Instructions to use Efficient-Large-Model/LTX-2.3-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Efficient-Large-Model/LTX-2.3-Diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Efficient-Large-Model/LTX-2.3-Diffusers", 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 vocoder/diffusion_pytorch_model.safetensors from Efficient-Large-Model/LTX-2.3-Diffusers: direct link, hf CLI and curl.
- Browser
- Download file 258 MB
-
https://huggingface.co/Efficient-Large-Model/LTX-2.3-Diffusers/resolve/main/vocoder/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://Efficient-Large-Model/LTX-2.3-Diffusers/vocoder/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/Efficient-Large-Model/LTX-2.3-Diffusers/resolve/main/vocoder/diffusion_pytorch_model.safetensors
258 MB
- Xet hash:
- 6e12dbdaa5464d871247ab0627c52c8db54405eff938124fd47eb26f98e26080
- Size of remote file:
- 258 MB
- SHA256:
- c99dde145a982974bc4c39608b3b929f232f0126a55d8326a47ad54f486ae23c
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