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

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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@@ -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` | ✅ | ✅ | ✅ | ❌ | ❌ |
@@ -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` | ❌ | ❌ | ❌ | ❌ | ✅ | ❌ | ❌ |
@@ -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