Instructions to use Alissonerdx/LTX-LoRAs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LTX.io
How to use Alissonerdx/LTX-LoRAs 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 Alissonerdx/LTX-LoRAs --local-dir models/LTX-LoRAs hf download google/gemma-3-12b-it-qat-q4_0-unquantized --local-dir models/gemma-3-12b
# Text/image-to-video with the LoRA on the HQ two-stage base pipeline uv run python -m ltx_pipelines.ti2vid_two_stages_hq \ --checkpoint-path path/to/checkpoint.safetensors \ --distilled-lora path/to/distilled_lora.safetensors 0.8 \ --spatial-upsampler-path path/to/spatial_upsampler.safetensors \ --gemma-root models/gemma-3-12b \ --lora models/LTX-LoRAs/<weights>.safetensors 1.0 \ --prompt "your prompt here" \ --output-path output.mp4 # For image-to-video, add: --image path/to/image.jpg 0 0.8 - Notebooks
- Google Colab
- Kaggle
Training code
Hello, thanks for this great LoRA. Any chance you will release the training code that you used to create this LoRA? It will be great to be able to train or fine-tune the LoRA to work with the masks and videos that I have. Thank you!
Hello, thanks for this great LoRA. Any chance you will release the training code that you used to create this LoRA? It will be great to be able to train or fine-tune the LoRA to work with the masks and videos that I have. Thank you!
https://github.com/Lightricks/LTX-2/blob/main/packages/ltx-trainer/README.md
Thank you for your response. To help me better understand your training process…
What resolutions did you use for your training dataset?
Also, how did you select the masks and prompts for your training dataset?
Thank you.