Fix ReadTheDocs build: move LTX-2 docs to proper location and add to nav

Co-authored-by: hsliuustc0106 <222337142+hsliuustc0106@users.noreply.github.com>

Author: Copilot

docs/.nav.yml

@@ -12,6 +12,7 @@ nav:
     - Offline Inference:
       - Image-To-Image: user_guide/examples/offline_inference/image_to_image.md
       - Image-To-Video: user_guide/examples/offline_inference/image_to_video.md
+      - LTX-2: user_guide/examples/offline_inference/ltx2.md
       - Qwen2.5-Omni: user_guide/examples/offline_inference/qwen2_5_omni.md
       - Qwen3-Omni: user_guide/examples/offline_inference/qwen3_omni.md
       - Text-To-Image: user_guide/examples/offline_inference/text_to_image.md

docs/LTX2_INTEGRATION.md

@@ -34,6 +34,7 @@ th {
 |`StableDiffusion3Pipeline` | Stable-Diffusion-3 | `stabilityai/stable-diffusion-3.5-medium` |
 |`Flux2KleinPipeline` | FLUX.2-klein | `black-forest-labs/FLUX.2-klein-4B`, `black-forest-labs/FLUX.2-klein-9B` |
 |`StableAudioPipeline` | Stable-Audio-Open | `stabilityai/stable-audio-open-1.0` |
+|`LTX2Pipeline` | LTX-2 | `Lightricks/LTX-2` |
 
 
 ## List of Supported Models for NPU

docs/models/supported_models.md

@@ -0,0 +1,42 @@
+# LTX-2 Text-To-Video
+
+Source <https://github.com/vllm-project/vllm-omni/tree/main/examples/offline_inference/ltx2>.
+
+The `Lightricks/LTX-2` pipeline generates high-quality videos from text prompts using a 19B parameter DiT architecture. It supports up to 4K video generation with synchronized audio.
+
+## Local CLI Usage
+
+```bash
+python text_to_video.py \
+  --prompt "A panda riding a bicycle through a forest, cinematic lighting" \
+  --height 512 \
+  --width 768 \
+  --num_frames 121 \
+  --num_inference_steps 40 \
+  --guidance_scale 4.0 \
+  --output ltx2_output.mp4
+```
+
+Key arguments:
+
+- `--prompt`: Text description of the video to generate (string).
+- `--height/--width`: Output resolution (defaults 512x768). Dimensions must be divisible by 32.
+- `--num_frames`: Number of frames (should be 8*n+1, e.g., 25, 81, 121). Default is 121.
+- `--guidance_scale`: Classifier-free guidance scale (default: 4.0). Range 3.0-5.0 recommended.
+- `--negative_prompt`: Optional text describing what to avoid in the video.
+- `--num_inference_steps`: Number of denoising steps (default: 40).
+- `--seed`: Random seed for reproducibility (default: 42).
+- `--fps`: Frames per second for the saved MP4 (default: 24).
+- `--output`: Path to save the generated video.
+
+## Example materials
+
+??? abstract "text_to_video.py"
+    ``````py
+    --8<-- "examples/offline_inference/ltx2/text_to_video.py"
+    ``````
+
+??? abstract "text_to_video.md"
+    ``````md
+    --8<-- "examples/offline_inference/ltx2/text_to_video.md"
+    ``````