Automated PR - 2026-01-05

2026-01-05 20:10:38 +00:00
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+---
+tags:
+  - ltx-2
+  - ltx-video
+  - text-to-video
+  - audio-video
+pinned: true
+language:
+  - en
+license: other
+pipeline_tag: text-to-video
+library_name: diffusers
+---
+
+# {model_name}
+
+This is a fine-tuned version of [`{base_model}`]({base_model_link}) trained on custom data.
+
+## Model Details
+
+- **Base Model:** [`{base_model}`]({base_model_link})
+- **Training Type:** {training_type}
+- **Training Steps:** {training_steps}
+- **Learning Rate:** {learning_rate}
+- **Batch Size:** {batch_size}
+
+## Sample Outputs
+
+| | | | |
+|:---:|:---:|:---:|:---:|
+{sample_grid}
+
+## Usage
+
+This model is designed to be used with the LTX-2 (Lightricks Audio-Video) pipeline.
+
+### 🔌 Using Trained LoRAs in ComfyUI
+
+In order to use the trained LoRA in ComfyUI, follow these steps:
+
+1. Copy your trained LoRA checkpoint (`.safetensors` file) to the `models/loras` folder in your ComfyUI installation.
+2. In your ComfyUI workflow:
+    - Add the "Load LoRA" node to choose your LoRA file
+    - Connect it to the "Load Checkpoint" node to apply the LoRA to the base model
+
+You can find reference Text-to-Video (T2V) and Image-to-Video (I2V) workflows in the
+official [LTX-2 repository](https://github.com/Lightricks/LTX-2).
+
+### Example Prompts
+
+{validation_prompts}
+
+
+This model inherits the license of the base model ([`{base_model}`]({base_model_link})).
+
+## Acknowledgments
+
+- Base model: [Lightricks](https://huggingface.co/Lightricks/LTX-2)
+- Trainer: [LTX-2](https://github.com/Lightricks/LTX-2)