Instructions to use RuneXX/LTX-2.3-2.5-Workflows with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LTX.io
How to use RuneXX/LTX-2.3-2.5-Workflows with LTX.io:
# Install the LTX-2 pipelines git clone https://github.com/Lightricks/LTX-2.git cd LTX-2 uv sync --frozen
# Download the weights from this repo, plus the Gemma text encoder hf download RuneXX/LTX-2.3-2.5-Workflows --local-dir models/LTX-2.3-2.5-Workflows hf download google/gemma-3-12b-it-qat-q4_0-unquantized --local-dir models/gemma-3-12b
# Fast pipeline (distilled model, no distilled LoRA needed) uv run python -m ltx_pipelines.distilled \ --distilled-checkpoint-path models/LTX-2.3-2.5-Workflows/<distilled-checkpoint>.safetensors \ --spatial-upsampler-path models/LTX-2.3-2.5-Workflows/<spatial-upsampler>.safetensors \ --gemma-root models/gemma-3-12b \ --prompt "A beautiful sunset over the ocean" \ --output-path output.mp4 # For image-to-video, add: --image path/to/image.jpg 0 0.8# HQ pipeline (two-stage, higher quality) uv run python -m ltx_pipelines.ti2vid_two_stages_hq \ --checkpoint-path models/LTX-2.3-2.5-Workflows/<checkpoint>.safetensors \ --distilled-lora models/LTX-2.3-2.5-Workflows/<distilled-lora>.safetensors 0.8 \ --spatial-upsampler-path models/LTX-2.3-2.5-Workflows/<spatial-upsampler>.safetensors \ --gemma-root models/gemma-3-12b \ --prompt "A beautiful sunset over the ocean" \ --output-path output.mp4 # For image-to-video, add: --image path/to/image.jpg 0 0.8 - Notebooks
- Google Colab
- Kaggle
I'm having some issues with your workflow for image to video.
When I try to generate long videos, such as 30-second videos, the last few frames of the video are usually problematic, with severe artifacts. Like this:
Regular Image to video workflow? LTX-2 is made for 10-15 second videos or so.
If you go far beyond that, things will get strange, model is not trained for that
(you can try my other workflow for long video, that works differently, by rendering 10-15 seconds videos and then another and another, and sticking them together seamlessly)
Or if you did use the long video workflow, try different seed in the group that caused issues.
There will be glitches from time to time, i seen that too, mostly big titles on screen...
Its a bit of an experimental workflow, will see if anything can be improved upon ;-)
Thanks, I'll try it.
What happen? How can I solve this problem?
It could also be the upscaler.
LTX released a new version of the spatial upscaler, version 1.1 to fix some of this issue at longer videos.
I havent tested yet, but do give it a try ;-)
Yeah! I tried the new spatial upscaler model, and this problem has been solved.
ah good good ;-)
