing/tiny-random-ltx2.5: direct link, hf CLI and curl.
- Browser
- Download file 334 kB
-
https://huggingface.co/optimum-intel-internal-testing/tiny-random-ltx2.5/resolve/main/text_encoder/model.safetensors
- Command line
-
hf download hf://optimum-intel-internal-testing/tiny-random-ltx2.5/text_encoder/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/optimum-intel-internal-testing/tiny-random-ltx2.5/resolve/main/text_encoder/model.safetensors
334 kB
- Xet hash:
- 1b7f3228dde7da7eb0c1527d61c80426915de23940bee8d5ef9171b68a93be10
- Size of remote file:
- 334 kB
- SHA256:
- 3bd9fce60b59497ee7ba57267e92c4486a511e519fb89cdac5cb5380bb2f44ea
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