Instructions to use RuneXX/LTX-2.3-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-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-Workflows --local-dir models/LTX-2.3-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-Workflows/<distilled-checkpoint>.safetensors \ --spatial-upsampler-path models/LTX-2.3-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-Workflows/<checkpoint>.safetensors \ --distilled-lora models/LTX-2.3-Workflows/<distilled-lora>.safetensors 0.8 \ --spatial-upsampler-path models/LTX-2.3-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
Id lora with reference image and audio
Hello, I'm trying to use the LTX-2.3_-_I2V_T2V_Basic_ID-Lora_reference_audio workflow. I want to maintain the exact same character from my reference image throughout the generated video. Is there a way to do that?
The ID-Lora is for the voice (only).
Unfortunately all video models do lose a bit of facial consistency over time.
There is a new lora that might help, I didnt try it yet, but seems to aim at helping character consistency
https://huggingface.co/elix3r/LTX-2.3-22b-AV-LoRA-talking-head
I'll try that lora soon ;-)
Other remedies can be to start with a close up face portrait as first frame, and also use the latent reference image node to guide (but i think that node is already in use in the workflow, i'll check)
a quick test run with the talking head lora. Didnt do a 1-1 comparison, but perhaps it helps a bit
oh great i'll try it out thanks alot!