upload model card (#4)

- upload model card (2f287c06db202fcda3888bf533b5f3760fae10be)


Co-authored-by: ken korem <[email protected]>

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LTX-Video-ICLoRA-depth-13b-0.9.7.txt

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+LTX-Video-ICLoRA-depth-13b-0.9.7 (�LTXV�)
+

README.md

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+---
+tags:
+- ltx-video
+- image-to-video
+pinned: true
+language:
+- en
+license: other
+pipeline_tag: text-to-video
+library_name: diffusers
+---
+
+# LTX Video ICLoRA Depth 13B 0.9.7
+
+This is a depth control model on top of [`LTXV_13B_097_DEV`](https://huggingface.co/Lightricks/LTX-Video/blob/main/ltxv-13b-0.9.7-dev.safetensors) 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](https://huggingface.co/Lightricks/LTX-Video-ICLoRA-depth-13b-0.9.7/blob/main/ltxv-097-ic-lora-depth-control-comfyui.safetensors)
+
+
+diffusers compatible model:[ltxv-097-ic-lora-depth-control-diffusers.safetensors](https://huggingface.co/Lightricks/LTX-Video-ICLoRA-depth-13b-0.9.7/blob/main/ltxv-097-ic-lora-depth-control-diffusers.safetensors)
+
+## License
+
+For licensing information, please refer to the [LTXV Open Weights License](LTX-Video-ICLoRA-depth-13b-0.9.7.txt).
+## Model Details
+
+- **Base Model:** [`LTXV_13B_097_DEV`](https://huggingface.co/Lightricks/LTX-Video/blob/main/ltxv-13b-0.9.7-dev.safetensors)
+- **Training Type:** IC LoRA training
+- **Learning Rate:** 0.0002
+
+## Sample Outputs
+
+
+| | | |
+|:---:|:---:|:---:|
+| ![example1](./samples/sample_0.gif) | ![example2](./samples/sample_1.gif) | ![example3](./samples/sample_2.gif) |
+
+## 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](https://github.com/Lightricks/ComfyUI-LTXVideo)
+
+
+
+
+
+
+## Acknowledgments
+
+- Base model by [Lightricks](https://huggingface.co/Lightricks)
+- Training infrastructure: [LTX-Video-Trainer](https://github.com/Lightricks/ltx-video-trainer)