hao-ai-lab-FastVideo/docs/inference/support_matrix.md

Compatibility Matrix

The table below shows every supported model and 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 directly pass to from_pretrained() methods and FastVideo will use the optimal default parameters when initializing and generating videos.

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Model Name	HuggingFace Model ID	Resolutions	TeaCache	Sliding Tile Attn	Sage Attn	VSA	BSA
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	720px1280p 544px960p	❌	✅	✅	⭕	⭕
FastHunyuan	FastVideo/FastHunyuan-diffusers	720px1280p 544px960p	❌	✅	✅	⭕	⭕
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	✅	✅	✅	⭕	⭕
StepVideo T2V	FastVideo/stepvideo-t2v-diffusers	768px768px204f 544px992px204f 544px992px136f	❌	❌	✅	⭕	⭕
TurboWan2.1 T2V 1.3B	loayrashid/TurboWan2.1-T2V-1.3B-Diffusers	480P	⭕	⭕	⭕	⭕	⭕
TurboWan2.1 T2V 14B	loayrashid/TurboWan2.1-T2V-14B-Diffusers	480P, 720P	⭕	⭕	⭕	⭕	⭕
LongCat T2V 13.6B	See note**	480P 720P	❌	❌	❌	⭕	✅
Matrix Game 2.0 Base	FastVideo/Matrix-Game-2.0-Base-Diffusers	352x640	⭕	⭕	⭕	⭕	⭕
Matrix Game 2.0 GTA	FastVideo/Matrix-Game-2.0-GTA-Diffusers	352x640	⭕	⭕	⭕	⭕	⭕
Matrix Game 2.0 TempleRun	FastVideo/Matrix-Game-2.0-TempleRun-Diffusers	352x640	⭕	⭕	⭕	⭕	⭕

Note: Wan2.2 TI2V 5B has some quality issues when performing I2V generation. We are working on fixing this issue.

Special requirements

StepVideo T2V

• The self-attention in text-encoder (step_llm) only supports CUDA capabilities sm_80 sm_86 and sm_90

Sliding Tile Attention

• Currently only Hopper GPUs (H100s) are supported.

TurboWan2.1 (TurboDiffusion)

• Uses TurboDiffusionPipeline with RCM scheduler for 1-4 step generation
• Requires SLA attention backend: export FASTVIDEO_ATTENTION_BACKEND=SLA_ATTN
• Uses guidance_scale=1.0 (no classifier-free guidance)

Matrix Game 2.0

• Image-to-video game world models with keyboard/mouse control input
• Three variants available: Base (universal), GTA, and TempleRun
• Each variant has different keyboard dimensions for control inputs