;
};
## 1. Model Introduction
[LTX-2](https://huggingface.co/Lightricks/LTX-2) and [LTX-2.3](https://huggingface.co/Lightricks/LTX-2.3) are video generation models from Lightricks. SGLang Diffusion supports the LTX series through native one-stage and two-stage pipelines for text-to-video and image-conditioned video generation.
Use `Lightricks/LTX-2` or `Lightricks/LTX-2.3` as `--model-path`. For two-stage generation, SGLang uses the spatial upsampler and distilled LoRA components from the model snapshot by default. LTX-2.3 also supports the HQ two-stage variant.
**License notice:** LTX-2 and LTX-2.3 are released under the LTX-2 Community License Agreement, not Apache 2.0. The license includes commercial-use restrictions for some entities. Review the [official Lightricks license](https://huggingface.co/Lightricks/LTX-2.3/blob/main/LICENSE) before production or commercial use; SGLang support does not grant additional model usage rights.
## 2. SGLang-diffusion Installation
Install SGLang with diffusion dependencies:
```bash Command theme={null}
uv pip install "sglang[diffusion]" --prerelease=allow
```
For platform-specific setup, see the [SGLang Diffusion installation guide](/docs/sglang-diffusion/installation).
## 3. Model Deployment
This section provides deployment configurations optimized for different LTX pipelines and hardware targets.
### 3.1 Basic Configuration
The LTX series supports one-stage and two-stage pipelines. LTX-2.3 also supports the HQ two-stage pipeline. The recommended launch configuration depends on whether the target GPU can keep both two-stage DiTs resident.
**Interactive Command Generator**: Use the configuration selector below to generate a deployment command. The default selection targets a single NVIDIA H200 with `resident` two-stage mode, which is the fastest startup path for the specified high-memory environment.
### 3.2 Configuration Tips
Choose the pipeline class based on the quality and latency target:
| Use case | Pipeline class | Notes |
| -------------------------------------- | ------------------------ | ------------------------------------------------------------------------------------ |
| One-stage generation | `LTX2Pipeline` | Fastest LTX native path. Supports T2V and TI2V. |
| Two-stage generation | `LTX2TwoStagePipeline` | Uses a base stage and a refinement stage. Supported by LTX-2 and LTX-2.3. |
| Two-stage High Quality (HQ) generation | `LTX2TwoStageHQPipeline` | LTX-2.3 HQ path; defaults to 1920x1088 unless you override `--width` and `--height`. |
Feature compatibility:
| Pipeline class | T2V | TI2V (`--image-path`) | LoRA (`--lora-path`) | Notes |
| ------------------------ | --- | --------------------- | -------------------- | ------------------------------------------------------------------------------------------------------------- |
| `LTX2Pipeline` | Yes | Yes | Yes | One-stage path. Cannot be combined with HQ because HQ is a separate two-stage pipeline class. |
| `LTX2TwoStagePipeline` | Yes | Yes | Yes | Standard two-stage path for LTX-2 and LTX-2.3. |
| `LTX2TwoStageHQPipeline` | Yes | Yes | Yes | High Quality two-stage path for LTX-2.3. Use this instead of `LTX2Pipeline`; it is not a one-stage mode flag. |
For two-stage pipelines, `--ltx2-two-stage-device-mode` controls transformer residency:
| Mode | When to use it |
| ---------- | ------------------------------------------------------------------- |
| `snapshot` | Recommended default. Balances latency and VRAM. |
| `resident` | Best latency on high-VRAM GPUs because both DiTs can stay resident. |
| `original` | Closest to the original two-stage switching semantics. |
Other deployment flags:
* `--lora-path`: Preload a community LoRA adapter.
* `--lora-weight-name`: Select the exact safetensors file when the LoRA repository contains multiple weight files.
For native LTX-2.3 two-stage serving without a user LoRA, `resident` is the fastest high-VRAM path. When you pass `--lora-path`, SGLang still applies the user LoRA during the two-stage switch, so use `resident` on H200-class GPUs for enough VRAM, but do not expect the same premerged-stage2 benefit as the no-user-LoRA path.
## 4. Model Invocation
### 4.1 Basic Usage
The examples below spell out the current SGLang sampling defaults for reproducibility:
| Model path | Default output | Default frames | Default steps |
| -------------------------------------------------- | -------------- | -------------- | ------------- |
| `Lightricks/LTX-2` | 768x512 | 121 | 40 |
| `Lightricks/LTX-2.3` | 768x512 | 121 | 30 |
| `Lightricks/LTX-2.3` with `LTX2TwoStageHQPipeline` | 1920x1088 | 121 | 15 |
#### 4.1.1 LTX-2 one-stage text-to-video
```bash Command theme={null}
sglang generate \
--model-path Lightricks/LTX-2 \
--pipeline-class-name LTX2Pipeline \
--prompt "A quiet coastal town at sunrise, fishing boats moving slowly through golden mist, cinematic camera movement" \
--save-output
```
#### 4.1.2 LTX-2.3 one-stage text-to-video
```bash Command theme={null}
sglang generate \
--model-path Lightricks/LTX-2.3 \
--pipeline-class-name LTX2Pipeline \
--prompt "A quiet coastal town at sunrise, fishing boats moving slowly through golden mist, cinematic camera movement" \
--save-output
```
#### 4.1.3 LTX-2 two-stage text-to-video
```bash Command theme={null}
sglang generate \
--model-path Lightricks/LTX-2 \
--pipeline-class-name LTX2TwoStagePipeline \
--prompt "A handheld shot follows a red tram crossing a rainy city square at night, reflections on the pavement, cinematic lighting" \
--save-output
```
#### 4.1.4 LTX-2.3 two-stage text-to-video
```bash Command theme={null}
sglang generate \
--model-path Lightricks/LTX-2.3 \
--pipeline-class-name LTX2TwoStagePipeline \
--prompt "A handheld shot follows a red tram crossing a rainy city square at night, reflections on the pavement, cinematic lighting" \
--save-output
```
#### 4.1.5 LTX-2.3 HQ text-to-video
```bash Command theme={null}
sglang generate \
--model-path Lightricks/LTX-2.3 \
--pipeline-class-name LTX2TwoStageHQPipeline \
--prompt "A wide cinematic shot of alpine clouds rolling over a mountain ridge, soft morning light, slow aerial camera movement" \
--save-output
```
#### 4.1.6 Image-to-video with one reference image
Pass one image to `--image-path` for image-conditioned generation:
```bash Command theme={null}
sglang generate \
--model-path Lightricks/LTX-2.3 \
--pipeline-class-name LTX2TwoStagePipeline \
--image-path ./inputs/start.png \
--prompt "The camera slowly pushes forward as the subject turns toward warm window light, subtle natural motion, cinematic" \
--save-output
```
#### 4.1.7 First-to-last-frame transition with two reference images
Pass two images to `--image-path` for transition-style TI2V. The first image is used as the starting condition and the second image is used as the ending condition.
```bash Command theme={null}
sglang generate \
--model-path Lightricks/LTX-2.3 \
--pipeline-class-name LTX2TwoStagePipeline \
--image-path ./inputs/start.png ./inputs/end.png \
--prompt "A smooth cinematic transition from the first scene into the final scene, dynamic camera motion, motion blur, zhuanchang" \
--save-output
```
### 4.2 Advanced Usage
#### 4.2.1 Use community LoRAs
Use `--lora-path` to load a LoRA adapter. If the Hugging Face repo contains multiple safetensors files, use `--lora-weight-name` to select the exact file. `--lora-scale` maps to the standard LoRA merge scale and defaults to `1.0`.
The following example uses [`valiantcat/LTX-2.3-Transition-LORA`](https://huggingface.co/valiantcat/LTX-2.3-Transition-LORA):
```bash Command theme={null}
sglang generate \
--model-path Lightricks/LTX-2.3 \
--pipeline-class-name LTX2TwoStagePipeline \
--lora-path valiantcat/LTX-2.3-Transition-LORA \
--lora-weight-name ltx2.3-transition.safetensors \
--prompt "A low-angle tracking shot moves through a foggy forest road. The camera rises above the treetops and transitions into a clear view of a snowy mountain peak under bright sunlight, zhuanchang" \
--save-output
```
You can combine the Transition LoRA with two reference images:
```bash Command theme={null}
sglang generate \
--model-path Lightricks/LTX-2.3 \
--pipeline-class-name LTX2TwoStagePipeline \
--image-path ./inputs/start.png ./inputs/end.png \
--lora-path valiantcat/LTX-2.3-Transition-LORA \
--lora-weight-name ltx2.3-transition.safetensors \
--prompt "A fast cinematic transition from the first image to the second image, whip-pan motion, atmospheric lighting, zhuanchang" \
--save-output
```
Some community LoRAs only include weights for transformer blocks. In that case, SGLang logs a concise coverage summary and leaves unmatched LoRA-capable layers on the base model weights. This is expected when the adapter format intentionally omits those layers.
## 5. Practical Tips
* Use `--pipeline-class-name LTX2TwoStagePipeline` as the default LTX two-stage quality path.
* Use `--pipeline-class-name LTX2TwoStageHQPipeline` when you want the HQ path and have enough VRAM for larger outputs.
* Use `--ltx2-two-stage-device-mode resident` on high-VRAM GPUs if latency matters more than memory usage.
* Use `--ltx2-two-stage-device-mode original` when comparing against official two-stage behavior.
* Keep `--width` and `--height` aligned with the target model resolution; for LTX models, these are output video dimensions.