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The table below shows every supported model and the optimizations supported for them. Key:
  • Yes = Compatible
  • No = Incompatible
  • N/A = Not applicable

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 NameHuggingFace Model IDResolutionsTeaCacheSliding Tile AttnSage AttnVideo Sparse Attention (VSA)Sparse Linear Attention (SLA)Sage Sparse Linear Attention (SageSLA)Sparse Video Gen 2 (SVG2)
FastWan2.1 T2V 1.3BFastVideo/FastWan2.1-T2V-1.3B-Diffusers480pN/AN/AN/AYesNoNoNo
FastWan2.2 TI2V 5B Full AttnFastVideo/FastWan2.2-TI2V-5B-FullAttn-Diffusers720pN/AN/AN/AYesNoNoNo
Wan2.2 TI2V 5BWan-AI/Wan2.2-TI2V-5B-Diffusers720pN/AN/AYesN/ANoNoNo
Wan2.2 T2V A14BWan-AI/Wan2.2-T2V-A14B-Diffusers480p, 720pNoNoYesN/ANoNoNo
Wan2.2 I2V A14BWan-AI/Wan2.2-I2V-A14B-Diffusers480p, 720pNoNoYesN/ANoNoNo
HunyuanVideohunyuanvideo-community/HunyuanVideo720x1280, 544x960NoYesYesN/ANoNoYes
FastHunyuanFastVideo/FastHunyuan-diffusers720x1280, 544x960NoYesYesN/ANoNoYes
Wan2.1 T2V 1.3BWan-AI/Wan2.1-T2V-1.3B-Diffusers480pYesYesYesN/ANoNoYes
Wan2.1 T2V 14BWan-AI/Wan2.1-T2V-14B-Diffusers480p, 720pYesYesYesN/ANoNoYes
Wan2.1 I2V 480PWan-AI/Wan2.1-I2V-14B-480P-Diffusers480pYesYesYesN/ANoNoYes
Wan2.1 I2V 720PWan-AI/Wan2.1-I2V-14B-720P-Diffusers720pYesYesYesN/ANoNoYes
TurboWan2.1 T2V 1.3BIPostYellow/TurboWan2.1-T2V-1.3B-Diffusers480pYesNoNoNoYesYesN/A
TurboWan2.1 T2V 14BIPostYellow/TurboWan2.1-T2V-14B-Diffusers480pYesNoNoNoYesYesN/A
TurboWan2.1 T2V 14B 720PIPostYellow/TurboWan2.1-T2V-14B-720P-Diffusers720pYesNoNoNoYesYesN/A
TurboWan2.2 I2V A14BIPostYellow/TurboWan2.2-I2V-A14B-Diffusers720pYesNoNoNoYesYesN/A
  1. Wan2.2 TI2V 5B has known quality issues for some I2V workloads.
  2. SageSLA is based on SpargeAttn. Install SpargeAttn first with pip install git+https://github.com/thu-ml/SpargeAttn.git --no-build-isolation.

Image Generation Models

Model NameHuggingFace Model IDResolutions
FLUX.1-devblack-forest-labs/FLUX.1-devAny resolution
FLUX.2-devblack-forest-labs/FLUX.2-devAny resolution
FLUX.2-Kleinblack-forest-labs/FLUX.2-klein-4BAny resolution
Z-Image-TurboTongyi-MAI/Z-Image-TurboAny resolution
GLM-Imagezai-org/GLM-ImageAny resolution
Qwen ImageQwen/Qwen-ImageAny resolution
Qwen Image 2512Qwen/Qwen-Image-2512Any resolution
Qwen Image EditQwen/Qwen-Image-EditAny 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.
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 ModelSupported LoRAs
Wan2.2lightx2v/Wan2.2-Distill-Loras
Cseti/wan2.2-14B-Arcane_Jinx-lora-v1
Wan2.1lightx2v/Wan2.1-Distill-Loras
Z-Image-Turbotarn59/pixel_art_style_lora_z_image_turbo
wcde/Z-Image-Turbo-DeJPEG-Lora
Qwen-Imagelightx2v/Qwen-Image-Lightning
flymy-ai/qwen-image-realism-lora
prithivMLmods/Qwen-Image-HeadshotX
starsfriday/Qwen-Image-EVA-LoRA
Qwen-Image-Editostris/qwen_image_edit_inpainting
lightx2v/Qwen-Image-Edit-2511-Lightning
Fluxdvyio/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.