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_fp4.safetensors from Rin247/LTX-2.5-Diffusers: direct link, hf CLI and curl.
- Browser
- Download file 236 MB
-
https://huggingface.co/Rin247/LTX-2.5-Diffusers/resolve/main/diffusion_decoder/ltx_2.5_diffusers_fp4.safetensors
- Command line
-
hf download hf://Rin247/LTX-2.5-Diffusers/diffusion_decoder/ltx_2.5_diffusers_fp4.safetensors
-
curl -L -o ltx_2.5_diffusers_fp4.safetensors https://huggingface.co/Rin247/LTX-2.5-Diffusers/resolve/main/diffusion_decoder/ltx_2.5_diffusers_fp4.safetensors
236 MB
- Xet hash:
- c047b4c3b029a9d43a738ee37f94a366b699fe2164dc583ddcb4a56350882b55
- Size of remote file:
- 236 MB
- SHA256:
- d4fbdf1d0ac747598fda2501546e15d7dbc672d8e5814f708e876a983dd079d2
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