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_fp8.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_fp8.safetensors
- Command line
-
hf download hf://Rin247/LTX-2.5-Diffusers/diffusion_decoder/ltx_2.5_diffusers_fp8.safetensors
-
curl -L -o ltx_2.5_diffusers_fp8.safetensors https://huggingface.co/Rin247/LTX-2.5-Diffusers/resolve/main/diffusion_decoder/ltx_2.5_diffusers_fp8.safetensors
419 MB
- Xet hash:
- a6a05ef4cde7e252e7238e1a68de79d7dcf5ad51c5a35364db59000a0185bfad
- Size of remote file:
- 419 MB
- SHA256:
- 8df1fa505a22d7bafaaf64c661c4bc64a2da076e46fb5e6bf2de901feb5591a8
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