| # Compatibility Matrix |
|
|
| The table below shows every supported model and the optimizations supported for them. |
|
|
| The symbols used have the following meanings: |
|
|
| - ✅ = Full compatibility |
| - ❌ = No compatibility |
| - ⭕ = Does not apply to this model |
|
|
| ## Models x Optimization |
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|
| The `HuggingFace Model ID` can be passed directly to `from_pretrained()` methods, and sglang-diffusion will use the |
| optimal |
| default parameters when initializing and generating videos. |
|
|
| ### Video Generation Models |
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|
| | Model Name | Hugging Face Model ID | Resolutions | TeaCache | Sliding Tile Attn | Sage Attn | Video Sparse Attention (VSA) | Sparse Linear Attention (SLA) | Sage Sparse Linear Attention (SageSLA) | Sparse Video Gen 2 (SVG2) | |
| |:-----------------------------|:--------------------------------------------------|:--------------------|:--------:|:-----------------:|:---------:|:----------------------------:|:----------------------------:|:-----------------------------------------------:|:----------------------------------:| |
| | FastWan2.1 T2V 1.3B | `FastVideo/FastWan2.1-T2V-1.3B-Diffusers` | 480p | ⭕ | ⭕ | ⭕ | ✅ | ❌ | ❌ | ❌ | |
| | FastWan2.2 TI2V 5B Full Attn | `FastVideo/FastWan2.2-TI2V-5B-FullAttn-Diffusers` | 720p | ⭕ | ⭕ | ⭕ | ✅ | ❌ | ❌ | ❌ | |
| | Wan2.2 TI2V 5B | `Wan-AI/Wan2.2-TI2V-5B-Diffusers` | 720p | ⭕ | ⭕ | ✅ | ⭕ | ❌ | ❌ | ❌ | |
| | Wan2.2 T2V A14B | `Wan-AI/Wan2.2-T2V-A14B-Diffusers` | 480p<br>720p | ❌ | ❌ | ✅ | ⭕ | ❌ | ❌ | ❌ | |
| | Wan2.2 I2V A14B | `Wan-AI/Wan2.2-I2V-A14B-Diffusers` | 480p<br>720p | ❌ | ❌ | ✅ | ⭕ | ❌ | ❌ | ❌ | |
| | HunyuanVideo | `hunyuanvideo-community/HunyuanVideo` | 720×1280<br>544×960 | ❌ | ✅ | ✅ | ⭕ | ❌ | ❌ | ✅ | |
| | FastHunyuan | `FastVideo/FastHunyuan-diffusers` | 720×1280<br>544×960 | ❌ | ✅ | ✅ | ⭕ | ❌ | ❌ | ✅ | |
| | Wan2.1 T2V 1.3B | `Wan-AI/Wan2.1-T2V-1.3B-Diffusers` | 480p | ✅ | ✅ | ✅ | ⭕ | ❌ | ❌ | ✅ | |
| | Wan2.1 T2V 14B | `Wan-AI/Wan2.1-T2V-14B-Diffusers` | 480p, 720p | ✅ | ✅ | ✅ | ⭕ | ❌ | ❌ | ✅ | |
| | Wan2.1 I2V 480P | `Wan-AI/Wan2.1-I2V-14B-480P-Diffusers` | 480p | ✅ | ✅ | ✅ | ⭕ | ❌ | ❌ | ✅ | |
| | Wan2.1 I2V 720P | `Wan-AI/Wan2.1-I2V-14B-720P-Diffusers` | 720p | ✅ | ✅ | ✅ | ⭕ | ❌ | ❌ | ✅ | |
| | TurboWan2.1 T2V 1.3B | `IPostYellow/TurboWan2.1-T2V-1.3B-Diffusers` | 480p | ✅ | ❌ | ❌ | ❌ | ✅ | ✅ | ⭕ | |
| | TurboWan2.1 T2V 14B | `IPostYellow/TurboWan2.1-T2V-14B-Diffusers` | 480p | ✅ | ❌ | ❌ | ❌ | ✅ | ✅ | ⭕ | |
| | TurboWan2.1 T2V 14B 720P | `IPostYellow/TurboWan2.1-T2V-14B-720P-Diffusers` | 720p | ✅ | ❌ | ❌ | ❌ | ✅ | ✅ | ⭕ | |
| | TurboWan2.2 I2V A14B | `IPostYellow/TurboWan2.2-I2V-A14B-Diffusers` | 720p | ✅ | ❌ | ❌ | ❌ | ✅ | ✅ | ⭕ | |
|
|
| **Note**: |
| 1.Wan2.2 TI2V 5B has some quality issues when performing I2V generation. We are working on fixing this issue. |
| 2.SageSLA Based on SpargeAttn. Install it first with `pip install git+https://github.com/thu-ml/SpargeAttn.git --no-build-isolation` |
|
|
| ### Image Generation Models |
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|
| | Model Name | HuggingFace Model ID | Resolutions | |
| |:-----------------|:----------------------------------------|:---------------| |
| | FLUX.1-dev | `black-forest-labs/FLUX.1-dev` | Any resolution | |
| | FLUX.2-dev | `black-forest-labs/FLUX.2-dev` | Any resolution | |
| | FLUX.2-Klein | `black-forest-labs/FLUX.2-klein-4B` | Any resolution | |
| | Z-Image-Turbo | `Tongyi-MAI/Z-Image-Turbo` | Any resolution | |
| | GLM-Image | `zai-org/GLM-Image` | Any resolution | |
| | Qwen Image | `Qwen/Qwen-Image` | Any resolution | |
| | Qwen Image 2512 | `Qwen/Qwen-Image-2512` | Any resolution | |
| | Qwen Image Edit | `Qwen/Qwen-Image-Edit` | Any resolution | |
|
|
| ## Verified LoRA Examples |
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|
| This section lists example LoRAs that have been explicitly tested and verified with each base model in the **SGLang Diffusion** pipeline. |
|
|
| > Important: |
| > LoRAs that are not listed here are not necessarily incompatible. |
| > In practice, most standard LoRAs are expected to work, especially those following common Diffusers or SD-style conventions. |
| > The entries below simply reflect configurations that have been manually validated by the SGLang team. |
|
|
| ### Verified LoRAs by Base Model |
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|
| | Base Model | Supported LoRAs | |
| |:-----------------|:----------------| |
| | Wan2.2 | `lightx2v/Wan2.2-Distill-Loras`<br>`Cseti/wan2.2-14B-Arcane_Jinx-lora-v1` | |
| | Wan2.1 | `lightx2v/Wan2.1-Distill-Loras` | |
| | Z-Image-Turbo | `tarn59/pixel_art_style_lora_z_image_turbo`<br>`wcde/Z-Image-Turbo-DeJPEG-Lora` | |
| | Qwen-Image | `lightx2v/Qwen-Image-Lightning`<br>`flymy-ai/qwen-image-realism-lora`<br>`prithivMLmods/Qwen-Image-HeadshotX`<br>`starsfriday/Qwen-Image-EVA-LoRA` | |
| | Qwen-Image-Edit | `ostris/qwen_image_edit_inpainting`<br>`lightx2v/Qwen-Image-Edit-2511-Lightning` | |
| | Flux | `dvyio/flux-lora-simple-illustration`<br>`XLabs-AI/flux-furry-lora`<br>`XLabs-AI/flux-RealismLora` | |
|
|
| ## Special requirements |
|
|
| ### Sliding Tile Attention |
|
|
| - Currently, only Hopper GPUs (H100s) are supported. |
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|
