README.md

metadata

tags:
  - ltx-video
  - image-to-video
pinned: true
language:
  - en
license: other
pipeline_tag: text-to-video
library_name: diffusers

LTX Video 0.9.7 Depth Control

This is a depth 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-depth-control-comfyui.safetensors'

diffusers compatible model:'ltxv-097-ic-lora-depth-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.

🔌 Using Trained LoRAs in ComfyUI

In order to use the trained lora in comfy:

1. Copy the comfyui trained LoRA weights to the models/loras folder in your ComfyUI installation.
2. Use ic-lora-depth-control.json from official LTXV ComfyUI repository

Acknowledgments

• Base model by Lightricks
• Training infrastructure: LTX-Video-Trainer