| --- |
| license: other |
| license_name: ltx-2-community-license |
| license_link: https://www.github.com/Lightricks/LTX-2/LICENSE |
|
|
| tags: |
| - ltx-video |
| - image-to-video |
| - text-to-video |
| pinned: true |
| language: |
| - en |
| pipeline_tag: text-to-video |
| base_model: |
| - Lightricks/LTX-2 |
| --- |
| |
| # LTX-2 19B IC-LoRA Depth Control |
|
|
| This is a Depth control IC-LoRA trained on top of **LTX-2-19b**, enabling geometry-aware and structure-preserving video generation from text and reference frames. |
|
|
| ## What is In-Context LoRA (IC LoRA)? |
|
|
| IC LoRA enables conditioning video generation on reference video frames at inference time, allowing fine-grained video-to-video control on top of a text-to-video base model. |
| It also enables image-to-video generation and audio-visual output when supported by the pipeline. |
|
|
| ## Model Files |
|
|
| `ltx-2-19b-ic-lora-depth-control.safetensors` |
|
|
| ## License |
|
|
| See the **LTX-2-community-license** for full terms. |
|
|
| ## Model Details |
|
|
| - **Base Model:** LTX-2-19b Video |
| - **Training Type:** IC LoRA |
| - **Control Type:** Depth conditioning |
|
|
| ### 🔌 Using in ComfyUI |
| 1. Copy the LoRA weights into `models/loras`. |
| 2. Use the official IC-LoRA workflow from the LTX-2 ComfyUI repository. |
|
|
| ## Acknowledgments |
|
|
| - Base model by **Lightricks** |
| - Training infrastructure: **LTX-2 Community Trainer** |
