agentic-pd-hybrid/third_party/sglang/docs/diffusion/compatibility_matrix.md

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	✅	❌	❌	❌	✅	✅	⭕
LTX-2	Lightricks/LTX-2	1536×1024	❌	❌	❌	❌	❌	❌	❌

Note:

1. Wan2.2 TI2V 5B has some quality issues when performing I2V generation. We are working on fixing this issue.
2. SageSLA is based on SpargeAttn. Install it first with pip install git+https://github.com/thu-ml/SpargeAttn.git --no-build-isolation
3. LTX-2 two-stage generation uses --pipeline-class-name LTX2TwoStagePipeline. The spatial upsampler and distilled LoRA are auto-resolved from the model snapshot by default, and can still be overridden with --spatial-upsampler-path and --distilled-lora-path.

Image Generation Models

Model Name	HuggingFace Model ID
FLUX.1-dev	black-forest-labs/FLUX.1-dev
FLUX.2-dev	black-forest-labs/FLUX.2-dev
FLUX.2-Klein	black-forest-labs/FLUX.2-klein-4B
Z-Image-Turbo	Tongyi-MAI/Z-Image-Turbo
GLM-Image	zai-org/GLM-Image
Qwen Image	Qwen/Qwen-Image
Qwen Image 2512	Qwen/Qwen-Image-2512
Qwen Image Edit	Qwen/Qwen-Image-Edit
Qwen Image Edit 2511	Qwen/Qwen-Image-Edit-2511

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.