LTX Video ICLoRA Canny 13B 0.9.7
This is a canny control model on top of LTXV_13B_097_DEV
trained on custom data.
What is In-Context LoRA (IC LoRA)?
IC LoRA is a method that enables adding video context into the video generation process. This approach allows for video-to-video control on top of the text-to-video model, providing more precise control over the generated content by conditioning the model on reference video frames during inference.
comfy compatible model: ltxv-097-ic-lora-canny-control-comfyui.safetensors
diffusers compatible model:ltxv-097-ic-lora-canny-control-diffusers.safetensors
License
For licensing information, please refer to the LTXV Open Weights License.
Model Details
- Base Model:
LTXV_13B_097_DEV
- Training Type: IC LoRA training
- Learning Rate: 0.0002
Sample Outputs
Usage
This model is designed to be used with the LTXV (Lightricks Text-to-Video) pipeline.
π Using Trained LoRAs in ComfyUI
In order to use the trained lora in comfy:
- Copy the comfyui trained LoRA weights to the
models/loras
folder in your ComfyUI installation. - Use ic_lora/ic-lora.json from official LTXV ComfyUI repository
Dataset
https://huggingface.co/datasets/Lightricks/Canny-Control-Dataset/
Acknowledgments
- Base model by Lightricks
- Training infrastructure: LTX-Video-Trainer
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