Lightricks
/

LTX-2

@@ -1,5 +1,117 @@
----
-license: other
-license_name: ltx-2-open-weights-license
-license_link: https://static.lightricks.com/legal/ltx-2-open-weights-license-0.X.pdf
----

+---
+pipeline_tag: image-to-video
+tags:
+- image-to-video
+- text-to-video
+- video-to-video
+- image-text-to-video
+- audio-to-video
+- text-to-audio
+- video-to-audio
+- audio-to-audio
+- text-to-audio-video
+- image-to-audio-video
+- image-text-to-audio-video
+- ltx-2
+- ltx-video
+- ltxv
+- lightricks
+pinned: true
+language:
+- en
+- de
+- es
+- fr
+- ja
+- ko
+- zh
+- it
+- pt
+license: other
+license_name: ltx-2-open-weights-license
+license_link: https://static.lightricks.com/legal/ltx-2-open-weights-license-0.X.pdf
+library_name: diffusers
+demo: https://app.ltx.studio/ltx-2-playground/i2v
+---
+# LTX-2 Model Card
+This model card focuses on the LTX-2 model, codebase available [here](https://github.com/Lightricks/LTX-2).
+LTX-2 is a DiT-based audio-video foundation model designed to generate synchronized video and audio within a single model. It brings together the core building blocks of modern video generation, with open weights and a focus on practical, local execution.
+<img src="./media/trailer.gif" alt="trailer" width="512">
+# Model Checkpoints
+| Name                           | Notes                                                                                                          |
+|--------------------------------|----------------------------------------------------------------------------------------------------------------|
+| ltx-2-19b-dev                  | The full model, flexible and trainable in bf16                                                                 |
+| ltx-2-19b-dev-fp8              | The full model in fp8 quantization                                                                             |
+| ltx-2-19b-dev-fp4              | The full model in nvfp4 quantization                                                                           |
+| ltx-2-19b-distilled            | The distilled version of the full model, 8 steps, CFG=1                                                        |
+| ltx-2-19b-distilled-lora-384   | A LoRA version of the distilled model applicable to the full model                                             |
+| ltx-2-spatial-upscaler-x2-1.0  | An x2 spatial upscaler for the ltx-2 latents, used in multi stage (multiscale) pipelines for higher resolution |
+| ltx-2-temporal-upscaler-x2-1.0 | An x2 temporal upscaler for the ltx-2 latents, used in multi stage (multiscale) pipelines for higher FPS       |
+## Model Details
+- **Developed by:** Lightricks
+- **Model type:** Diffusion-based audio-video foundation model
+- **Language(s):** English
+# Online demo
+LTX-2 is accessible right away via the following links:
+- [LTX-Studio text-to-video](https://app.ltx.studio/ltx-2-playground/t2v)
+- [LTX-Studio image-to-video](https://app.ltx.studio/ltx-2-playground/i2v)
+# Run locally
+## Direct use license
+You can use the models - full, distilled, upscalers and any derivatives of the models - for purposes under the [license](https://static.lightricks.com/legal/ltx-2-open-weights-license-0.X.pdf).
+## ComfyUI
+We recommend you use the built-in LTXVideo nodes that can be found in the ComfyUI Manager.
+For manual installation information, please refer to our [documentation site](https://docs.ltx.video/open-source-model/integration-tools/comfy-ui).
+## PyTorch codebase
+The [LTX-2 codebase](https://github.com/Lightricks/LTX-2) is a monorepo with several packages. From model definition in 'ltx-core' to pipelines in 'ltx-pipelines' and training capabilities in 'ltx-trainer'.
+The codebase was tested with Python >=3.12, CUDA version >12.7, and supports PyTorch ~= 2.7.
+### Installation
+```bash
+git clone https://github.com/Lightricks/LTX-2.git
+cd LTX-2
+# From the repository root
+uv sync
+source .venv/bin/activate
+```
+### Inference
+To use our model, please follow the instructions in our [ltx-pipelines](https://github.com/Lightricks/LTX-2/blob/main/packages/ltx-pipelines/README.md) package.
+## Diffusers 🧨
+LTX-2 is supported in the [Diffusers Python library](https://huggingface.co/docs/diffusers/main/en/index) for image-to-video generation.
+## General tips:
+* Width & height settings must be divisible by 32. Frame count must be divisible by 8 + 1.
+* In case the resolution or number of frames are not divisible by 32 or 8 + 1, the input should be padded with -1 and then cropped to the desired resolution and number of frames.
+* For tips on writing effective prompts, please visit our [Prompting guide](https://ltx.video/blog/how-to-prompt-for-ltx-2)
+### Limitations
+- This model is not intended or able to provide factual information.
+- As a statistical model this checkpoint might amplify existing societal biases.
+- The model may fail to generate videos that matches the prompts perfectly.
+- Prompt following is heavily influenced by the prompting-style.
+- The model may generate content that is inappropriate or offensive.
+- When generating audio without speech, the audio may be of lower quality.
+## Image-to-video examples
+| | | |
+|:---:|:---:|:---:|
+| ![example1](./media/ltx-video_i2v_example_00001.gif) | ![example2](./media/ltx-video_i2v_example_00002.gif) | ![example3](./media/ltx-video_i2v_example_00003.gif) |
+| ![example4](./media/ltx-video_i2v_example_00004.gif) | ![example5](./media/ltx-video_i2v_example_00005.gif) |  ![example6](./media/ltx-video_i2v_example_00006.gif) |
+| ![example7](./media/ltx-video_i2v_example_00007.gif) |  ![example8](./media/ltx-video_i2v_example_00008.gif) | ![example9](./media/ltx-video_i2v_example_00009.gif) |