(support-matrix)=
# 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
## 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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:::{list-table}
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:stub-columns: 3
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:class: vertical-table-header
- * Model Name
* HuggingFace Model ID
* Resolutions
* TeaCache
* Sliding Tile Attn
* Sage Attn
- * HunyuanVideo
* `hunyuanvideo-community/HunyuanVideo`
* 720px1280p
544px960p
* ❌
* ✅
* ✅
- * FastHunyuan
* `FastVideo/FastHunyuan-diffusers`
* 720px1280p
544px960p
* ❌
* ✅
* ✅
- * Wan T2V 1.3B
* `Wan-AI/Wan2.1-T2V-1.3B-Diffusers`
* 480P
* ✅
* ✅*
* ✅
- * Wan T2V 14B
* `Wan-AI/Wan2.1-T2V-14B-Diffusers`
* 480P, 720P
* ✅
* ✅*
* ✅
- * Wan I2V 480P
* `Wan-AI/Wan2.1-I2V-14B-480P-Diffusers`
* 480P
* ✅
* ✅*
* ✅
- * Wan I2V 720P
* `Wan-AI/Wan2.1-I2V-14B-720P-Diffusers`
* 720P
* ✅
* ✅*
* ✅
- * StepVideo T2V
* `FastVideo/stepvideo-t2v-diffusers`
* 768px768px204f
544px992px204f
544px992px136f
* ❌
* ❌
* ✅
:::
**Note**: there are some known quality issues with Wan2.1 + Sliding Tile Attn. 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.