|
|
--- |
|
|
tags: |
|
|
- ltx-video |
|
|
- image-to-video |
|
|
- text-to-video |
|
|
pinned: true |
|
|
language: |
|
|
- en |
|
|
license: other |
|
|
pipeline_tag: text-to-video |
|
|
library_name: diffusers |
|
|
datasets: |
|
|
- Lightricks/Canny-Control-Dataset |
|
|
base_model: |
|
|
- Lightricks/LTX-Video-0.9.7-dev |
|
|
--- |
|
|
|
|
|
# LTX Video ICLoRA Canny 13B 0.9.7 |
|
|
|
|
|
This is a canny 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-canny-control-comfyui.safetensors](https://huggingface.co/Lightricks/LTX-Video-ICLoRA-canny-13b-0.9.7/blob/main/ltxv-097-ic-lora-canny-control-comfyui.safetensors) |
|
|
|
|
|
|
|
|
diffusers compatible model:[ltxv-097-ic-lora-canny-control-diffusers.safetensors](https://huggingface.co/Lightricks/LTX-Video-ICLoRA-canny-13b-0.9.7/blob/main/ltxv-097-ic-lora-canny-control-diffusers.safetensors) |
|
|
|
|
|
## License |
|
|
|
|
|
For licensing information, please refer to the [LTXV Open Weights License](LTX-Video-Open-Weights-License-0.X.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 |
|
|
|
|
|
|
|
|
| | |
|
|
|:---:| |
|
|
|  | |
|
|
|
|
|
## 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/ic-lora.json from [official LTXV ComfyUI repository](https://github.com/Lightricks/ComfyUI-LTXVideo) |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
## Dataset |
|
|
https://huggingface.co/datasets/Lightricks/Canny-Control-Dataset/ |
|
|
|
|
|
## Acknowledgments |
|
|
|
|
|
- Base model by [Lightricks](https://huggingface.co/Lightricks) |
|
|
- Training infrastructure: [LTX-Video-Trainer](https://github.com/Lightricks/ltx-video-trainer) |
