Image-to-Video
Diffusion Single File
text-to-video
video-to-video
image-text-to-video
audio-to-video
text-to-audio
video-to-audio
audio-to-audio
text-to-audio-video
image-to-audio-video
image-text-to-audio-video
ltx-video
lightricks
comfyui
ltx-2.5
Instructions to use Lightricks/LTX-2.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusion Single File
How to use Lightricks/LTX-2.5 with Diffusion Single File:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Request: fp16 (not just bf16) full-precision transformer file
#13
by savitarTheGod - opened
Thanks for the LTX-2.5 release!
Currently diffusion_models only offers bf16 for full precision (ltx-2.5-22b-dev-transformer-bf16.safetensors), plus the comfy-int8-convrot and nvfp4 quantized variants. Turing-generation GPUs (RTX 20-series, e.g. 2080 Ti) don't have native bf16 tensor core support β that was introduced with Ampere. On these cards bf16 falls back to a slower path, while fp16 gets full tensor core acceleration.
Would it be possible to also publish an fp16 version of the transformer (dev and/or distilled) alongside the existing bf16 file? This would let older-generation GPU owners run full precision without the int8/nvfp4 quality tradeoff.