137 lines
2.5 KiB
Markdown
137 lines
2.5 KiB
Markdown
(support-matrix)=
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# Compatibility Matrix
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The table below shows every supported model and optimizations supported for them.
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The symbols used have the following meanings:
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- ✅ = Full compatibility
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- ❌ = No compatibility
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- ⭕ = Does not apply to this model
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## Models x Optimization
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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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:::{raw} html
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<style>
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/* Make smaller to try to improve readability */
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td {
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font-size: 0.9rem;
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text-align: center;
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}
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th {
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text-align: center;
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font-size: 0.9rem;
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}
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</style>
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:::
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:::{list-table}
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:header-rows: 1
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:stub-columns: 3
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:widths: auto
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:class: vertical-table-header
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- * Model Name
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* HuggingFace Model ID
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* Resolutions
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* TeaCache
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* Sliding Tile Attn
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* Sage Attn
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* Video Sparse Attention (VSA)
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- * FastWan2.1 T2V 1.3B
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* `FastVideo/FastWan2.1-T2V-1.3B-Diffusers`
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* 480P
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* ⭕
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* ⭕
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* ⭕
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* ✅
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- * FastWan2.2 TI2V 5B Full Attn*
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* `FastVideo/FastWan2.2-TI2V-5B-FullAttn-Diffusers`
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* 720P
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* ⭕
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* ⭕
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* ⭕
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* ✅
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- * Wan2.2 TI2V 5B
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* `Wan-AI/Wan2.2-TI2V-5B-Diffusers`
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* 720P
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* ⭕
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* ⭕
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* ✅
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* ⭕
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- * Wan2.2 T2V A14B
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* `Wan-AI/Wan2.2-T2V-A14B-Diffusers`
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* 480P<br>720P
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* ❌
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* ❌
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* ✅
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* ⭕
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- * Wan2.2 I2V A14B
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* `Wan-AI/Wan2.2-I2V-A14B-Diffusers`
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* 480P<br>720P
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* ❌
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* ❌
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* ✅
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* ⭕
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- * HunyuanVideo
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* `hunyuanvideo-community/HunyuanVideo`
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* 720px1280p<br>544px960p
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* ❌
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* ✅
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* ✅
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* ⭕
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- * FastHunyuan
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* `FastVideo/FastHunyuan-diffusers`
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* 720px1280p<br>544px960p
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* ❌
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* ✅
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* ✅
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* ⭕
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- * Wan2.1 T2V 1.3B
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* `Wan-AI/Wan2.1-T2V-1.3B-Diffusers`
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* 480P
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* ✅
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* ✅*
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* ✅
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* ⭕
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- * Wan2.1 T2V 14B
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* `Wan-AI/Wan2.1-T2V-14B-Diffusers`
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* 480P, 720P
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* ✅
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* ✅*
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* ✅
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* ⭕
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- * Wan2.1 I2V 480P
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* `Wan-AI/Wan2.1-I2V-14B-480P-Diffusers`
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* 480P
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* ✅
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* ✅*
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* ✅
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* ⭕
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- * Wan2.1 I2V 720P
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* `Wan-AI/Wan2.1-I2V-14B-720P-Diffusers`
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* 720P
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* ✅
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* ✅
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* ✅
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* ⭕
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- * StepVideo T2V
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* `FastVideo/stepvideo-t2v-diffusers`
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* 768px768px204f<br>544px992px204f<br>544px992px136f
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* ❌
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* ❌
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* ✅
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* ⭕
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:::
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**Note**: Wan2.2 TI2V 5B has some quality issues when performing I2V generation. We are working on fixing this issue.
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## Special requirements
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### StepVideo T2V
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- The self-attention in text-encoder (step_llm) only supports CUDA capabilities sm_80 sm_86 and sm_90
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### Sliding Tile Attention
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- Currently only Hopper GPUs (H100s) are supported.
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