support HunyuanVideo

.vs/TeaCache/v17/DocumentLayout.json

@@ -0,0 +1,37 @@
+{
+  "Version": 1,
+  "WorkspaceRootPath": "C:\\Users\\25142\\Documents\\TeaCache\\",
+  "Documents": [
+    {
+      "AbsoluteMoniker": "D:0:0:{A2FE74E1-B743-11D0-AE1A-00A0C90FFFC3}|\u003CMiscFiles\u003E|C:\\Users\\25142\\Documents\\TeaCache\\TeaCache4HunyuanVideo\\README.md||{EFC0BB08-EA7D-40C6-A696-C870411A895B}",
+      "RelativeMoniker": "D:0:0:{A2FE74E1-B743-11D0-AE1A-00A0C90FFFC3}|\u003CMiscFiles\u003E|solutionrelative:TeaCache4HunyuanVideo\\README.md||{EFC0BB08-EA7D-40C6-A696-C870411A895B}"
+    }
+  ],
+  "DocumentGroupContainers": [
+    {
+      "Orientation": 0,
+      "VerticalTabListWidth": 256,
+      "DocumentGroups": [
+        {
+          "DockedWidth": 200,
+          "SelectedChildIndex": 0,
+          "Children": [
+            {
+              "$type": "Document",
+              "DocumentIndex": 0,
+              "Title": "README.md",
+              "DocumentMoniker": "C:\\Users\\25142\\Documents\\TeaCache\\TeaCache4HunyuanVideo\\README.md",
+              "RelativeDocumentMoniker": "TeaCache4HunyuanVideo\\README.md",
+              "ToolTip": "C:\\Users\\25142\\Documents\\TeaCache\\TeaCache4HunyuanVideo\\README.md",
+              "RelativeToolTip": "TeaCache4HunyuanVideo\\README.md",
+              "ViewState": "AgIAACEAAAAAAAAAAAAAACIAAAAAAAAAAAAAAA==",
+              "Icon": "ae27a6b0-e345-4288-96df-5eaf394ee369.001818|",
+              "WhenOpened": "2024-12-24T15:01:17.968Z",
+              "EditorCaption": ""
+            }
+          ]
+        }
+      ]
+    }
+  ]
+}

.vs/VSWorkspaceState.json

@@ -0,0 +1,8 @@
+{
+  "ExpandedNodes": [
+    "",
+    "\\TeaCache4HunyuanVideo"
+  ],
+  "SelectedNode": "\\TeaCache4HunyuanVideo\\README.md",
+  "PreviewInSolutionExplorer": false
+}

TeaCache4HunyuanVideo/README.md

@@ -14,7 +14,7 @@
 
 ## Usage
 
-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.
+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.
 
 For single-gpu inference, you can use the following command:
 
@@ -48,7 +48,7 @@ torchrun --nproc_per_node=8 teacache_sample_video.py \
     --save-path ./teacache_results
 ```
 
-You can modify the thresh in line 220 to obtain your desired trade-off between latency and visul quality.
+
 
 ## Acknowledgements