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6268841 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 | # 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
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
| 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
| 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
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
| 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.
|