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.

<style> /* Target tables in this section */ #models-x-optimization + p + table { display: block; overflow-x: auto; width: 100%; font-size: 0.85rem; } #models-x-optimization + p + table td, #models-x-optimization + p + table th { text-align: center; white-space: nowrap; padding: 0.5em; } /* First two columns can wrap */ #models-x-optimization + p + table td:nth-child(1), #models-x-optimization + p + table td:nth-child(2) { white-space: normal; min-width: 120px; } #models-x-optimization + p + table td:nth-child(2) code { font-size: 0.75rem; } </style>

Model Name	HuggingFace Model ID	Resolutions	TeaCache	Sliding Tile Attn	Sage Attn	VSA
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	❌	❌	✅	⭕

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.