Instructions to use Rin247/LTX-2.5-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Rin247/LTX-2.5-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("Rin247/LTX-2.5-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 diffusion_decoder/ltx_2.5_diffusers_int8.safetensors from Rin247/LTX-2.5-Diffusers: direct link, hf CLI and curl.
- Browser
- Download file 419 MB
-
https://huggingface.co/Rin247/LTX-2.5-Diffusers/resolve/main/diffusion_decoder/ltx_2.5_diffusers_int8.safetensors
- Command line
-
hf download hf://Rin247/LTX-2.5-Diffusers/diffusion_decoder/ltx_2.5_diffusers_int8.safetensors
-
curl -L -o ltx_2.5_diffusers_int8.safetensors https://huggingface.co/Rin247/LTX-2.5-Diffusers/resolve/main/diffusion_decoder/ltx_2.5_diffusers_int8.safetensors
419 MB
- Xet hash:
- 9e19b8c3ded714a8b26fa536bde8c46197d84e2b4eae8f89fa0b3d98cd87a454
- Size of remote file:
- 419 MB
- SHA256:
- 5e0f207ebb779d67b041ca983f8bf8dc63c33dae743496dbdb8cce480aa0d624
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