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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
720p		 ❌ ❌ ✅ ⭕ ❌ ❌ ❌
Wan2.2 I2V A14B Wan-AI/Wan2.2-I2V-A14B-Diffusers 480p
720p		 ❌ ❌ ✅ ⭕ ❌ ❌ ❌
HunyuanVideo hunyuanvideo-community/HunyuanVideo 720×1280
544×960		 ❌ ✅ ✅ ⭕ ❌ ❌ ✅
FastHunyuan FastVideo/FastHunyuan-diffusers 720×1280
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
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
wcde/Z-Image-Turbo-DeJPEG-Lora
Qwen-Image lightx2v/Qwen-Image-Lightning
flymy-ai/qwen-image-realism-lora
prithivMLmods/Qwen-Image-HeadshotX
starsfriday/Qwen-Image-EVA-LoRA
Qwen-Image-Edit ostris/qwen_image_edit_inpainting
lightx2v/Qwen-Image-Edit-2511-Lightning
Flux dvyio/flux-lora-simple-illustration
XLabs-AI/flux-furry-lora
XLabs-AI/flux-RealismLora

Special requirements

Sliding Tile Attention

  • Currently, only Hopper GPUs (H100s) are supported.