mirror of
https://git.datalinker.icu/ali-vilab/TeaCache
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support HunyuanVideo
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.vs/TeaCache/v17/.wsuo
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.vs/TeaCache/v17/.wsuo
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.vs/TeaCache/v17/DocumentLayout.json
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.vs/TeaCache/v17/DocumentLayout.json
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{
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"Version": 1,
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"WorkspaceRootPath": "C:\\Users\\25142\\Documents\\TeaCache\\",
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"Documents": [
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{
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"AbsoluteMoniker": "D:0:0:{A2FE74E1-B743-11D0-AE1A-00A0C90FFFC3}|\u003CMiscFiles\u003E|C:\\Users\\25142\\Documents\\TeaCache\\TeaCache4HunyuanVideo\\README.md||{EFC0BB08-EA7D-40C6-A696-C870411A895B}",
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"RelativeMoniker": "D:0:0:{A2FE74E1-B743-11D0-AE1A-00A0C90FFFC3}|\u003CMiscFiles\u003E|solutionrelative:TeaCache4HunyuanVideo\\README.md||{EFC0BB08-EA7D-40C6-A696-C870411A895B}"
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}
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],
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"DocumentGroupContainers": [
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{
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"Orientation": 0,
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"VerticalTabListWidth": 256,
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"DocumentGroups": [
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{
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"DockedWidth": 200,
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"SelectedChildIndex": 0,
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"Children": [
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{
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"$type": "Document",
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"DocumentIndex": 0,
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"Title": "README.md",
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"DocumentMoniker": "C:\\Users\\25142\\Documents\\TeaCache\\TeaCache4HunyuanVideo\\README.md",
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"RelativeDocumentMoniker": "TeaCache4HunyuanVideo\\README.md",
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"ToolTip": "C:\\Users\\25142\\Documents\\TeaCache\\TeaCache4HunyuanVideo\\README.md",
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"RelativeToolTip": "TeaCache4HunyuanVideo\\README.md",
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"ViewState": "AgIAACEAAAAAAAAAAAAAACIAAAAAAAAAAAAAAA==",
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"Icon": "ae27a6b0-e345-4288-96df-5eaf394ee369.001818|",
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"WhenOpened": "2024-12-24T15:01:17.968Z",
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"EditorCaption": ""
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}
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]
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}
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]
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}
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]
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}
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.vs/VSWorkspaceState.json
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.vs/VSWorkspaceState.json
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{
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"ExpandedNodes": [
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"",
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"\\TeaCache4HunyuanVideo"
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],
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"SelectedNode": "\\TeaCache4HunyuanVideo\\README.md",
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"PreviewInSolutionExplorer": false
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}
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.vs/slnx.sqlite
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.vs/slnx.sqlite
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## Usage
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Follow [HunyuanVideo](https://github.com/Tencent/HunyuanVideo) to clone the repo and finish the installation, then copy 'teacache_sample_video.py' in this repo to the HunyuanVideo repo.
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Follow [HunyuanVideo](https://github.com/Tencent/HunyuanVideo) to clone the repo and finish the installation, then copy 'teacache_sample_video.py' in this repo to the HunyuanVideo repo. You can modify the thresh in line 220 to obtain your desired trade-off between latency and visul quality.
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For single-gpu inference, you can use the following command:
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@ -48,7 +48,7 @@ torchrun --nproc_per_node=8 teacache_sample_video.py \
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--save-path ./teacache_results
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```
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You can modify the thresh in line 220 to obtain your desired trade-off between latency and visul quality.
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## Acknowledgements
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