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[Docs] Add Wan2.1-T2V as supported video generation models (#1920)

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Signed-off-by: samithuang <285365963@qq.com>
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Samit authored and GitHub committed 2026-03-20 14:14:20 +08:00
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docs/models/supported_models.md
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@@ -28,7 +28,7 @@ th {
| `QwenImageLayeredPipeline` | Qwen-Image-Layered | `Qwen/Qwen-Image-Layered` |
| `GlmImagePipeline` | GLM-Image | `zai-org/GLM-Image` |
|`ZImagePipeline` | Z-Image | `Tongyi-MAI/Z-Image-Turbo` |
| `WanPipeline` | Wan2.2-T2V, Wan2.2-TI2V | `Wan-AI/Wan2.2-T2V-A14B-Diffusers`, `Wan-AI/Wan2.2-TI2V-5B-Diffusers` |
| `WanPipeline` | Wan2.1-T2V, Wan2.2-T2V, Wan2.2-TI2V | `Wan-AI/Wan2.1-T2V-1.3B-Diffusers`, `Wan-AI/Wan2.1-T2V-14B-Diffusers`, `Wan-AI/Wan2.2-T2V-A14B-Diffusers`, `Wan-AI/Wan2.2-TI2V-5B-Diffusers` |
| `WanImageToVideoPipeline` | Wan2.2-I2V | `Wan-AI/Wan2.2-I2V-A14B-Diffusers` |
| `LTX2Pipeline` | LTX-2-T2V | `Lightricks/LTX-2` |
| `LTX2ImageToVideoPipeline` | LTX-2-I2V | `Lightricks/LTX-2` |
@@ -76,7 +76,7 @@ th {
| `QwenImageLayeredPipeline` | Qwen-Image-Layered | `Qwen/Qwen-Image-Layered` |
| `QwenImageEditPlusPipeline` | Qwen-Image-Edit-2511 | `Qwen/Qwen-Image-Edit-2511` |
|`ZImagePipeline` | Z-Image | `Tongyi-MAI/Z-Image-Turbo` |
| `WanPipeline` | Wan2.2-T2V, Wan2.2-TI2V | `Wan-AI/Wan2.2-T2V-A14B-Diffusers`, `Wan-AI/Wan2.2-TI2V-5B-Diffusers` |
| `WanPipeline` | Wan2.1-T2V, Wan2.2-T2V, Wan2.2-TI2V | `Wan-AI/Wan2.1-T2V-1.3B-Diffusers`, `Wan-AI/Wan2.1-T2V-14B-Diffusers`, `Wan-AI/Wan2.2-T2V-A14B-Diffusers`, `Wan-AI/Wan2.2-TI2V-5B-Diffusers` |
| `WanImageToVideoPipeline` | Wan2.2-I2V | `Wan-AI/Wan2.2-I2V-A14B-Diffusers` |
|`LongcatImagePipeline` | LongCat-Image | `meituan-longcat/LongCat-Image` |
|`LongCatImageEditPipeline` | LongCat-Image-Edit | `meituan-longcat/LongCat-Image-Edit` |
docs/user_guide/diffusion/parallelism_acceleration.md
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@@ -58,6 +58,8 @@ The following table shows which models are currently supported by parallelism me
| Model | Model Identifier | Ulysses-SP | Ring-Attention | Tensor-Parallel | HSDP | VAE-Patch-Parallel |
|-------|------------------|:----------:|:--------------:|:---------------:|:----:| :----:|
| **Wan2.1** | `Wan-AI/Wan2.1-T2V-1.3B-Diffusers` | ✅ | ✅ | ✅ | ✅ | ✅ |
| **Wan2.1** | `Wan-AI/Wan2.1-T2V-14B-Diffusers` | ✅ | ✅ | ✅ | ✅ | ✅ |
| **Wan2.2** | `Wan-AI/Wan2.2-T2V-A14B-Diffusers` | ✅ | ✅ | ✅ | ✅ | ✅ |
| **LTX-2** | `Lightricks/LTX-2` | ✅ | ✅ | ✅ | ❌ | ❌ |
docs/user_guide/diffusion_acceleration.md
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@@ -76,6 +76,8 @@ The following table shows which models are currently supported by each accelerat
| Model | Model Identifier | TeaCache | Cache-DiT | Ulysses-SP | Ring-Attention | CFG-Parallel | HSDP | VAE-Patch-Parallel |
|-------|------------------|:--------:|:---------:|:----------:|:--------------:|:------------:|:----:|:----:|
| **Wan2.1-T2V** | `Wan-AI/Wan2.1-T2V-1.3B-Diffusers` | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
| **Wan2.1-T2V** | `Wan-AI/Wan2.1-T2V-14B-Diffusers` | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
| **Wan2.2** | `Wan-AI/Wan2.2-T2V-A14B-Diffusers` | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
| **LTX-2** | `Lightricks/LTX-2` | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ |
| **DreamID-Omni** | `XuGuo699/DreamID-Omni` | ❌ | ❌ | ❌ | ❌ | ✅ | ❌ | ❌ |
docs/user_guide/examples/offline_inference/text_to_video.md
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@@ -3,7 +3,10 @@
Source <https://github.com/vllm-project/vllm-omni/tree/main/examples/offline_inference/text_to_video>.
The `Wan-AI/Wan2.2-T2V-A14B-Diffusers` pipeline generates short videos from text prompts.
The Wan T2V pipeline generates short videos from text prompts. Supported models include:
- `Wan-AI/Wan2.2-T2V-A14B-Diffusers` (14B, requires ~48GB VRAM)
- `Wan-AI/Wan2.1-T2V-1.3B-Diffusers` (1.3B, requires ~16GB VRAM, use `--flow-shift 3.0 --boundary-ratio 0.0`)
## Local CLI Usage