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)

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.