Upload custom_nodes folder recursively
Browse filesThis view is limited to 50 files because it contains too many changes.
See raw diff
- .gitattributes +734 -0
- kim_comfyui_data/custom_nodes/Cheny_custom_nodes/__init__.py +33 -0
- kim_comfyui_data/custom_nodes/Cheny_custom_nodes/blendmodes.py +329 -0
- kim_comfyui_data/custom_nodes/Cheny_custom_nodes/face_create_hole.py +20 -0
- kim_comfyui_data/custom_nodes/Cheny_custom_nodes/find_crop_box.py +61 -0
- kim_comfyui_data/custom_nodes/Cheny_custom_nodes/half_person_check.py +256 -0
- kim_comfyui_data/custom_nodes/Cheny_custom_nodes/image_center_paste.py +118 -0
- kim_comfyui_data/custom_nodes/Cheny_custom_nodes/imagefunc.py +0 -0
- kim_comfyui_data/custom_nodes/Cheny_custom_nodes/mask_solid_area.py +68 -0
- kim_comfyui_data/custom_nodes/Cheny_custom_nodes/node.py +145 -0
- kim_comfyui_data/custom_nodes/Cheny_custom_nodes/reduce_mask_by_ratio.py +127 -0
- kim_comfyui_data/custom_nodes/Cheny_custom_nodes/yolov8_detect.py +106 -0
- kim_comfyui_data/custom_nodes/Cheny_custom_nodes/yolov8_person_detect.py +188 -0
- kim_comfyui_data/custom_nodes/Cheny_custom_nodes/yolov8_person_nomask.py +195 -0
- kim_comfyui_data/custom_nodes/ComfyLiterals/.gitignore +2 -0
- kim_comfyui_data/custom_nodes/ComfyLiterals/README.md +2 -0
- kim_comfyui_data/custom_nodes/ComfyLiterals/__init__.py +21 -0
- kim_comfyui_data/custom_nodes/ComfyLiterals/js/operation-node.js +83 -0
- kim_comfyui_data/custom_nodes/ComfyLiterals/nodes.py +136 -0
- kim_comfyui_data/custom_nodes/ComfyLiterals/operations.py +54 -0
- kim_comfyui_data/custom_nodes/ComfyLiterals/startup_utils.py +29 -0
- kim_comfyui_data/custom_nodes/ComfyUI-AK-Pack/.github/workflows/publish.yml +28 -0
- kim_comfyui_data/custom_nodes/ComfyUI-AK-Pack/.gitignore +18 -0
- kim_comfyui_data/custom_nodes/ComfyUI-AK-Pack/README.md +183 -0
- kim_comfyui_data/custom_nodes/ComfyUI-AK-Pack/__init__.py +109 -0
- kim_comfyui_data/custom_nodes/ComfyUI-AK-Pack/icon.jpg +0 -0
- kim_comfyui_data/custom_nodes/ComfyUI-AK-Pack/img/AKBase.jpg +0 -0
- kim_comfyui_data/custom_nodes/ComfyUI-AK-Pack/img/AKBaseGallery.jpg +3 -0
- kim_comfyui_data/custom_nodes/ComfyUI-AK-Pack/img/AKBasePIP.jpg +0 -0
- kim_comfyui_data/custom_nodes/ComfyUI-AK-Pack/img/AKBase_big.jpg +0 -0
- kim_comfyui_data/custom_nodes/ComfyUI-AK-Pack/img/AKCLIPEncodeMultiple.jpg +0 -0
- kim_comfyui_data/custom_nodes/ComfyUI-AK-Pack/img/AKIndexMultiple.jpg +0 -0
- kim_comfyui_data/custom_nodes/ComfyUI-AK-Pack/img/AKProjectSettingsOut.jpg +3 -0
- kim_comfyui_data/custom_nodes/ComfyUI-AK-Pack/img/AKReplaceAlphaWithColor.jpg +0 -0
- kim_comfyui_data/custom_nodes/ComfyUI-AK-Pack/img/AKResizeOnBoolean.jpg +0 -0
- kim_comfyui_data/custom_nodes/ComfyUI-AK-Pack/img/CLIPTextEncodeAndCombineCached.jpg +0 -0
- kim_comfyui_data/custom_nodes/ComfyUI-AK-Pack/img/MSamplers.jpg +0 -0
- kim_comfyui_data/custom_nodes/ComfyUI-AK-Pack/img/MSamplersChooser.jpg +0 -0
- kim_comfyui_data/custom_nodes/ComfyUI-AK-Pack/img/MSamplersSettings.jpg +0 -0
- kim_comfyui_data/custom_nodes/ComfyUI-AK-Pack/img/MSamplers_big.jpg +3 -0
- kim_comfyui_data/custom_nodes/ComfyUI-AK-Pack/img/ProjectSettings.jpg +0 -0
- kim_comfyui_data/custom_nodes/ComfyUI-AK-Pack/img/ProjectSettingsOptions.jpg +0 -0
- kim_comfyui_data/custom_nodes/ComfyUI-AK-Pack/img/ProjectSettings_big.jpg +3 -0
- kim_comfyui_data/custom_nodes/ComfyUI-AK-Pack/img/preview_is_group_active.jpg +0 -0
- kim_comfyui_data/custom_nodes/ComfyUI-AK-Pack/img/preview_repeater.jpg +0 -0
- kim_comfyui_data/custom_nodes/ComfyUI-AK-Pack/js/AKBase.js +263 -0
- kim_comfyui_data/custom_nodes/ComfyUI-AK-Pack/js/AKBase_input.js +599 -0
- kim_comfyui_data/custom_nodes/ComfyUI-AK-Pack/js/AKBase_io.js +110 -0
- kim_comfyui_data/custom_nodes/ComfyUI-AK-Pack/js/AKBase_pip.js +926 -0
- kim_comfyui_data/custom_nodes/ComfyUI-AK-Pack/js/AKBase_ui.js +392 -0
.gitattributes
CHANGED
|
@@ -36,3 +36,737 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
| 36 |
RMBG/BiRefNet/__pycache__/birefnet.cpython-312.pyc filter=lfs diff=lfs merge=lfs -text
|
| 37 |
RMBG/RMBG-2.0/__pycache__/birefnet.cpython-311.pyc filter=lfs diff=lfs merge=lfs -text
|
| 38 |
SDPose_OOD/SDPose-Wholebody/assets/wholebody_anno.png filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 36 |
RMBG/BiRefNet/__pycache__/birefnet.cpython-312.pyc filter=lfs diff=lfs merge=lfs -text
|
| 37 |
RMBG/RMBG-2.0/__pycache__/birefnet.cpython-311.pyc filter=lfs diff=lfs merge=lfs -text
|
| 38 |
SDPose_OOD/SDPose-Wholebody/assets/wholebody_anno.png filter=lfs diff=lfs merge=lfs -text
|
| 39 |
+
kim_comfyui_data/custom_nodes/ComfyUI-AK-Pack/img/AKBaseGallery.jpg filter=lfs diff=lfs merge=lfs -text
|
| 40 |
+
kim_comfyui_data/custom_nodes/ComfyUI-AK-Pack/img/AKProjectSettingsOut.jpg filter=lfs diff=lfs merge=lfs -text
|
| 41 |
+
kim_comfyui_data/custom_nodes/ComfyUI-AK-Pack/img/MSamplers_big.jpg filter=lfs diff=lfs merge=lfs -text
|
| 42 |
+
kim_comfyui_data/custom_nodes/ComfyUI-AK-Pack/img/ProjectSettings_big.jpg filter=lfs diff=lfs merge=lfs -text
|
| 43 |
+
kim_comfyui_data/custom_nodes/ComfyUI-Addoor/example_workflow/12-22日更新.png filter=lfs diff=lfs merge=lfs -text
|
| 44 |
+
kim_comfyui_data/custom_nodes/ComfyUI-Addoor/example_workflow/Bizyair[[:space:]]Flux批量反推+生图.png filter=lfs diff=lfs merge=lfs -text
|
| 45 |
+
kim_comfyui_data/custom_nodes/ComfyUI-Addoor/example_workflow/RunningHub[[:space:]]API.jpg filter=lfs diff=lfs merge=lfs -text
|
| 46 |
+
kim_comfyui_data/custom_nodes/ComfyUI-Addoor/example_workflow/example_workflow.png filter=lfs diff=lfs merge=lfs -text
|
| 47 |
+
kim_comfyui_data/custom_nodes/ComfyUI-Addoor/example_workflow/提示词随机组合流.png filter=lfs diff=lfs merge=lfs -text
|
| 48 |
+
kim_comfyui_data/custom_nodes/ComfyUI-AutoCropFaces/Pytorch_Retinaface/images/test.jpg filter=lfs diff=lfs merge=lfs -text
|
| 49 |
+
kim_comfyui_data/custom_nodes/ComfyUI-AutoCropFaces/Pytorch_Retinaface/images/test.webp filter=lfs diff=lfs merge=lfs -text
|
| 50 |
+
kim_comfyui_data/custom_nodes/ComfyUI-AutoCropFaces/images/Crop_Data.png filter=lfs diff=lfs merge=lfs -text
|
| 51 |
+
kim_comfyui_data/custom_nodes/ComfyUI-AutoCropFaces/images/workflow-AutoCropFaces-Simple.png filter=lfs diff=lfs merge=lfs -text
|
| 52 |
+
kim_comfyui_data/custom_nodes/ComfyUI-AutoCropFaces/images/workflow-AutoCropFaces-bottom.png filter=lfs diff=lfs merge=lfs -text
|
| 53 |
+
kim_comfyui_data/custom_nodes/ComfyUI-AutoCropFaces/images/workflow-AutoCropFaces-with-Constrain.png filter=lfs diff=lfs merge=lfs -text
|
| 54 |
+
kim_comfyui_data/custom_nodes/ComfyUI-BiRefNet-Hugo/assets/2de5b085-1125-46f9-8ef3-06706743f182.png filter=lfs diff=lfs merge=lfs -text
|
| 55 |
+
kim_comfyui_data/custom_nodes/ComfyUI-BiRefNet-Hugo/assets/d0a22b2a-ceb3-4205-9b4e-f6a68e4337c7.png filter=lfs diff=lfs merge=lfs -text
|
| 56 |
+
kim_comfyui_data/custom_nodes/ComfyUI-BiRefNet-Hugo/assets/demo1.gif filter=lfs diff=lfs merge=lfs -text
|
| 57 |
+
kim_comfyui_data/custom_nodes/ComfyUI-BiRefNet-Hugo/assets/demo2.gif filter=lfs diff=lfs merge=lfs -text
|
| 58 |
+
kim_comfyui_data/custom_nodes/ComfyUI-BiRefNet-Hugo/assets/demo3.gif filter=lfs diff=lfs merge=lfs -text
|
| 59 |
+
kim_comfyui_data/custom_nodes/ComfyUI-BiRefNet-Hugo/assets/demo4.gif filter=lfs diff=lfs merge=lfs -text
|
| 60 |
+
kim_comfyui_data/custom_nodes/ComfyUI-BiRefNet-Hugo/example_workflows/image.webp filter=lfs diff=lfs merge=lfs -text
|
| 61 |
+
kim_comfyui_data/custom_nodes/ComfyUI-Copilot/Framework.png filter=lfs diff=lfs merge=lfs -text
|
| 62 |
+
kim_comfyui_data/custom_nodes/ComfyUI-Copilot/assets/Framework-v3.png filter=lfs diff=lfs merge=lfs -text
|
| 63 |
+
kim_comfyui_data/custom_nodes/ComfyUI-Copilot/assets/Framework.png filter=lfs diff=lfs merge=lfs -text
|
| 64 |
+
kim_comfyui_data/custom_nodes/ComfyUI-Copilot/assets/GenLabHistory.png filter=lfs diff=lfs merge=lfs -text
|
| 65 |
+
kim_comfyui_data/custom_nodes/ComfyUI-Copilot/assets/Genlab.gif filter=lfs diff=lfs merge=lfs -text
|
| 66 |
+
kim_comfyui_data/custom_nodes/ComfyUI-Copilot/assets/broken_workflow_funny.png filter=lfs diff=lfs merge=lfs -text
|
| 67 |
+
kim_comfyui_data/custom_nodes/ComfyUI-Copilot/assets/comfycopilot_nodes_recommend.gif filter=lfs diff=lfs merge=lfs -text
|
| 68 |
+
kim_comfyui_data/custom_nodes/ComfyUI-Copilot/assets/comfycopilot_nodes_search.gif filter=lfs diff=lfs merge=lfs -text
|
| 69 |
+
kim_comfyui_data/custom_nodes/ComfyUI-Copilot/assets/comfyui_manager.png filter=lfs diff=lfs merge=lfs -text
|
| 70 |
+
kim_comfyui_data/custom_nodes/ComfyUI-Copilot/assets/comfyui_manager_install.png filter=lfs diff=lfs merge=lfs -text
|
| 71 |
+
kim_comfyui_data/custom_nodes/ComfyUI-Copilot/assets/comfyui_ui_icon.png filter=lfs diff=lfs merge=lfs -text
|
| 72 |
+
kim_comfyui_data/custom_nodes/ComfyUI-Copilot/assets/debug.gif filter=lfs diff=lfs merge=lfs -text
|
| 73 |
+
kim_comfyui_data/custom_nodes/ComfyUI-Copilot/assets/discordqrcode.png filter=lfs diff=lfs merge=lfs -text
|
| 74 |
+
kim_comfyui_data/custom_nodes/ComfyUI-Copilot/assets/expert_add.jpg filter=lfs diff=lfs merge=lfs -text
|
| 75 |
+
kim_comfyui_data/custom_nodes/ComfyUI-Copilot/assets/gif.gif filter=lfs diff=lfs merge=lfs -text
|
| 76 |
+
kim_comfyui_data/custom_nodes/ComfyUI-Copilot/assets/keygen.png filter=lfs diff=lfs merge=lfs -text
|
| 77 |
+
kim_comfyui_data/custom_nodes/ComfyUI-Copilot/assets/qrcode.png filter=lfs diff=lfs merge=lfs -text
|
| 78 |
+
kim_comfyui_data/custom_nodes/ComfyUI-Copilot/assets/start.jpg filter=lfs diff=lfs merge=lfs -text
|
| 79 |
+
kim_comfyui_data/custom_nodes/ComfyUI-Copilot/backend/data/workflow_debug.db filter=lfs diff=lfs merge=lfs -text
|
| 80 |
+
kim_comfyui_data/custom_nodes/ComfyUI-Copilot/dist/copilot_web/assets/gif-Dx_BC5pS.gif filter=lfs diff=lfs merge=lfs -text
|
| 81 |
+
kim_comfyui_data/custom_nodes/ComfyUI-Frame-Interpolation/All_in_one_v1_3.png filter=lfs diff=lfs merge=lfs -text
|
| 82 |
+
kim_comfyui_data/custom_nodes/ComfyUI-Frame-Interpolation/demo_frames/anime0.png filter=lfs diff=lfs merge=lfs -text
|
| 83 |
+
kim_comfyui_data/custom_nodes/ComfyUI-Frame-Interpolation/demo_frames/anime1.png filter=lfs diff=lfs merge=lfs -text
|
| 84 |
+
kim_comfyui_data/custom_nodes/ComfyUI-Frame-Interpolation/demo_frames/bocchi0.jpg filter=lfs diff=lfs merge=lfs -text
|
| 85 |
+
kim_comfyui_data/custom_nodes/ComfyUI-Frame-Interpolation/demo_frames/bocchi1.jpg filter=lfs diff=lfs merge=lfs -text
|
| 86 |
+
kim_comfyui_data/custom_nodes/ComfyUI-Frame-Interpolation/demo_frames/real0.png filter=lfs diff=lfs merge=lfs -text
|
| 87 |
+
kim_comfyui_data/custom_nodes/ComfyUI-Frame-Interpolation/demo_frames/real1.png filter=lfs diff=lfs merge=lfs -text
|
| 88 |
+
kim_comfyui_data/custom_nodes/ComfyUI-Frame-Interpolation/demo_frames/rick/00003.png filter=lfs diff=lfs merge=lfs -text
|
| 89 |
+
kim_comfyui_data/custom_nodes/ComfyUI-Frame-Interpolation/demo_frames/rick/00004.png filter=lfs diff=lfs merge=lfs -text
|
| 90 |
+
kim_comfyui_data/custom_nodes/ComfyUI-Frame-Interpolation/demo_frames/rick/00005.png filter=lfs diff=lfs merge=lfs -text
|
| 91 |
+
kim_comfyui_data/custom_nodes/ComfyUI-Frame-Interpolation/demo_frames/violet0.png filter=lfs diff=lfs merge=lfs -text
|
| 92 |
+
kim_comfyui_data/custom_nodes/ComfyUI-Frame-Interpolation/demo_frames/violet1.png filter=lfs diff=lfs merge=lfs -text
|
| 93 |
+
kim_comfyui_data/custom_nodes/ComfyUI-Frame-Interpolation/example.png filter=lfs diff=lfs merge=lfs -text
|
| 94 |
+
kim_comfyui_data/custom_nodes/ComfyUI-Frame-Interpolation/interpolation_schedule.png filter=lfs diff=lfs merge=lfs -text
|
| 95 |
+
kim_comfyui_data/custom_nodes/ComfyUI-Frame-Interpolation/test_vfi_schedule.gif filter=lfs diff=lfs merge=lfs -text
|
| 96 |
+
kim_comfyui_data/custom_nodes/ComfyUI-Image-Filters/toy.png filter=lfs diff=lfs merge=lfs -text
|
| 97 |
+
kim_comfyui_data/custom_nodes/ComfyUI-InpaintEasy/example/InpaintEasy-CY-V1.png filter=lfs diff=lfs merge=lfs -text
|
| 98 |
+
kim_comfyui_data/custom_nodes/ComfyUI-KJNodes/docs/images/2024-04-03_20_49_29-ComfyUI.png filter=lfs diff=lfs merge=lfs -text
|
| 99 |
+
kim_comfyui_data/custom_nodes/ComfyUI-KJNodes/fonts/FreeMono.ttf filter=lfs diff=lfs merge=lfs -text
|
| 100 |
+
kim_comfyui_data/custom_nodes/ComfyUI-KJNodes/fonts/FreeMonoBoldOblique.otf filter=lfs diff=lfs merge=lfs -text
|
| 101 |
+
kim_comfyui_data/custom_nodes/ComfyUI-KJNodes/fonts/TTNorms-Black.otf filter=lfs diff=lfs merge=lfs -text
|
| 102 |
+
kim_comfyui_data/custom_nodes/ComfyUI-SAM3/assets/bedroom.mp4 filter=lfs diff=lfs merge=lfs -text
|
| 103 |
+
kim_comfyui_data/custom_nodes/ComfyUI-SAM3/assets/groceries.jpg filter=lfs diff=lfs merge=lfs -text
|
| 104 |
+
kim_comfyui_data/custom_nodes/ComfyUI-SAM3/assets/image.png filter=lfs diff=lfs merge=lfs -text
|
| 105 |
+
kim_comfyui_data/custom_nodes/ComfyUI-SAM3/docs/bbox.png filter=lfs diff=lfs merge=lfs -text
|
| 106 |
+
kim_comfyui_data/custom_nodes/ComfyUI-SAM3/docs/point.png filter=lfs diff=lfs merge=lfs -text
|
| 107 |
+
kim_comfyui_data/custom_nodes/ComfyUI-SAM3/docs/text_prompt.png filter=lfs diff=lfs merge=lfs -text
|
| 108 |
+
kim_comfyui_data/custom_nodes/ComfyUI-SAM3/docs/video.png filter=lfs diff=lfs merge=lfs -text
|
| 109 |
+
kim_comfyui_data/custom_nodes/ComfyUI-SDPose-OOD/example.png filter=lfs diff=lfs merge=lfs -text
|
| 110 |
+
kim_comfyui_data/custom_nodes/ComfyUI-SDPose-OOD/mmcv-2.1.0-py2.py3-none-any.whl filter=lfs diff=lfs merge=lfs -text
|
| 111 |
+
kim_comfyui_data/custom_nodes/ComfyUI-SaveAsScript/images/SDXL-UI-Example.PNG filter=lfs diff=lfs merge=lfs -text
|
| 112 |
+
kim_comfyui_data/custom_nodes/ComfyUI-SaveAsScript/images/default_altered.png filter=lfs diff=lfs merge=lfs -text
|
| 113 |
+
kim_comfyui_data/custom_nodes/ComfyUI-SeedVR2_VideoUpscaler/docs/demo_01.jpg filter=lfs diff=lfs merge=lfs -text
|
| 114 |
+
kim_comfyui_data/custom_nodes/ComfyUI-SeedVR2_VideoUpscaler/docs/demo_02.jpg filter=lfs diff=lfs merge=lfs -text
|
| 115 |
+
kim_comfyui_data/custom_nodes/ComfyUI-SeedVR2_VideoUpscaler/docs/usage_01.png filter=lfs diff=lfs merge=lfs -text
|
| 116 |
+
kim_comfyui_data/custom_nodes/ComfyUI-SeedVR2_VideoUpscaler/docs/usage_02.png filter=lfs diff=lfs merge=lfs -text
|
| 117 |
+
kim_comfyui_data/custom_nodes/ComfyUI-SeedVR2_VideoUpscaler/example_workflows/example_inputs/Mustache_640x360.mp4 filter=lfs diff=lfs merge=lfs -text
|
| 118 |
+
kim_comfyui_data/custom_nodes/ComfyUI-SeedVR2_VideoUpscaler/example_workflows/example_inputs/Sadhu_320x478.png filter=lfs diff=lfs merge=lfs -text
|
| 119 |
+
kim_comfyui_data/custom_nodes/ComfyUI-TeaCache/assets/compare_flux.png filter=lfs diff=lfs merge=lfs -text
|
| 120 |
+
kim_comfyui_data/custom_nodes/ComfyUI-TeaCache/assets/compare_flux_kontext.png filter=lfs diff=lfs merge=lfs -text
|
| 121 |
+
kim_comfyui_data/custom_nodes/ComfyUI-TeaCache/assets/compare_hidream_i1_dev.png filter=lfs diff=lfs merge=lfs -text
|
| 122 |
+
kim_comfyui_data/custom_nodes/ComfyUI-TeaCache/assets/compare_hidream_i1_fast.png filter=lfs diff=lfs merge=lfs -text
|
| 123 |
+
kim_comfyui_data/custom_nodes/ComfyUI-TeaCache/assets/compare_hidream_i1_full.png filter=lfs diff=lfs merge=lfs -text
|
| 124 |
+
kim_comfyui_data/custom_nodes/ComfyUI-TeaCache/assets/compare_lumina_image_2.png filter=lfs diff=lfs merge=lfs -text
|
| 125 |
+
kim_comfyui_data/custom_nodes/ComfyUI-TeaCache/assets/compare_pulid_flux.png filter=lfs diff=lfs merge=lfs -text
|
| 126 |
+
kim_comfyui_data/custom_nodes/ComfyUI-TeaCache/assets/fennec_girl_sing.png filter=lfs diff=lfs merge=lfs -text
|
| 127 |
+
kim_comfyui_data/custom_nodes/ComfyUI-TeaCache/assets/flux_dev_example.png filter=lfs diff=lfs merge=lfs -text
|
| 128 |
+
kim_comfyui_data/custom_nodes/ComfyUI-WanAnimatePreprocess/example.png filter=lfs diff=lfs merge=lfs -text
|
| 129 |
+
kim_comfyui_data/custom_nodes/ComfyUI-WanVideoWrapper/configs/T5_tokenizer/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 130 |
+
kim_comfyui_data/custom_nodes/ComfyUI-WanVideoWrapper/example_workflows/example_inputs/MTV_crafter_example_pose.mp4 filter=lfs diff=lfs merge=lfs -text
|
| 131 |
+
kim_comfyui_data/custom_nodes/ComfyUI-WanVideoWrapper/example_workflows/example_inputs/env.png filter=lfs diff=lfs merge=lfs -text
|
| 132 |
+
kim_comfyui_data/custom_nodes/ComfyUI-WanVideoWrapper/example_workflows/example_inputs/human.png filter=lfs diff=lfs merge=lfs -text
|
| 133 |
+
kim_comfyui_data/custom_nodes/ComfyUI-WanVideoWrapper/example_workflows/example_inputs/jeep.mp4 filter=lfs diff=lfs merge=lfs -text
|
| 134 |
+
kim_comfyui_data/custom_nodes/ComfyUI-WanVideoWrapper/example_workflows/example_inputs/wolf_interpolated.mp4 filter=lfs diff=lfs merge=lfs -text
|
| 135 |
+
kim_comfyui_data/custom_nodes/ComfyUI-WanVideoWrapper/example_workflows/example_inputs/woman.jpg filter=lfs diff=lfs merge=lfs -text
|
| 136 |
+
kim_comfyui_data/custom_nodes/ComfyUI-WanVideoWrapper/example_workflows/example_inputs/woman.wav filter=lfs diff=lfs merge=lfs -text
|
| 137 |
+
kim_comfyui_data/custom_nodes/ComfyUI-to-Python-Extension/images/SDXL-UI-Example.PNG filter=lfs diff=lfs merge=lfs -text
|
| 138 |
+
kim_comfyui_data/custom_nodes/ComfyUI-to-Python-Extension/images/comfyui_to_python_banner.png filter=lfs diff=lfs merge=lfs -text
|
| 139 |
+
kim_comfyui_data/custom_nodes/ComfyUI-uinodesDOC/assets/20250625_181943.gif filter=lfs diff=lfs merge=lfs -text
|
| 140 |
+
kim_comfyui_data/custom_nodes/ComfyUI-uinodesDOC/assets/image-20250625181804375.png filter=lfs diff=lfs merge=lfs -text
|
| 141 |
+
kim_comfyui_data/custom_nodes/ComfyUI-utils-nodes/assets/deepfaceAnalyzeFaceAttributes.png filter=lfs diff=lfs merge=lfs -text
|
| 142 |
+
kim_comfyui_data/custom_nodes/ComfyUI-utils-nodes/assets/detectorForNSFW.png filter=lfs diff=lfs merge=lfs -text
|
| 143 |
+
kim_comfyui_data/custom_nodes/ComfyUI-utils-nodes/assets/maskFromFacemodel.png filter=lfs diff=lfs merge=lfs -text
|
| 144 |
+
kim_comfyui_data/custom_nodes/ComfyUI_Comfyroll_CustomNodes/fonts/AlumniSansCollegiateOne-Regular.ttf filter=lfs diff=lfs merge=lfs -text
|
| 145 |
+
kim_comfyui_data/custom_nodes/ComfyUI_Comfyroll_CustomNodes/fonts/Caveat-VariableFont_wght.ttf filter=lfs diff=lfs merge=lfs -text
|
| 146 |
+
kim_comfyui_data/custom_nodes/ComfyUI_Comfyroll_CustomNodes/fonts/NotoSansArabic-Regular.ttf filter=lfs diff=lfs merge=lfs -text
|
| 147 |
+
kim_comfyui_data/custom_nodes/ComfyUI_Comfyroll_CustomNodes/fonts/Roboto-Regular.ttf filter=lfs diff=lfs merge=lfs -text
|
| 148 |
+
kim_comfyui_data/custom_nodes/ComfyUI_Comfyroll_CustomNodes/fonts/YoungSerif-Regular.ttf filter=lfs diff=lfs merge=lfs -text
|
| 149 |
+
kim_comfyui_data/custom_nodes/ComfyUI_Comfyroll_CustomNodes/fonts/comic.ttf filter=lfs diff=lfs merge=lfs -text
|
| 150 |
+
kim_comfyui_data/custom_nodes/ComfyUI_Comfyroll_CustomNodes/fonts/impact.ttf filter=lfs diff=lfs merge=lfs -text
|
| 151 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/font/Alibaba-PuHuiTi-Heavy.ttf filter=lfs diff=lfs merge=lfs -text
|
| 152 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/birefnet_ultra_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 153 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/birefnet_ultra_v2_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 154 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/birefnet_ultra_v2_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 155 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/blend_mode_result.jpg filter=lfs diff=lfs merge=lfs -text
|
| 156 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/blend_mode_v2_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 157 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/collage_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 158 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/collage_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 159 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/data_nodes_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 160 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/deepseek_api_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 161 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/deepseek_api_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 162 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/deepseek_api_v2_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 163 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/draw_bbox_mask_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 164 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/draw_bbox_mask_v2_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 165 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/draw_bbox_mask_v2_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 166 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/evf_sam_ultra_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 167 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/evf_sam_ultra_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 168 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/florence2_image2prompt_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 169 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/florence2_ultra_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 170 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/gemini_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 171 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/gemini_image_edit_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 172 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/gemini_image_edit_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 173 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/gemini_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 174 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/gemini_v2_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 175 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/gemini_v2_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 176 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/get_color_tone_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 177 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/get_color_tone_v2_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 178 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/human_parts_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 179 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/human_parts_ultra_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 180 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/image_auto_crop_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 181 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/image_auto_crop_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 182 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/image_auto_crop_v2_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 183 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/image_auto_crop_v3_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 184 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/image_reward_filter_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 185 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/jimeng_image_to_image_api_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 186 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/jimeng_image_to_image_api_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 187 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/joycaption2_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 188 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/joycaption2_extra_options_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 189 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/joycaption2_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 190 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/joycaption_beta1_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 191 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/joycaption_beta1_extra_options_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 192 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/joycaption_beta_1_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 193 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/lama_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 194 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/light_leak_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 195 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/llama_vision_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 196 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/llama_vision_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 197 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/load_image_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 198 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/load_image_example_psd_file.jpg filter=lfs diff=lfs merge=lfs -text
|
| 199 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/load_joycaption_beta1_model_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 200 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/load_segmentanything_model_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 201 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/mask_by_different_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 202 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/mask_by_different_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 203 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/object_detector_gemini_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 204 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/object_detector_yolo_world_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 205 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/outer_glow_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 206 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/person_mask_ultra_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 207 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/person_mask_ultra_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 208 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/phi_prompt_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 209 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/phi_prompt_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 210 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/prompt_embellish_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 211 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/prompt_tagger_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 212 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/prompt_tagger_example1.jpg filter=lfs diff=lfs merge=lfs -text
|
| 213 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/qwen_image2prompt_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 214 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/sam2_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 215 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/sam2_ultra_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 216 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/sam2_ultra_v2_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 217 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/sam2_video_ultra_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 218 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/saveimage_plus_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 219 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/saveimage_plus_v2_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 220 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/sd3_negative_conditioning_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 221 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/sd3_negative_conditioning_node_note.jpg filter=lfs diff=lfs merge=lfs -text
|
| 222 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/segment_anything_ultra_compare.jpg filter=lfs diff=lfs merge=lfs -text
|
| 223 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/segment_anything_ultra_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 224 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/segment_anything_ultra_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 225 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/segment_anything_ultra_v2_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 226 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/segment_anything_ultra_v3_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 227 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/segment_anything_ultra_v3_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 228 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/smollm2_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 229 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/smollm2_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 230 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/smolvlm_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 231 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/transparent_background_ultra_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 232 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/ultra_v2_nodes_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 233 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/userprompt_generator_txt2img_with_reference_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 234 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/water_color_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 235 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/watermark_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 236 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/yolov8_detect_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 237 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/zhipuglm4_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 238 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/zhipuglm4_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 239 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/image/zhipuglm4v_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 240 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/py/iopaint/web_app/assets/Inter-Black-jiII8dog.woff2 filter=lfs diff=lfs merge=lfs -text
|
| 241 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/py/iopaint/web_app/assets/Inter-BlackItalic-1413vuen.woff2 filter=lfs diff=lfs merge=lfs -text
|
| 242 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/py/iopaint/web_app/assets/Inter-Bold-srYz_-1B.woff2 filter=lfs diff=lfs merge=lfs -text
|
| 243 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/py/iopaint/web_app/assets/Inter-BoldItalic-dE_gZyur.woff2 filter=lfs diff=lfs merge=lfs -text
|
| 244 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/py/iopaint/web_app/assets/Inter-ExtraBold-TduDdwUu.woff2 filter=lfs diff=lfs merge=lfs -text
|
| 245 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/py/iopaint/web_app/assets/Inter-ExtraBoldItalic-BJafRE5I.woff2 filter=lfs diff=lfs merge=lfs -text
|
| 246 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/py/iopaint/web_app/assets/Inter-ExtraLight-w5HAp5iF.woff2 filter=lfs diff=lfs merge=lfs -text
|
| 247 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/py/iopaint/web_app/assets/Inter-ExtraLightItalic-ZptecSuc.woff2 filter=lfs diff=lfs merge=lfs -text
|
| 248 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/py/iopaint/web_app/assets/Inter-Italic-f6M78thn.woff2 filter=lfs diff=lfs merge=lfs -text
|
| 249 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/py/iopaint/web_app/assets/Inter-Light-DFhX0qo-.woff2 filter=lfs diff=lfs merge=lfs -text
|
| 250 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/py/iopaint/web_app/assets/Inter-LightItalic-fu56_DRc.woff2 filter=lfs diff=lfs merge=lfs -text
|
| 251 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/py/iopaint/web_app/assets/Inter-Medium-dDRaJ8tM.woff2 filter=lfs diff=lfs merge=lfs -text
|
| 252 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/py/iopaint/web_app/assets/Inter-MediumItalic-zr3roggP.woff2 filter=lfs diff=lfs merge=lfs -text
|
| 253 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/py/iopaint/web_app/assets/Inter-Regular-dEFHw1tF.woff2 filter=lfs diff=lfs merge=lfs -text
|
| 254 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/py/iopaint/web_app/assets/Inter-SemiBold-PyS8DO2L.woff2 filter=lfs diff=lfs merge=lfs -text
|
| 255 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/py/iopaint/web_app/assets/Inter-SemiBoldItalic-uIDb7hsH.woff2 filter=lfs diff=lfs merge=lfs -text
|
| 256 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/py/iopaint/web_app/assets/Inter-Thin-eKObIkJC.woff2 filter=lfs diff=lfs merge=lfs -text
|
| 257 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/py/iopaint/web_app/assets/Inter-ThinItalic-L6uBn3RP.woff2 filter=lfs diff=lfs merge=lfs -text
|
| 258 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/py/iopaint/web_app/assets/kofi_button_black-XI_Dr2zg.png filter=lfs diff=lfs merge=lfs -text
|
| 259 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/whl/hydra_core-1.3.2-py3-none-any.whl filter=lfs diff=lfs merge=lfs -text
|
| 260 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/workflow/1280x720_seven_person.jpg filter=lfs diff=lfs merge=lfs -text
|
| 261 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/workflow/1280x720car.jpg filter=lfs diff=lfs merge=lfs -text
|
| 262 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/workflow/1280x768_city.png filter=lfs diff=lfs merge=lfs -text
|
| 263 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/workflow/1344x768_beach.png filter=lfs diff=lfs merge=lfs -text
|
| 264 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/workflow/1344x768_girl2.png filter=lfs diff=lfs merge=lfs -text
|
| 265 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/workflow/1344x768_hair.png filter=lfs diff=lfs merge=lfs -text
|
| 266 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/workflow/1344x768_redcar.png filter=lfs diff=lfs merge=lfs -text
|
| 267 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/workflow/1920x1080table.png filter=lfs diff=lfs merge=lfs -text
|
| 268 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/workflow/3840x2160car.jpg filter=lfs diff=lfs merge=lfs -text
|
| 269 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/workflow/512x512.png filter=lfs diff=lfs merge=lfs -text
|
| 270 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/workflow/768x1344_beach.png filter=lfs diff=lfs merge=lfs -text
|
| 271 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/workflow/768x1344_dress.png filter=lfs diff=lfs merge=lfs -text
|
| 272 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/workflow/fox_512x512.png filter=lfs diff=lfs merge=lfs -text
|
| 273 |
+
kim_comfyui_data/custom_nodes/ComfyUI_LayerStyle_Advance/workflow/girl_dino_1024.png filter=lfs diff=lfs merge=lfs -text
|
| 274 |
+
kim_comfyui_data/custom_nodes/Comfyui-Memory_Cleanup/1.png filter=lfs diff=lfs merge=lfs -text
|
| 275 |
+
kim_comfyui_data/custom_nodes/Comfyui-QwenEditUtils/Demo.mp4 filter=lfs diff=lfs merge=lfs -text
|
| 276 |
+
kim_comfyui_data/custom_nodes/Comfyui-QwenEditUtils/example.png filter=lfs diff=lfs merge=lfs -text
|
| 277 |
+
kim_comfyui_data/custom_nodes/Comfyui-QwenEditUtils/mask_example.png filter=lfs diff=lfs merge=lfs -text
|
| 278 |
+
kim_comfyui_data/custom_nodes/Comfyui-QwenEditUtils/mask_vs_no_mask.png filter=lfs diff=lfs merge=lfs -text
|
| 279 |
+
kim_comfyui_data/custom_nodes/Comfyui-QwenEditUtils/result.png filter=lfs diff=lfs merge=lfs -text
|
| 280 |
+
kim_comfyui_data/custom_nodes/Comfyui-ergouzi-Nodes/docs/1细节优化.png filter=lfs diff=lfs merge=lfs -text
|
| 281 |
+
kim_comfyui_data/custom_nodes/Comfyui-ergouzi-Nodes/docs/1细节优化2.png filter=lfs diff=lfs merge=lfs -text
|
| 282 |
+
kim_comfyui_data/custom_nodes/Comfyui-ergouzi-Nodes/docs/2固定提示词大师.png filter=lfs diff=lfs merge=lfs -text
|
| 283 |
+
kim_comfyui_data/custom_nodes/Comfyui-ergouzi-Nodes/docs/2自定义随机提示词大师.png filter=lfs diff=lfs merge=lfs -text
|
| 284 |
+
kim_comfyui_data/custom_nodes/Comfyui-ergouzi-Nodes/docs/3水印大师.png filter=lfs diff=lfs merge=lfs -text
|
| 285 |
+
kim_comfyui_data/custom_nodes/Comfyui-ergouzi-Nodes/docs/4图像尺寸获取.png filter=lfs diff=lfs merge=lfs -text
|
| 286 |
+
kim_comfyui_data/custom_nodes/Comfyui-ergouzi-Nodes/docs/4图像指定保存路径.png filter=lfs diff=lfs merge=lfs -text
|
| 287 |
+
kim_comfyui_data/custom_nodes/Comfyui-ergouzi-Nodes/docs/4图像镜像翻转.png filter=lfs diff=lfs merge=lfs -text
|
| 288 |
+
kim_comfyui_data/custom_nodes/Comfyui-ergouzi-Nodes/docs/4滤镜.png filter=lfs diff=lfs merge=lfs -text
|
| 289 |
+
kim_comfyui_data/custom_nodes/Comfyui-ergouzi-Nodes/docs/4颜色迁移.png filter=lfs diff=lfs merge=lfs -text
|
| 290 |
+
kim_comfyui_data/custom_nodes/Comfyui-ergouzi-Nodes/docs/5遮罩处理.png filter=lfs diff=lfs merge=lfs -text
|
| 291 |
+
kim_comfyui_data/custom_nodes/Comfyui-ergouzi-Nodes/docs/5遮罩处理2.png filter=lfs diff=lfs merge=lfs -text
|
| 292 |
+
kim_comfyui_data/custom_nodes/Comfyui-ergouzi-Nodes/docs/5遮罩羽化.png filter=lfs diff=lfs merge=lfs -text
|
| 293 |
+
kim_comfyui_data/custom_nodes/Comfyui-ergouzi-Nodes/docs/LOGO2.png filter=lfs diff=lfs merge=lfs -text
|
| 294 |
+
kim_comfyui_data/custom_nodes/Comfyui-ergouzi-Nodes/docs/workflow.png filter=lfs diff=lfs merge=lfs -text
|
| 295 |
+
kim_comfyui_data/custom_nodes/Comfyui-ergouzi-Nodes/docs/修复前原图.png filter=lfs diff=lfs merge=lfs -text
|
| 296 |
+
kim_comfyui_data/custom_nodes/Comfyui-ergouzi-Nodes/docs/修复后.png filter=lfs diff=lfs merge=lfs -text
|
| 297 |
+
kim_comfyui_data/custom_nodes/Comfyui-ergouzi-Nodes/docs/修复后2.png filter=lfs diff=lfs merge=lfs -text
|
| 298 |
+
kim_comfyui_data/custom_nodes/Comfyui-ergouzi-Nodes/docs/内补前.png filter=lfs diff=lfs merge=lfs -text
|
| 299 |
+
kim_comfyui_data/custom_nodes/Comfyui-ergouzi-Nodes/docs/内补后.png filter=lfs diff=lfs merge=lfs -text
|
| 300 |
+
kim_comfyui_data/custom_nodes/Comfyui-ergouzi-Nodes/docs/加载任意图像.png filter=lfs diff=lfs merge=lfs -text
|
| 301 |
+
kim_comfyui_data/custom_nodes/Comfyui-ergouzi-Nodes/docs/加载任意图像2.png filter=lfs diff=lfs merge=lfs -text
|
| 302 |
+
kim_comfyui_data/custom_nodes/Comfyui-ergouzi-Nodes/docs/局部修复后.png filter=lfs diff=lfs merge=lfs -text
|
| 303 |
+
kim_comfyui_data/custom_nodes/Comfyui-ergouzi-Nodes/fonts/优设标题黑.ttf filter=lfs diff=lfs merge=lfs -text
|
| 304 |
+
kim_comfyui_data/custom_nodes/Comfyui_TTP_Toolset/examples/Flux_8Mega_Pixel_image_upscale_process.png filter=lfs diff=lfs merge=lfs -text
|
| 305 |
+
kim_comfyui_data/custom_nodes/Comfyui_TTP_Toolset/examples/Flux_8Mega_Pixel_image_upscale_process_pixel.png filter=lfs diff=lfs merge=lfs -text
|
| 306 |
+
kim_comfyui_data/custom_nodes/Comfyui_TTP_Toolset/examples/Hunyuan_8Mega_Pixel_image_upscale_process_with_tile_cn.png filter=lfs diff=lfs merge=lfs -text
|
| 307 |
+
kim_comfyui_data/custom_nodes/LanPaint/Example.JPG filter=lfs diff=lfs merge=lfs -text
|
| 308 |
+
kim_comfyui_data/custom_nodes/LanPaint/Nodes.JPG filter=lfs diff=lfs merge=lfs -text
|
| 309 |
+
kim_comfyui_data/custom_nodes/LanPaint/example_workflows/Flux_Inpaint.jpg filter=lfs diff=lfs merge=lfs -text
|
| 310 |
+
kim_comfyui_data/custom_nodes/LanPaint/example_workflows/Hunyuan_Inpaint.jpg filter=lfs diff=lfs merge=lfs -text
|
| 311 |
+
kim_comfyui_data/custom_nodes/LanPaint/example_workflows/Masked_Qwen_Image_Edit.jpg filter=lfs diff=lfs merge=lfs -text
|
| 312 |
+
kim_comfyui_data/custom_nodes/LanPaint/example_workflows/Masked_Qwen_Image_Edit_2509.jpg filter=lfs diff=lfs merge=lfs -text
|
| 313 |
+
kim_comfyui_data/custom_nodes/LanPaint/example_workflows/Qwen_Image_Inpaint.jpg filter=lfs diff=lfs merge=lfs -text
|
| 314 |
+
kim_comfyui_data/custom_nodes/LanPaint/example_workflows/Qwen_Image_Outpaint.jpg filter=lfs diff=lfs merge=lfs -text
|
| 315 |
+
kim_comfyui_data/custom_nodes/LanPaint/example_workflows/SDXL_Inpaint.jpg filter=lfs diff=lfs merge=lfs -text
|
| 316 |
+
kim_comfyui_data/custom_nodes/LanPaint/example_workflows/Z_image_Inpaint.jpg filter=lfs diff=lfs merge=lfs -text
|
| 317 |
+
kim_comfyui_data/custom_nodes/LanPaint/example_workflows/wan2_2_T2I_Inpaint.jpg filter=lfs diff=lfs merge=lfs -text
|
| 318 |
+
kim_comfyui_data/custom_nodes/LanPaint/example_workflows/wan2_2_T2I_Partial_Inpaint.jpg filter=lfs diff=lfs merge=lfs -text
|
| 319 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Example_1/InPainted_Drag_Me_to_ComfyUI.png filter=lfs diff=lfs merge=lfs -text
|
| 320 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Example_1/Masked_Load_Me_in_Loader.png filter=lfs diff=lfs merge=lfs -text
|
| 321 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Example_1/Original_No_Mask.png filter=lfs diff=lfs merge=lfs -text
|
| 322 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Example_10/InPainted_Drag_Me_to_ComfyUI.png filter=lfs diff=lfs merge=lfs -text
|
| 323 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Example_10/Masked_Load_Me_in_Loader.png filter=lfs diff=lfs merge=lfs -text
|
| 324 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Example_11/InPainted_Drag_Me_to_ComfyUI.png filter=lfs diff=lfs merge=lfs -text
|
| 325 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Example_11/Masked_Load_Me_in_Loader.png filter=lfs diff=lfs merge=lfs -text
|
| 326 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Example_12/InPainted_Drag_Me_to_ComfyUI.png filter=lfs diff=lfs merge=lfs -text
|
| 327 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Example_12/Masked_Load_Me_in_Loader.png filter=lfs diff=lfs merge=lfs -text
|
| 328 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Example_13/InPainted_Drag_Me_to_ComfyUI.png filter=lfs diff=lfs merge=lfs -text
|
| 329 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Example_13/Masked_Load_Me_in_Loader.png filter=lfs diff=lfs merge=lfs -text
|
| 330 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Example_13/Original_No_Mask.png filter=lfs diff=lfs merge=lfs -text
|
| 331 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Example_14/InPainted_Drag_Me_to_ComfyUI.png filter=lfs diff=lfs merge=lfs -text
|
| 332 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Example_14/Masked_Load_Me_in_Loader.png filter=lfs diff=lfs merge=lfs -text
|
| 333 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Example_14/Original_No_Mask.png filter=lfs diff=lfs merge=lfs -text
|
| 334 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Example_14/QwenEdit_2509_InPainted_Drag_Me_to_ComfyUI.png filter=lfs diff=lfs merge=lfs -text
|
| 335 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Example_15/InPainted_Drag_Me_to_ComfyUI.png filter=lfs diff=lfs merge=lfs -text
|
| 336 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Example_15/Masked_Load_Me_in_Loader.png filter=lfs diff=lfs merge=lfs -text
|
| 337 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Example_15/Original_No_Mask.png filter=lfs diff=lfs merge=lfs -text
|
| 338 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Example_16/InPainted_Drag_Me_to_ComfyUI.png filter=lfs diff=lfs merge=lfs -text
|
| 339 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Example_16/Masked_Load_Me_in_Loader.png filter=lfs diff=lfs merge=lfs -text
|
| 340 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Example_16/Original_No_Mask.png filter=lfs diff=lfs merge=lfs -text
|
| 341 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Example_17/Inpainted_40frames_Drag_Me_to_ComfyUI.mp4 filter=lfs diff=lfs merge=lfs -text
|
| 342 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Example_17/Masked_Load_Me_in_Loader.png filter=lfs diff=lfs merge=lfs -text
|
| 343 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Example_17/Original_No_Mask.mp4 filter=lfs diff=lfs merge=lfs -text
|
| 344 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Example_17/Wan22_[[:space:]]5B_Inpainted_40frames_Drag_Me_to_ComfyUI.mp4 filter=lfs diff=lfs merge=lfs -text
|
| 345 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Example_18/Inpainted_40frames_Drag_Me_to_ComfyUI.mp4 filter=lfs diff=lfs merge=lfs -text
|
| 346 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Example_18/Inpainted_81frames_Drag_Me_to_ComfyUI.mp4 filter=lfs diff=lfs merge=lfs -text
|
| 347 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Example_18/Masked_Load_Me_in_Loader.png filter=lfs diff=lfs merge=lfs -text
|
| 348 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Example_18/Original_No_Mask.mp4 filter=lfs diff=lfs merge=lfs -text
|
| 349 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Example_19/Original_Load_Me_in_Loader.mp4 filter=lfs diff=lfs merge=lfs -text
|
| 350 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Example_19/Outpainted_40frames_Drag_Me_to_ComfyUI.mp4 filter=lfs diff=lfs merge=lfs -text
|
| 351 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Example_19/Outpainted_41frames_Drag_Me_to_ComfyUI.mp4 filter=lfs diff=lfs merge=lfs -text
|
| 352 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Example_2/InPainted_Drag_Me_to_ComfyUI.png filter=lfs diff=lfs merge=lfs -text
|
| 353 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Example_2/Masked_Load_Me_in_Loader.png filter=lfs diff=lfs merge=lfs -text
|
| 354 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Example_2/Original_No_Mask.png filter=lfs diff=lfs merge=lfs -text
|
| 355 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Example_20/InPainted_Drag_Me_to_ComfyUI.png filter=lfs diff=lfs merge=lfs -text
|
| 356 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Example_20/Masked_Load_Me_in_Loader.png filter=lfs diff=lfs merge=lfs -text
|
| 357 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Example_20/Original_No_Mask.png filter=lfs diff=lfs merge=lfs -text
|
| 358 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Example_21/InPainted_Drag_Me_to_ComfyUI.png filter=lfs diff=lfs merge=lfs -text
|
| 359 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Example_21/Masked_Load_Me_in_Loader.png filter=lfs diff=lfs merge=lfs -text
|
| 360 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Example_21/Original_No_Mask.png filter=lfs diff=lfs merge=lfs -text
|
| 361 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Example_22/InPainted_Drag_Me_to_ComfyUI.png filter=lfs diff=lfs merge=lfs -text
|
| 362 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Example_22/Masked_Load_Me_in_Loader.png filter=lfs diff=lfs merge=lfs -text
|
| 363 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Example_22/Original_No_Mask.png filter=lfs diff=lfs merge=lfs -text
|
| 364 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Example_23/InPainted_Drag_Me_to_ComfyUI.png filter=lfs diff=lfs merge=lfs -text
|
| 365 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Example_23/Masked_Load_Me_in_Loader.png filter=lfs diff=lfs merge=lfs -text
|
| 366 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Example_23/Original_No_Mask.png filter=lfs diff=lfs merge=lfs -text
|
| 367 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Example_3/InPainted_Drag_Me_to_ComfyUI.png filter=lfs diff=lfs merge=lfs -text
|
| 368 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Example_3/Masked_Load_Me_in_Loader.png filter=lfs diff=lfs merge=lfs -text
|
| 369 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Example_3/Original_No_Mask.png filter=lfs diff=lfs merge=lfs -text
|
| 370 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Example_4/InPainted_Drag_Me_to_ComfyUI.png filter=lfs diff=lfs merge=lfs -text
|
| 371 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Example_4/Masked_Load_Me_in_Loader.png filter=lfs diff=lfs merge=lfs -text
|
| 372 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Example_4/Original_No_Mask.png filter=lfs diff=lfs merge=lfs -text
|
| 373 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Example_5/InPainted_Drag_Me_to_ComfyUI.png filter=lfs diff=lfs merge=lfs -text
|
| 374 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Example_5/Masked_Load_Me_in_Loader.png filter=lfs diff=lfs merge=lfs -text
|
| 375 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Example_5/Original_No_Mask.png filter=lfs diff=lfs merge=lfs -text
|
| 376 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Example_6/InPainted_Drag_Me_to_ComfyUI.png filter=lfs diff=lfs merge=lfs -text
|
| 377 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Example_6/Masked_Load_Me_in_Loader.png filter=lfs diff=lfs merge=lfs -text
|
| 378 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Example_6/Original_No_Mask.png filter=lfs diff=lfs merge=lfs -text
|
| 379 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Example_7/InPainted_Drag_Me_to_ComfyUI.png filter=lfs diff=lfs merge=lfs -text
|
| 380 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Example_7/Masked_Load_Me_in_Loader.png filter=lfs diff=lfs merge=lfs -text
|
| 381 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Example_7/Original_No_Mask.png filter=lfs diff=lfs merge=lfs -text
|
| 382 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Example_8/InPainted_Drag_Me_to_ComfyUI.png filter=lfs diff=lfs merge=lfs -text
|
| 383 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Example_8/Masked_Load_Me_in_Loader.png filter=lfs diff=lfs merge=lfs -text
|
| 384 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Example_8/Original_No_Mask.png filter=lfs diff=lfs merge=lfs -text
|
| 385 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Example_9/InPainted_Drag_Me_to_ComfyUI.png filter=lfs diff=lfs merge=lfs -text
|
| 386 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Example_9/Masked_Load_Me_in_Loader.png filter=lfs diff=lfs merge=lfs -text
|
| 387 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Example_9/Original_No_Mask.png filter=lfs diff=lfs merge=lfs -text
|
| 388 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/InpaintChara_04.jpg filter=lfs diff=lfs merge=lfs -text
|
| 389 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/InpaintChara_05.jpg filter=lfs diff=lfs merge=lfs -text
|
| 390 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/InpaintChara_06.jpg filter=lfs diff=lfs merge=lfs -text
|
| 391 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/InpaintChara_07.jpg filter=lfs diff=lfs merge=lfs -text
|
| 392 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/InpaintChara_08.jpg filter=lfs diff=lfs merge=lfs -text
|
| 393 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/InpaintChara_09.jpg filter=lfs diff=lfs merge=lfs -text
|
| 394 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/InpaintChara_10.jpg filter=lfs diff=lfs merge=lfs -text
|
| 395 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/InpaintChara_11.jpg filter=lfs diff=lfs merge=lfs -text
|
| 396 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/InpaintChara_12.jpg filter=lfs diff=lfs merge=lfs -text
|
| 397 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/InpaintChara_13(1).jpg filter=lfs diff=lfs merge=lfs -text
|
| 398 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/InpaintChara_13.jpg filter=lfs diff=lfs merge=lfs -text
|
| 399 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/InpaintChara_14.jpg filter=lfs diff=lfs merge=lfs -text
|
| 400 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/InpaintChara_45.jpg filter=lfs diff=lfs merge=lfs -text
|
| 401 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/InpaintChara_46.jpg filter=lfs diff=lfs merge=lfs -text
|
| 402 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Inpainted_40frames_Drag_Me_to_ComfyUI_example17.gif filter=lfs diff=lfs merge=lfs -text
|
| 403 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Inpainted_81frames_Drag_Me_to_ComfyUI_example18.gif filter=lfs diff=lfs merge=lfs -text
|
| 404 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/LanPaintQwen_01.jpg filter=lfs diff=lfs merge=lfs -text
|
| 405 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/LanPaintQwen_03.jpg filter=lfs diff=lfs merge=lfs -text
|
| 406 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/LanPaintQwen_04.jpg filter=lfs diff=lfs merge=lfs -text
|
| 407 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Mask_Example19_.png filter=lfs diff=lfs merge=lfs -text
|
| 408 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Original_Load_Me_in_Loader_example19.gif filter=lfs diff=lfs merge=lfs -text
|
| 409 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Original_No_Mask-example18.gif filter=lfs diff=lfs merge=lfs -text
|
| 410 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Original_No_Mask_example17.gif filter=lfs diff=lfs merge=lfs -text
|
| 411 |
+
kim_comfyui_data/custom_nodes/LanPaint/examples/Outpainted_40frames_Drag_Me_to_ComfyUI_example19.gif filter=lfs diff=lfs merge=lfs -text
|
| 412 |
+
kim_comfyui_data/custom_nodes/cg-use-everywhere/docs/simple-example-image.png filter=lfs diff=lfs merge=lfs -text
|
| 413 |
+
kim_comfyui_data/custom_nodes/cg-use-everywhere/docs/simple-example.png filter=lfs diff=lfs merge=lfs -text
|
| 414 |
+
kim_comfyui_data/custom_nodes/cg-use-everywhere/tests/compare.png filter=lfs diff=lfs merge=lfs -text
|
| 415 |
+
kim_comfyui_data/custom_nodes/cg-use-everywhere/tests/test.png filter=lfs diff=lfs merge=lfs -text
|
| 416 |
+
kim_comfyui_data/custom_nodes/cg-use-everywhere/tests/test2.png filter=lfs diff=lfs merge=lfs -text
|
| 417 |
+
kim_comfyui_data/custom_nodes/comfy_mtb/extern/GFPGAN/inputs/cropped_faces/Adele_crop.png filter=lfs diff=lfs merge=lfs -text
|
| 418 |
+
kim_comfyui_data/custom_nodes/comfy_mtb/extern/GFPGAN/inputs/cropped_faces/Julia_Roberts_crop.png filter=lfs diff=lfs merge=lfs -text
|
| 419 |
+
kim_comfyui_data/custom_nodes/comfy_mtb/extern/GFPGAN/inputs/cropped_faces/Justin_Timberlake_crop.png filter=lfs diff=lfs merge=lfs -text
|
| 420 |
+
kim_comfyui_data/custom_nodes/comfy_mtb/extern/GFPGAN/inputs/cropped_faces/Paris_Hilton_crop.png filter=lfs diff=lfs merge=lfs -text
|
| 421 |
+
kim_comfyui_data/custom_nodes/comfy_mtb/extern/GFPGAN/inputs/whole_imgs/00.jpg filter=lfs diff=lfs merge=lfs -text
|
| 422 |
+
kim_comfyui_data/custom_nodes/comfy_mtb/extern/GFPGAN/inputs/whole_imgs/10045.png filter=lfs diff=lfs merge=lfs -text
|
| 423 |
+
kim_comfyui_data/custom_nodes/comfy_mtb/extern/GFPGAN/tests/data/ffhq_gt.lmdb/data.mdb filter=lfs diff=lfs merge=lfs -text
|
| 424 |
+
kim_comfyui_data/custom_nodes/comfy_mtb/extern/GFPGAN/tests/data/gt/00000000.png filter=lfs diff=lfs merge=lfs -text
|
| 425 |
+
kim_comfyui_data/custom_nodes/comfy_mtb/extern/frame_interpolation/moment.gif filter=lfs diff=lfs merge=lfs -text
|
| 426 |
+
kim_comfyui_data/custom_nodes/comfy_mtb/extern/frame_interpolation/photos/one.png filter=lfs diff=lfs merge=lfs -text
|
| 427 |
+
kim_comfyui_data/custom_nodes/comfy_mtb/extern/frame_interpolation/photos/two.png filter=lfs diff=lfs merge=lfs -text
|
| 428 |
+
kim_comfyui_data/custom_nodes/comfyui-easy-use/py/modules/kolors/chatglm/tokenizer/vocab.txt filter=lfs diff=lfs merge=lfs -text
|
| 429 |
+
kim_comfyui_data/custom_nodes/comfyui-easy-use/resources/OpenSans-Medium.ttf filter=lfs diff=lfs merge=lfs -text
|
| 430 |
+
kim_comfyui_data/custom_nodes/comfyui-ic-light/example_workflows/ic_light_animated_example_01.png filter=lfs diff=lfs merge=lfs -text
|
| 431 |
+
kim_comfyui_data/custom_nodes/comfyui-ic-light/example_workflows/ic_light_example_02.png filter=lfs diff=lfs merge=lfs -text
|
| 432 |
+
kim_comfyui_data/custom_nodes/comfyui-ic-light/example_workflows/ic_light_fbc_example_02.png filter=lfs diff=lfs merge=lfs -text
|
| 433 |
+
kim_comfyui_data/custom_nodes/comfyui-ic-light/example_workflows/ic_light_simple_light_multi_02.png filter=lfs diff=lfs merge=lfs -text
|
| 434 |
+
kim_comfyui_data/custom_nodes/comfyui-ic-light/example_workflows/iclight_example_animated_multilight_01.png filter=lfs diff=lfs merge=lfs -text
|
| 435 |
+
kim_comfyui_data/custom_nodes/comfyui-ic-light/example_workflows/iclight_example_fc_controlled_gradient_01.png filter=lfs diff=lfs merge=lfs -text
|
| 436 |
+
kim_comfyui_data/custom_nodes/comfyui-ic-light/example_workflows/iclight_normals_example_01.png filter=lfs diff=lfs merge=lfs -text
|
| 437 |
+
kim_comfyui_data/custom_nodes/comfyui-impact-pack/example_workflows/2-MaskDetailer.jpg filter=lfs diff=lfs merge=lfs -text
|
| 438 |
+
kim_comfyui_data/custom_nodes/comfyui-impact-pack/example_workflows/4-MakeTileSEGS-Upscale.jpg filter=lfs diff=lfs merge=lfs -text
|
| 439 |
+
kim_comfyui_data/custom_nodes/comfyui-impact-pack/example_workflows/5-prompt-per-tile.jpg filter=lfs diff=lfs merge=lfs -text
|
| 440 |
+
kim_comfyui_data/custom_nodes/comfyui-impact-pack/example_workflows/6-DetailerWildcard.jpg filter=lfs diff=lfs merge=lfs -text
|
| 441 |
+
kim_comfyui_data/custom_nodes/comfyui-impact-pack/troubleshooting/black1.png filter=lfs diff=lfs merge=lfs -text
|
| 442 |
+
kim_comfyui_data/custom_nodes/comfyui-impact-pack/troubleshooting/black2.png filter=lfs diff=lfs merge=lfs -text
|
| 443 |
+
kim_comfyui_data/custom_nodes/comfyui-inpaint-cropandstitch/example_workflows/inpaint_flux.jpg filter=lfs diff=lfs merge=lfs -text
|
| 444 |
+
kim_comfyui_data/custom_nodes/comfyui-inpaint-cropandstitch/example_workflows/inpaint_hires.jpg filter=lfs diff=lfs merge=lfs -text
|
| 445 |
+
kim_comfyui_data/custom_nodes/comfyui-inpaint-cropandstitch/example_workflows/inpaint_sd15.jpg filter=lfs diff=lfs merge=lfs -text
|
| 446 |
+
kim_comfyui_data/custom_nodes/comfyui-inpaint-cropandstitch/inpaint_flux.png filter=lfs diff=lfs merge=lfs -text
|
| 447 |
+
kim_comfyui_data/custom_nodes/comfyui-inpaint-cropandstitch/inpaint_hires.png filter=lfs diff=lfs merge=lfs -text
|
| 448 |
+
kim_comfyui_data/custom_nodes/comfyui-inpaint-cropandstitch/inpaint_sd15.png filter=lfs diff=lfs merge=lfs -text
|
| 449 |
+
kim_comfyui_data/custom_nodes/comfyui-lama-remover/example/example1.png filter=lfs diff=lfs merge=lfs -text
|
| 450 |
+
kim_comfyui_data/custom_nodes/comfyui-lama-remover/example/example2.png filter=lfs diff=lfs merge=lfs -text
|
| 451 |
+
kim_comfyui_data/custom_nodes/comfyui-lama-remover/example/example3.png filter=lfs diff=lfs merge=lfs -text
|
| 452 |
+
kim_comfyui_data/custom_nodes/comfyui-loop/ComfyUI-Loop.png filter=lfs diff=lfs merge=lfs -text
|
| 453 |
+
kim_comfyui_data/custom_nodes/comfyui-loop/_demo_videos/loop_and_paste.mkv filter=lfs diff=lfs merge=lfs -text
|
| 454 |
+
kim_comfyui_data/custom_nodes/comfyui-loop/_demo_videos/loop_and_save_any.mkv filter=lfs diff=lfs merge=lfs -text
|
| 455 |
+
kim_comfyui_data/custom_nodes/comfyui-loop/example_workflow/loop_workflow_example.png filter=lfs diff=lfs merge=lfs -text
|
| 456 |
+
kim_comfyui_data/custom_nodes/comfyui-mixlab-nodes/assets/0-m-app.png filter=lfs diff=lfs merge=lfs -text
|
| 457 |
+
kim_comfyui_data/custom_nodes/comfyui-mixlab-nodes/assets/1722517810720.png filter=lfs diff=lfs merge=lfs -text
|
| 458 |
+
kim_comfyui_data/custom_nodes/comfyui-mixlab-nodes/assets/1724308322276.png filter=lfs diff=lfs merge=lfs -text
|
| 459 |
+
kim_comfyui_data/custom_nodes/comfyui-mixlab-nodes/assets/1725710761451.png filter=lfs diff=lfs merge=lfs -text
|
| 460 |
+
kim_comfyui_data/custom_nodes/comfyui-mixlab-nodes/assets/3d-workflow.png filter=lfs diff=lfs merge=lfs -text
|
| 461 |
+
kim_comfyui_data/custom_nodes/comfyui-mixlab-nodes/assets/3d_app.png filter=lfs diff=lfs merge=lfs -text
|
| 462 |
+
kim_comfyui_data/custom_nodes/comfyui-mixlab-nodes/assets/3dimage.png filter=lfs diff=lfs merge=lfs -text
|
| 463 |
+
kim_comfyui_data/custom_nodes/comfyui-mixlab-nodes/assets/69feadc0e52f99b420cee0201660c4e.png filter=lfs diff=lfs merge=lfs -text
|
| 464 |
+
kim_comfyui_data/custom_nodes/comfyui-mixlab-nodes/assets/City_Snapshot_00005_.png filter=lfs diff=lfs merge=lfs -text
|
| 465 |
+
kim_comfyui_data/custom_nodes/comfyui-mixlab-nodes/assets/MaterialsVariantsShoe.glb filter=lfs diff=lfs merge=lfs -text
|
| 466 |
+
kim_comfyui_data/custom_nodes/comfyui-mixlab-nodes/assets/NeilArmstrong.glb filter=lfs diff=lfs merge=lfs -text
|
| 467 |
+
kim_comfyui_data/custom_nodes/comfyui-mixlab-nodes/assets/TransparentImage.png filter=lfs diff=lfs merge=lfs -text
|
| 468 |
+
kim_comfyui_data/custom_nodes/comfyui-mixlab-nodes/assets/VisualStylePrompting.png filter=lfs diff=lfs merge=lfs -text
|
| 469 |
+
kim_comfyui_data/custom_nodes/comfyui-mixlab-nodes/assets/appinfo-readme.png filter=lfs diff=lfs merge=lfs -text
|
| 470 |
+
kim_comfyui_data/custom_nodes/comfyui-mixlab-nodes/assets/appinfo-readme2.png filter=lfs diff=lfs merge=lfs -text
|
| 471 |
+
kim_comfyui_data/custom_nodes/comfyui-mixlab-nodes/assets/detect-face-all.png filter=lfs diff=lfs merge=lfs -text
|
| 472 |
+
kim_comfyui_data/custom_nodes/comfyui-mixlab-nodes/assets/fonts/庞门正道粗书体6.0.ttf filter=lfs diff=lfs merge=lfs -text
|
| 473 |
+
kim_comfyui_data/custom_nodes/comfyui-mixlab-nodes/assets/fonts/有爱黑体ARHei.ttf filter=lfs diff=lfs merge=lfs -text
|
| 474 |
+
kim_comfyui_data/custom_nodes/comfyui-mixlab-nodes/assets/fonts/有爱黑体arheiuhk_bd.ttf filter=lfs diff=lfs merge=lfs -text
|
| 475 |
+
kim_comfyui_data/custom_nodes/comfyui-mixlab-nodes/assets/fonts/王汉宗颜楷体繁.ttf filter=lfs diff=lfs merge=lfs -text
|
| 476 |
+
kim_comfyui_data/custom_nodes/comfyui-mixlab-nodes/assets/help.png filter=lfs diff=lfs merge=lfs -text
|
| 477 |
+
kim_comfyui_data/custom_nodes/comfyui-mixlab-nodes/assets/load-watch.png filter=lfs diff=lfs merge=lfs -text
|
| 478 |
+
kim_comfyui_data/custom_nodes/comfyui-mixlab-nodes/assets/prompt_weight.png filter=lfs diff=lfs merge=lfs -text
|
| 479 |
+
kim_comfyui_data/custom_nodes/comfyui-mixlab-nodes/assets/randomPrompt.png filter=lfs diff=lfs merge=lfs -text
|
| 480 |
+
kim_comfyui_data/custom_nodes/comfyui-mixlab-nodes/assets/screenshare.png filter=lfs diff=lfs merge=lfs -text
|
| 481 |
+
kim_comfyui_data/custom_nodes/comfyui-mixlab-nodes/assets/微信图片_20240421205440.png filter=lfs diff=lfs merge=lfs -text
|
| 482 |
+
kim_comfyui_data/custom_nodes/comfyui-mixlab-nodes/assets/挖掘机_00076_1.png filter=lfs diff=lfs merge=lfs -text
|
| 483 |
+
kim_comfyui_data/custom_nodes/comfyui-propost/examples/propost-compound.jpg filter=lfs diff=lfs merge=lfs -text
|
| 484 |
+
kim_comfyui_data/custom_nodes/comfyui-propost/examples/propost-depthmapblur-workflow.png filter=lfs diff=lfs merge=lfs -text
|
| 485 |
+
kim_comfyui_data/custom_nodes/comfyui-propost/examples/propost-filmgrain.jpg filter=lfs diff=lfs merge=lfs -text
|
| 486 |
+
kim_comfyui_data/custom_nodes/comfyui-propost/examples/propost-lut.jpg filter=lfs diff=lfs merge=lfs -text
|
| 487 |
+
kim_comfyui_data/custom_nodes/comfyui-propost/examples/propost.jpg filter=lfs diff=lfs merge=lfs -text
|
| 488 |
+
kim_comfyui_data/custom_nodes/comfyui-propost/examples/workflow.png filter=lfs diff=lfs merge=lfs -text
|
| 489 |
+
kim_comfyui_data/custom_nodes/comfyui-rmbg/sam3/perflib/tests/assets/masks.tiff filter=lfs diff=lfs merge=lfs -text
|
| 490 |
+
kim_comfyui_data/custom_nodes/comfyui-sam2/assets/workflow.png filter=lfs diff=lfs merge=lfs -text
|
| 491 |
+
kim_comfyui_data/custom_nodes/comfyui-show-text/imgs/showtext.png filter=lfs diff=lfs merge=lfs -text
|
| 492 |
+
kim_comfyui_data/custom_nodes/comfyui_controlnet_aux_backup/NotoSans-Regular.ttf filter=lfs diff=lfs merge=lfs -text
|
| 493 |
+
kim_comfyui_data/custom_nodes/comfyui_controlnet_aux_backup/examples/CNAuxBanner.jpg filter=lfs diff=lfs merge=lfs -text
|
| 494 |
+
kim_comfyui_data/custom_nodes/comfyui_controlnet_aux_backup/examples/ExecuteAll.png filter=lfs diff=lfs merge=lfs -text
|
| 495 |
+
kim_comfyui_data/custom_nodes/comfyui_controlnet_aux_backup/examples/ExecuteAll1.jpg filter=lfs diff=lfs merge=lfs -text
|
| 496 |
+
kim_comfyui_data/custom_nodes/comfyui_controlnet_aux_backup/examples/ExecuteAll2.jpg filter=lfs diff=lfs merge=lfs -text
|
| 497 |
+
kim_comfyui_data/custom_nodes/comfyui_controlnet_aux_backup/examples/comfyui-controlnet-aux-logo.png filter=lfs diff=lfs merge=lfs -text
|
| 498 |
+
kim_comfyui_data/custom_nodes/comfyui_controlnet_aux_backup/examples/example_animal_pose.png filter=lfs diff=lfs merge=lfs -text
|
| 499 |
+
kim_comfyui_data/custom_nodes/comfyui_controlnet_aux_backup/examples/example_anime_face_segmentor.png filter=lfs diff=lfs merge=lfs -text
|
| 500 |
+
kim_comfyui_data/custom_nodes/comfyui_controlnet_aux_backup/examples/example_anyline.png filter=lfs diff=lfs merge=lfs -text
|
| 501 |
+
kim_comfyui_data/custom_nodes/comfyui_controlnet_aux_backup/examples/example_densepose.png filter=lfs diff=lfs merge=lfs -text
|
| 502 |
+
kim_comfyui_data/custom_nodes/comfyui_controlnet_aux_backup/examples/example_depth_anything.png filter=lfs diff=lfs merge=lfs -text
|
| 503 |
+
kim_comfyui_data/custom_nodes/comfyui_controlnet_aux_backup/examples/example_depth_anything_v2.png filter=lfs diff=lfs merge=lfs -text
|
| 504 |
+
kim_comfyui_data/custom_nodes/comfyui_controlnet_aux_backup/examples/example_dsine.png filter=lfs diff=lfs merge=lfs -text
|
| 505 |
+
kim_comfyui_data/custom_nodes/comfyui_controlnet_aux_backup/examples/example_marigold.png filter=lfs diff=lfs merge=lfs -text
|
| 506 |
+
kim_comfyui_data/custom_nodes/comfyui_controlnet_aux_backup/examples/example_marigold_flat.jpg filter=lfs diff=lfs merge=lfs -text
|
| 507 |
+
kim_comfyui_data/custom_nodes/comfyui_controlnet_aux_backup/examples/example_mesh_graphormer.png filter=lfs diff=lfs merge=lfs -text
|
| 508 |
+
kim_comfyui_data/custom_nodes/comfyui_controlnet_aux_backup/examples/example_metric3d.png filter=lfs diff=lfs merge=lfs -text
|
| 509 |
+
kim_comfyui_data/custom_nodes/comfyui_controlnet_aux_backup/examples/example_recolor.png filter=lfs diff=lfs merge=lfs -text
|
| 510 |
+
kim_comfyui_data/custom_nodes/comfyui_controlnet_aux_backup/examples/example_save_kps.png filter=lfs diff=lfs merge=lfs -text
|
| 511 |
+
kim_comfyui_data/custom_nodes/comfyui_controlnet_aux_backup/examples/example_teed.png filter=lfs diff=lfs merge=lfs -text
|
| 512 |
+
kim_comfyui_data/custom_nodes/comfyui_controlnet_aux_backup/examples/example_torchscript.png filter=lfs diff=lfs merge=lfs -text
|
| 513 |
+
kim_comfyui_data/custom_nodes/comfyui_controlnet_aux_backup/examples/example_unimatch.png filter=lfs diff=lfs merge=lfs -text
|
| 514 |
+
kim_comfyui_data/custom_nodes/comfyui_controlnet_aux_backup/src/custom_controlnet_aux/mesh_graphormer/hand_landmarker.task filter=lfs diff=lfs merge=lfs -text
|
| 515 |
+
kim_comfyui_data/custom_nodes/comfyui_controlnet_aux_backup/tests/pose.png filter=lfs diff=lfs merge=lfs -text
|
| 516 |
+
kim_comfyui_data/custom_nodes/comfyui_faceanalysis/face_analysis.jpg filter=lfs diff=lfs merge=lfs -text
|
| 517 |
+
kim_comfyui_data/custom_nodes/comfyui_facetools/examples/comparison.jpg filter=lfs diff=lfs merge=lfs -text
|
| 518 |
+
kim_comfyui_data/custom_nodes/comfyui_facetools/examples/full_inpainting.png filter=lfs diff=lfs merge=lfs -text
|
| 519 |
+
kim_comfyui_data/custom_nodes/comfyui_ipadapter_plus/examples/demo_workflow.jpg filter=lfs diff=lfs merge=lfs -text
|
| 520 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/font/Alibaba-PuHuiTi-Heavy.ttf filter=lfs diff=lfs merge=lfs -text
|
| 521 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/add_grain_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 522 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/auto_adjust_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 523 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/auto_adjust_v2_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 524 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/auto_brightness_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 525 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/ben_ultra_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 526 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/ben_ultra_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 527 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/birefnet_ultra_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 528 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/birefnet_ultra_v2_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 529 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/birefnet_ultra_v2_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 530 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/blend_mode_result.jpg filter=lfs diff=lfs merge=lfs -text
|
| 531 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/blend_mode_v2_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 532 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/blendif_mask_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 533 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/channel_shake_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 534 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/chioce_text_preset_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 535 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/choice_text_preset_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 536 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/color_adapter_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 537 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/color_balance_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 538 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/color_image_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 539 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/color_negative_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 540 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/color_of_shadow_and_highlight_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 541 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/color_of_shadow_and_highlight_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 542 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/color_overlay_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 543 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/color_temperature_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 544 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/colormap_result.jpg filter=lfs diff=lfs merge=lfs -text
|
| 545 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/corp_by_mask_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 546 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/corp_by_mask_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 547 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/create_gradient_mask_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 548 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/create_gradient_mask_example2.jpg filter=lfs diff=lfs merge=lfs -text
|
| 549 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/data_nodes_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 550 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/draw_bbox_mask_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 551 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/draw_rounded_rectangle_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 552 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/drop_shadow_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 553 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/evf_sam_ultra_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 554 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/evf_sam_ultra_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 555 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/exposure_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 556 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/extend_canvas_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 557 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/extend_canvas_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 558 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/film_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 559 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/film_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 560 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/florence2_image2prompt_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 561 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/florence2_ultra_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 562 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/flux_kontext_image_scale_node_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 563 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/gaussian_blur_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 564 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/get_color_tone_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 565 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/get_color_tone_v2_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 566 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/get_main_color_and_color_name_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 567 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/get_main_color_v2_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 568 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/get_main_colors_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 569 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/gradient_image_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 570 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/gradient_overlay_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 571 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/halftone_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 572 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/halftone_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 573 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/hdr_effects_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 574 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/hl_frequency_detail_restore_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 575 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/human_parts_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 576 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/human_parts_ultra_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 577 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/icmask_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 578 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/if_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 579 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/image_auto_crop_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 580 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/image_auto_crop_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 581 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/image_auto_crop_v2_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 582 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/image_auto_crop_v3_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 583 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/image_blend_advance_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 584 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/image_blend_advance_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 585 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/image_blend_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 586 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/image_channel_merge_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 587 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/image_channel_split_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 588 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/image_composite_handle_mask_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 589 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/image_composite_handle_mask_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 590 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/image_hub_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 591 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/image_hub_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 592 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/image_mask_scale_as_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 593 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/image_mask_scale_as_v2_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 594 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/image_mask_scale_as_v2_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 595 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/image_reel_composit_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 596 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/image_reel_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 597 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/image_remove_alpha_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 598 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/image_reward_filter_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 599 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/image_scale_by_aspect_ratio_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 600 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/image_scale_restore_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 601 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/image_shift_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 602 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/image_shift_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 603 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/image_tagger_save_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 604 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/image_tagger_save_v2_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 605 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/image_to_mask_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 606 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/inner_glow_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 607 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/inner_shadow_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 608 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/joycaption2_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 609 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/joycaption2_extra_options_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 610 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/joycaption2_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 611 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/lama_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 612 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/layer_image_transform_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 613 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/layer_image_transform_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 614 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/layer_mask_transform_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 615 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/layercolor_nodes.jpg filter=lfs diff=lfs merge=lfs -text
|
| 616 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/layercolor_title.jpg filter=lfs diff=lfs merge=lfs -text
|
| 617 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/layerfilter_nodes.jpg filter=lfs diff=lfs merge=lfs -text
|
| 618 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/layermask_nodes.jpg filter=lfs diff=lfs merge=lfs -text
|
| 619 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/layerstyle_nodes.jpg filter=lfs diff=lfs merge=lfs -text
|
| 620 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/layerstyle_title.jpg filter=lfs diff=lfs merge=lfs -text
|
| 621 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/layerutility_nodes.jpg filter=lfs diff=lfs merge=lfs -text
|
| 622 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/levels_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 623 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/light_leak_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 624 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/llama_vision_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 625 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/llama_vision_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 626 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/load_image_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 627 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/load_image_example_psd_file.jpg filter=lfs diff=lfs merge=lfs -text
|
| 628 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/lut_apply_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 629 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/mask_box_detect_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 630 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/mask_box_extend_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 631 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/mask_box_extend_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 632 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/mask_by_color_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 633 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/mask_by_different_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 634 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/mask_by_different_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 635 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/mask_edge_compare.jpg filter=lfs diff=lfs merge=lfs -text
|
| 636 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/mask_edge_shrink_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 637 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/mask_edge_shrink_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 638 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/mask_edge_ultra_detail_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 639 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/mask_edge_ultra_detail_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 640 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/mask_edge_ultra_detail_v2_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 641 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/mask_gradient_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 642 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/mask_grow_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 643 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/mask_invert.jpg filter=lfs diff=lfs merge=lfs -text
|
| 644 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/mask_motion_blur_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 645 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/mask_stroke_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 646 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/menu_layer_utility.jpg filter=lfs diff=lfs merge=lfs -text
|
| 647 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/name_to_color_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 648 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/name_to_color_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 649 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/object_detector_yolo_world_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 650 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/outer_glow_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 651 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/person_mask_ultra_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 652 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/person_mask_ultra_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 653 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/phi_prompt_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 654 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/phi_prompt_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 655 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/pixel_spread_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 656 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/prompt_embellish_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 657 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/prompt_tagger_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 658 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/prompt_tagger_example1.jpg filter=lfs diff=lfs merge=lfs -text
|
| 659 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/purge_vram_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 660 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/queue_stop_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 661 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/qwen_image2prompt_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 662 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/random_generator_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 663 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/random_generator_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 664 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/random_generator_v2_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 665 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/rembg_ultra_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 666 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/rounded_rectangle_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 667 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/rounded_rectangle_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 668 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/sam2_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 669 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/sam2_ultra_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 670 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/sam2_video_ultra_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 671 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/saveimage_plus_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 672 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/sd3_negative_conditioning_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 673 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/sd3_negative_conditioning_node_note.jpg filter=lfs diff=lfs merge=lfs -text
|
| 674 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/segformer_clothes_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 675 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/segformer_clothes_pipeline_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 676 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/segformer_clothes_setting_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 677 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/segformer_fashion_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 678 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/segformer_fashion_pipeline_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 679 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/segformer_fashion_setting_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 680 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/segformer_ultra_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 681 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/segformer_ultra_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 682 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/segfromer_ultra_v3_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 683 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/segment_anything_ultra_compare.jpg filter=lfs diff=lfs merge=lfs -text
|
| 684 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/segment_anything_ultra_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 685 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/segment_anything_ultra_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 686 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/segment_anything_ultra_v2_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 687 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/shadow_and_highlight_mask_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 688 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/sharp_and_soft_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 689 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/simple_text_image_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 690 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/simple_text_image_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 691 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/skin_beauty_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 692 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/soft_light_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 693 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/string_condition_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 694 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/stroke_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 695 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/switch_case_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 696 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/text_image_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 697 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/text_image_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 698 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/text_image_v2_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 699 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/text_join_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 700 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/text_preseter_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 701 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/title.jpg filter=lfs diff=lfs merge=lfs -text
|
| 702 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/transparent_background_ultra_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 703 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/ultra_nodes.jpg filter=lfs diff=lfs merge=lfs -text
|
| 704 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/ultra_v2_nodes_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 705 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/userprompt_generator_txt2img_with_reference_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 706 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/vqa_prompt_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 707 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/vqa_prompt_node.jpg filter=lfs diff=lfs merge=lfs -text
|
| 708 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/water_color_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 709 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/watermark_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 710 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/xy2percent_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 711 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/image/yolov8_detect_example.jpg filter=lfs diff=lfs merge=lfs -text
|
| 712 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/py/iopaint/web_app/assets/Inter-Black-jiII8dog.woff2 filter=lfs diff=lfs merge=lfs -text
|
| 713 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/py/iopaint/web_app/assets/Inter-BlackItalic-1413vuen.woff2 filter=lfs diff=lfs merge=lfs -text
|
| 714 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/py/iopaint/web_app/assets/Inter-Bold-srYz_-1B.woff2 filter=lfs diff=lfs merge=lfs -text
|
| 715 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/py/iopaint/web_app/assets/Inter-BoldItalic-dE_gZyur.woff2 filter=lfs diff=lfs merge=lfs -text
|
| 716 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/py/iopaint/web_app/assets/Inter-ExtraBold-TduDdwUu.woff2 filter=lfs diff=lfs merge=lfs -text
|
| 717 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/py/iopaint/web_app/assets/Inter-ExtraBoldItalic-BJafRE5I.woff2 filter=lfs diff=lfs merge=lfs -text
|
| 718 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/py/iopaint/web_app/assets/Inter-ExtraLight-w5HAp5iF.woff2 filter=lfs diff=lfs merge=lfs -text
|
| 719 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/py/iopaint/web_app/assets/Inter-ExtraLightItalic-ZptecSuc.woff2 filter=lfs diff=lfs merge=lfs -text
|
| 720 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/py/iopaint/web_app/assets/Inter-Italic-f6M78thn.woff2 filter=lfs diff=lfs merge=lfs -text
|
| 721 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/py/iopaint/web_app/assets/Inter-Light-DFhX0qo-.woff2 filter=lfs diff=lfs merge=lfs -text
|
| 722 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/py/iopaint/web_app/assets/Inter-LightItalic-fu56_DRc.woff2 filter=lfs diff=lfs merge=lfs -text
|
| 723 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/py/iopaint/web_app/assets/Inter-Medium-dDRaJ8tM.woff2 filter=lfs diff=lfs merge=lfs -text
|
| 724 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/py/iopaint/web_app/assets/Inter-MediumItalic-zr3roggP.woff2 filter=lfs diff=lfs merge=lfs -text
|
| 725 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/py/iopaint/web_app/assets/Inter-Regular-dEFHw1tF.woff2 filter=lfs diff=lfs merge=lfs -text
|
| 726 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/py/iopaint/web_app/assets/Inter-SemiBold-PyS8DO2L.woff2 filter=lfs diff=lfs merge=lfs -text
|
| 727 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/py/iopaint/web_app/assets/Inter-SemiBoldItalic-uIDb7hsH.woff2 filter=lfs diff=lfs merge=lfs -text
|
| 728 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/py/iopaint/web_app/assets/Inter-Thin-eKObIkJC.woff2 filter=lfs diff=lfs merge=lfs -text
|
| 729 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/py/iopaint/web_app/assets/Inter-ThinItalic-L6uBn3RP.woff2 filter=lfs diff=lfs merge=lfs -text
|
| 730 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/py/iopaint/web_app/assets/kofi_button_black-XI_Dr2zg.png filter=lfs diff=lfs merge=lfs -text
|
| 731 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/whl/hydra_core-1.3.2-py3-none-any.whl filter=lfs diff=lfs merge=lfs -text
|
| 732 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/workflow/1280x720_seven_person.jpg filter=lfs diff=lfs merge=lfs -text
|
| 733 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/workflow/1280x720car.jpg filter=lfs diff=lfs merge=lfs -text
|
| 734 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/workflow/1280x768_city.png filter=lfs diff=lfs merge=lfs -text
|
| 735 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/workflow/1344x768_beach.png filter=lfs diff=lfs merge=lfs -text
|
| 736 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/workflow/1344x768_girl2.png filter=lfs diff=lfs merge=lfs -text
|
| 737 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/workflow/1344x768_hair.png filter=lfs diff=lfs merge=lfs -text
|
| 738 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/workflow/1344x768_redcar.png filter=lfs diff=lfs merge=lfs -text
|
| 739 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/workflow/1920x1080table.png filter=lfs diff=lfs merge=lfs -text
|
| 740 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/workflow/3840x2160car.jpg filter=lfs diff=lfs merge=lfs -text
|
| 741 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/workflow/512x512.png filter=lfs diff=lfs merge=lfs -text
|
| 742 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/workflow/768x1344_beach.png filter=lfs diff=lfs merge=lfs -text
|
| 743 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/workflow/768x1344_dress.png filter=lfs diff=lfs merge=lfs -text
|
| 744 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/workflow/fox_512x512.png filter=lfs diff=lfs merge=lfs -text
|
| 745 |
+
kim_comfyui_data/custom_nodes/comfyui_layerstyle/workflow/girl_dino_1024.png filter=lfs diff=lfs merge=lfs -text
|
| 746 |
+
kim_comfyui_data/custom_nodes/comfyui_lg_tools/assets/CachePreviewBridge.png filter=lfs diff=lfs merge=lfs -text
|
| 747 |
+
kim_comfyui_data/custom_nodes/comfyui_lg_tools/assets/FastCanvas.png filter=lfs diff=lfs merge=lfs -text
|
| 748 |
+
kim_comfyui_data/custom_nodes/comfyui_lg_tools/assets/color_adjust.jpg filter=lfs diff=lfs merge=lfs -text
|
| 749 |
+
kim_comfyui_data/custom_nodes/comfyui_lg_tools/assets/crop.jpg filter=lfs diff=lfs merge=lfs -text
|
| 750 |
+
kim_comfyui_data/custom_nodes/comfyui_lg_tools/assets/noise.jpg filter=lfs diff=lfs merge=lfs -text
|
| 751 |
+
kim_comfyui_data/custom_nodes/comfyui_lg_tools/assets/refresh.png filter=lfs diff=lfs merge=lfs -text
|
| 752 |
+
kim_comfyui_data/custom_nodes/comfyui_lg_tools/assets/size.jpg filter=lfs diff=lfs merge=lfs -text
|
| 753 |
+
kim_comfyui_data/custom_nodes/comfyui_lg_tools/assets/switch.jpg filter=lfs diff=lfs merge=lfs -text
|
| 754 |
+
kim_comfyui_data/custom_nodes/facerestore_cf/example.png filter=lfs diff=lfs merge=lfs -text
|
| 755 |
+
kim_comfyui_data/custom_nodes/pulid_comfyui/examples/pulid_wf.jpg filter=lfs diff=lfs merge=lfs -text
|
| 756 |
+
kim_comfyui_data/custom_nodes/rgthree-comfy/docs/rgthree_advanced.png filter=lfs diff=lfs merge=lfs -text
|
| 757 |
+
kim_comfyui_data/custom_nodes/rgthree-comfy/docs/rgthree_advanced_metadata.png filter=lfs diff=lfs merge=lfs -text
|
| 758 |
+
kim_comfyui_data/custom_nodes/rgthree-comfy/docs/rgthree_context.png filter=lfs diff=lfs merge=lfs -text
|
| 759 |
+
kim_comfyui_data/custom_nodes/rgthree-comfy/docs/rgthree_context_metadata.png filter=lfs diff=lfs merge=lfs -text
|
| 760 |
+
kim_comfyui_data/custom_nodes/was-ns/repos/SAM/assets/masks1.png filter=lfs diff=lfs merge=lfs -text
|
| 761 |
+
kim_comfyui_data/custom_nodes/was-ns/repos/SAM/assets/masks2.jpg filter=lfs diff=lfs merge=lfs -text
|
| 762 |
+
kim_comfyui_data/custom_nodes/was-ns/repos/SAM/assets/minidemo.gif filter=lfs diff=lfs merge=lfs -text
|
| 763 |
+
kim_comfyui_data/custom_nodes/was-ns/repos/SAM/assets/model_diagram.png filter=lfs diff=lfs merge=lfs -text
|
| 764 |
+
kim_comfyui_data/custom_nodes/was-ns/repos/SAM/assets/notebook1.png filter=lfs diff=lfs merge=lfs -text
|
| 765 |
+
kim_comfyui_data/custom_nodes/was-ns/repos/SAM/assets/notebook2.png filter=lfs diff=lfs merge=lfs -text
|
| 766 |
+
kim_comfyui_data/custom_nodes/was-ns/repos/SAM/demo/src/assets/data/dogs.jpg filter=lfs diff=lfs merge=lfs -text
|
| 767 |
+
kim_comfyui_data/custom_nodes/was-ns/repos/SAM/notebooks/images/groceries.jpg filter=lfs diff=lfs merge=lfs -text
|
| 768 |
+
kim_comfyui_data/custom_nodes/was-ns/repos/SAM/notebooks/images/truck.jpg filter=lfs diff=lfs merge=lfs -text
|
| 769 |
+
kim_comfyui_data/custom_nodes/zdx_comfyui/fonts/DejaVuSans.ttf filter=lfs diff=lfs merge=lfs -text
|
| 770 |
+
kim_comfyui_data/custom_nodes/zdx_comfyui/fonts/Itim-Regular-OTF.otf filter=lfs diff=lfs merge=lfs -text
|
| 771 |
+
kim_comfyui_data/custom_nodes/zdx_comfyui/fonts/Itim-Regular-TTF.ttf filter=lfs diff=lfs merge=lfs -text
|
| 772 |
+
kim_comfyui_data/custom_nodes/zdx_comfyui/fonts/arial.ttf filter=lfs diff=lfs merge=lfs -text
|
kim_comfyui_data/custom_nodes/Cheny_custom_nodes/__init__.py
ADDED
|
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# __init__.py
|
| 2 |
+
from .image_center_paste import NODE_CLASS_MAPPINGS as paste_mappings, NODE_DISPLAY_NAME_MAPPINGS as paste_display_mappings
|
| 3 |
+
from .yolov8_person_detect import NODE_CLASS_MAPPINGS as yolo_mappings, NODE_DISPLAY_NAME_MAPPINGS as yolo_display_mappings
|
| 4 |
+
from .yolov8_person_nomask import NODE_CLASS_MAPPINGS as yolo_nomask_mappings,NODE_DISPLAY_NAME_MAPPINGS as yolo_nomask_display_mappings
|
| 5 |
+
from .mask_solid_area import NODE_CLASS_MAPPINGS as mask_solid_area_mappings,NODE_DISPLAY_NAME_MAPPINGS as mask_solid_area_display_mappings
|
| 6 |
+
from .half_person_check import NODE_CLASS_MAPPINGS as half_person_check_mappings,NODE_DISPLAY_NAME_MAPPINGS as half_person_check_display_mappings
|
| 7 |
+
from .yolov8_detect import NODE_CLASS_MAPPINGS as yolov8_detect_mappings,NODE_DISPLAY_NAME_MAPPINGS as yolov8_detect_display_mappings
|
| 8 |
+
from .find_crop_box import NODE_CLASS_MAPPINGS as find_crop_box_mappings,NODE_DISPLAY_NAME_MAPPINGS as find_crop_box_display_mappings
|
| 9 |
+
from .reduce_mask_by_ratio import NODE_CLASS_MAPPINGS as reduce_mask_by_ratio_mappings,NODE_DISPLAY_NAME_MAPPINGS as reduce_mask_by_ratio_display_mappings
|
| 10 |
+
|
| 11 |
+
# 合并所有节点的映射
|
| 12 |
+
NODE_CLASS_MAPPINGS = {}
|
| 13 |
+
NODE_CLASS_MAPPINGS.update(paste_mappings)
|
| 14 |
+
NODE_CLASS_MAPPINGS.update(yolo_mappings)
|
| 15 |
+
NODE_CLASS_MAPPINGS.update(yolo_nomask_mappings)
|
| 16 |
+
NODE_CLASS_MAPPINGS.update(mask_solid_area_mappings)
|
| 17 |
+
NODE_CLASS_MAPPINGS.update(half_person_check_mappings)
|
| 18 |
+
NODE_CLASS_MAPPINGS.update(yolov8_detect_mappings)
|
| 19 |
+
NODE_CLASS_MAPPINGS.update(find_crop_box_mappings)
|
| 20 |
+
NODE_CLASS_MAPPINGS.update(reduce_mask_by_ratio_mappings)
|
| 21 |
+
|
| 22 |
+
NODE_DISPLAY_NAME_MAPPINGS = {}
|
| 23 |
+
NODE_DISPLAY_NAME_MAPPINGS.update(paste_display_mappings)
|
| 24 |
+
NODE_DISPLAY_NAME_MAPPINGS.update(yolo_display_mappings)
|
| 25 |
+
NODE_DISPLAY_NAME_MAPPINGS.update(yolo_nomask_display_mappings)
|
| 26 |
+
NODE_DISPLAY_NAME_MAPPINGS.update(mask_solid_area_display_mappings)
|
| 27 |
+
NODE_DISPLAY_NAME_MAPPINGS.update(half_person_check_display_mappings)
|
| 28 |
+
NODE_DISPLAY_NAME_MAPPINGS.update(yolov8_detect_display_mappings)
|
| 29 |
+
NODE_DISPLAY_NAME_MAPPINGS.update(find_crop_box_display_mappings)
|
| 30 |
+
NODE_DISPLAY_NAME_MAPPINGS.update(reduce_mask_by_ratio_display_mappings)
|
| 31 |
+
# 必须导出这两个变量
|
| 32 |
+
|
| 33 |
+
__all__ = ['NODE_CLASS_MAPPINGS', 'NODE_DISPLAY_NAME_MAPPINGS']
|
kim_comfyui_data/custom_nodes/Cheny_custom_nodes/blendmodes.py
ADDED
|
@@ -0,0 +1,329 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
"""
|
| 2 |
+
author: Chris Freilich
|
| 3 |
+
description: This extension provides a blend modes node with 30 blend modes.
|
| 4 |
+
"""
|
| 5 |
+
from PIL import Image
|
| 6 |
+
import numpy as np
|
| 7 |
+
import torch
|
| 8 |
+
import torch.nn.functional as F
|
| 9 |
+
from colorsys import rgb_to_hsv
|
| 10 |
+
|
| 11 |
+
try:
|
| 12 |
+
from blend_modes import difference, normal, screen, soft_light, lighten_only, dodge, \
|
| 13 |
+
addition, darken_only, multiply, hard_light, \
|
| 14 |
+
grain_extract, grain_merge, divide, overlay
|
| 15 |
+
except ImportError:
|
| 16 |
+
print("ERROR: blend_modes package is not installed. Please install it with: pip install blend-modes")
|
| 17 |
+
raise
|
| 18 |
+
|
| 19 |
+
def dissolve(backdrop, source, opacity):
|
| 20 |
+
# Normalize the RGB and alpha values to 0-1
|
| 21 |
+
backdrop_norm = backdrop[:, :, :3] / 255
|
| 22 |
+
source_norm = source[:, :, :3] / 255
|
| 23 |
+
source_alpha_norm = source[:, :, 3] / 255
|
| 24 |
+
|
| 25 |
+
# Calculate the transparency of each pixel in the source image
|
| 26 |
+
transparency = opacity * source_alpha_norm
|
| 27 |
+
|
| 28 |
+
# Generate a random matrix with the same shape as the source image
|
| 29 |
+
random_matrix = np.random.random(source.shape[:2])
|
| 30 |
+
|
| 31 |
+
# Create a mask where the random values are less than the transparency
|
| 32 |
+
mask = random_matrix < transparency
|
| 33 |
+
|
| 34 |
+
# Use the mask to select pixels from the source or backdrop
|
| 35 |
+
blend = np.where(mask[..., None], source_norm, backdrop_norm)
|
| 36 |
+
|
| 37 |
+
# Apply the alpha channel of the source image to the blended image
|
| 38 |
+
new_rgb = (1 - source_alpha_norm[..., None]) * backdrop_norm + source_alpha_norm[..., None] * blend
|
| 39 |
+
|
| 40 |
+
# Ensure the RGB values are within the valid range
|
| 41 |
+
new_rgb = np.clip(new_rgb, 0, 1)
|
| 42 |
+
|
| 43 |
+
# Convert the RGB values back to 0-255
|
| 44 |
+
new_rgb = new_rgb * 255
|
| 45 |
+
|
| 46 |
+
# Calculate the new alpha value by taking the maximum of the backdrop and source alpha channels
|
| 47 |
+
new_alpha = np.maximum(backdrop[:, :, 3], source[:, :, 3])
|
| 48 |
+
|
| 49 |
+
# Create a new RGBA image with the calculated RGB and alpha values
|
| 50 |
+
result = np.dstack((new_rgb, new_alpha))
|
| 51 |
+
|
| 52 |
+
return result
|
| 53 |
+
|
| 54 |
+
def rgb_to_hsv_via_torch(rgb_numpy: np.ndarray, device=None) -> torch.Tensor:
|
| 55 |
+
"""
|
| 56 |
+
Convert an RGB image to HSV.
|
| 57 |
+
|
| 58 |
+
:param rgb: A tensor of shape (3, H, W) where the three channels correspond to R, G, B.
|
| 59 |
+
The values should be in the range [0, 1].
|
| 60 |
+
:return: A tensor of shape (3, H, W) where the three channels correspond to H, S, V.
|
| 61 |
+
The hue (H) will be in the range [0, 1], while S and V will be in the range [0, 1].
|
| 62 |
+
"""
|
| 63 |
+
if device is None:
|
| 64 |
+
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
|
| 65 |
+
|
| 66 |
+
rgb = torch.from_numpy(rgb_numpy).float().permute(2, 0, 1).to(device)
|
| 67 |
+
r, g, b = rgb[0], rgb[1], rgb[2]
|
| 68 |
+
|
| 69 |
+
max_val, _ = torch.max(rgb, dim=0)
|
| 70 |
+
min_val, _ = torch.min(rgb, dim=0)
|
| 71 |
+
delta = max_val - min_val
|
| 72 |
+
|
| 73 |
+
h = torch.zeros_like(max_val)
|
| 74 |
+
s = torch.zeros_like(max_val)
|
| 75 |
+
v = max_val
|
| 76 |
+
|
| 77 |
+
# calc hue... avoid div by zero (by masking the delta)
|
| 78 |
+
mask = delta != 0
|
| 79 |
+
r_eq_max = (r == max_val) & mask
|
| 80 |
+
g_eq_max = (g == max_val) & mask
|
| 81 |
+
b_eq_max = (b == max_val) & mask
|
| 82 |
+
|
| 83 |
+
h[r_eq_max] = (g[r_eq_max] - b[r_eq_max]) / delta[r_eq_max] % 6
|
| 84 |
+
h[g_eq_max] = (b[g_eq_max] - r[g_eq_max]) / delta[g_eq_max] + 2.0
|
| 85 |
+
h[b_eq_max] = (r[b_eq_max] - g[b_eq_max]) / delta[b_eq_max] + 4.0
|
| 86 |
+
|
| 87 |
+
h = (h / 6.0) % 1.0
|
| 88 |
+
|
| 89 |
+
# calc saturation
|
| 90 |
+
s[max_val != 0] = delta[max_val != 0] / max_val[max_val != 0]
|
| 91 |
+
|
| 92 |
+
hsv = torch.stack([h, s, v], dim=0)
|
| 93 |
+
|
| 94 |
+
hsv_numpy = hsv.permute(1, 2, 0).cpu().numpy()
|
| 95 |
+
return hsv_numpy
|
| 96 |
+
|
| 97 |
+
def hsv_to_rgb_via_torch(hsv_numpy: np.ndarray, device=None) -> torch.Tensor:
|
| 98 |
+
"""
|
| 99 |
+
Convert an HSV image to RGB.
|
| 100 |
+
|
| 101 |
+
:param hsv: A tensor of shape (3, H, W) where the three channels correspond to H, S, V.
|
| 102 |
+
The H channel values should be in the range [0, 1], while S and V will be in the range [0, 1].
|
| 103 |
+
:return: A tensor of shape (3, H, W) where the three channels correspond to R, G, B.
|
| 104 |
+
The RGB values will be in the range [0, 1].
|
| 105 |
+
"""
|
| 106 |
+
if device is None:
|
| 107 |
+
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
|
| 108 |
+
|
| 109 |
+
hsv = torch.from_numpy(hsv_numpy).float().permute(2, 0, 1).to(device)
|
| 110 |
+
h, s, v = hsv[0], hsv[1], hsv[2]
|
| 111 |
+
|
| 112 |
+
c = v * s # chroma
|
| 113 |
+
x = c * (1 - torch.abs((h * 6) % 2 - 1))
|
| 114 |
+
m = v - c # match value
|
| 115 |
+
|
| 116 |
+
z = torch.zeros_like(h)
|
| 117 |
+
rgb = torch.zeros_like(hsv)
|
| 118 |
+
|
| 119 |
+
# define conditions for different hue ranges
|
| 120 |
+
h_cond = [
|
| 121 |
+
(h < 1/6, torch.stack([c, x, z], dim=0)),
|
| 122 |
+
((1/6 <= h) & (h < 2/6), torch.stack([x, c, z], dim=0)),
|
| 123 |
+
((2/6 <= h) & (h < 3/6), torch.stack([z, c, x], dim=0)),
|
| 124 |
+
((3/6 <= h) & (h < 4/6), torch.stack([z, x, c], dim=0)),
|
| 125 |
+
((4/6 <= h) & (h < 5/6), torch.stack([x, z, c], dim=0)),
|
| 126 |
+
(h >= 5/6, torch.stack([c, z, x], dim=0)),
|
| 127 |
+
]
|
| 128 |
+
|
| 129 |
+
# conditionally set RGB values based on the hue range
|
| 130 |
+
for cond, result in h_cond:
|
| 131 |
+
rgb[:, cond] = result[:, cond]
|
| 132 |
+
|
| 133 |
+
# add match value to convert to final RGB values
|
| 134 |
+
rgb = rgb + m
|
| 135 |
+
|
| 136 |
+
rgb_numpy = rgb.permute(1, 2, 0).cpu().numpy()
|
| 137 |
+
return rgb_numpy
|
| 138 |
+
|
| 139 |
+
def hsv(backdrop, source, opacity, channel):
|
| 140 |
+
|
| 141 |
+
# Convert RGBA to RGB, normalized
|
| 142 |
+
backdrop_rgb = backdrop[:, :, :3] / 255.0
|
| 143 |
+
source_rgb = source[:, :, :3] / 255.0
|
| 144 |
+
source_alpha = source[:, :, 3] / 255.0
|
| 145 |
+
|
| 146 |
+
# Convert RGB to HSV
|
| 147 |
+
backdrop_hsv = rgb_to_hsv_via_torch(backdrop_rgb)
|
| 148 |
+
source_hsv = rgb_to_hsv_via_torch(source_rgb)
|
| 149 |
+
|
| 150 |
+
# Combine HSV values
|
| 151 |
+
new_hsv = backdrop_hsv.copy()
|
| 152 |
+
|
| 153 |
+
# Determine which channel to operate on
|
| 154 |
+
if channel == "saturation":
|
| 155 |
+
new_hsv[:, :, 1] = (1 - opacity * source_alpha) * backdrop_hsv[:, :, 1] + opacity * source_alpha * source_hsv[:, :, 1]
|
| 156 |
+
elif channel == "luminance":
|
| 157 |
+
new_hsv[:, :, 2] = (1 - opacity * source_alpha) * backdrop_hsv[:, :, 2] + opacity * source_alpha * source_hsv[:, :, 2]
|
| 158 |
+
elif channel == "hue":
|
| 159 |
+
new_hsv[:, :, 0] = (1 - opacity * source_alpha) * backdrop_hsv[:, :, 0] + opacity * source_alpha * source_hsv[:, :, 0]
|
| 160 |
+
elif channel == "color":
|
| 161 |
+
new_hsv[:, :, :2] = (1 - opacity * source_alpha[..., None]) * backdrop_hsv[:, :, :2] + opacity * source_alpha[..., None] * source_hsv[:, :, :2]
|
| 162 |
+
|
| 163 |
+
# Convert HSV back to RGB
|
| 164 |
+
new_rgb = hsv_to_rgb_via_torch(new_hsv)
|
| 165 |
+
|
| 166 |
+
# Apply the alpha channel of the source image to the new RGB image
|
| 167 |
+
new_rgb = (1 - source_alpha[..., None]) * backdrop_rgb + source_alpha[..., None] * new_rgb
|
| 168 |
+
|
| 169 |
+
# Ensure the RGB values are within the valid range
|
| 170 |
+
new_rgb = np.clip(new_rgb, 0, 1)
|
| 171 |
+
|
| 172 |
+
# Convert RGB back to RGBA and scale to 0-255 range
|
| 173 |
+
new_rgba = np.dstack((new_rgb * 255, backdrop[:, :, 3]))
|
| 174 |
+
|
| 175 |
+
return new_rgba.astype(np.uint8)
|
| 176 |
+
|
| 177 |
+
def saturation(backdrop, source, opacity):
|
| 178 |
+
return hsv(backdrop, source, opacity, "saturation")
|
| 179 |
+
|
| 180 |
+
def luminance(backdrop, source, opacity):
|
| 181 |
+
return hsv(backdrop, source, opacity, "luminance")
|
| 182 |
+
|
| 183 |
+
def hue(backdrop, source, opacity):
|
| 184 |
+
return hsv(backdrop, source, opacity, "hue")
|
| 185 |
+
|
| 186 |
+
def color(backdrop, source, opacity):
|
| 187 |
+
return hsv(backdrop, source, opacity, "color")
|
| 188 |
+
|
| 189 |
+
def darker_lighter_color(backdrop, source, opacity, type):
|
| 190 |
+
|
| 191 |
+
# Normalize the RGB and alpha values to 0-1
|
| 192 |
+
backdrop_norm = backdrop[:, :, :3] / 255
|
| 193 |
+
source_norm = source[:, :, :3] / 255
|
| 194 |
+
source_alpha_norm = source[:, :, 3] / 255
|
| 195 |
+
|
| 196 |
+
# Convert RGB to HSV
|
| 197 |
+
backdrop_hsv = np.array([rgb_to_hsv(*rgb) for row in backdrop_norm for rgb in row]).reshape(backdrop.shape[:2] + (3,))
|
| 198 |
+
source_hsv = np.array([rgb_to_hsv(*rgb) for row in source_norm for rgb in row]).reshape(source.shape[:2] + (3,))
|
| 199 |
+
|
| 200 |
+
# Create a mask where the value (brightness) of the source image is less than the value of the backdrop image
|
| 201 |
+
if type == "dark":
|
| 202 |
+
mask = source_hsv[:, :, 2] < backdrop_hsv[:, :, 2]
|
| 203 |
+
else:
|
| 204 |
+
mask = source_hsv[:, :, 2] > backdrop_hsv[:, :, 2]
|
| 205 |
+
|
| 206 |
+
# Use the mask to select pixels from the source or backdrop
|
| 207 |
+
blend = np.where(mask[..., None], source_norm, backdrop_norm)
|
| 208 |
+
|
| 209 |
+
# Apply the alpha channel of the source image to the blended image
|
| 210 |
+
new_rgb = (1 - source_alpha_norm[..., None] * opacity) * backdrop_norm + source_alpha_norm[..., None] * opacity * blend
|
| 211 |
+
|
| 212 |
+
# Ensure the RGB values are within the valid range
|
| 213 |
+
new_rgb = np.clip(new_rgb, 0, 1)
|
| 214 |
+
|
| 215 |
+
# Convert the RGB values back to 0-255
|
| 216 |
+
new_rgb = new_rgb * 255
|
| 217 |
+
|
| 218 |
+
# Calculate the new alpha value by taking the maximum of the backdrop and source alpha channels
|
| 219 |
+
new_alpha = np.maximum(backdrop[:, :, 3], source[:, :, 3])
|
| 220 |
+
|
| 221 |
+
# Create a new RGBA image with the calculated RGB and alpha values
|
| 222 |
+
result = np.dstack((new_rgb, new_alpha))
|
| 223 |
+
|
| 224 |
+
return result
|
| 225 |
+
|
| 226 |
+
def darker_color(backdrop, source, opacity):
|
| 227 |
+
return darker_lighter_color(backdrop, source, opacity, "dark")
|
| 228 |
+
|
| 229 |
+
def lighter_color(backdrop, source, opacity):
|
| 230 |
+
return darker_lighter_color(backdrop, source, opacity, "light")
|
| 231 |
+
|
| 232 |
+
def simple_mode(backdrop, source, opacity, mode):
|
| 233 |
+
# Normalize the RGB and alpha values to 0-1
|
| 234 |
+
backdrop_norm = backdrop[:, :, :3] / 255
|
| 235 |
+
source_norm = source[:, :, :3] / 255
|
| 236 |
+
source_alpha_norm = source[:, :, 3:4] / 255
|
| 237 |
+
|
| 238 |
+
# Calculate the blend without any transparency considerations
|
| 239 |
+
if mode == "linear_burn":
|
| 240 |
+
blend = backdrop_norm + source_norm - 1
|
| 241 |
+
elif mode == "linear_light":
|
| 242 |
+
blend = backdrop_norm + (2 * source_norm) - 1
|
| 243 |
+
elif mode == "color_dodge":
|
| 244 |
+
blend = backdrop_norm / (1 - source_norm)
|
| 245 |
+
blend = np.clip(blend, 0, 1)
|
| 246 |
+
elif mode == "color_burn":
|
| 247 |
+
blend = 1 - ((1 - backdrop_norm) / source_norm)
|
| 248 |
+
blend = np.clip(blend, 0, 1)
|
| 249 |
+
elif mode == "exclusion":
|
| 250 |
+
blend = backdrop_norm + source_norm - (2 * backdrop_norm * source_norm)
|
| 251 |
+
elif mode == "subtract":
|
| 252 |
+
blend = backdrop_norm - source_norm
|
| 253 |
+
elif mode == "vivid_light":
|
| 254 |
+
blend = np.where(source_norm <= 0.5, backdrop_norm / (1 - 2 * source_norm), 1 - (1 -backdrop_norm) / (2 * source_norm - 0.5) )
|
| 255 |
+
blend = np.clip(blend, 0, 1)
|
| 256 |
+
elif mode == "pin_light":
|
| 257 |
+
blend = np.where(source_norm <= 0.5, np.minimum(backdrop_norm, 2 * source_norm), np.maximum(backdrop_norm, 2 * (source_norm - 0.5)))
|
| 258 |
+
elif mode == "hard_mix":
|
| 259 |
+
blend = simple_mode(backdrop, source, opacity, "linear_light")
|
| 260 |
+
blend = np.round(blend[:, :, :3] / 255)
|
| 261 |
+
|
| 262 |
+
# Apply the blended layer back onto the backdrop layer while utilizing the alpha channel and opacity information
|
| 263 |
+
new_rgb = (1 - source_alpha_norm * opacity) * backdrop_norm + source_alpha_norm * opacity * blend
|
| 264 |
+
|
| 265 |
+
# Ensure the RGB values are within the valid range
|
| 266 |
+
new_rgb = np.clip(new_rgb, 0, 1)
|
| 267 |
+
|
| 268 |
+
# Convert the RGB values back to 0-255
|
| 269 |
+
new_rgb = new_rgb * 255
|
| 270 |
+
|
| 271 |
+
# Calculate the new alpha value by taking the maximum of the backdrop and source alpha channels
|
| 272 |
+
new_alpha = np.maximum(backdrop[:, :, 3], source[:, :, 3])
|
| 273 |
+
|
| 274 |
+
# Create a new RGBA image with the calculated RGB and alpha values
|
| 275 |
+
result = np.dstack((new_rgb, new_alpha))
|
| 276 |
+
|
| 277 |
+
return result
|
| 278 |
+
|
| 279 |
+
def linear_light(backdrop, source, opacity):
|
| 280 |
+
return simple_mode(backdrop, source, opacity, "linear_light")
|
| 281 |
+
def vivid_light(backdrop, source, opacity):
|
| 282 |
+
return simple_mode(backdrop, source, opacity, "vivid_light")
|
| 283 |
+
def pin_light(backdrop, source, opacity):
|
| 284 |
+
return simple_mode(backdrop, source, opacity, "pin_light")
|
| 285 |
+
def hard_mix(backdrop, source, opacity):
|
| 286 |
+
return simple_mode(backdrop, source, opacity, "hard_mix")
|
| 287 |
+
def linear_burn(backdrop, source, opacity):
|
| 288 |
+
return simple_mode(backdrop, source, opacity, "linear_burn")
|
| 289 |
+
def color_dodge(backdrop, source, opacity):
|
| 290 |
+
return simple_mode(backdrop, source, opacity, "color_dodge")
|
| 291 |
+
def color_burn(backdrop, source, opacity):
|
| 292 |
+
return simple_mode(backdrop, source, opacity, "color_burn")
|
| 293 |
+
def exclusion(backdrop, source, opacity):
|
| 294 |
+
return simple_mode(backdrop, source, opacity, "exclusion")
|
| 295 |
+
def subtract(backdrop, source, opacity):
|
| 296 |
+
return simple_mode(backdrop, source, opacity, "subtract")
|
| 297 |
+
|
| 298 |
+
BLEND_MODES = {
|
| 299 |
+
"normal": normal,
|
| 300 |
+
"dissolve": dissolve,
|
| 301 |
+
"darken": darken_only,
|
| 302 |
+
"multiply": multiply,
|
| 303 |
+
"color burn": color_burn,
|
| 304 |
+
"linear burn": linear_burn,
|
| 305 |
+
"darker color": darker_color,
|
| 306 |
+
"lighten": lighten_only,
|
| 307 |
+
"screen": screen,
|
| 308 |
+
"color dodge": color_dodge,
|
| 309 |
+
"linear dodge(add)": addition,
|
| 310 |
+
"lighter color": lighter_color,
|
| 311 |
+
"dodge": dodge,
|
| 312 |
+
"overlay": overlay,
|
| 313 |
+
"soft light": soft_light,
|
| 314 |
+
"hard light": hard_light,
|
| 315 |
+
"vivid light": vivid_light,
|
| 316 |
+
"linear light": linear_light,
|
| 317 |
+
"pin light": pin_light,
|
| 318 |
+
"hard mix": hard_mix,
|
| 319 |
+
"difference": difference,
|
| 320 |
+
"exclusion": exclusion,
|
| 321 |
+
"subtract": subtract,
|
| 322 |
+
"divide": divide,
|
| 323 |
+
"hue": hue,
|
| 324 |
+
"saturation": saturation,
|
| 325 |
+
"color": color,
|
| 326 |
+
"luminosity": luminance,
|
| 327 |
+
"grain extract": grain_extract,
|
| 328 |
+
"grain merge": grain_merge
|
| 329 |
+
}
|
kim_comfyui_data/custom_nodes/Cheny_custom_nodes/face_create_hole.py
ADDED
|
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import torch
|
| 2 |
+
import os
|
| 3 |
+
|
| 4 |
+
from PIL import Image,ImageDraw
|
| 5 |
+
import glob
|
| 6 |
+
import numpy as np
|
| 7 |
+
import cv2
|
| 8 |
+
from ultralytics import YOLO
|
| 9 |
+
|
| 10 |
+
def tensor2pil(image):
|
| 11 |
+
if len(image.shape)<3:
|
| 12 |
+
image=image.unsqueeze(0)
|
| 13 |
+
return Image.fromarray((image[0].cpu().numpy()*255).astype(np.uint8))
|
| 14 |
+
|
| 15 |
+
def pil2tensor(image):
|
| 16 |
+
new_image=image.convert('RGB')
|
| 17 |
+
new_array=np.array(new_image).astype(np.float32)/255.-
|
| 18 |
+
new_tensor=torch.tensor(new_array)
|
| 19 |
+
return new_tensor.unsqueeze(0)
|
| 20 |
+
|
kim_comfyui_data/custom_nodes/Cheny_custom_nodes/find_crop_box.py
ADDED
|
@@ -0,0 +1,61 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import torch
|
| 2 |
+
import numpy as np
|
| 3 |
+
from PIL import Image
|
| 4 |
+
|
| 5 |
+
def tensor2np(image):
|
| 6 |
+
if len(image.shape)<3:
|
| 7 |
+
image=image.unsqueeze(0)
|
| 8 |
+
|
| 9 |
+
return (image.cpu().numpy()*255).astype(np.uint8)
|
| 10 |
+
|
| 11 |
+
def np2tensor(image):
|
| 12 |
+
image=image.astype(np.float32)/255
|
| 13 |
+
image=torch.tensor(image)
|
| 14 |
+
return image.unsqueeze(0)
|
| 15 |
+
|
| 16 |
+
class FindCropBox:
|
| 17 |
+
CATEGORY="My Nodes/Find Crop Box"
|
| 18 |
+
RETURN_TYPES=("INT","INT","INT","INT")
|
| 19 |
+
RETURN_NAMES=("x","y","width","height")
|
| 20 |
+
FUNCTION="find_crop_box"
|
| 21 |
+
|
| 22 |
+
@classmethod
|
| 23 |
+
def INPUT_TYPES(cls):
|
| 24 |
+
return {
|
| 25 |
+
"required":{
|
| 26 |
+
"destination":("IMAGE",),
|
| 27 |
+
"source":("IMAGE",),
|
| 28 |
+
},
|
| 29 |
+
}
|
| 30 |
+
|
| 31 |
+
def find_crop_box(self,destination,source):
|
| 32 |
+
destination_np=tensor2np(destination)
|
| 33 |
+
source_np=tensor2np(source)
|
| 34 |
+
|
| 35 |
+
# destination_np / source_np: (B, H, W) or (B, H, W, C)
|
| 36 |
+
d_h, d_w = destination_np.shape[1], destination_np.shape[2]
|
| 37 |
+
s_h, s_w = source_np.shape[1], source_np.shape[2]
|
| 38 |
+
|
| 39 |
+
h_bound = d_h - s_h
|
| 40 |
+
w_bound = d_w - s_w
|
| 41 |
+
|
| 42 |
+
# 在 destination 中滑动窗口，查找与 source 完全相同的区域
|
| 43 |
+
for i in range(h_bound + 1):
|
| 44 |
+
for j in range(w_bound + 1):
|
| 45 |
+
# 取出 destination 中的一个候选区域，保留全部通道维度（若存在）
|
| 46 |
+
patch = destination_np[0, i:i + s_h, j:j + s_w, ...]
|
| 47 |
+
target = source_np[0, :s_h, :s_w, ...]
|
| 48 |
+
if np.array_equal(patch, target):
|
| 49 |
+
return (j, i, s_w, s_h)
|
| 50 |
+
|
| 51 |
+
return (0,0,0,0,)
|
| 52 |
+
|
| 53 |
+
NODE_CLASS_MAPPINGS={
|
| 54 |
+
"FindCropBox":FindCropBox
|
| 55 |
+
}
|
| 56 |
+
|
| 57 |
+
NODE_DISPLAY_NAME_MAPPINGS={
|
| 58 |
+
"FindCropBox":"Find Crop Box(My Node)"
|
| 59 |
+
}
|
| 60 |
+
|
| 61 |
+
|
kim_comfyui_data/custom_nodes/Cheny_custom_nodes/half_person_check.py
ADDED
|
@@ -0,0 +1,256 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
from PIL import Image
|
| 2 |
+
import numpy as np
|
| 3 |
+
import cv2
|
| 4 |
+
import torch
|
| 5 |
+
from ultralytics import YOLO
|
| 6 |
+
|
| 7 |
+
def tensor2pil(image):
|
| 8 |
+
if len(image.shape)<3:
|
| 9 |
+
image=image.unsqueeze(0) #在第0维加一个维度，数值为1，保证二维图像前面有个1能读取到整个图像，RGB图像一般都是四维的，灰度其实一般也都是三维
|
| 10 |
+
#image[0]是确保去掉第0维，取到完整图片
|
| 11 |
+
return Image.fromarray((image[0].cpu().numpy()*255).astype(np.uint8)) #Comfyui输入图片格式为归一化的tensor，需要*255，fromarray相当于由numpy生成PIL图片
|
| 12 |
+
|
| 13 |
+
def pil2tensor(image):
|
| 14 |
+
new_image=image.convert('RGB')
|
| 15 |
+
new_array=np.array(new_image).astype(np.float32)/255
|
| 16 |
+
new_tensor=torch.tensor(new_array)
|
| 17 |
+
return new_tensor.unsqueeze(0) #增加batch维度,数值为1
|
| 18 |
+
|
| 19 |
+
class half_person_check:
|
| 20 |
+
def __init__(self, model_path="/data/models/yolo/yolov8n-pose.pt"):
|
| 21 |
+
self.model = YOLO(model_path)
|
| 22 |
+
self.KEYPOINTS = {
|
| 23 |
+
"nose": 0, "left_eye": 1, "right_eye": 2, "left_ear": 3, "right_ear": 4,
|
| 24 |
+
"left_shoulder": 5, "right_shoulder": 6, "left_elbow": 7, "right_elbow": 8,
|
| 25 |
+
"left_wrist": 9, "right_wrist": 10, "left_hip": 11, "right_hip": 12,
|
| 26 |
+
"left_knee": 13, "right_knee": 14, "left_ankle": 15, "right_ankle": 16
|
| 27 |
+
}
|
| 28 |
+
|
| 29 |
+
# 定义关键点之间的连接关系（用于绘制骨架）
|
| 30 |
+
self.SKELETON = [
|
| 31 |
+
# 头部连接
|
| 32 |
+
[0, 1], [0, 2], [1, 3], [2, 4], # nose->eyes->ears
|
| 33 |
+
# 躯干连接
|
| 34 |
+
[5, 6], [5, 11], [6, 12], [11, 12], # shoulders, hips
|
| 35 |
+
# 左臂
|
| 36 |
+
[5, 7], [7, 9], # left_shoulder->left_elbow->left_wrist
|
| 37 |
+
# 右臂
|
| 38 |
+
[6, 8], [8, 10], # right_shoulder->right_elbow->right_wrist
|
| 39 |
+
# 左腿
|
| 40 |
+
[11, 13], [13, 15], # left_hip->left_knee->left_ankle
|
| 41 |
+
# 右腿
|
| 42 |
+
[12, 14], [14, 16], # right_hip->right_knee->right_ankle
|
| 43 |
+
]
|
| 44 |
+
|
| 45 |
+
# 关键点颜色（BGR格式）
|
| 46 |
+
self.KP_COLORS = [
|
| 47 |
+
(255, 0, 0), # nose - 红色
|
| 48 |
+
(255, 85, 0), # left_eye
|
| 49 |
+
(255, 170, 0), # right_eye
|
| 50 |
+
(255, 255, 0), # left_ear
|
| 51 |
+
(170, 255, 0), # right_ear
|
| 52 |
+
(85, 255, 0), # left_shoulder
|
| 53 |
+
(0, 255, 0), # right_shoulder - 绿色
|
| 54 |
+
(0, 255, 85), # left_elbow
|
| 55 |
+
(0, 255, 170),# right_elbow
|
| 56 |
+
(0, 255, 255),# left_wrist
|
| 57 |
+
(0, 170, 255),# right_wrist
|
| 58 |
+
(0, 85, 255), # left_hip
|
| 59 |
+
(0, 0, 255), # right_hip - 蓝色
|
| 60 |
+
(85, 0, 255), # left_knee
|
| 61 |
+
(170, 0, 255),# right_knee
|
| 62 |
+
(255, 0, 255),# left_ankle
|
| 63 |
+
(255, 0, 170),# right_ankle
|
| 64 |
+
]
|
| 65 |
+
|
| 66 |
+
# 连接线颜色（BGR格式）
|
| 67 |
+
self.LINE_COLOR = (0, 255, 255) # 黄色
|
| 68 |
+
|
| 69 |
+
def check_half_person_from_array(self, image_bgr, knee_conf=0.5, ankle_conf=0.8):
|
| 70 |
+
"""
|
| 71 |
+
从BGR格式的numpy数组检测姿态
|
| 72 |
+
"""
|
| 73 |
+
# conf 参数：检测置信度阈值（confidence threshold）
|
| 74 |
+
# 范围: 0.0 - 1.0
|
| 75 |
+
# 含义: 只有检测到的人体边界框置信度 >= conf 时，才会被返回
|
| 76 |
+
# 例如: conf=0.5 表示只返回置信度 >= 0.5 的检测结果
|
| 77 |
+
# 值越小，检测越宽松（可能包含更多误检）
|
| 78 |
+
# 值越大，检测越严格（只返回高置信度的结果）
|
| 79 |
+
results = self.model(image_bgr, conf=0.5)
|
| 80 |
+
|
| 81 |
+
if len(results[0].boxes) == 0:
|
| 82 |
+
return None
|
| 83 |
+
|
| 84 |
+
# 取第一张图片的所有识别姿态
|
| 85 |
+
# keypoints.data 形状: [num_persons, 17, 3]
|
| 86 |
+
# 第三维格式: [x坐标, y坐标, 置信度]
|
| 87 |
+
keypoints = results[0].keypoints.data.cpu().numpy()
|
| 88 |
+
|
| 89 |
+
# 取一张图片第一个检测到的人体
|
| 90 |
+
# best_keypoints 形状: [17, 3] - 17个关键点，每个关键点是 [x, y, confidence]
|
| 91 |
+
# 重要：无论关键点是否可见，模型都会返回所有17个关键点的数据
|
| 92 |
+
# 不可见的关键点：置信度接近0，但坐标和置信度值仍然存在
|
| 93 |
+
best_keypoints = keypoints[0].tolist()
|
| 94 |
+
|
| 95 |
+
# 检查是否只有下半身
|
| 96 |
+
# best_keypoints[index] 返回格式: [x, y, confidence] - 长度为3的列表
|
| 97 |
+
# 例如: [123.45, 456.78, 0.95] 表示 x=123.45, y=456.78, 置信度=0.95
|
| 98 |
+
left_knee = best_keypoints[self.KEYPOINTS["left_knee"]] # [x, y, confidence]
|
| 99 |
+
right_knee = best_keypoints[self.KEYPOINTS["right_knee"]] # [x, y, confidence]
|
| 100 |
+
left_ankle = best_keypoints[self.KEYPOINTS["left_ankle"]] # [x, y, confidence]
|
| 101 |
+
right_ankle = best_keypoints[self.KEYPOINTS["right_ankle"]] # [x, y, confidence]
|
| 102 |
+
|
| 103 |
+
|
| 104 |
+
if left_knee[2] > knee_conf or right_knee[2] > knee_conf:
|
| 105 |
+
boolean=True
|
| 106 |
+
return image_bgr, best_keypoints, boolean
|
| 107 |
+
elif left_ankle[2] > ankle_conf or right_ankle[2] > ankle_conf:
|
| 108 |
+
boolean=True
|
| 109 |
+
return image_bgr, best_keypoints, boolean
|
| 110 |
+
else:
|
| 111 |
+
boolean=False
|
| 112 |
+
return image_bgr, best_keypoints, boolean
|
| 113 |
+
|
| 114 |
+
def check_half_person(self,image_path,knee_conf=0.5,ankle_conf=0.8):
|
| 115 |
+
image=Image.open(image_path)
|
| 116 |
+
image=np.array(image)
|
| 117 |
+
# RGB转BGR
|
| 118 |
+
image=cv2.cvtColor(image,cv2.COLOR_RGB2BGR)
|
| 119 |
+
|
| 120 |
+
return self.check_half_person_from_array(image, knee_conf, ankle_conf)
|
| 121 |
+
|
| 122 |
+
|
| 123 |
+
|
| 124 |
+
def draw_pose(self, image, keypoints_list, confidence_threshold=0.5, line_thickness=4, point_radius=5):
|
| 125 |
+
"""
|
| 126 |
+
在图像上绘制姿态图
|
| 127 |
+
|
| 128 |
+
Args:
|
| 129 |
+
image: 原始图像 (BGR格式)
|
| 130 |
+
keypoints_list: 关键点列表，格式为 [17, 3]，每个关键点是 [x, y, confidence]
|
| 131 |
+
confidence_threshold: 置信度阈值，低于此值的关键点不绘制
|
| 132 |
+
line_thickness: 连接线粗细
|
| 133 |
+
point_radius: 关键点圆圈半径
|
| 134 |
+
|
| 135 |
+
Returns:
|
| 136 |
+
绘制了姿态的图像
|
| 137 |
+
"""
|
| 138 |
+
# 复制图像，避免修改原图
|
| 139 |
+
pose_image = image.copy()
|
| 140 |
+
|
| 141 |
+
# 将关键点转换为numpy数组便于处理
|
| 142 |
+
if isinstance(keypoints_list, list):
|
| 143 |
+
keypoints = np.array(keypoints_list)
|
| 144 |
+
else:
|
| 145 |
+
keypoints = keypoints_list
|
| 146 |
+
|
| 147 |
+
# 绘制连接线（骨架）
|
| 148 |
+
for connection in self.SKELETON:
|
| 149 |
+
pt1_idx, pt2_idx = connection
|
| 150 |
+
pt1 = keypoints[pt1_idx]
|
| 151 |
+
pt2 = keypoints[pt2_idx]
|
| 152 |
+
|
| 153 |
+
# 只有当两个关键点的置信度都超过阈值时才绘制连接线
|
| 154 |
+
if pt1[2] > confidence_threshold and pt2[2] > confidence_threshold:
|
| 155 |
+
pt1_coord = (int(pt1[0]), int(pt1[1]))
|
| 156 |
+
pt2_coord = (int(pt2[0]), int(pt2[1]))
|
| 157 |
+
cv2.line(pose_image, pt1_coord, pt2_coord, self.LINE_COLOR, line_thickness)
|
| 158 |
+
|
| 159 |
+
# 绘制关键点
|
| 160 |
+
for i, kp in enumerate(keypoints):
|
| 161 |
+
x, y, conf = kp
|
| 162 |
+
if conf > confidence_threshold:
|
| 163 |
+
center = (int(x), int(y))
|
| 164 |
+
color = self.KP_COLORS[i]
|
| 165 |
+
# 绘制实心圆
|
| 166 |
+
cv2.circle(pose_image, center, point_radius, color, -1)
|
| 167 |
+
# 绘制外圈（更明显）
|
| 168 |
+
cv2.circle(pose_image, center, point_radius + 2, (255, 255, 255), 1)
|
| 169 |
+
|
| 170 |
+
return pose_image
|
| 171 |
+
|
| 172 |
+
|
| 173 |
+
|
| 174 |
+
class half_person_check_node:
|
| 175 |
+
CATEGORY="My Nodes/half person check"
|
| 176 |
+
RETURN_TYPES=("BOOLEAN","IMAGE",)
|
| 177 |
+
RETURN_NAMES=("boolean","pose_image",)
|
| 178 |
+
FUNCTION="check_half"
|
| 179 |
+
|
| 180 |
+
def __init__(self):
|
| 181 |
+
# 初始化检测器（只加载一次模型）
|
| 182 |
+
self.checker = half_person_check()
|
| 183 |
+
|
| 184 |
+
@classmethod
|
| 185 |
+
def INPUT_TYPES(cls):
|
| 186 |
+
return{
|
| 187 |
+
"required":{
|
| 188 |
+
"image":("IMAGE",),
|
| 189 |
+
},
|
| 190 |
+
"optional":{
|
| 191 |
+
"knee_conf":("FLOAT",{
|
| 192 |
+
"default":0.5,
|
| 193 |
+
"min":0.0,
|
| 194 |
+
"max":1.0,
|
| 195 |
+
"step":0.01,
|
| 196 |
+
}),
|
| 197 |
+
"ankle_conf":("FLOAT",{
|
| 198 |
+
"default":0.7,
|
| 199 |
+
"min":0.0,
|
| 200 |
+
"max":1.0,
|
| 201 |
+
"step":0.01,
|
| 202 |
+
}),
|
| 203 |
+
"draw_conf":("FLOAT",{
|
| 204 |
+
"default":0.5,
|
| 205 |
+
"min":0.0,
|
| 206 |
+
"max":1.0,
|
| 207 |
+
"step":0.01,
|
| 208 |
+
}),
|
| 209 |
+
"line_thickness":("INT",{
|
| 210 |
+
"default":4,
|
| 211 |
+
"min":1,
|
| 212 |
+
"max":10,
|
| 213 |
+
"step":1,
|
| 214 |
+
}),
|
| 215 |
+
"point_radius":("INT",{
|
| 216 |
+
"default":5,
|
| 217 |
+
"min":1,
|
| 218 |
+
"max":10,
|
| 219 |
+
"step":1,
|
| 220 |
+
})
|
| 221 |
+
}
|
| 222 |
+
}
|
| 223 |
+
|
| 224 |
+
def check_half(self, image, knee_conf, ankle_conf, draw_conf, line_thickness, point_radius):
|
| 225 |
+
# 将tensor转换为PIL Image
|
| 226 |
+
pil_image = tensor2pil(image)
|
| 227 |
+
# 转换为numpy数组，然后转BGR格式
|
| 228 |
+
image_np = np.array(pil_image)
|
| 229 |
+
image_bgr = cv2.cvtColor(image_np, cv2.COLOR_RGB2BGR)
|
| 230 |
+
|
| 231 |
+
# 检测姿态（传入BGR格式的numpy数组）
|
| 232 |
+
result = self.checker.check_half_person_from_array(image_bgr, knee_conf, ankle_conf)
|
| 233 |
+
|
| 234 |
+
if result is None:
|
| 235 |
+
# 没有检测到人体，返回原图和False
|
| 236 |
+
return (False, image,)
|
| 237 |
+
|
| 238 |
+
result_img, result_keypoints, result_boolean = result
|
| 239 |
+
|
| 240 |
+
# 绘制姿态
|
| 241 |
+
pose_image = self.checker.draw_pose(result_img, result_keypoints, draw_conf, line_thickness, point_radius)
|
| 242 |
+
|
| 243 |
+
# 将BGR转回RGB，然后转换为tensor
|
| 244 |
+
pose_image_rgb = cv2.cvtColor(pose_image, cv2.COLOR_BGR2RGB)
|
| 245 |
+
pose_image_pil = Image.fromarray(pose_image_rgb)
|
| 246 |
+
pose_image_tensor = pil2tensor(pose_image_pil)
|
| 247 |
+
|
| 248 |
+
return (result_boolean, pose_image_tensor,)
|
| 249 |
+
|
| 250 |
+
NODE_CLASS_MAPPINGS={
|
| 251 |
+
"half_person_check_node":half_person_check_node
|
| 252 |
+
}
|
| 253 |
+
|
| 254 |
+
NODE_DISPLAY_NAME_MAPPINGS={
|
| 255 |
+
"half_person_check_node":"half_person_check_node(My Node)"
|
| 256 |
+
}
|
kim_comfyui_data/custom_nodes/Cheny_custom_nodes/image_center_paste.py
ADDED
|
@@ -0,0 +1,118 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import torch
|
| 2 |
+
import numpy as np
|
| 3 |
+
from PIL import Image
|
| 4 |
+
|
| 5 |
+
def tensor2pil(image):
|
| 6 |
+
if len(image.shape)<3:
|
| 7 |
+
image=image.unsqueeze(0) #在第0维加一个维度，数值为1，保证二维图像前面有个1能读取到整个图像，RGB图像一般都是四维的，灰度其实一般也都是三维
|
| 8 |
+
#image[0]是确保去掉第0维，取到完整图片
|
| 9 |
+
return Image.fromarray((image[0].cpu().numpy()*255).astype(np.uint8)) #Comfyui输入图片格式为归一化的tensor，需要*255，fromarray相当于由numpy生成PIL图片
|
| 10 |
+
|
| 11 |
+
def pil2tensor(image):
|
| 12 |
+
new_image=image.convert('RGB')
|
| 13 |
+
new_array=np.array(new_image).astype(np.float32)/255
|
| 14 |
+
new_tensor=torch.tensor(new_array)
|
| 15 |
+
return new_tensor.unsqueeze(0) #增加batch维度,数值为1
|
| 16 |
+
|
| 17 |
+
def mask2tensor(mask):
|
| 18 |
+
new_mask=mask.convert("L")
|
| 19 |
+
new_array=np.array(new_mask).astype(np.float32)/255
|
| 20 |
+
new_tensor=torch.tensor(new_array)
|
| 21 |
+
return new_tensor.unsqueeze(0)
|
| 22 |
+
|
| 23 |
+
class Image_center_paste:
|
| 24 |
+
#节点在ComfyUI菜单中的位置）
|
| 25 |
+
CATEGORY="My Nodes/Image center paste"
|
| 26 |
+
#节点的输出类型
|
| 27 |
+
RETURN_TYPES=("IMAGE","MASK",) #就是输出节点类型，有（MASK，STRING，INT，FLOAT，BOOLEAN，LATENT，CONDITIONING）
|
| 28 |
+
RETURN_NAMES=("paste_img","mask") #输出节点名称
|
| 29 |
+
FUNCTION="image_paste"
|
| 30 |
+
|
| 31 |
+
@classmethod
|
| 32 |
+
def INPUT_TYPES(cls):
|
| 33 |
+
#定义节点输入参数
|
| 34 |
+
return{
|
| 35 |
+
# required就是必须要输入的参数，输入节点需要连线
|
| 36 |
+
"required":{
|
| 37 |
+
"need_paste_image":("IMAGE",),#一般后面会跟"IMAGE"后会跟一个字典，default是默认值，min最小值，max最大值
|
| 38 |
+
"back_image":("IMAGE",),
|
| 39 |
+
"mask":("MASK",),
|
| 40 |
+
},
|
| 41 |
+
# optional是可选参数
|
| 42 |
+
"optional":{
|
| 43 |
+
"ratio":("FLOAT",{
|
| 44 |
+
"default":float(2/3),
|
| 45 |
+
"min":0.01,
|
| 46 |
+
"max":1.0,
|
| 47 |
+
"step":0.1,
|
| 48 |
+
"display":"number" #显示数字输入框
|
| 49 |
+
}),
|
| 50 |
+
"x_ratio":("FLOAT",{
|
| 51 |
+
"default":float(0.5),
|
| 52 |
+
"min":0.01,
|
| 53 |
+
"max":1.0,
|
| 54 |
+
"step":0.01,
|
| 55 |
+
"display":"number"
|
| 56 |
+
}),
|
| 57 |
+
"y_ratio":("FLOAT",{
|
| 58 |
+
"default":float(1/10),
|
| 59 |
+
"min":0.01,
|
| 60 |
+
"max":1.0,
|
| 61 |
+
"step":0.01,
|
| 62 |
+
"display":"number"
|
| 63 |
+
})
|
| 64 |
+
}
|
| 65 |
+
}
|
| 66 |
+
|
| 67 |
+
|
| 68 |
+
def image_paste(self,need_paste_image,back_image,mask,ratio,x_ratio,y_ratio):
|
| 69 |
+
np_image=tensor2pil(need_paste_image)
|
| 70 |
+
bd_image=tensor2pil(back_image)
|
| 71 |
+
mask=tensor2pil(mask).convert("L")
|
| 72 |
+
|
| 73 |
+
bd_w,bd_h=bd_image.size
|
| 74 |
+
|
| 75 |
+
target=ratio*max(bd_h,bd_w)
|
| 76 |
+
|
| 77 |
+
m_bbox=mask.getbbox()
|
| 78 |
+
np_image=np_image.crop(m_bbox)
|
| 79 |
+
mask=mask.crop(m_bbox)
|
| 80 |
+
|
| 81 |
+
np_w,np_h=np_image.size
|
| 82 |
+
|
| 83 |
+
change_size=target/max(np_h,np_w)
|
| 84 |
+
new_w,new_h=int(np_w*change_size),int(np_h*change_size)
|
| 85 |
+
|
| 86 |
+
if new_w>=bd_w-1 or new_h>=bd_h-1:
|
| 87 |
+
raise ValueError(f'缩放图片的长宽不匹配，请调小ratio值')
|
| 88 |
+
|
| 89 |
+
x=int((bd_w-new_w))
|
| 90 |
+
y=int((bd_h-new_h))
|
| 91 |
+
|
| 92 |
+
x_trap_padding=int(x_ratio*x)
|
| 93 |
+
x=x-x_trap_padding
|
| 94 |
+
|
| 95 |
+
y_trap_padding=int(y_ratio*y)
|
| 96 |
+
y=y-y_trap_padding
|
| 97 |
+
|
| 98 |
+
np_image=np_image.resize((new_w,new_h),Image.LANCZOS)
|
| 99 |
+
mask=mask.resize((new_w,new_h),Image.LANCZOS)
|
| 100 |
+
|
| 101 |
+
np_image=np_image.convert("RGBA")
|
| 102 |
+
result_image=bd_image.copy().convert("RGBA")
|
| 103 |
+
|
| 104 |
+
result_image.paste(np_image,(x,y),mask)
|
| 105 |
+
result_image=pil2tensor(result_image.convert("RGB"))
|
| 106 |
+
mask=mask2tensor(mask)
|
| 107 |
+
|
| 108 |
+
return (result_image,mask,)
|
| 109 |
+
|
| 110 |
+
#将节点类映射到唯一标识符
|
| 111 |
+
NODE_CLASS_MAPPINGS={
|
| 112 |
+
"Image_center_paste":Image_center_paste
|
| 113 |
+
}
|
| 114 |
+
|
| 115 |
+
# 节点在UI中显示的名称（可选，默认使用类名）
|
| 116 |
+
NODE_DISPLAY_NAME_MAPPINGS={
|
| 117 |
+
"Image_center_paste":"Image_center_paste(My Node)"
|
| 118 |
+
}
|
kim_comfyui_data/custom_nodes/Cheny_custom_nodes/imagefunc.py
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
kim_comfyui_data/custom_nodes/Cheny_custom_nodes/mask_solid_area.py
ADDED
|
@@ -0,0 +1,68 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import torch
|
| 2 |
+
from PIL import Image,ImageDraw
|
| 3 |
+
import numpy as np
|
| 4 |
+
|
| 5 |
+
|
| 6 |
+
|
| 7 |
+
def mask2pil(mask):
|
| 8 |
+
if len(mask.shape)<3:
|
| 9 |
+
mask=mask.unsqueeze(0)
|
| 10 |
+
return Image.fromarray((mask[0].cpu().numpy()*255).astype(np.uint8))
|
| 11 |
+
|
| 12 |
+
|
| 13 |
+
def mask2tensor(mask):
|
| 14 |
+
mask=mask.convert('L')
|
| 15 |
+
mask_array=np.array(mask).astype(np.float32)/255.0
|
| 16 |
+
mask_tensor=torch.tensor(mask_array)
|
| 17 |
+
return mask_tensor
|
| 18 |
+
|
| 19 |
+
class MaskSolidArea:
|
| 20 |
+
|
| 21 |
+
@classmethod
|
| 22 |
+
def INPUT_TYPES(cls):
|
| 23 |
+
return {
|
| 24 |
+
"required": {
|
| 25 |
+
"mask": ("MASK",),
|
| 26 |
+
},
|
| 27 |
+
'optional':{
|
| 28 |
+
'radius':('INT',{
|
| 29 |
+
'default':100,
|
| 30 |
+
'min':0,
|
| 31 |
+
'max':1000,
|
| 32 |
+
'steo':1,
|
| 33 |
+
})
|
| 34 |
+
}
|
| 35 |
+
}
|
| 36 |
+
|
| 37 |
+
CATEGORY = "My Nodes/mask_solid_area"
|
| 38 |
+
|
| 39 |
+
RETURN_TYPES = ("MASK",)
|
| 40 |
+
RETURN_NAMES = ("MASKS",)
|
| 41 |
+
|
| 42 |
+
FUNCTION = "cut"
|
| 43 |
+
def cut(self, mask,radius):
|
| 44 |
+
mask_pil = mask2pil(mask)
|
| 45 |
+
mask_bbox = mask_pil.getbbox()
|
| 46 |
+
need_paste_mask=Image.new('L',mask_pil.size,"black")
|
| 47 |
+
if mask_bbox is None:
|
| 48 |
+
return (mask,)
|
| 49 |
+
# new_mask = torch.zeros_like(mask[0], dtype=torch.float32)
|
| 50 |
+
# # new_mask bbox 区域绘制为全1
|
| 51 |
+
# new_mask[mask_bbox[1]:mask_bbox[3], mask_bbox[0]:mask_bbox[2]] = 1.0
|
| 52 |
+
draw=ImageDraw.Draw(need_paste_mask)
|
| 53 |
+
draw.rounded_rectangle(
|
| 54 |
+
[mask_bbox[0],mask_bbox[1],mask_bbox[2],mask_bbox[3]],
|
| 55 |
+
radius=radius,
|
| 56 |
+
fill=255
|
| 57 |
+
)
|
| 58 |
+
|
| 59 |
+
new_mask=mask2tensor(need_paste_mask)
|
| 60 |
+
return (new_mask.unsqueeze(0),)
|
| 61 |
+
|
| 62 |
+
NODE_CLASS_MAPPINGS={
|
| 63 |
+
'MaskSolidArea':MaskSolidArea
|
| 64 |
+
}
|
| 65 |
+
|
| 66 |
+
NODE_DISPLAY_NAME_MAPPINGS={
|
| 67 |
+
'MaskSolidArea':'MaskSolidArea(My Node)'
|
| 68 |
+
}
|
kim_comfyui_data/custom_nodes/Cheny_custom_nodes/node.py
ADDED
|
@@ -0,0 +1,145 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# my_nodes.py
|
| 2 |
+
import torch
|
| 3 |
+
import numpy as np
|
| 4 |
+
from PIL import Image
|
| 5 |
+
|
| 6 |
+
|
| 7 |
+
# --------------------------
|
| 8 |
+
# 节点 1：图像缩放节点
|
| 9 |
+
# --------------------------
|
| 10 |
+
class ImageResizeWithPreview:
|
| 11 |
+
"""
|
| 12 |
+
图像缩放节点，支持自定义宽度/高度，带实时预览
|
| 13 |
+
"""
|
| 14 |
+
# 节点类别（在 ComfyUI 菜单中的位置）
|
| 15 |
+
CATEGORY = "My Nodes/Image Processing"
|
| 16 |
+
# 节点输出类型
|
| 17 |
+
RETURN_TYPES = ("IMAGE",)
|
| 18 |
+
RETURN_NAMES = ("resized_image",)
|
| 19 |
+
FUNCTION = "resize_image"
|
| 20 |
+
|
| 21 |
+
@classmethod
|
| 22 |
+
def INPUT_TYPES(cls):
|
| 23 |
+
"""定义节点输入参数"""
|
| 24 |
+
return {
|
| 25 |
+
"required": {
|
| 26 |
+
"image": ("IMAGE",), # 输入图像（ComfyUI 内置类型）
|
| 27 |
+
"width": ("INT", {
|
| 28 |
+
"default": 512, # 默认值
|
| 29 |
+
"min": 64, # 最小值
|
| 30 |
+
"max": 4096, # 最大值
|
| 31 |
+
"step": 64, # 步长
|
| 32 |
+
"display": "number" # 显示为数字输入框
|
| 33 |
+
}),
|
| 34 |
+
"height": ("INT", {
|
| 35 |
+
"default": 512,
|
| 36 |
+
"min": 64,
|
| 37 |
+
"max": 4096,
|
| 38 |
+
"step": 64,
|
| 39 |
+
"display": "number"
|
| 40 |
+
}),
|
| 41 |
+
"interpolation": (["lanczos", "bilinear", "nearest"],), # 下拉选择插值方式
|
| 42 |
+
}
|
| 43 |
+
}
|
| 44 |
+
|
| 45 |
+
def resize_image(self, image, width, height, interpolation):
|
| 46 |
+
"""
|
| 47 |
+
核心执行逻辑：缩放图像
|
| 48 |
+
参数：
|
| 49 |
+
image: 输入图像张量 [batch, H, W, C]，值范围 [0,1]
|
| 50 |
+
width: 目标宽度
|
| 51 |
+
height: 目标高度
|
| 52 |
+
interpolation: 插值方式
|
| 53 |
+
返回：
|
| 54 |
+
缩放后的图像张量
|
| 55 |
+
"""
|
| 56 |
+
# 映射插值方式到 PIL 对应的滤镜
|
| 57 |
+
interp_map = {
|
| 58 |
+
"lanczos": Image.LANCZOS,
|
| 59 |
+
"bilinear": Image.BILINEAR,
|
| 60 |
+
"nearest": Image.NEAREST
|
| 61 |
+
}
|
| 62 |
+
pil_interp = interp_map[interpolation]
|
| 63 |
+
|
| 64 |
+
batch_size = image.shape[0]
|
| 65 |
+
resized_images = []
|
| 66 |
+
|
| 67 |
+
for i in range(batch_size):
|
| 68 |
+
# 1. 转换为 PIL 图像：[0,1] -> [0,255] -> numpy -> PIL
|
| 69 |
+
img_np = image[i].cpu().numpy() # [H, W, C]，float32
|
| 70 |
+
img_np = (img_np * 255).astype(np.uint8) # 映射到 [0,255]
|
| 71 |
+
pil_img = Image.fromarray(img_np)
|
| 72 |
+
|
| 73 |
+
# 2. 执行缩放
|
| 74 |
+
pil_img = pil_img.resize((width, height), pil_interp)
|
| 75 |
+
|
| 76 |
+
# 3. 转换回 ComfyUI 格式：PIL -> numpy -> [0,1] -> torch
|
| 77 |
+
resized_np = np.array(pil_img).astype(np.float32) / 255.0
|
| 78 |
+
resized_images.append(resized_np)
|
| 79 |
+
|
| 80 |
+
# 合并为 batch 张量 [batch, H, W, C]
|
| 81 |
+
resized_tensor = torch.tensor(np.stack(resized_images, axis=0))
|
| 82 |
+
return (resized_tensor,)
|
| 83 |
+
|
| 84 |
+
|
| 85 |
+
# --------------------------
|
| 86 |
+
# 节点 2：文本拼接节点
|
| 87 |
+
# --------------------------
|
| 88 |
+
class TextConcatenator:
|
| 89 |
+
"""
|
| 90 |
+
文本拼接节点，支持多个文本输入拼接
|
| 91 |
+
"""
|
| 92 |
+
CATEGORY = "My Nodes/Text Processing"
|
| 93 |
+
RETURN_TYPES = ("STRING",)
|
| 94 |
+
RETURN_NAMES = ("concatenated_text",)
|
| 95 |
+
FUNCTION = "concat_texts"
|
| 96 |
+
|
| 97 |
+
@classmethod
|
| 98 |
+
def INPUT_TYPES(cls):
|
| 99 |
+
return {
|
| 100 |
+
"required": {
|
| 101 |
+
"text1": ("STRING", {
|
| 102 |
+
"default": "Hello",
|
| 103 |
+
"multiline": False # 单行输入
|
| 104 |
+
}),
|
| 105 |
+
"text2": ("STRING", {
|
| 106 |
+
"default": "World",
|
| 107 |
+
"multiline": False
|
| 108 |
+
}),
|
| 109 |
+
},
|
| 110 |
+
"optional": {
|
| 111 |
+
"separator": ("STRING", {
|
| 112 |
+
"default": " ",
|
| 113 |
+
"multiline": False
|
| 114 |
+
}),
|
| 115 |
+
"text3": ("STRING", {
|
| 116 |
+
"default": "",
|
| 117 |
+
"multiline": False
|
| 118 |
+
}),
|
| 119 |
+
}
|
| 120 |
+
}
|
| 121 |
+
|
| 122 |
+
def concat_texts(self, text1, text2, separator=" ", text3=""):
|
| 123 |
+
"""拼接文本"""
|
| 124 |
+
# 过滤空文本
|
| 125 |
+
texts = [t for t in [text1, text2, text3] if t]
|
| 126 |
+
# 用分隔符拼接
|
| 127 |
+
result = separator.join(texts)
|
| 128 |
+
return (result,)
|
| 129 |
+
|
| 130 |
+
|
| 131 |
+
# --------------------------
|
| 132 |
+
# 节点注册（必须）
|
| 133 |
+
# --------------------------
|
| 134 |
+
# 将节点类映射到唯一标识符
|
| 135 |
+
NODE_CLASS_MAPPINGS = {
|
| 136 |
+
"ImageResizeWithPreview": ImageResizeWithPreview,
|
| 137 |
+
"TextConcatenator": TextConcatenator
|
| 138 |
+
}
|
| 139 |
+
|
| 140 |
+
# 节点在 UI 中显示的名称（可选，默认使用类名）
|
| 141 |
+
NODE_DISPLAY_NAME_MAPPINGS = {
|
| 142 |
+
"ImageResizeWithPreview": "Image Resize (My Node)",
|
| 143 |
+
"TextConcatenator": "Text Concatenator (My Node)"
|
| 144 |
+
}
|
| 145 |
+
|
kim_comfyui_data/custom_nodes/Cheny_custom_nodes/reduce_mask_by_ratio.py
ADDED
|
@@ -0,0 +1,127 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import torch
|
| 2 |
+
import numpy as np
|
| 3 |
+
from PIL import Image
|
| 4 |
+
|
| 5 |
+
def tensor2np(image):
|
| 6 |
+
if len(image.shape)<3:
|
| 7 |
+
image=image.unsqueeze(0)
|
| 8 |
+
image_np=(image[0].cpu().numpy()*255).astype(np.uint8)
|
| 9 |
+
return image_np
|
| 10 |
+
|
| 11 |
+
def tensor2pil(image):
|
| 12 |
+
if len(image.shape)<3:
|
| 13 |
+
image=image.unsqueeze(0)
|
| 14 |
+
image_pil=Image.fromarray((image[0].cpu().numpy()*255).astype(np.uint8))
|
| 15 |
+
return image_pil
|
| 16 |
+
|
| 17 |
+
def mask2tensor(image):
|
| 18 |
+
new_mask=image.convert("L")
|
| 19 |
+
new_np=np.array(new_mask).astype(np.float32)/255.0
|
| 20 |
+
new_tensor=torch.tensor(new_np)
|
| 21 |
+
return new_tensor.unsqueeze(0)
|
| 22 |
+
|
| 23 |
+
def np2tensor(image):
|
| 24 |
+
image_tensor=torch.tensor(image.astype(np.float32)/255.0)
|
| 25 |
+
return image_tensor.unsqueeze(0)
|
| 26 |
+
|
| 27 |
+
class ReduceMaskByRatio:
|
| 28 |
+
CATEGORY="My Nodes/Reduce Mask By Ratio"
|
| 29 |
+
RETURN_TYPES=("MASK","BOX","INT","INT","INT","INT",)
|
| 30 |
+
RETURN_NAMES=("mask","crop_box","x","y","width","height",)
|
| 31 |
+
FUNCTION="reduce_mask_by_ratio"
|
| 32 |
+
|
| 33 |
+
@classmethod
|
| 34 |
+
def INPUT_TYPES(cls):
|
| 35 |
+
return {
|
| 36 |
+
"required":{"mask":("MASK",),},
|
| 37 |
+
"optional":{
|
| 38 |
+
"method": (["Original","Center Width/Height","Face Width/Height"], {"default": "Original"}),
|
| 39 |
+
"ratio": ("FLOAT", {
|
| 40 |
+
"default": 0.1,
|
| 41 |
+
"min": 0.0,
|
| 42 |
+
"max": 1.0,
|
| 43 |
+
"step": 0.01,
|
| 44 |
+
"display": "number"
|
| 45 |
+
}),
|
| 46 |
+
"x_ratio": ("FLOAT", {
|
| 47 |
+
"default": 0.1,
|
| 48 |
+
"min": 0.0,
|
| 49 |
+
"max": 1.0,
|
| 50 |
+
"step": 0.01,
|
| 51 |
+
"display": "number"
|
| 52 |
+
}),
|
| 53 |
+
"y_ratio": ("FLOAT", {
|
| 54 |
+
"default": 0.1,
|
| 55 |
+
"min": 0.0,
|
| 56 |
+
"max": 1.0,
|
| 57 |
+
"step": 0.01,
|
| 58 |
+
"display": "number"
|
| 59 |
+
}),
|
| 60 |
+
"up_y_ratio": ("FLOAT", {
|
| 61 |
+
"default": 0.1,
|
| 62 |
+
"min": 0.0,
|
| 63 |
+
"max": 1.0,
|
| 64 |
+
"step": 0.01,
|
| 65 |
+
"display": "number"
|
| 66 |
+
}),
|
| 67 |
+
}
|
| 68 |
+
}
|
| 69 |
+
|
| 70 |
+
def reduce_mask_by_ratio(self,mask,method,ratio,x_ratio,y_ratio,up_y_ratio):
|
| 71 |
+
mask_np=tensor2np(mask)
|
| 72 |
+
mask_pil=tensor2pil(mask).convert("L")
|
| 73 |
+
mask_bbox=mask_pil.getbbox()
|
| 74 |
+
|
| 75 |
+
if method=="Original":
|
| 76 |
+
# PIL getbbox 返回 (left, upper, right, lower)
|
| 77 |
+
x1,y1,x2,h2 = mask_bbox
|
| 78 |
+
w,h = x2-x1, h2-y1
|
| 79 |
+
reduce_w,reduce_h = w*ratio,h*ratio
|
| 80 |
+
# 在原有 bbox 中心缩小
|
| 81 |
+
new_w,new_h=int(w-reduce_w),int(h-reduce_h)
|
| 82 |
+
new_x,new_y=int(x1 + reduce_w/2),int(y1 + reduce_h/2)
|
| 83 |
+
new_mask=Image.new("L",size=mask_pil.size,color=0)
|
| 84 |
+
paste_mask=Image.new("L",size=(new_w,new_h),color=255)
|
| 85 |
+
|
| 86 |
+
new_mask.paste(paste_mask,(new_x,new_y))
|
| 87 |
+
|
| 88 |
+
new_mask=mask2tensor(new_mask)
|
| 89 |
+
return (new_mask,(new_x,new_y,new_w,new_h),new_x,new_y,new_w,new_h,)
|
| 90 |
+
|
| 91 |
+
elif method=='Center Width/Height':
|
| 92 |
+
x1,y1,x2,h2 = mask_bbox
|
| 93 |
+
w,h = x2-x1, h2-y1
|
| 94 |
+
reduce_w,reduce_h=w*x_ratio,h*y_ratio
|
| 95 |
+
new_w,new_h=int(w-reduce_w),int(h-reduce_h)
|
| 96 |
+
new_x,new_y=int(x1 + reduce_w/2),int(y1 + reduce_h/2)
|
| 97 |
+
new_mask=Image.new("L",size=mask_pil.size,color=0)
|
| 98 |
+
paste_mask=Image.new("L",size=(new_w,new_h),color=255)
|
| 99 |
+
|
| 100 |
+
new_mask.paste(paste_mask,(new_x,new_y))
|
| 101 |
+
|
| 102 |
+
new_mask=mask2tensor(new_mask)
|
| 103 |
+
return (new_mask,(new_x,new_y,new_w,new_h),new_x,new_y,new_w,new_h,)
|
| 104 |
+
|
| 105 |
+
elif method=='Face Width/Height':
|
| 106 |
+
x1,y1,x2,h2 = mask_bbox
|
| 107 |
+
w,h = x2-x1, h2-y1
|
| 108 |
+
reduce_w,reduce_h=w*x_ratio,h*up_y_ratio
|
| 109 |
+
new_w,new_h=int(w-reduce_w),int(h-reduce_h)
|
| 110 |
+
# Face模式：从顶部开始，只减少上方和两侧
|
| 111 |
+
new_x,new_y=int(x1 + reduce_w/2),int(y1 + reduce_h)
|
| 112 |
+
new_mask=Image.new("L",size=mask_pil.size,color=0)
|
| 113 |
+
paste_mask=Image.new("L",size=(new_w,new_h),color=255)
|
| 114 |
+
|
| 115 |
+
new_mask.paste(paste_mask,(new_x,new_y))
|
| 116 |
+
|
| 117 |
+
new_mask=mask2tensor(new_mask)
|
| 118 |
+
return (new_mask,(new_x,new_y,new_w,new_h),new_x,new_y,new_w,new_h,)
|
| 119 |
+
|
| 120 |
+
NODE_CLASS_MAPPINGS={
|
| 121 |
+
"ReduceMaskByRatio":ReduceMaskByRatio
|
| 122 |
+
}
|
| 123 |
+
NODE_DISPLAY_NAME_MAPPINGS={
|
| 124 |
+
"ReduceMaskByRatio":"Reduce Mask By Ratio(My Nodes)"
|
| 125 |
+
}
|
| 126 |
+
|
| 127 |
+
|
kim_comfyui_data/custom_nodes/Cheny_custom_nodes/yolov8_detect.py
ADDED
|
@@ -0,0 +1,106 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
|
| 2 |
+
import os.path
|
| 3 |
+
from .imagefunc import *
|
| 4 |
+
|
| 5 |
+
import torch
|
| 6 |
+
from PIL import Image
|
| 7 |
+
import numpy as np
|
| 8 |
+
from ultralytics import YOLO
|
| 9 |
+
import folder_paths
|
| 10 |
+
import cv2
|
| 11 |
+
|
| 12 |
+
model_path = os.path.join(folder_paths.models_dir, 'yolo')
|
| 13 |
+
|
| 14 |
+
class YoloV8Detect:
|
| 15 |
+
|
| 16 |
+
def __init__(self):
|
| 17 |
+
self.NODE_NAME = 'YoloV8Detect'
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
@classmethod
|
| 21 |
+
def INPUT_TYPES(self):
|
| 22 |
+
model_ext = [".pt"]
|
| 23 |
+
FILES_DICT = get_files(model_path, model_ext)
|
| 24 |
+
FILE_LIST = list(FILES_DICT.keys())
|
| 25 |
+
mask_merge = ["all", "1", "2", "3", "4", "5", "6", "7", "8", "9"]
|
| 26 |
+
return {
|
| 27 |
+
"required": {
|
| 28 |
+
"image": ("IMAGE", ),
|
| 29 |
+
"yolo_model": (FILE_LIST,),
|
| 30 |
+
"mask_merge": (mask_merge,),
|
| 31 |
+
"conf_threshold": ("FLOAT", {"default": 0.25, "min": 0.0, "max": 1.0, "step": 0.01}),
|
| 32 |
+
},
|
| 33 |
+
"optional": {
|
| 34 |
+
}
|
| 35 |
+
}
|
| 36 |
+
|
| 37 |
+
RETURN_TYPES = ("MASK", "IMAGE", "MASK" )
|
| 38 |
+
RETURN_NAMES = ("mask", "yolo_plot_image", "yolo_masks")
|
| 39 |
+
FUNCTION = 'yolo_detect'
|
| 40 |
+
CATEGORY = 'My Nodes/yolov8 detect'
|
| 41 |
+
|
| 42 |
+
def yolo_detect(self, image,
|
| 43 |
+
yolo_model, mask_merge, conf_threshold
|
| 44 |
+
):
|
| 45 |
+
|
| 46 |
+
ret_masks = []
|
| 47 |
+
ret_yolo_plot_images = []
|
| 48 |
+
ret_yolo_masks = []
|
| 49 |
+
|
| 50 |
+
yolo_model = YOLO(os.path.join(model_path, yolo_model))
|
| 51 |
+
|
| 52 |
+
for i in image:
|
| 53 |
+
i = torch.unsqueeze(i, 0)
|
| 54 |
+
_image = tensor2pil(i)
|
| 55 |
+
results = yolo_model(_image, retina_masks=True, conf=conf_threshold)
|
| 56 |
+
for result in results:
|
| 57 |
+
yolo_plot_image = cv2.cvtColor(result.plot(), cv2.COLOR_BGR2RGB)
|
| 58 |
+
ret_yolo_plot_images.append(pil2tensor(Image.fromarray(yolo_plot_image)))
|
| 59 |
+
# have mask
|
| 60 |
+
if result.masks is not None and len(result.masks) > 0:
|
| 61 |
+
masks_data = result.masks.data
|
| 62 |
+
for mask in masks_data:
|
| 63 |
+
_mask = mask.cpu().numpy() * 255
|
| 64 |
+
_mask = np2pil(_mask).convert("L")
|
| 65 |
+
ret_yolo_masks.append(image2mask(_mask))
|
| 66 |
+
# no mask, if have box, draw box
|
| 67 |
+
elif result.boxes is not None and len(result.boxes.xyxy) > 0:
|
| 68 |
+
white_image = Image.new('L', _image.size, "white")
|
| 69 |
+
for box in result.boxes:
|
| 70 |
+
x1, y1, x2, y2 = box.xyxy[0].cpu().numpy()
|
| 71 |
+
x1, y1, x2, y2 = int(x1), int(y1), int(x2), int(y2)
|
| 72 |
+
_mask = Image.new('L', _image.size, "black")
|
| 73 |
+
_mask.paste(white_image.crop((x1, y1, x2, y2)), (x1, y1))
|
| 74 |
+
ret_yolo_masks.append(image2mask(_mask))
|
| 75 |
+
# no mask and box, add a black mask
|
| 76 |
+
else:
|
| 77 |
+
ret_yolo_masks.append(torch.zeros((1, _image.size[1], _image.size[0]), dtype=torch.float32))
|
| 78 |
+
# ret_yolo_masks.append(image2mask(Image.new('L', _image.size, "black")))
|
| 79 |
+
log(f"{self.NODE_NAME} mask or box not detected.")
|
| 80 |
+
|
| 81 |
+
# merge mask
|
| 82 |
+
if len(ret_yolo_masks) > 0:
|
| 83 |
+
_mask = ret_yolo_masks[0]
|
| 84 |
+
if mask_merge == "all":
|
| 85 |
+
for idx in range(len(ret_yolo_masks) - 1):
|
| 86 |
+
_mask = add_mask(_mask, ret_yolo_masks[idx + 1])
|
| 87 |
+
else:
|
| 88 |
+
for idx in range(min(len(ret_yolo_masks), int(mask_merge)) - 1):
|
| 89 |
+
_mask = add_mask(_mask, ret_yolo_masks[idx + 1])
|
| 90 |
+
ret_masks.append(_mask)
|
| 91 |
+
else:
|
| 92 |
+
# 如果没有检测到任何mask，添加一个全黑的mask
|
| 93 |
+
ret_masks.append(torch.zeros((1, _image.size[1], _image.size[0]), dtype=torch.float32))
|
| 94 |
+
|
| 95 |
+
log(f"{self.NODE_NAME} Processed {len(ret_masks)} image(s).", message_type='finish')
|
| 96 |
+
return (torch.cat(ret_masks, dim=0),
|
| 97 |
+
torch.cat(ret_yolo_plot_images, dim=0),
|
| 98 |
+
torch.cat(ret_yolo_masks, dim=0),)
|
| 99 |
+
|
| 100 |
+
NODE_CLASS_MAPPINGS = {
|
| 101 |
+
"yolov8_detect": YoloV8Detect
|
| 102 |
+
}
|
| 103 |
+
|
| 104 |
+
NODE_DISPLAY_NAME_MAPPINGS = {
|
| 105 |
+
"yolov8_detect": "yolov8_detect/My Node"
|
| 106 |
+
}
|
kim_comfyui_data/custom_nodes/Cheny_custom_nodes/yolov8_person_detect.py
ADDED
|
@@ -0,0 +1,188 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import copy
|
| 2 |
+
import os
|
| 3 |
+
|
| 4 |
+
import torch
|
| 5 |
+
from PIL import Image
|
| 6 |
+
import glob
|
| 7 |
+
import numpy as np
|
| 8 |
+
from ultralytics import YOLO
|
| 9 |
+
import folder_paths
|
| 10 |
+
|
| 11 |
+
models_dirs=os.path.join(folder_paths.models_dir,'yolo')
|
| 12 |
+
def get_files(models_dir,file_exp_list):
|
| 13 |
+
file_list=[]
|
| 14 |
+
for exp in file_exp_list:
|
| 15 |
+
# extend可将可迭代对象中的元素，逐个添加进当前列表
|
| 16 |
+
file_list.extend(glob.glob(os.path.join(models_dir,'*'+exp))) #glob就是模式匹配文件，支持通配符，每个文件返回一个列表，所以用extend
|
| 17 |
+
file_dict={}
|
| 18 |
+
for i in range(len(file_list)):
|
| 19 |
+
_,filename=os.path.split(file_list[i]) # 将文件路径拆成("C:/models/yolo", "model1.pt")
|
| 20 |
+
# 创建文件名到文件路径的映射
|
| 21 |
+
file_dict[filename]=file_list[i]
|
| 22 |
+
|
| 23 |
+
return file_dict
|
| 24 |
+
|
| 25 |
+
def tensor2pil(image):
|
| 26 |
+
if isinstance(image,Image.Image):
|
| 27 |
+
return image
|
| 28 |
+
else:
|
| 29 |
+
if len(image.shape)<3:
|
| 30 |
+
image=image.unsqueeze(0)
|
| 31 |
+
return Image.fromarray((image[0].cpu().numpy()*255).astype(np.uint8))
|
| 32 |
+
|
| 33 |
+
def pil2tensor(image):
|
| 34 |
+
new_image=image.convert('RGB')
|
| 35 |
+
image_array=np.array(new_image).astype(np.float32)/255.0
|
| 36 |
+
image_tensor=torch.tensor(image_array)
|
| 37 |
+
return image_tensor
|
| 38 |
+
|
| 39 |
+
def mask2tensor(mask):
|
| 40 |
+
mask=mask.convert('L')
|
| 41 |
+
mask_array=np.array(mask).astype(np.float32)/255.0
|
| 42 |
+
mask_tensor=torch.tensor(mask_array)
|
| 43 |
+
return mask_tensor
|
| 44 |
+
|
| 45 |
+
class Yolov8_person_detect:
|
| 46 |
+
CATEGORY="My Nodes/yolov8 person detect"
|
| 47 |
+
RETURN_TYPES=("MASK",)
|
| 48 |
+
RETURN_NAMES=("back_mask",)
|
| 49 |
+
FUNCTION="yolov8_person_detect"
|
| 50 |
+
|
| 51 |
+
@classmethod
|
| 52 |
+
def INPUT_TYPES(cls):
|
| 53 |
+
model_exp=["seg.pt"]
|
| 54 |
+
FILES_DICT=get_files(models_dirs,model_exp)
|
| 55 |
+
FILE_LIST=list(FILES_DICT.keys())
|
| 56 |
+
|
| 57 |
+
return{
|
| 58 |
+
"required":{
|
| 59 |
+
"back_image":("IMAGE",),
|
| 60 |
+
"mask":("MASK",),
|
| 61 |
+
"yolo_model":(FILE_LIST,),
|
| 62 |
+
},
|
| 63 |
+
"optional":{
|
| 64 |
+
"true_rate":("FLOAT",{
|
| 65 |
+
"default":0.85,
|
| 66 |
+
"min":0.01,
|
| 67 |
+
"max":1.0,
|
| 68 |
+
"step":0.01,
|
| 69 |
+
"display":"number"
|
| 70 |
+
}),
|
| 71 |
+
"img_ratio":("FLOAT",{
|
| 72 |
+
"default":float(2/3),
|
| 73 |
+
"min":0.01,
|
| 74 |
+
"max":1.0,
|
| 75 |
+
"step":0.01,
|
| 76 |
+
"display":"number"
|
| 77 |
+
}),
|
| 78 |
+
"x_ratio":("FLOAT",{
|
| 79 |
+
"default":float(0.5),
|
| 80 |
+
"min":0.01,
|
| 81 |
+
"max":1.0,
|
| 82 |
+
"step":0.01,
|
| 83 |
+
"display":"number"
|
| 84 |
+
}),
|
| 85 |
+
"y_ratio":("FLOAT",{
|
| 86 |
+
"default":float(1/10),
|
| 87 |
+
"min":0.01,
|
| 88 |
+
"max":1.0,
|
| 89 |
+
"step":0.01,
|
| 90 |
+
"display":"number"
|
| 91 |
+
})
|
| 92 |
+
}
|
| 93 |
+
}
|
| 94 |
+
|
| 95 |
+
def yolov8_person_detect(self,mask,back_image,yolo_model,true_rate,img_ratio,x_ratio,y_ratio):
|
| 96 |
+
back_image=tensor2pil(back_image)
|
| 97 |
+
|
| 98 |
+
yolo_model=YOLO(os.path.join(models_dirs,yolo_model))
|
| 99 |
+
result = yolo_model(
|
| 100 |
+
back_image,
|
| 101 |
+
retina_masks=True,
|
| 102 |
+
classes=[0],
|
| 103 |
+
conf=true_rate,
|
| 104 |
+
verbose=False
|
| 105 |
+
)[0]
|
| 106 |
+
|
| 107 |
+
if result.masks is not None and len(result.masks)>0:
|
| 108 |
+
if result.boxes is not None and len(result.boxes)>0:
|
| 109 |
+
if result.boxes.conf[0]>=true_rate:
|
| 110 |
+
masks_data=result.masks.data
|
| 111 |
+
n_mask=masks_data[0]
|
| 112 |
+
n_mask=n_mask.unsqueeze(0)
|
| 113 |
+
return(n_mask,)
|
| 114 |
+
|
| 115 |
+
# 直接生成mask，按背景 2/3
|
| 116 |
+
# bd_w,bd_h=back_image.size
|
| 117 |
+
# n_mask=Image.new('L',(bd_w,bd_h),"black")
|
| 118 |
+
# target=img_ratio*max(bd_h,bd_w)
|
| 119 |
+
|
| 120 |
+
# new_w,new_h=int(img_ratio*bd_w),int(img_ratio*bd_h)
|
| 121 |
+
|
| 122 |
+
# paste_mask=Image.new('L',(new_w,new_h),"white")
|
| 123 |
+
|
| 124 |
+
|
| 125 |
+
# x=int(bd_w-new_w)
|
| 126 |
+
# y=int(bd_h-new_h)
|
| 127 |
+
|
| 128 |
+
# x_trap_padding=int(x*x_ratio)
|
| 129 |
+
# x=x-x_trap_padding
|
| 130 |
+
|
| 131 |
+
# y_trap_padding=int(y*y_ratio)
|
| 132 |
+
# y=y-y_trap_padding
|
| 133 |
+
|
| 134 |
+
# n_mask.paste(paste_mask,(x,y))
|
| 135 |
+
# n_mask=mask2tensor(n_mask)
|
| 136 |
+
|
| 137 |
+
# if len(n_mask.shape)<3:
|
| 138 |
+
# n_mask=n_mask.unsqueeze(0)
|
| 139 |
+
# print("Yolov8_person_detect done")
|
| 140 |
+
# return (n_mask,)
|
| 141 |
+
|
| 142 |
+
|
| 143 |
+
# 利用原图人物mask，生成新mask
|
| 144 |
+
mask=tensor2pil(mask).convert('L')
|
| 145 |
+
|
| 146 |
+
bd_w,bd_h=back_image.size
|
| 147 |
+
|
| 148 |
+
n_mask=Image.new('L',(bd_w,bd_h),"black")
|
| 149 |
+
target=img_ratio*max(bd_h,bd_w)
|
| 150 |
+
|
| 151 |
+
|
| 152 |
+
m_bbox=mask.getbbox()
|
| 153 |
+
|
| 154 |
+
mask=mask.crop(m_bbox)
|
| 155 |
+
|
| 156 |
+
m_w,m_h=mask.size
|
| 157 |
+
ratio=target/max(m_w,m_h)
|
| 158 |
+
new_w,new_h=int(ratio*m_w),int(ratio*m_h)
|
| 159 |
+
mask=mask.resize((new_w,new_h),Image.LANCZOS)
|
| 160 |
+
|
| 161 |
+
|
| 162 |
+
if new_w>=bd_w or new_h>=bd_h:
|
| 163 |
+
raise ValueError(f'缩放图片的长宽超过背景图大小，请下调img_ratio值')
|
| 164 |
+
|
| 165 |
+
x=int(bd_w-new_w)
|
| 166 |
+
y=int(bd_h-new_h)
|
| 167 |
+
|
| 168 |
+
x_trap_padding=int(x*x_ratio)
|
| 169 |
+
x=x-x_trap_padding
|
| 170 |
+
|
| 171 |
+
y_trap_padding=int(y*y_ratio)
|
| 172 |
+
y=y-y_trap_padding
|
| 173 |
+
|
| 174 |
+
n_mask.paste(mask,(x,y))
|
| 175 |
+
n_mask=mask2tensor(n_mask)
|
| 176 |
+
|
| 177 |
+
if len(n_mask.shape)<3:
|
| 178 |
+
n_mask=n_mask.unsqueeze(0)
|
| 179 |
+
print("Yolov8_person_detect done")
|
| 180 |
+
return (n_mask,)
|
| 181 |
+
|
| 182 |
+
NODE_CLASS_MAPPINGS={
|
| 183 |
+
"Yolov8_person_detect":Yolov8_person_detect
|
| 184 |
+
}
|
| 185 |
+
|
| 186 |
+
NODE_DISPLAY_NAME_MAPPINGS={
|
| 187 |
+
"Yolov8_person_detect":"Yolov8_person_detect(My Node)"
|
| 188 |
+
}
|
kim_comfyui_data/custom_nodes/Cheny_custom_nodes/yolov8_person_nomask.py
ADDED
|
@@ -0,0 +1,195 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import copy
|
| 2 |
+
import os
|
| 3 |
+
|
| 4 |
+
import torch
|
| 5 |
+
from PIL import Image,ImageDraw
|
| 6 |
+
import glob
|
| 7 |
+
import numpy as np
|
| 8 |
+
from ultralytics import YOLO
|
| 9 |
+
import folder_paths
|
| 10 |
+
import cv2
|
| 11 |
+
|
| 12 |
+
models_dirs=os.path.join(folder_paths.models_dir,'yolo')
|
| 13 |
+
def get_files(models_dir,file_exp_list):
|
| 14 |
+
file_list=[]
|
| 15 |
+
for exp in file_exp_list:
|
| 16 |
+
# extend可将可迭代对象中的元素，逐个添加进当前列表
|
| 17 |
+
file_list.extend(glob.glob(os.path.join(models_dir,'*'+exp))) #glob就是模式匹配文件，支持通配符，每个文件返回一个列表，所以用extend
|
| 18 |
+
file_dict={}
|
| 19 |
+
for i in range(len(file_list)):
|
| 20 |
+
_,filename=os.path.split(file_list[i]) # 将文件路径拆成("C:/models/yolo", "model1.pt")
|
| 21 |
+
# 创建文件名到文件路径的映射
|
| 22 |
+
file_dict[filename]=file_list[i]
|
| 23 |
+
|
| 24 |
+
return file_dict
|
| 25 |
+
|
| 26 |
+
def tensor2pil(image):
|
| 27 |
+
if isinstance(image,Image.Image):
|
| 28 |
+
return image
|
| 29 |
+
else:
|
| 30 |
+
if len(image.shape)<3:
|
| 31 |
+
image=image.unsqueeze(0)
|
| 32 |
+
return Image.fromarray((image[0].cpu().numpy()*255).astype(np.uint8))
|
| 33 |
+
|
| 34 |
+
def pil2tensor(image):
|
| 35 |
+
new_image=image.convert('RGB')
|
| 36 |
+
image_array=np.array(new_image).astype(np.float32)/255.0
|
| 37 |
+
image_tensor=torch.tensor(image_array)
|
| 38 |
+
return image_tensor
|
| 39 |
+
|
| 40 |
+
def mask2tensor(mask):
|
| 41 |
+
mask=mask.convert('L')
|
| 42 |
+
mask_array=np.array(mask).astype(np.float32)/255.0
|
| 43 |
+
mask_tensor=torch.tensor(mask_array)
|
| 44 |
+
return mask_tensor
|
| 45 |
+
|
| 46 |
+
def np2tensor(data):
|
| 47 |
+
data=data.astype(np.float32)/255.0
|
| 48 |
+
data_tensor=torch.tensor(data)
|
| 49 |
+
return data_tensor
|
| 50 |
+
|
| 51 |
+
class Yolov8_person_nomask:
|
| 52 |
+
CATEGORY="My Nodes/yolov8 person nomask"
|
| 53 |
+
RETURN_TYPES=("MASK","BOOLEAN",)
|
| 54 |
+
RETURN_NAMES=("back_mask","boolean")
|
| 55 |
+
FUNCTION="yolov8_person_nomask"
|
| 56 |
+
|
| 57 |
+
@classmethod
|
| 58 |
+
def INPUT_TYPES(cls):
|
| 59 |
+
model_exp=[".pt"]
|
| 60 |
+
FILES_DICT=get_files(models_dirs,model_exp)
|
| 61 |
+
FILE_LIST=list(FILES_DICT.keys())
|
| 62 |
+
|
| 63 |
+
return{
|
| 64 |
+
"required":{
|
| 65 |
+
"back_image":("IMAGE",),
|
| 66 |
+
"yolo_model":(FILE_LIST,),
|
| 67 |
+
},
|
| 68 |
+
"optional":{
|
| 69 |
+
"mask":("MASK",),
|
| 70 |
+
"true_rate":("FLOAT",{
|
| 71 |
+
"default":0.85,
|
| 72 |
+
"min":0.01,
|
| 73 |
+
"max":1.0,
|
| 74 |
+
"step":0.01,
|
| 75 |
+
"display":"number"
|
| 76 |
+
}),
|
| 77 |
+
"img_ratio":("FLOAT",{
|
| 78 |
+
"default":float(2/3),
|
| 79 |
+
"min":0.01,
|
| 80 |
+
"max":1.0,
|
| 81 |
+
"step":0.01,
|
| 82 |
+
"display":"number"
|
| 83 |
+
}),
|
| 84 |
+
"x_ratio":("FLOAT",{
|
| 85 |
+
"default":float(0.5),
|
| 86 |
+
"min":0.01,
|
| 87 |
+
"max":1.0,
|
| 88 |
+
"step":0.01,
|
| 89 |
+
"display":"number"
|
| 90 |
+
}),
|
| 91 |
+
"y_ratio":("FLOAT",{
|
| 92 |
+
"default":float(1/10),
|
| 93 |
+
"min":0.01,
|
| 94 |
+
"max":1.0,
|
| 95 |
+
"step":0.01,
|
| 96 |
+
"display":"number"
|
| 97 |
+
}),
|
| 98 |
+
"radius":("INT",{
|
| 99 |
+
"default":100,
|
| 100 |
+
"min":10,
|
| 101 |
+
"max":1000,
|
| 102 |
+
"step":10,
|
| 103 |
+
"display":"number"
|
| 104 |
+
}),
|
| 105 |
+
"blur_radius":("INT",{
|
| 106 |
+
"default":0,
|
| 107 |
+
"min":0,
|
| 108 |
+
"max":100,
|
| 109 |
+
"step":1,
|
| 110 |
+
"display":"number"
|
| 111 |
+
})
|
| 112 |
+
}
|
| 113 |
+
}
|
| 114 |
+
|
| 115 |
+
def yolov8_person_nomask(self,back_image,yolo_model,true_rate,img_ratio,x_ratio,y_ratio,radius,blur_radius,mask=None):
|
| 116 |
+
back_image=tensor2pil(back_image)
|
| 117 |
+
|
| 118 |
+
yolo_model=YOLO(os.path.join(models_dirs,yolo_model))
|
| 119 |
+
result = yolo_model(
|
| 120 |
+
back_image,
|
| 121 |
+
retina_masks=True,
|
| 122 |
+
classes=[0],
|
| 123 |
+
conf=true_rate,
|
| 124 |
+
verbose=False
|
| 125 |
+
)[0]
|
| 126 |
+
|
| 127 |
+
if result.masks is not None and len(result.masks)>0:
|
| 128 |
+
if result.boxes is not None and len(result.boxes)>0:
|
| 129 |
+
if result.boxes.conf[0]>=true_rate:
|
| 130 |
+
masks_data=result.masks.data
|
| 131 |
+
n_mask=masks_data[0]
|
| 132 |
+
n_mask=n_mask.unsqueeze(0)
|
| 133 |
+
boolean=True
|
| 134 |
+
return(n_mask,boolean,)
|
| 135 |
+
|
| 136 |
+
bd_w,bd_h=back_image.size
|
| 137 |
+
|
| 138 |
+
n_mask=Image.new('L',(bd_w,bd_h),"black")
|
| 139 |
+
if mask is None:
|
| 140 |
+
boolean=False
|
| 141 |
+
return (mask2tensor(n_mask),boolean,)
|
| 142 |
+
target=img_ratio*max(bd_h,bd_w)
|
| 143 |
+
|
| 144 |
+
mask=tensor2pil(mask).convert('L')
|
| 145 |
+
|
| 146 |
+
|
| 147 |
+
m_bbox=mask.getbbox()
|
| 148 |
+
|
| 149 |
+
mask=mask.crop(m_bbox)
|
| 150 |
+
|
| 151 |
+
m_w,m_h=mask.size
|
| 152 |
+
ratio=target/max(m_w,m_h)
|
| 153 |
+
new_w,new_h=int(ratio*m_w),int(ratio*m_h)
|
| 154 |
+
|
| 155 |
+
|
| 156 |
+
if new_w>=bd_w or new_h>=bd_h:
|
| 157 |
+
raise ValueError(f'缩放图片的长宽超过背景图大小，请下调img_ratio值')
|
| 158 |
+
|
| 159 |
+
x_left=int(bd_w-new_w)
|
| 160 |
+
y_left=int(bd_h-new_h)
|
| 161 |
+
|
| 162 |
+
x_trap_padding=int(x_left*x_ratio)
|
| 163 |
+
x_left=x_left-x_trap_padding
|
| 164 |
+
|
| 165 |
+
y_trap_padding=int(y_left*y_ratio)
|
| 166 |
+
y_left=y_left-y_trap_padding
|
| 167 |
+
|
| 168 |
+
x_right,y_right=x_left+new_w,y_left+new_h
|
| 169 |
+
draw=ImageDraw.Draw(n_mask)
|
| 170 |
+
|
| 171 |
+
draw.rounded_rectangle(
|
| 172 |
+
[x_left, y_left, x_right, y_right],
|
| 173 |
+
radius=int(radius),
|
| 174 |
+
fill=255 # 白色填充
|
| 175 |
+
)
|
| 176 |
+
|
| 177 |
+
n_mask=np.array(n_mask).astype(np.uint8)
|
| 178 |
+
blur_radius_int = int(round(blur_radius))
|
| 179 |
+
n_mask=cv2.GaussianBlur(n_mask, (2 * blur_radius_int + 1, 2 * blur_radius_int + 1), 0)
|
| 180 |
+
|
| 181 |
+
n_mask=np2tensor(n_mask)
|
| 182 |
+
|
| 183 |
+
if len(n_mask.shape)<3:
|
| 184 |
+
n_mask=n_mask.unsqueeze(0)
|
| 185 |
+
print("Yolov8_person_detect done")
|
| 186 |
+
boolean=False
|
| 187 |
+
return (n_mask,boolean,)
|
| 188 |
+
|
| 189 |
+
NODE_CLASS_MAPPINGS={
|
| 190 |
+
"Yolov8_person_nomask":Yolov8_person_nomask
|
| 191 |
+
}
|
| 192 |
+
|
| 193 |
+
NODE_DISPLAY_NAME_MAPPINGS={
|
| 194 |
+
"Yolov8_person_nomask":"Yolov8_person_nomask(My Node)"
|
| 195 |
+
}
|
kim_comfyui_data/custom_nodes/ComfyLiterals/.gitignore
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
|
| 2 |
+
__pycache__/
|
kim_comfyui_data/custom_nodes/ComfyLiterals/README.md
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# ComfyLiterals
|
| 2 |
+
|
kim_comfyui_data/custom_nodes/ComfyLiterals/__init__.py
ADDED
|
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
from .nodes import IntLiteral, FloatLiteral, StringLiteral, CheckpointListLiteral, LoraListLiteral
|
| 2 |
+
from .operations import Operation
|
| 3 |
+
from .startup_utils import symlink_web_dir
|
| 4 |
+
|
| 5 |
+
NODE_CLASS_MAPPINGS = {
|
| 6 |
+
"Int": IntLiteral,
|
| 7 |
+
"Float": FloatLiteral,
|
| 8 |
+
"String": StringLiteral,
|
| 9 |
+
"KepStringLiteral": StringLiteral,
|
| 10 |
+
"Operation": Operation,
|
| 11 |
+
"Checkpoint": CheckpointListLiteral,
|
| 12 |
+
"Lora": LoraListLiteral,
|
| 13 |
+
}
|
| 14 |
+
|
| 15 |
+
NODE_DISPLAY_NAME_MAPPINGS = {
|
| 16 |
+
"KepStringLiteral": "String",
|
| 17 |
+
}
|
| 18 |
+
|
| 19 |
+
EXTENSION_NAME = "ComfyLiterals"
|
| 20 |
+
|
| 21 |
+
symlink_web_dir("js", EXTENSION_NAME)
|
kim_comfyui_data/custom_nodes/ComfyLiterals/js/operation-node.js
ADDED
|
@@ -0,0 +1,83 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import {app} from "/scripts/app.js";
|
| 2 |
+
|
| 3 |
+
app.registerExtension({
|
| 4 |
+
name: "ComfyLiterals.OperationNode",
|
| 5 |
+
nodeCreated(node, app) {
|
| 6 |
+
if (node['comfyClass'] === 'Operation') {
|
| 7 |
+
const onAdded = node.onAdded
|
| 8 |
+
node.onAdded = function (graph) {
|
| 9 |
+
console.log("OperationNode onAdded")
|
| 10 |
+
const firstCallbackResp = onAdded ? onAdded.apply(this, arguments) : undefined;
|
| 11 |
+
|
| 12 |
+
/**
|
| 13 |
+
* @type {Record<string, INodeInputSlot>}
|
| 14 |
+
*/
|
| 15 |
+
const inputCache = {
|
| 16 |
+
"A": node.inputs[1],
|
| 17 |
+
"B": node.inputs[3]
|
| 18 |
+
}
|
| 19 |
+
|
| 20 |
+
if (this.widgets_values) {
|
| 21 |
+
const aType = this.widgets_values[0]
|
| 22 |
+
const bType = this.widgets_values[1]
|
| 23 |
+
|
| 24 |
+
// [IntA, FloatA, IntB, FloatB]
|
| 25 |
+
const aIdxToDelete = aType === "INT" ? 1 : 0
|
| 26 |
+
// [*A, IntB, FloatB]
|
| 27 |
+
const bIdxToDelete = bType === "INT" ? 3 : 1
|
| 28 |
+
|
| 29 |
+
inputCache["A"] = node.inputs[aIdxToDelete]
|
| 30 |
+
this.removeInput(aIdxToDelete)
|
| 31 |
+
inputCache["B"] = node.inputs[bIdxToDelete]
|
| 32 |
+
this.removeInput(bIdxToDelete)
|
| 33 |
+
} else {
|
| 34 |
+
// Nodes being restored/pasted don't have widget_values
|
| 35 |
+
// Node has 4 inputs(IntA, FloatA, IntB, FloatB)
|
| 36 |
+
// Remove both float inputs, Float B moves to index 2 after Float A is removed
|
| 37 |
+
this.removeInput(1)
|
| 38 |
+
this.removeInput(2)
|
| 39 |
+
}
|
| 40 |
+
|
| 41 |
+
// Add a toggle widget to the node
|
| 42 |
+
this.widgets[0].callback = function (v, canvas, node) {
|
| 43 |
+
addInputAtIndex(node, inputCache["A"], 0)
|
| 44 |
+
inputCache["A"] = node.inputs[1]
|
| 45 |
+
node.removeInput(1)
|
| 46 |
+
}
|
| 47 |
+
this.widgets[1].callback = function (v, canvas, node) {
|
| 48 |
+
addInputAtIndex(node, inputCache["B"], 2)
|
| 49 |
+
inputCache["B"] = node.inputs[1]
|
| 50 |
+
node.removeInput(1)
|
| 51 |
+
}
|
| 52 |
+
}
|
| 53 |
+
}
|
| 54 |
+
}
|
| 55 |
+
})
|
| 56 |
+
|
| 57 |
+
/**
|
| 58 |
+
* Adds an input to a node at the given index.
|
| 59 |
+
* @param node {LGraphNode}
|
| 60 |
+
* @param input {INodeInputSlot}
|
| 61 |
+
* @param index {number}
|
| 62 |
+
* @returns {INodeInputSlot}
|
| 63 |
+
*/
|
| 64 |
+
function addInputAtIndex(node, input, index) {
|
| 65 |
+
if (!node.inputs) {
|
| 66 |
+
node.inputs = [];
|
| 67 |
+
}
|
| 68 |
+
|
| 69 |
+
if (index > node.inputs.length) {
|
| 70 |
+
console.warn("LiteGraph: Warning adding port index: " + index + " of node " + node.id + ", it doesnt have so many inputs");
|
| 71 |
+
node.inputs.push(input);
|
| 72 |
+
} else {
|
| 73 |
+
node.inputs.splice(index, 0, input);
|
| 74 |
+
}
|
| 75 |
+
if (node.onInputAdded) {
|
| 76 |
+
node.onInputAdded(input);
|
| 77 |
+
}
|
| 78 |
+
node.setSize(node.computeSize());
|
| 79 |
+
LiteGraph.registerNodeAndSlotType(node, input.type || 0);
|
| 80 |
+
|
| 81 |
+
node.setDirtyCanvas(true, true);
|
| 82 |
+
return input;
|
| 83 |
+
}
|
kim_comfyui_data/custom_nodes/ComfyLiterals/nodes.py
ADDED
|
@@ -0,0 +1,136 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import folder_paths
|
| 2 |
+
|
| 3 |
+
# Hack: string type that is always equal in not equal comparisons
|
| 4 |
+
class AnyType(str):
|
| 5 |
+
def __ne__(self, __value: object) -> bool:
|
| 6 |
+
return False
|
| 7 |
+
|
| 8 |
+
|
| 9 |
+
# Our any instance wants to be a wildcard string
|
| 10 |
+
ANY = AnyType("*")
|
| 11 |
+
class IntLiteral:
|
| 12 |
+
def __init__(self, ):
|
| 13 |
+
pass
|
| 14 |
+
|
| 15 |
+
@classmethod
|
| 16 |
+
def INPUT_TYPES(s):
|
| 17 |
+
return {
|
| 18 |
+
"required": {
|
| 19 |
+
"Number": ("STRING", {}),
|
| 20 |
+
}
|
| 21 |
+
}
|
| 22 |
+
|
| 23 |
+
RETURN_TYPES = ("INT",)
|
| 24 |
+
FUNCTION = "to_int"
|
| 25 |
+
|
| 26 |
+
CATEGORY = "Literals"
|
| 27 |
+
|
| 28 |
+
def to_int(self, Number):
|
| 29 |
+
try:
|
| 30 |
+
ret_val = int(Number)
|
| 31 |
+
except Exception:
|
| 32 |
+
raise Exception("Invalid value provided for INT")
|
| 33 |
+
return (ret_val,)
|
| 34 |
+
|
| 35 |
+
|
| 36 |
+
class FloatLiteral:
|
| 37 |
+
def __init__(self, ):
|
| 38 |
+
pass
|
| 39 |
+
|
| 40 |
+
@classmethod
|
| 41 |
+
def INPUT_TYPES(s):
|
| 42 |
+
return {
|
| 43 |
+
"required": {
|
| 44 |
+
"Number": ("STRING", {}),
|
| 45 |
+
}
|
| 46 |
+
}
|
| 47 |
+
|
| 48 |
+
RETURN_TYPES = ("FLOAT",)
|
| 49 |
+
FUNCTION = "to_float"
|
| 50 |
+
|
| 51 |
+
CATEGORY = "Literals"
|
| 52 |
+
|
| 53 |
+
def to_float(self, Number):
|
| 54 |
+
try:
|
| 55 |
+
ret_val = float(Number)
|
| 56 |
+
except Exception:
|
| 57 |
+
raise Exception("Invalid value provided for FLOAT")
|
| 58 |
+
return (ret_val,)
|
| 59 |
+
|
| 60 |
+
|
| 61 |
+
class StringLiteral:
|
| 62 |
+
def __init__(self, ):
|
| 63 |
+
pass
|
| 64 |
+
|
| 65 |
+
@classmethod
|
| 66 |
+
def INPUT_TYPES(s):
|
| 67 |
+
return {
|
| 68 |
+
"required": {
|
| 69 |
+
"String": ("STRING", {"multiline": True}),
|
| 70 |
+
}
|
| 71 |
+
}
|
| 72 |
+
|
| 73 |
+
RETURN_TYPES = ("STRING",)
|
| 74 |
+
FUNCTION = "to_string"
|
| 75 |
+
|
| 76 |
+
CATEGORY = "Literals"
|
| 77 |
+
|
| 78 |
+
def to_string(self, String):
|
| 79 |
+
return (String,)
|
| 80 |
+
|
| 81 |
+
|
| 82 |
+
class CheckpointListLiteral:
|
| 83 |
+
def __init__(self):
|
| 84 |
+
pass
|
| 85 |
+
|
| 86 |
+
@classmethod
|
| 87 |
+
def INPUT_TYPES(s):
|
| 88 |
+
return {
|
| 89 |
+
"required": {
|
| 90 |
+
"literal": ("STRING", {
|
| 91 |
+
"multiline": True,
|
| 92 |
+
"default": "\n".join(folder_paths.get_filename_list("checkpoints"))
|
| 93 |
+
}),
|
| 94 |
+
},
|
| 95 |
+
}
|
| 96 |
+
|
| 97 |
+
RETURN_TYPES = (ANY,)
|
| 98 |
+
RETURN_NAMES = ("Selected Checkpoints",)
|
| 99 |
+
OUTPUT_IS_LIST = (True,)
|
| 100 |
+
FUNCTION = "parse_literal"
|
| 101 |
+
|
| 102 |
+
# OUTPUT_NODE = False
|
| 103 |
+
|
| 104 |
+
CATEGORY = "List Stuff"
|
| 105 |
+
|
| 106 |
+
def parse_literal(self, literal):
|
| 107 |
+
split = list(filter(None, literal.split("\n")))
|
| 108 |
+
return (split,)
|
| 109 |
+
|
| 110 |
+
class LoraListLiteral:
|
| 111 |
+
def __init__(self):
|
| 112 |
+
pass
|
| 113 |
+
|
| 114 |
+
@classmethod
|
| 115 |
+
def INPUT_TYPES(s):
|
| 116 |
+
return {
|
| 117 |
+
"required": {
|
| 118 |
+
"literal": ("STRING", {
|
| 119 |
+
"multiline": True,
|
| 120 |
+
"default": "\n".join(folder_paths.get_filename_list("loras"))
|
| 121 |
+
}),
|
| 122 |
+
},
|
| 123 |
+
}
|
| 124 |
+
|
| 125 |
+
RETURN_TYPES = (ANY,)
|
| 126 |
+
RETURN_NAMES = ("Selected Loras",)
|
| 127 |
+
OUTPUT_IS_LIST = (True,)
|
| 128 |
+
FUNCTION = "parse_literal"
|
| 129 |
+
|
| 130 |
+
# OUTPUT_NODE = False
|
| 131 |
+
|
| 132 |
+
CATEGORY = "List Stuff"
|
| 133 |
+
|
| 134 |
+
def parse_literal(self, literal):
|
| 135 |
+
split = list(filter(None, literal.split("\n")))
|
| 136 |
+
return (split,)
|
kim_comfyui_data/custom_nodes/ComfyLiterals/operations.py
ADDED
|
@@ -0,0 +1,54 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
class Operation:
|
| 2 |
+
def __init__(self, ):
|
| 3 |
+
pass
|
| 4 |
+
|
| 5 |
+
@classmethod
|
| 6 |
+
def INPUT_TYPES(s):
|
| 7 |
+
return {
|
| 8 |
+
"required": {
|
| 9 |
+
"A Type": (["Int", "Float"],),
|
| 10 |
+
"B Type": (["Int", "Float"],),
|
| 11 |
+
"Operation": (["A+B", "A-B", "A*B", "A/B"],)
|
| 12 |
+
},
|
| 13 |
+
"optional": {
|
| 14 |
+
"A - Int": ("INT", {"forceInput": True}),
|
| 15 |
+
"A - Float": ("FLOAT", {"forceInput": True}),
|
| 16 |
+
"B - Int": ("INT", {"forceInput": True}),
|
| 17 |
+
"B - Float": ("FLOAT", {"forceInput": True})
|
| 18 |
+
}
|
| 19 |
+
}
|
| 20 |
+
|
| 21 |
+
RETURN_TYPES = ("INT", "FLOAT")
|
| 22 |
+
FUNCTION = "do_operation"
|
| 23 |
+
|
| 24 |
+
CATEGORY = "Literals"
|
| 25 |
+
|
| 26 |
+
def _do_addition(self, a_val, b_val):
|
| 27 |
+
return (int(a_val + b_val), float(a_val + b_val))
|
| 28 |
+
|
| 29 |
+
def _do_subtraction(self, a_val, b_val):
|
| 30 |
+
return (int(a_val - b_val), float(a_val - b_val))
|
| 31 |
+
|
| 32 |
+
def _do_multiplication(self, a_val, b_val):
|
| 33 |
+
return (int(a_val * b_val), float(a_val * b_val))
|
| 34 |
+
|
| 35 |
+
def _do_division(self, a_val, b_val):
|
| 36 |
+
return (int(a_val / b_val), float(a_val / b_val))
|
| 37 |
+
|
| 38 |
+
def do_operation(self, **kwargs):
|
| 39 |
+
print(f"PrintNode: {kwargs}")
|
| 40 |
+
is_a_int = kwargs["A Type"] == "Int"
|
| 41 |
+
is_b_int = kwargs["B Type"] == "Int"
|
| 42 |
+
a_val = kwargs["A - Int"] if is_a_int else kwargs["A - Float"]
|
| 43 |
+
b_val = kwargs["B - Int"] if is_b_int else kwargs["B - Float"]
|
| 44 |
+
|
| 45 |
+
if kwargs["Operation"] == "A+B":
|
| 46 |
+
return self._do_addition(a_val, b_val)
|
| 47 |
+
elif kwargs["Operation"] == "A-B":
|
| 48 |
+
return self._do_subtraction(a_val, b_val)
|
| 49 |
+
elif kwargs["Operation"] == "A*B":
|
| 50 |
+
return self._do_multiplication(a_val, b_val)
|
| 51 |
+
elif kwargs["Operation"] == "A/B":
|
| 52 |
+
return self._do_division(a_val, b_val)
|
| 53 |
+
else:
|
| 54 |
+
raise Exception("Invalid operation provided")
|
kim_comfyui_data/custom_nodes/ComfyLiterals/startup_utils.py
ADDED
|
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import os
|
| 2 |
+
from pathlib import Path
|
| 3 |
+
|
| 4 |
+
import folder_paths
|
| 5 |
+
|
| 6 |
+
|
| 7 |
+
def symlink_web_dir(local_path, extension_name):
|
| 8 |
+
comfy_web_ext_root = Path(os.path.join(folder_paths.base_path, "web", "extensions"))
|
| 9 |
+
target_dir = Path(os.path.join(comfy_web_ext_root, extension_name))
|
| 10 |
+
extension_path = Path(__file__).parent.resolve()
|
| 11 |
+
|
| 12 |
+
if target_dir.exists():
|
| 13 |
+
print(f"Web extensions folder found at {target_dir}")
|
| 14 |
+
elif comfy_web_ext_root.exists():
|
| 15 |
+
try:
|
| 16 |
+
os.symlink((os.path.join(extension_path, local_path)), target_dir)
|
| 17 |
+
except OSError as e: # OSError
|
| 18 |
+
print(
|
| 19 |
+
f"Error:\n{e}\n"
|
| 20 |
+
f"Failed to create symlink to {target_dir}. Please copy the folder manually.\n"
|
| 21 |
+
f"Source: {os.path.join(extension_path, local_path)}\n"
|
| 22 |
+
f"Target: {target_dir}"
|
| 23 |
+
)
|
| 24 |
+
except Exception as e:
|
| 25 |
+
print(f"Unexpected error:\n{e}")
|
| 26 |
+
else:
|
| 27 |
+
print(
|
| 28 |
+
f"Failed to find comfy root automatically, please copy the folder {os.path.join(extension_path, 'web')} manually in the web/extensions folder of ComfyUI"
|
| 29 |
+
)
|
kim_comfyui_data/custom_nodes/ComfyUI-AK-Pack/.github/workflows/publish.yml
ADDED
|
@@ -0,0 +1,28 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
name: Publish to Comfy registry
|
| 2 |
+
on:
|
| 3 |
+
workflow_dispatch:
|
| 4 |
+
push:
|
| 5 |
+
branches:
|
| 6 |
+
- main
|
| 7 |
+
- master
|
| 8 |
+
paths:
|
| 9 |
+
- "pyproject.toml"
|
| 10 |
+
|
| 11 |
+
permissions:
|
| 12 |
+
issues: write
|
| 13 |
+
|
| 14 |
+
jobs:
|
| 15 |
+
publish-node:
|
| 16 |
+
name: Publish Custom Node to registry
|
| 17 |
+
runs-on: ubuntu-latest
|
| 18 |
+
if: ${{ github.repository_owner == 'akawana' }}
|
| 19 |
+
steps:
|
| 20 |
+
- name: Check out code
|
| 21 |
+
uses: actions/checkout@v4
|
| 22 |
+
with:
|
| 23 |
+
submodules: true
|
| 24 |
+
- name: Publish Custom Node
|
| 25 |
+
uses: Comfy-Org/publish-node-action@v1
|
| 26 |
+
with:
|
| 27 |
+
## Add your own personal access token to your Github Repository secrets and reference it here.
|
| 28 |
+
personal_access_token: ${{ secrets.REGISTRY_ACCESS_TOKEN }}
|
kim_comfyui_data/custom_nodes/ComfyUI-AK-Pack/.gitignore
ADDED
|
@@ -0,0 +1,18 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# Python bytecode
|
| 2 |
+
__pycache__/
|
| 3 |
+
*.pyc
|
| 4 |
+
*.pyo
|
| 5 |
+
*.pyd
|
| 6 |
+
|
| 7 |
+
# Virtual environment
|
| 8 |
+
.venv/
|
| 9 |
+
venv/
|
| 10 |
+
env/
|
| 11 |
+
|
| 12 |
+
# Editor/IDE specific files
|
| 13 |
+
.idea/
|
| 14 |
+
.vscode/
|
| 15 |
+
|
| 16 |
+
# Operating System files
|
| 17 |
+
.DS_Store
|
| 18 |
+
Thumbs.db
|
kim_comfyui_data/custom_nodes/ComfyUI-AK-Pack/README.md
ADDED
|
@@ -0,0 +1,183 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
#### Other My Nodes
|
| 2 |
+
- 📘 [ComfyUI-AK-Pack](https://github.com/akawana/ComfyUI-AK-Pack)
|
| 3 |
+
- 📘 [ComfyUI-AK-XZ-Axis](https://github.com/akawana/ComfyUI-AK-XZ-Axis)
|
| 4 |
+
- 📘 [ComfyUI RGBYP Mask Editor](https://github.com/akawana/ComfyUI-RGBYP-Mask-Editor)
|
| 5 |
+
- 📘 [ComfyUI Folded Prompts](https://github.com/akawana/ComfyUI-Folded-Prompts)
|
| 6 |
+
|
| 7 |
+
# ComfyUI AK Pack
|
| 8 |
+
This is a pack of useful ComfyUI nodes and UI extensions. It was created for **complex and large** workflows. The main goal of this pack is to unify and simplify working with my other packs: 📘 [ComfyUI-AK-XZ-Axis](https://github.com/akawana/ComfyUI-AK-XZ-Axis), 📘 [ComfyUI RGBYP Mask Editor](https://github.com/akawana/ComfyUI-RGBYP-Mask-Editor), 📘 [ComfyUI Folded Prompts](https://github.com/akawana/ComfyUI-Folded-Prompts).
|
| 9 |
+
|
| 10 |
+
The most interesting parts of this pack for most users are:
|
| 11 |
+
- Multiple Samplers Control
|
| 12 |
+
- Project Settings
|
| 13 |
+
- AK Base
|
| 14 |
+
|
| 15 |
+
The other nodes are also useful, but they are of secondary importance. You should be able to figure them out on your own.
|
| 16 |
+
|
| 17 |
+
I have also created example workflows:
|
| 18 |
+
|
| 19 |
+
---
|
| 20 |
+
#### UI: Multiple Samplers Control
|
| 21 |
+
|
| 22 |
+
This is not a node in the traditional sense, but a **ComfyUI UI extension**. The panel allows you to control multiple KSamplers or Detailers from a single place.
|
| 23 |
+
|
| 24 |
+
In my workflows, I often use 6–8 KSamplers and Detailers at the same time. I spent a long time looking for a fast and centralized way to control them, and this panel is the result of that effort.
|
| 25 |
+
|
| 26 |
+
The panel is integrated into the left toolbar of ComfyUI and can be disabled in Settings.
|
| 27 |
+
|
| 28 |
+
The panel includes a Settings tab where you configure, using comma-separated lists, which KSampler nodes you want to control. You can specify node names or node IDs in these lists.
|
| 29 |
+
|
| 30 |
+
For example: "KSampler, 12, 33, My Detailer, BlaBlaSampler" - will find all the samplers mentioned.
|
| 31 |
+
|
| 32 |
+
Once configured, the detected nodes will appear in a dropdown list in the Control tab, allowing you to adjust the settings of your KSamplers or Detailers from a single centralized interface.
|
| 33 |
+
|
| 34 |
+
| [](./img/MSamplers.jpg) | [](./img/MSamplersSettings.jpg) | [](./img/MSamplersChooser.jpg) |
|
| 35 |
+
|---|---|---|
|
| 36 |
+
|
| 37 |
+
---
|
| 38 |
+
#### UI: Project Settings
|
| 39 |
+
|
| 40 |
+
This is not a node in the strict sense. It is a **UI extension** — a panel that allows you to quickly enter the main parameters of your project.
|
| 41 |
+
The panel is embedded into the left toolbar of ComfyUI and can be disabled in the settings.
|
| 42 |
+
|
| 43 |
+
I work a lot with img2img and often use fairly large workflows. I got tired of constantly navigating to different parts of the workflow every time I needed to adjust input parameters, so I created this panel. Now I can load an image and enter all the required values in one place.
|
| 44 |
+
|
| 45 |
+
All panel data is stored directly in the workflow graph, except for the image itself. **The image** is copied to the **input/garbage/** folder. If you delete this folder later, nothing bad will happen — you will simply need to select the image again.
|
| 46 |
+
|
| 47 |
+
To retrieve the data from this panel, I created a separate node called **AKProjectSettingsOut**. Just place it anywhere you need in your workflow to access the panel values.
|
| 48 |
+
|
| 49 |
+
| [](./img/ProjectSettings.jpg) | [](./img/ProjectSettingsOptions.jpg) | [](./img/AKProjectSettingsOut.jpg) |
|
| 50 |
+
|---|---|---|
|
| 51 |
+
|
| 52 |
+
---
|
| 53 |
+
#### Node: AK Base
|
| 54 |
+
|
| 55 |
+
This node is designed as a central hub for working within a workflow, which is why it is called AK Base. At its core, it provides a preview-based comparison of two images. Similar nodes already exist, but this one adds support for a gallery of multiple images.
|
| 56 |
+
|
| 57 |
+
In addition, it includes:
|
| 58 |
+
- a button to copy a single image to the clipboard,
|
| 59 |
+
- a button to copy the entire gallery to the clipboard,
|
| 60 |
+
- a dialog that allows you to inspect the results while working in a different part of the workflow.
|
| 61 |
+
|
| 62 |
+
In the Properties panel, this node provides a setting called node_list.
|
| 63 |
+
This is a text field where you can specify a list of nodes, using either node names or node IDs.
|
| 64 |
+
|
| 65 |
+
Once configured, AK Base can automatically adjust the parameters seed, denoise, cfg, and xz_steps based on the image selected in the gallery.
|
| 66 |
+
This functionality was implemented specifically to support my 📘 [ComfyUI-AK-XZ-Axis](https://github.com/akawana/ComfyUI-AK-XZ-Axis) nodes.
|
| 67 |
+
|
| 68 |
+
| [](./img/AKBase.jpg) | [](./img/AKBaseGallery.jpg) | [](./img/AKBasePIP.jpg) |
|
| 69 |
+
|---|---|---|
|
| 70 |
+
|
| 71 |
+
---
|
| 72 |
+
#### Node: Setter & Getter
|
| 73 |
+
|
| 74 |
+
These nodes already exist in several other packs. My goal was to make them faster. In my implementation, the nodes do not use JavaScript to store or pass data. All data is passed only through Python and direct connections between nodes. Simply put, they hide links and hide outputs and inputs.
|
| 75 |
+
|
| 76 |
+
In my setup, JavaScript is responsible only for updating the list of variables and does not affect the Run process in any way. Based on my comparisons, in complex workflows with 20–30 Getter/Setter nodes, my nodes perform much faster.
|
| 77 |
+
|
| 78 |
+
---
|
| 79 |
+
#### Node: Repeat Group State
|
| 80 |
+
|
| 81 |
+
A connection-free interactive node that synchronizes the state of its own group with the state of other groups matching a given substring. This allows groups to depend on other groups without wires, similar to rgthree repeaters.
|
| 82 |
+
|
| 83 |
+
- Finds groups with names containing the target substring.
|
| 84 |
+
- Checks whether any of them are Active.
|
| 85 |
+
- If **all** matching groups are disabled -> it disables **its own group**.
|
| 86 |
+
- If **any** matching group is active -> it enables **its own group**.
|
| 87 |
+
|
| 88 |
+
<img src="./img/preview_repeater.jpg" height="200"/>
|
| 89 |
+
|
| 90 |
+
---
|
| 91 |
+
#### Node: IsOneOfGroupsActive
|
| 92 |
+
|
| 93 |
+
Checks the state of all groups whose names **contain a specified substring**.
|
| 94 |
+
|
| 95 |
+
- If **at least one** matching group is Active -> output is `true`.
|
| 96 |
+
- If **all** matching groups are Muted/Bypassed -> output is `false`.
|
| 97 |
+
|
| 98 |
+
<img src="./img/preview_is_group_active.jpg" height="200"/>
|
| 99 |
+
|
| 100 |
+
---
|
| 101 |
+
#### Node: AK Index Multiple
|
| 102 |
+
|
| 103 |
+
Extracts a specific range from any **List** (images, masks, latents, text etc..) and creates individual outputs for that range.
|
| 104 |
+
Optionally replaces missing values with a fallback (`if_none`).
|
| 105 |
+
|
| 106 |
+
<img src="./img/AKIndexMultiple.jpg" height="200">
|
| 107 |
+
|
| 108 |
+
---
|
| 109 |
+
#### Node: AK CLIP Encode Multiple
|
| 110 |
+
|
| 111 |
+
Extracts a specific range from any **List** of strings and CLIP encodes individual outputs for that range.
|
| 112 |
+
|
| 113 |
+
Same as **AK Index Multiple** but for CLIP encoding. Works faster than regular CLIP Encoders because does only one encoding for all NONE input strings. Caches the stings and does not encode them if no changes. Also outputs combined conditioning.
|
| 114 |
+
|
| 115 |
+
<img src="./img/AKCLIPEncodeMultiple.jpg" height="200">
|
| 116 |
+
|
| 117 |
+
---
|
| 118 |
+
#### Node: AK KSampler Settings & AK KSampler Settings Out
|
| 119 |
+
|
| 120 |
+
Allows you to define sampler settings anywhere in the workflow.
|
| 121 |
+
The Out node lets you retrieve these settings wherever they are needed.
|
| 122 |
+
|
| 123 |
+
- `Seed`, `Sampler`, `Scheduler`, `Steps`, `Cfg`, `Denoise`, `xz_steps`
|
| 124 |
+
|
| 125 |
+
> [!NOTE]
|
| 126 |
+
> This node includes an additional field called xz_steps.
|
| 127 |
+
> It is used to control the number of steps when working with my 📘 [ComfyUI-AK-XZ-Axis](https://github.com/akawana/ComfyUI-AK-XZ-Axis) nodes.
|
| 128 |
+
> This field is also convenient when used together with the **AK Base** node, because it can automatically set xz_steps = 1 when a single image is selected in the gallery.
|
| 129 |
+
|
| 130 |
+
---
|
| 131 |
+
#### Node: AK Replace Alpha With Color & AK Replace Color With Alpha
|
| 132 |
+
|
| 133 |
+
`AK Replace Alpha With Color` Replaces alpha with a color.
|
| 134 |
+
|
| 135 |
+
`AK Replace Color With Alpha` Performs the reverse operation: Replaces a color with alpha. You can specify the color manually, or use automatic modes that detect the color from pixels in different corners of the image. Image **cropping** is also available. This is useful because when rendering images on a flat background, the outermost pixels around the edges often have color artifacts and are better removed.
|
| 136 |
+
|
| 137 |
+
> [!NOTE]
|
| 138 |
+
> Both of these nodes are useful when working with images that have a transparent background. You can first replace alpha with a color, perform the generation, and then, before saving, remove that color and convert it back to alpha.
|
| 139 |
+
|
| 140 |
+
<img src="./img/AKReplaceAlphaWithColor.jpg" height="200">
|
| 141 |
+
|
| 142 |
+
---
|
| 143 |
+
#### Other nodes
|
| 144 |
+
|
| 145 |
+
##### Node: AK Pipe & AK Pipe Loop
|
| 146 |
+
|
| 147 |
+
AK Pipe is a zero-copy pipeline node that passes a structured pipe object through the graph and updates only explicitly connected inputs. It avoids unnecessary allocations by reusing the original pipe when no values change and creates a new container only on real object replacement. This design minimizes memory churn and Python overhead, making it significantly faster than traditional pipe merge nodes.
|
| 148 |
+
|
| 149 |
+
`AK Pipe Loop` Always outputs the most recently modified connected AK Pipe.
|
| 150 |
+
|
| 151 |
+
##### Node: CLIP Text Encode Cached
|
| 152 |
+
|
| 153 |
+
Simple node for encoding conditioning with a small caching experiment.
|
| 154 |
+
|
| 155 |
+
##### Node: CLIP Text Encode and Combine Cached
|
| 156 |
+
|
| 157 |
+
Can combine the input conditioning with the text entered in the node.
|
| 158 |
+
|
| 159 |
+
<img src="./img/CLIPTextEncodeAndCombineCached.jpg" height="200">
|
| 160 |
+
|
| 161 |
+
##### Node: AK Resize On Boolean
|
| 162 |
+
|
| 163 |
+
Resizes the image and optional mask based on a boolean parameter (enable / disable). Useful when working with the **Project Settings** panel.
|
| 164 |
+
|
| 165 |
+
<img src="./img/AKResizeOnBoolean.jpg" height="200">
|
| 166 |
+
|
| 167 |
+
##### Node: AK Contrast And Saturate Image
|
| 168 |
+
|
| 169 |
+
Node for adjusting image contrast and saturation.
|
| 170 |
+
|
| 171 |
+
##### Node: Preview Raw Text
|
| 172 |
+
|
| 173 |
+
Displays text and can format **JSON**. It also supports displaying a list of texts.
|
| 174 |
+
|
| 175 |
+
---
|
| 176 |
+
|
| 177 |
+
# Installation
|
| 178 |
+
|
| 179 |
+
From your ComfyUI root directory:
|
| 180 |
+
|
| 181 |
+
```bash
|
| 182 |
+
cd ComfyUI/custom_nodes
|
| 183 |
+
git clone https://github.com/akawana/ComfyUI-Utils-extra.git
|
kim_comfyui_data/custom_nodes/ComfyUI-AK-Pack/__init__.py
ADDED
|
@@ -0,0 +1,109 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
WEB_DIRECTORY = "./js"
|
| 2 |
+
|
| 3 |
+
from .nodes.AKIndexMultiple import NODE_CLASS_MAPPINGS as AKIndexMultiple_MAPPINGS
|
| 4 |
+
from .nodes.AKIndexMultiple import NODE_DISPLAY_NAME_MAPPINGS as AKIndexMultiple_DISPLAY
|
| 5 |
+
|
| 6 |
+
from .nodes.AKCLIPEncodeMultiple import NODE_CLASS_MAPPINGS as AKCLIPEncodeMultiple_MAPPINGS
|
| 7 |
+
from .nodes.AKCLIPEncodeMultiple import NODE_DISPLAY_NAME_MAPPINGS as AKCLIPEncodeMultiple_DISPLAY
|
| 8 |
+
|
| 9 |
+
from .nodes.IsOneOfGroupsActive import NODE_CLASS_MAPPINGS as GROUPCHK_MAPPINGS
|
| 10 |
+
from .nodes.IsOneOfGroupsActive import NODE_DISPLAY_NAME_MAPPINGS as GROUPCHK_DISPLAY
|
| 11 |
+
|
| 12 |
+
from .nodes.RepeatGroupState import NODE_CLASS_MAPPINGS as RPSTATE_MAPPINGS
|
| 13 |
+
from .nodes.RepeatGroupState import NODE_DISPLAY_NAME_MAPPINGS as RPSTATE_DISPLAY
|
| 14 |
+
|
| 15 |
+
from .nodes.PreviewRawText import NODE_CLASS_MAPPINGS as PRTSTATE_MAPPINGS
|
| 16 |
+
from .nodes.PreviewRawText import NODE_DISPLAY_NAME_MAPPINGS as PRTSTATE_DISPLAY
|
| 17 |
+
|
| 18 |
+
from .nodes.CLIPTextEncodeCached import NODE_CLASS_MAPPINGS as CLCSTATE_MAPPINGS
|
| 19 |
+
from .nodes.CLIPTextEncodeCached import NODE_DISPLAY_NAME_MAPPINGS as CLCSTATE_DISPLAY
|
| 20 |
+
|
| 21 |
+
from .nodes.CLIPTextEncodeAndCombineCached import NODE_CLASS_MAPPINGS as CLCOMBINE_STATE_MAPPINGS
|
| 22 |
+
from .nodes.CLIPTextEncodeAndCombineCached import NODE_DISPLAY_NAME_MAPPINGS as CLCOMBINE_STATE_DISPLAY
|
| 23 |
+
|
| 24 |
+
from .nodes.AKBase import NODE_CLASS_MAPPINGS as AKBSTATE_MAPPINGS
|
| 25 |
+
from .nodes.AKBase import NODE_DISPLAY_NAME_MAPPINGS as AKBSTATE_DISPLAY
|
| 26 |
+
|
| 27 |
+
from .nodes.AKPipe import NODE_CLASS_MAPPINGS as AKPIPESTATE_MAPPINGS
|
| 28 |
+
from .nodes.AKPipe import NODE_DISPLAY_NAME_MAPPINGS as AKPIPESTATE_DISPLAY
|
| 29 |
+
|
| 30 |
+
from .nodes.AKPipeLoop import NODE_CLASS_MAPPINGS as AKPIPEL_STATE_MAPPINGS
|
| 31 |
+
from .nodes.AKPipeLoop import NODE_DISPLAY_NAME_MAPPINGS as AKPIPEL_STATE_DISPLAY
|
| 32 |
+
|
| 33 |
+
from .nodes.Setter import NODE_CLASS_MAPPINGS as SETTERSTATE_MAPPINGS
|
| 34 |
+
from .nodes.Setter import NODE_DISPLAY_NAME_MAPPINGS as SETTERSTATE_DISPLAY
|
| 35 |
+
|
| 36 |
+
from .nodes.Getter import NODE_CLASS_MAPPINGS as GETTERSTATE_MAPPINGS
|
| 37 |
+
from .nodes.Getter import NODE_DISPLAY_NAME_MAPPINGS as GETTERSTATE_DISPLAY
|
| 38 |
+
|
| 39 |
+
from .nodes.AKResizeOnBoolean import NODE_CLASS_MAPPINGS as RESIZESTATE_MAPPINGS
|
| 40 |
+
from .nodes.AKResizeOnBoolean import NODE_DISPLAY_NAME_MAPPINGS as RESIZESTATE_DISPLAY
|
| 41 |
+
|
| 42 |
+
from .nodes.IsMaskEmpty import NODE_CLASS_MAPPINGS as ISMSTATE_MAPPINGS
|
| 43 |
+
from .nodes.IsMaskEmpty import NODE_DISPLAY_NAME_MAPPINGS as ISMSTATE_DISPLAY
|
| 44 |
+
|
| 45 |
+
from .nodes.AKContrastAndSaturateImage import NODE_CLASS_MAPPINGS as AKSAT_STATE_MAPPINGS
|
| 46 |
+
from .nodes.AKContrastAndSaturateImage import NODE_DISPLAY_NAME_MAPPINGS as AKSAT_STATE_DISPLAY
|
| 47 |
+
|
| 48 |
+
from .nodes.AKReplaceAlphaWithColor import NODE_CLASS_MAPPINGS as AKRALPHA_STATE_MAPPINGS
|
| 49 |
+
from .nodes.AKReplaceAlphaWithColor import NODE_DISPLAY_NAME_MAPPINGS as AKRALPHA_STATE_DISPLAY
|
| 50 |
+
|
| 51 |
+
from .nodes.AKReplaceColorWithAlpha import NODE_CLASS_MAPPINGS as AKRCOLOR_STATE_MAPPINGS
|
| 52 |
+
from .nodes.AKReplaceColorWithAlpha import NODE_DISPLAY_NAME_MAPPINGS as AKRCOLOR_STATE_DISPLAY
|
| 53 |
+
|
| 54 |
+
from .nodes.AKControlMultipleKSamplers import NODE_CLASS_MAPPINGS as AK_CONTROL_SAMPLERS_COLOR_STATE_MAPPINGS
|
| 55 |
+
from .nodes.AKControlMultipleKSamplers import NODE_DISPLAY_NAME_MAPPINGS as AK_CONTROL_SAMPLERS_COLOR_STATE_DISPLAY
|
| 56 |
+
|
| 57 |
+
from .nodes.AKKSamplerSettings import NODE_CLASS_MAPPINGS as AKKSamplerSettings_STATE_MAPPINGS
|
| 58 |
+
from .nodes.AKKSamplerSettings import NODE_DISPLAY_NAME_MAPPINGS as AKKSamplerSettings_STATE_DISPLAY
|
| 59 |
+
|
| 60 |
+
from .nodes.AKProjectSettingsOut import NODE_CLASS_MAPPINGS as AKProjectSettingsOut_STATE_MAPPINGS
|
| 61 |
+
from .nodes.AKProjectSettingsOut import NODE_DISPLAY_NAME_MAPPINGS as AKProjectSettingsOut_STATE_DISPLAY
|
| 62 |
+
|
| 63 |
+
NODE_CLASS_MAPPINGS = {
|
| 64 |
+
**AKIndexMultiple_MAPPINGS,
|
| 65 |
+
**AKCLIPEncodeMultiple_MAPPINGS,
|
| 66 |
+
**GROUPCHK_MAPPINGS,
|
| 67 |
+
**RPSTATE_MAPPINGS,
|
| 68 |
+
**PRTSTATE_MAPPINGS,
|
| 69 |
+
**CLCSTATE_MAPPINGS,
|
| 70 |
+
**CLCOMBINE_STATE_MAPPINGS,
|
| 71 |
+
**AKBSTATE_MAPPINGS,
|
| 72 |
+
**AKPIPESTATE_MAPPINGS,
|
| 73 |
+
**AKPIPEL_STATE_MAPPINGS,
|
| 74 |
+
**SETTERSTATE_MAPPINGS,
|
| 75 |
+
**GETTERSTATE_MAPPINGS,
|
| 76 |
+
**RESIZESTATE_MAPPINGS,
|
| 77 |
+
**ISMSTATE_MAPPINGS,
|
| 78 |
+
**AKSAT_STATE_MAPPINGS,
|
| 79 |
+
**AKRALPHA_STATE_MAPPINGS,
|
| 80 |
+
**AKRCOLOR_STATE_MAPPINGS,
|
| 81 |
+
**AK_CONTROL_SAMPLERS_COLOR_STATE_MAPPINGS,
|
| 82 |
+
**AKKSamplerSettings_STATE_MAPPINGS,
|
| 83 |
+
**AKProjectSettingsOut_STATE_MAPPINGS,
|
| 84 |
+
}
|
| 85 |
+
|
| 86 |
+
NODE_DISPLAY_NAME_MAPPINGS = {
|
| 87 |
+
**AKIndexMultiple_DISPLAY,
|
| 88 |
+
**AKCLIPEncodeMultiple_DISPLAY,
|
| 89 |
+
**GROUPCHK_DISPLAY,
|
| 90 |
+
**RPSTATE_DISPLAY,
|
| 91 |
+
**PRTSTATE_DISPLAY,
|
| 92 |
+
**CLCSTATE_DISPLAY,
|
| 93 |
+
**CLCOMBINE_STATE_DISPLAY,
|
| 94 |
+
**AKBSTATE_DISPLAY,
|
| 95 |
+
**AKPIPESTATE_DISPLAY,
|
| 96 |
+
**AKPIPEL_STATE_DISPLAY,
|
| 97 |
+
**SETTERSTATE_DISPLAY,
|
| 98 |
+
**GETTERSTATE_DISPLAY,
|
| 99 |
+
**RESIZESTATE_DISPLAY,
|
| 100 |
+
**ISMSTATE_DISPLAY,
|
| 101 |
+
**AKSAT_STATE_DISPLAY,
|
| 102 |
+
**AKRALPHA_STATE_DISPLAY,
|
| 103 |
+
**AKRCOLOR_STATE_DISPLAY,
|
| 104 |
+
**AK_CONTROL_SAMPLERS_COLOR_STATE_DISPLAY,
|
| 105 |
+
**AKKSamplerSettings_STATE_DISPLAY,
|
| 106 |
+
**AKProjectSettingsOut_STATE_DISPLAY,
|
| 107 |
+
}
|
| 108 |
+
|
| 109 |
+
__all__ = ["NODE_CLASS_MAPPINGS", "NODE_DISPLAY_NAME_MAPPINGS", "WEB_DIRECTORY"]
|
kim_comfyui_data/custom_nodes/ComfyUI-AK-Pack/icon.jpg
ADDED
|
kim_comfyui_data/custom_nodes/ComfyUI-AK-Pack/img/AKBase.jpg
ADDED
|
kim_comfyui_data/custom_nodes/ComfyUI-AK-Pack/img/AKBaseGallery.jpg
ADDED
|
Git LFS Details
|
kim_comfyui_data/custom_nodes/ComfyUI-AK-Pack/img/AKBasePIP.jpg
ADDED
|
kim_comfyui_data/custom_nodes/ComfyUI-AK-Pack/img/AKBase_big.jpg
ADDED
|
kim_comfyui_data/custom_nodes/ComfyUI-AK-Pack/img/AKCLIPEncodeMultiple.jpg
ADDED
|
kim_comfyui_data/custom_nodes/ComfyUI-AK-Pack/img/AKIndexMultiple.jpg
ADDED
|
kim_comfyui_data/custom_nodes/ComfyUI-AK-Pack/img/AKProjectSettingsOut.jpg
ADDED
|
Git LFS Details
|
kim_comfyui_data/custom_nodes/ComfyUI-AK-Pack/img/AKReplaceAlphaWithColor.jpg
ADDED
|
kim_comfyui_data/custom_nodes/ComfyUI-AK-Pack/img/AKResizeOnBoolean.jpg
ADDED
|
kim_comfyui_data/custom_nodes/ComfyUI-AK-Pack/img/CLIPTextEncodeAndCombineCached.jpg
ADDED
|
kim_comfyui_data/custom_nodes/ComfyUI-AK-Pack/img/MSamplers.jpg
ADDED
|
kim_comfyui_data/custom_nodes/ComfyUI-AK-Pack/img/MSamplersChooser.jpg
ADDED
|
kim_comfyui_data/custom_nodes/ComfyUI-AK-Pack/img/MSamplersSettings.jpg
ADDED
|
kim_comfyui_data/custom_nodes/ComfyUI-AK-Pack/img/MSamplers_big.jpg
ADDED
|
Git LFS Details
|
kim_comfyui_data/custom_nodes/ComfyUI-AK-Pack/img/ProjectSettings.jpg
ADDED
|
kim_comfyui_data/custom_nodes/ComfyUI-AK-Pack/img/ProjectSettingsOptions.jpg
ADDED
|
kim_comfyui_data/custom_nodes/ComfyUI-AK-Pack/img/ProjectSettings_big.jpg
ADDED
|
Git LFS Details
|
kim_comfyui_data/custom_nodes/ComfyUI-AK-Pack/img/preview_is_group_active.jpg
ADDED
|
kim_comfyui_data/custom_nodes/ComfyUI-AK-Pack/img/preview_repeater.jpg
ADDED
|
kim_comfyui_data/custom_nodes/ComfyUI-AK-Pack/js/AKBase.js
ADDED
|
@@ -0,0 +1,263 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import { app } from "/scripts/app.js";
|
| 2 |
+
import { api } from "/scripts/api.js";
|
| 3 |
+
|
| 4 |
+
import { buildTempViewUrl, loadImageFromUrl, loadGalleryByCount, fetchTempJson, IO_SETTINGS } from "./AKBase_io.js";
|
| 5 |
+
import { installInputHandlers } from "./AKBase_input.js";
|
| 6 |
+
import { applyNodeLayout, installDraw } from "./AKBase_ui.js";
|
| 7 |
+
|
| 8 |
+
import "./AKBase_pip.js";
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
const AKBASE_VERSION = "v11-statefile";
|
| 12 |
+
|
| 13 |
+
window.AKBASE_DEBUG ??= true;
|
| 14 |
+
const DBG = (...a) => { if (window.AKBASE_DEBUG) console.log(`[AKBase ${AKBASE_VERSION}]`, ...a); };
|
| 15 |
+
|
| 16 |
+
|
| 17 |
+
function releaseImage(img) {
|
| 18 |
+
if (!img) return;
|
| 19 |
+
try {
|
| 20 |
+
img.onload = null;
|
| 21 |
+
img.onerror = null;
|
| 22 |
+
img.src = "";
|
| 23 |
+
img = null;
|
| 24 |
+
} catch (_) {
|
| 25 |
+
}
|
| 26 |
+
}
|
| 27 |
+
|
| 28 |
+
async function loadCompare(node, stateJson) {
|
| 29 |
+
const state = node._akBase;
|
| 30 |
+
const token = ++state.loadingToken;
|
| 31 |
+
|
| 32 |
+
if (state?.a?.img) {
|
| 33 |
+
releaseImage(state.a.img);
|
| 34 |
+
state.a.img = null;
|
| 35 |
+
}
|
| 36 |
+
if (state?.b?.img) {
|
| 37 |
+
releaseImage(state.b.img);
|
| 38 |
+
state.b.img = null;
|
| 39 |
+
}
|
| 40 |
+
if (state?.gallery?.images?.length) {
|
| 41 |
+
for (const img of state.gallery.images) {
|
| 42 |
+
releaseImage(img);
|
| 43 |
+
}
|
| 44 |
+
state.gallery.images = [];
|
| 45 |
+
state.gallery.urls = [];
|
| 46 |
+
state.gallery.hoverIndex = -1;
|
| 47 |
+
}
|
| 48 |
+
state.a.url = null;
|
| 49 |
+
state.b.url = null;
|
| 50 |
+
state.a.loaded = false;
|
| 51 |
+
state.b.loaded = false;
|
| 52 |
+
|
| 53 |
+
const nid = node?.id;
|
| 54 |
+
const suffix = (nid !== undefined && nid !== null) ? `_${nid}` : "";
|
| 55 |
+
|
| 56 |
+
const aFn = stateJson?.a?.filename ?? `ak_base_image_a${suffix}.png`;
|
| 57 |
+
const bFn = stateJson?.b?.filename ?? `ak_base_image_b${suffix}.png`;
|
| 58 |
+
|
| 59 |
+
const aUrl = buildTempViewUrl(aFn);
|
| 60 |
+
const bUrl = buildTempViewUrl(bFn);
|
| 61 |
+
|
| 62 |
+
state.a.loaded = false;
|
| 63 |
+
state.b.loaded = false;
|
| 64 |
+
state.a.url = aUrl;
|
| 65 |
+
state.b.url = bUrl;
|
| 66 |
+
|
| 67 |
+
DBG("compare loading", { aUrl, bUrl });
|
| 68 |
+
|
| 69 |
+
const [aImg, bImg] = await Promise.all([loadImageFromUrl(aUrl), loadImageFromUrl(bUrl)]);
|
| 70 |
+
if (state.loadingToken !== token) return;
|
| 71 |
+
|
| 72 |
+
state.mode = "compare";
|
| 73 |
+
state.hasGallery = false;
|
| 74 |
+
state.galleryMeta = null;
|
| 75 |
+
state.gallery.images = [];
|
| 76 |
+
state.gallery.urls = [];
|
| 77 |
+
state.gallery.hoverIndex = -1;
|
| 78 |
+
|
| 79 |
+
state.a.img = aImg;
|
| 80 |
+
state.b.img = bImg;
|
| 81 |
+
state.a.loaded = true;
|
| 82 |
+
state.b.loaded = true;
|
| 83 |
+
|
| 84 |
+
DBG("compare loaded", { a: [aImg.naturalWidth, aImg.naturalHeight], b: [bImg.naturalWidth, bImg.naturalHeight] });
|
| 85 |
+
app.graph.setDirtyCanvas(true, true);
|
| 86 |
+
}
|
| 87 |
+
|
| 88 |
+
async function loadGallery(node, stateJson) {
|
| 89 |
+
const state = node._akBase;
|
| 90 |
+
const token = ++state.loadingToken;
|
| 91 |
+
|
| 92 |
+
if (state?.a?.img) {
|
| 93 |
+
releaseImage(state.a.img);
|
| 94 |
+
state.a.img = null;
|
| 95 |
+
}
|
| 96 |
+
if (state?.b?.img) {
|
| 97 |
+
releaseImage(state.b.img);
|
| 98 |
+
state.b.img = null;
|
| 99 |
+
}
|
| 100 |
+
if (state?.gallery?.images?.length) {
|
| 101 |
+
for (const img of state.gallery.images) {
|
| 102 |
+
releaseImage(img);
|
| 103 |
+
}
|
| 104 |
+
state.gallery.images = [];
|
| 105 |
+
state.gallery.urls = [];
|
| 106 |
+
state.gallery.hoverIndex = -1;
|
| 107 |
+
}
|
| 108 |
+
state.a.url = null;
|
| 109 |
+
state.b.url = null;
|
| 110 |
+
state.a.loaded = false;
|
| 111 |
+
state.b.loaded = false;
|
| 112 |
+
|
| 113 |
+
const count = Math.max(0, Math.min(4096, Number(stateJson?.count ?? 0)));
|
| 114 |
+
const nid = node?.id;
|
| 115 |
+
const prefix = String(stateJson?.gallery_prefix ?? ((nid !== undefined && nid !== null) ? `ak_base_image_xy_${nid}_` : "ak_base_image_xy_"));
|
| 116 |
+
|
| 117 |
+
DBG("gallery loading", { count, prefix });
|
| 118 |
+
|
| 119 |
+
const { images, urls } = await loadGalleryByCount(prefix, count);
|
| 120 |
+
if (state.loadingToken !== token) return;
|
| 121 |
+
|
| 122 |
+
state.mode = "gallery";
|
| 123 |
+
state.hasGallery = true;
|
| 124 |
+
state.galleryMeta = { count, prefix };
|
| 125 |
+
state.a.loaded = false;
|
| 126 |
+
state.b.loaded = false;
|
| 127 |
+
|
| 128 |
+
state.gallery.images = images;
|
| 129 |
+
state.gallery.urls = urls;
|
| 130 |
+
state.gallery.hoverIndex = -1;
|
| 131 |
+
|
| 132 |
+
DBG("gallery loaded", { count: images.length });
|
| 133 |
+
app.graph.setDirtyCanvas(true, true);
|
| 134 |
+
}
|
| 135 |
+
|
| 136 |
+
async function loadFromStateFile(node) {
|
| 137 |
+
let s = null;
|
| 138 |
+
try {
|
| 139 |
+
const nid = node?.id;
|
| 140 |
+
const stateFn = (nid !== undefined && nid !== null) ? `ak_base_state_${nid}.json` : IO_SETTINGS.stateFilename;
|
| 141 |
+
s = await fetchTempJson(stateFn);
|
| 142 |
+
DBG("state json", s);
|
| 143 |
+
} catch (e) {
|
| 144 |
+
DBG("state json missing", e);
|
| 145 |
+
return;
|
| 146 |
+
}
|
| 147 |
+
|
| 148 |
+
if (s?.mode === "gallery") {
|
| 149 |
+
await loadGallery(node, s);
|
| 150 |
+
} else {
|
| 151 |
+
await loadCompare(node, s);
|
| 152 |
+
}
|
| 153 |
+
}
|
| 154 |
+
|
| 155 |
+
function installOnNode(node) {
|
| 156 |
+
if (node._akBaseInstalled) return;
|
| 157 |
+
node._akBaseInstalled = true;
|
| 158 |
+
|
| 159 |
+
node._akBase = {
|
| 160 |
+
mode: "compare",
|
| 161 |
+
a: { img: null, url: null, loaded: false },
|
| 162 |
+
b: { img: null, url: null, loaded: false },
|
| 163 |
+
hover: false,
|
| 164 |
+
inPreview: false,
|
| 165 |
+
cursorX: 0.5,
|
| 166 |
+
loadingToken: 0,
|
| 167 |
+
_drawLogged: false,
|
| 168 |
+
hasGallery: false,
|
| 169 |
+
galleryMeta: null,
|
| 170 |
+
gallery: {
|
| 171 |
+
images: [],
|
| 172 |
+
urls: [],
|
| 173 |
+
hoverIndex: -1,
|
| 174 |
+
grid: null,
|
| 175 |
+
},
|
| 176 |
+
};
|
| 177 |
+
|
| 178 |
+
const state = node._akBase;
|
| 179 |
+
|
| 180 |
+
if (!node.properties) node.properties = {};
|
| 181 |
+
if (!Object.prototype.hasOwnProperty.call(node.properties, "node_list")) {
|
| 182 |
+
if (typeof node.addProperty === "function") {
|
| 183 |
+
node.addProperty("node_list", "", "string");
|
| 184 |
+
} else {
|
| 185 |
+
node.properties.node_list = "";
|
| 186 |
+
}
|
| 187 |
+
}
|
| 188 |
+
|
| 189 |
+
|
| 190 |
+
applyNodeLayout(node);
|
| 191 |
+
|
| 192 |
+
state.backToGallery = async () => {
|
| 193 |
+
try {
|
| 194 |
+
if (!state.hasGallery) return false;
|
| 195 |
+
if (state.mode === "gallery") return false;
|
| 196 |
+
|
| 197 |
+
const meta = state.galleryMeta;
|
| 198 |
+
if (!meta || !meta.prefix || !meta.count) return false;
|
| 199 |
+
|
| 200 |
+
const token = ++state.loadingToken;
|
| 201 |
+
const { images, urls } = await loadGalleryByCount(String(meta.prefix), Number(meta.count));
|
| 202 |
+
if (state.loadingToken !== token) return false;
|
| 203 |
+
|
| 204 |
+
state.mode = "gallery";
|
| 205 |
+
state.a.loaded = false;
|
| 206 |
+
state.b.loaded = false;
|
| 207 |
+
|
| 208 |
+
state.gallery.images = images;
|
| 209 |
+
state.gallery.urls = urls;
|
| 210 |
+
state.gallery.hoverIndex = -1;
|
| 211 |
+
|
| 212 |
+
// app.graph.setDirtyCanvas(true, true);
|
| 213 |
+
return true;
|
| 214 |
+
} catch (_) {
|
| 215 |
+
return false;
|
| 216 |
+
}
|
| 217 |
+
};
|
| 218 |
+
|
| 219 |
+
const origOnResize = node.onResize;
|
| 220 |
+
node.onResize = function (size) {
|
| 221 |
+
const r = origOnResize?.call(this, size);
|
| 222 |
+
applyNodeLayout(this);
|
| 223 |
+
|
| 224 |
+
return r;
|
| 225 |
+
};
|
| 226 |
+
|
| 227 |
+
installInputHandlers(node);
|
| 228 |
+
installDraw(node, DBG);
|
| 229 |
+
}
|
| 230 |
+
|
| 231 |
+
|
| 232 |
+
app.registerExtension({
|
| 233 |
+
name: "AKBase",
|
| 234 |
+
async beforeRegisterNodeDef(nodeType, nodeData) {
|
| 235 |
+
if (nodeData?.name !== "AK Base") return;
|
| 236 |
+
|
| 237 |
+
const onCreated = nodeType.prototype.onNodeCreated;
|
| 238 |
+
nodeType.prototype.onNodeCreated = function () {
|
| 239 |
+
const r = onCreated?.apply(this, arguments);
|
| 240 |
+
installOnNode(this);
|
| 241 |
+
return r;
|
| 242 |
+
};
|
| 243 |
+
},
|
| 244 |
+
});
|
| 245 |
+
|
| 246 |
+
api.addEventListener("executed", async (e) => {
|
| 247 |
+
const detail = e?.detail;
|
| 248 |
+
const nodeId = detail?.node;
|
| 249 |
+
if (!nodeId) return;
|
| 250 |
+
|
| 251 |
+
const node = app.graph.getNodeById(nodeId);
|
| 252 |
+
if (!node) return;
|
| 253 |
+
if (node.comfyClass !== "AK Base") return;
|
| 254 |
+
|
| 255 |
+
installOnNode(node);
|
| 256 |
+
|
| 257 |
+
try {
|
| 258 |
+
await loadFromStateFile(node);
|
| 259 |
+
} catch (err) {
|
| 260 |
+
DBG("load error", err);
|
| 261 |
+
// app.graph.setDirtyCanvas(true, true);
|
| 262 |
+
}
|
| 263 |
+
});
|
kim_comfyui_data/custom_nodes/ComfyUI-AK-Pack/js/AKBase_input.js
ADDED
|
@@ -0,0 +1,599 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import { app } from "/scripts/app.js";
|
| 2 |
+
import { previewRect, backButtonRect, copyButtonRect, pipButtonRect } from "./AKBase_ui.js";
|
| 3 |
+
import { fetchTempJson, buildTempViewUrl, loadImageFromUrl } from "./AKBase_io.js";
|
| 4 |
+
|
| 5 |
+
export function installInputHandlers(node) {
|
| 6 |
+
const state = node._akBase;
|
| 7 |
+
if (!state) return;
|
| 8 |
+
|
| 9 |
+
async function copyTopLayerImageToClipboard() {
|
| 10 |
+
try {
|
| 11 |
+
const enabled = (state.mode === "compare");
|
| 12 |
+
console.log("[AKBase] copyTopLayerImageToClipboard", { enabled, mode: state.mode });
|
| 13 |
+
if (!enabled) return false;
|
| 14 |
+
|
| 15 |
+
const img = state?.b?.img || null;
|
| 16 |
+
const url = state?.b?.url || (img?.src || null);
|
| 17 |
+
|
| 18 |
+
if (!navigator?.clipboard?.write || typeof window.ClipboardItem !== "function") {
|
| 19 |
+
console.log("[AKBase] copy failed: ClipboardItem API not available");
|
| 20 |
+
return false;
|
| 21 |
+
}
|
| 22 |
+
|
| 23 |
+
let blob = null;
|
| 24 |
+
|
| 25 |
+
if (url) {
|
| 26 |
+
try {
|
| 27 |
+
const res = await fetch(url, { cache: "no-store" });
|
| 28 |
+
console.log("[AKBase] copy fetch", { ok: res.ok, status: res.status, url });
|
| 29 |
+
if (res.ok) blob = await res.blob();
|
| 30 |
+
} catch (e) {
|
| 31 |
+
console.log("[AKBase] copy fetch error", e);
|
| 32 |
+
}
|
| 33 |
+
}
|
| 34 |
+
|
| 35 |
+
if (!blob && img) {
|
| 36 |
+
const w = Math.max(1, Number(img.naturalWidth || img.width || 0) || 1);
|
| 37 |
+
const h = Math.max(1, Number(img.naturalHeight || img.height || 0) || 1);
|
| 38 |
+
const canvas = document.createElement("canvas");
|
| 39 |
+
canvas.width = w;
|
| 40 |
+
canvas.height = h;
|
| 41 |
+
const ctx = canvas.getContext("2d");
|
| 42 |
+
if (!ctx) {
|
| 43 |
+
console.log("[AKBase] copy failed: no canvas context");
|
| 44 |
+
return false;
|
| 45 |
+
}
|
| 46 |
+
try { ctx.drawImage(img, 0, 0, w, h); } catch (e) { console.log("[AKBase] copy drawImage error", e); }
|
| 47 |
+
blob = await new Promise((resolve) => {
|
| 48 |
+
try { canvas.toBlob(resolve, "image/png"); } catch (_) { resolve(null); }
|
| 49 |
+
});
|
| 50 |
+
}
|
| 51 |
+
|
| 52 |
+
if (!blob) {
|
| 53 |
+
console.log("[AKBase] copy failed: no blob");
|
| 54 |
+
return false;
|
| 55 |
+
}
|
| 56 |
+
|
| 57 |
+
const mime = (blob.type && String(blob.type).startsWith("image/")) ? blob.type : "image/png";
|
| 58 |
+
await navigator.clipboard.write([new ClipboardItem({ [mime]: blob })]);
|
| 59 |
+
console.log("[AKBase] compare image copied to clipboard", { mime, size: blob.size });
|
| 60 |
+
return true;
|
| 61 |
+
} catch (e) {
|
| 62 |
+
console.log("[AKBase] copyTopLayerImageToClipboard exception", e);
|
| 63 |
+
return false;
|
| 64 |
+
}
|
| 65 |
+
}
|
| 66 |
+
|
| 67 |
+
async function copyGalleryToClipboard() {
|
| 68 |
+
try {
|
| 69 |
+
const enabled = (state.mode === "gallery");
|
| 70 |
+
console.log("[AKBase] copyGalleryToClipboard", { enabled, mode: state.mode });
|
| 71 |
+
if (!enabled) return false;
|
| 72 |
+
|
| 73 |
+
const imgs = state?.gallery?.images ?? [];
|
| 74 |
+
const N = imgs.length;
|
| 75 |
+
if (!N) return false;
|
| 76 |
+
|
| 77 |
+
if (!navigator?.clipboard?.write || typeof window.ClipboardItem !== "function") {
|
| 78 |
+
console.log("[AKBase] copy failed: ClipboardItem API not available");
|
| 79 |
+
return false;
|
| 80 |
+
}
|
| 81 |
+
|
| 82 |
+
let cellW = 0;
|
| 83 |
+
let cellH = 0;
|
| 84 |
+
for (const im of imgs) {
|
| 85 |
+
const w = Number(im?.naturalWidth || im?.width || 0) || 0;
|
| 86 |
+
const h = Number(im?.naturalHeight || im?.height || 0) || 0;
|
| 87 |
+
if (w > cellW) cellW = w;
|
| 88 |
+
if (h > cellH) cellH = h;
|
| 89 |
+
}
|
| 90 |
+
if (cellW <= 0 || cellH <= 0) return false;
|
| 91 |
+
|
| 92 |
+
const cols = Math.max(1, Math.ceil(Math.sqrt(N)));
|
| 93 |
+
const rows = Math.max(1, Math.ceil(N / cols));
|
| 94 |
+
const gap = 0;
|
| 95 |
+
|
| 96 |
+
let outW = cols * cellW + gap * (cols - 1);
|
| 97 |
+
let outH = rows * cellH + gap * (rows - 1);
|
| 98 |
+
|
| 99 |
+
const MAX_SIDE = 8192;
|
| 100 |
+
const MAX_PIXELS = 64 * 1024 * 1024;
|
| 101 |
+
let scale = 1;
|
| 102 |
+
|
| 103 |
+
if (outW > MAX_SIDE || outH > MAX_SIDE) {
|
| 104 |
+
scale = Math.min(scale, MAX_SIDE / outW, MAX_SIDE / outH);
|
| 105 |
+
}
|
| 106 |
+
if ((outW * outH) > MAX_PIXELS) {
|
| 107 |
+
scale = Math.min(scale, Math.sqrt(MAX_PIXELS / (outW * outH)));
|
| 108 |
+
}
|
| 109 |
+
|
| 110 |
+
const canvas = document.createElement("canvas");
|
| 111 |
+
canvas.width = Math.max(1, Math.floor(outW * scale));
|
| 112 |
+
canvas.height = Math.max(1, Math.floor(outH * scale));
|
| 113 |
+
|
| 114 |
+
const ctx = canvas.getContext("2d");
|
| 115 |
+
if (!ctx) {
|
| 116 |
+
console.log("[AKBase] copy failed: no canvas context");
|
| 117 |
+
return false;
|
| 118 |
+
}
|
| 119 |
+
|
| 120 |
+
ctx.clearRect(0, 0, canvas.width, canvas.height);
|
| 121 |
+
|
| 122 |
+
const drawCellW = cellW * scale;
|
| 123 |
+
const drawCellH = cellH * scale;
|
| 124 |
+
|
| 125 |
+
for (let i = 0; i < N; i++) {
|
| 126 |
+
const im = imgs[i];
|
| 127 |
+
if (!im) continue;
|
| 128 |
+
|
| 129 |
+
const w = Number(im?.naturalWidth || im?.width || 0) || 1;
|
| 130 |
+
const h = Number(im?.naturalHeight || im?.height || 0) || 1;
|
| 131 |
+
|
| 132 |
+
const col = i % cols;
|
| 133 |
+
const row = Math.floor(i / cols);
|
| 134 |
+
|
| 135 |
+
const x0 = col * drawCellW;
|
| 136 |
+
const y0 = row * drawCellH;
|
| 137 |
+
|
| 138 |
+
const s = Math.min(drawCellW / w, drawCellH / h);
|
| 139 |
+
const dw = w * s;
|
| 140 |
+
const dh = h * s;
|
| 141 |
+
|
| 142 |
+
const dx = x0 + (drawCellW - dw) * 0.5;
|
| 143 |
+
const dy = y0 + (drawCellH - dh) * 0.5;
|
| 144 |
+
|
| 145 |
+
try {
|
| 146 |
+
ctx.drawImage(im, dx, dy, dw, dh);
|
| 147 |
+
} catch (e) {
|
| 148 |
+
console.log("[AKBase] copy gallery drawImage error", e);
|
| 149 |
+
}
|
| 150 |
+
}
|
| 151 |
+
|
| 152 |
+
const blob = await new Promise((resolve) => {
|
| 153 |
+
try { canvas.toBlob(resolve, "image/png"); } catch (_) { resolve(null); }
|
| 154 |
+
});
|
| 155 |
+
|
| 156 |
+
if (!blob) {
|
| 157 |
+
console.log("[AKBase] copy failed: no blob");
|
| 158 |
+
return false;
|
| 159 |
+
}
|
| 160 |
+
|
| 161 |
+
await navigator.clipboard.write([new ClipboardItem({ "image/png": blob })]);
|
| 162 |
+
console.log("[AKBase] gallery copied to clipboard", { w: canvas.width, h: canvas.height, images: N });
|
| 163 |
+
return true;
|
| 164 |
+
} catch (e) {
|
| 165 |
+
console.log("[AKBase] copyGalleryToClipboard exception", e);
|
| 166 |
+
return false;
|
| 167 |
+
}
|
| 168 |
+
}
|
| 169 |
+
|
| 170 |
+
async function copyCurrentViewToClipboard() {
|
| 171 |
+
if (state.mode === "compare") {
|
| 172 |
+
return await copyTopLayerImageToClipboard();
|
| 173 |
+
}
|
| 174 |
+
if (state.mode === "gallery") {
|
| 175 |
+
return await copyGalleryToClipboard();
|
| 176 |
+
}
|
| 177 |
+
return false;
|
| 178 |
+
}
|
| 179 |
+
|
| 180 |
+
function applyImageSettingsToControlledNodes(result) {
|
| 181 |
+
// console.log("[AKBase] applyImageSettingsToControlledNodes", { result });
|
| 182 |
+
try {
|
| 183 |
+
const listRaw = String(node?.properties?.node_list ?? "").trim();
|
| 184 |
+
if (!listRaw) return;
|
| 185 |
+
|
| 186 |
+
const tokens = listRaw
|
| 187 |
+
.split(",")
|
| 188 |
+
.map(s => s.trim())
|
| 189 |
+
.filter(Boolean);
|
| 190 |
+
|
| 191 |
+
|
| 192 |
+
if (!tokens.length) return;
|
| 193 |
+
|
| 194 |
+
const g = app?.graph;
|
| 195 |
+
const nodes = g?._nodes;
|
| 196 |
+
if (!Array.isArray(nodes) || nodes.length === 0) return;
|
| 197 |
+
|
| 198 |
+
const selfId = node?.id;
|
| 199 |
+
|
| 200 |
+
function findWidgetByName(n, widgetName) {
|
| 201 |
+
const ALIASES = {
|
| 202 |
+
seed: ["seed", "seed_value", "seed "],
|
| 203 |
+
steps: ["steps", "step"],
|
| 204 |
+
};
|
| 205 |
+
const ws = n?.widgets;
|
| 206 |
+
if (!Array.isArray(ws)) return null;
|
| 207 |
+
for (const w of ws) {
|
| 208 |
+
if (!w) continue;
|
| 209 |
+
// console.log("[AKBase] checking widget", { name: w.name, widgetName });
|
| 210 |
+
// if (w.name === widgetName || w.name.slice(0, -1) === widgetName) return w;
|
| 211 |
+
const names = ALIASES[widgetName] || [widgetName];
|
| 212 |
+
if (names.includes(w.name) || names.includes(w.name.slice(0, -1))) return w;
|
| 213 |
+
}
|
| 214 |
+
return null;
|
| 215 |
+
}
|
| 216 |
+
|
| 217 |
+
function setWidgetValue(n, widgetName, value) {
|
| 218 |
+
if (value === undefined || value === null) return false;
|
| 219 |
+
|
| 220 |
+
const w = findWidgetByName(n, widgetName);
|
| 221 |
+
console.log("[AKBase] setWidgetValue", { nodeId: n?.id, widgetName, value, widget: w });
|
| 222 |
+
if (!w) return false;
|
| 223 |
+
|
| 224 |
+
let v = value;
|
| 225 |
+
|
| 226 |
+
if (widgetName === "seed" || widgetName === "seed " || widgetName === "seed_value" || widgetName === "steps") {
|
| 227 |
+
const num = Number(v);
|
| 228 |
+
if (!Number.isFinite(num)) return false;
|
| 229 |
+
v = Math.max(0, Math.trunc(num));
|
| 230 |
+
} else if (widgetName === "cfg" || widgetName === "denoise") {
|
| 231 |
+
const num = Number(v);
|
| 232 |
+
if (!Number.isFinite(num)) return false;
|
| 233 |
+
v = num;
|
| 234 |
+
}
|
| 235 |
+
|
| 236 |
+
if (w.value === v) return true;
|
| 237 |
+
|
| 238 |
+
w.value = v;
|
| 239 |
+
|
| 240 |
+
if (typeof w.callback === "function") {
|
| 241 |
+
try { w.callback(v, app); } catch (_) { }
|
| 242 |
+
}
|
| 243 |
+
|
| 244 |
+
if (typeof n.onWidgetChanged === "function") {
|
| 245 |
+
try { n.onWidgetChanged(w.name, v, w); } catch (_) { }
|
| 246 |
+
}
|
| 247 |
+
|
| 248 |
+
if (typeof n.setDirtyCanvas === "function") {
|
| 249 |
+
try { n.setDirtyCanvas(true, true); } catch (_) { }
|
| 250 |
+
}
|
| 251 |
+
|
| 252 |
+
return true;
|
| 253 |
+
}
|
| 254 |
+
|
| 255 |
+
function resolveControlledNode(tok) {
|
| 256 |
+
const raw = tok.replace(/\s+/g, "");
|
| 257 |
+
const num = Number(raw);
|
| 258 |
+
|
| 259 |
+
// by id (keep exactly as was)
|
| 260 |
+
if (Number.isFinite(num) && String(num) === raw) {
|
| 261 |
+
const id = Math.trunc(num);
|
| 262 |
+
return nodes.find(n => n?.id === id) || null;
|
| 263 |
+
}
|
| 264 |
+
|
| 265 |
+
const t = tok.toLowerCase();
|
| 266 |
+
|
| 267 |
+
// exact match first
|
| 268 |
+
const exact =
|
| 269 |
+
nodes.find(n => String(n?.title ?? "").toLowerCase() === t) ||
|
| 270 |
+
nodes.find(n => String(n?.comfyClass ?? "").toLowerCase() === t);
|
| 271 |
+
if (exact) return exact;
|
| 272 |
+
|
| 273 |
+
// substring match
|
| 274 |
+
return (
|
| 275 |
+
nodes.find(n =>
|
| 276 |
+
String(n?.title ?? "").toLowerCase().includes(t)
|
| 277 |
+
) ||
|
| 278 |
+
nodes.find(n =>
|
| 279 |
+
String(n?.comfyClass ?? "").toLowerCase().includes(t)
|
| 280 |
+
) ||
|
| 281 |
+
null
|
| 282 |
+
);
|
| 283 |
+
}
|
| 284 |
+
|
| 285 |
+
for (const tok of tokens) {
|
| 286 |
+
const target = resolveControlledNode(tok);
|
| 287 |
+
console.log("[AKBase] resolved controlled node", { token: tok, targetId: target?.id });
|
| 288 |
+
if (!target) continue;
|
| 289 |
+
if (target?.id === selfId) continue;
|
| 290 |
+
|
| 291 |
+
setWidgetValue(target, "seed", result.seed);
|
| 292 |
+
setWidgetValue(target, "cfg", result.cfg);
|
| 293 |
+
setWidgetValue(target, "steps", result.steps);
|
| 294 |
+
setWidgetValue(target, "denoise", result.denoise);
|
| 295 |
+
setWidgetValue(target, "xz_steps", 1);
|
| 296 |
+
}
|
| 297 |
+
|
| 298 |
+
if (app?.canvas) {
|
| 299 |
+
try { app.canvas.setDirty(true, true); } catch (_) { }
|
| 300 |
+
}
|
| 301 |
+
} catch (e) {
|
| 302 |
+
console.log("[AKBase] applyImageSettingsToControlledNodes failed (ignored)", e);
|
| 303 |
+
}
|
| 304 |
+
}
|
| 305 |
+
|
| 306 |
+
|
| 307 |
+
async function getPropertiesFromImage(imageNumber) {
|
| 308 |
+
console.log("[AKBase] getPropertiesFromImage", { imageNumber });
|
| 309 |
+
|
| 310 |
+
try {
|
| 311 |
+
const idx = Number(imageNumber);
|
| 312 |
+
|
| 313 |
+
const result = {
|
| 314 |
+
seed: null,
|
| 315 |
+
cfg: null,
|
| 316 |
+
denoise: null,
|
| 317 |
+
steps: null,
|
| 318 |
+
};
|
| 319 |
+
|
| 320 |
+
try {
|
| 321 |
+
const nid = node?.id;
|
| 322 |
+
if (nid !== undefined && nid !== null) {
|
| 323 |
+
const cfgFn = `ak_base_xz_config_${nid}.json`;
|
| 324 |
+
const cfg = await fetchTempJson(cfgFn);
|
| 325 |
+
const images = cfg?.image;
|
| 326 |
+
|
| 327 |
+
if (Array.isArray(images)) {
|
| 328 |
+
const it = images[idx];
|
| 329 |
+
if (it && typeof it === "object") {
|
| 330 |
+
const pairs = [
|
| 331 |
+
{
|
| 332 |
+
name: String(it?.x_parameter_name_0 ?? "").toLowerCase(),
|
| 333 |
+
value: it?.x_parameter_value_0,
|
| 334 |
+
},
|
| 335 |
+
{
|
| 336 |
+
name: String(it?.z_parameter_name_0 ?? "").toLowerCase(),
|
| 337 |
+
value: it?.z_parameter_value_0,
|
| 338 |
+
},
|
| 339 |
+
];
|
| 340 |
+
|
| 341 |
+
for (const { name, value } of pairs) {
|
| 342 |
+
if (value === undefined || value === null) continue;
|
| 343 |
+
|
| 344 |
+
if (name === "seed") {
|
| 345 |
+
result.seed = value;
|
| 346 |
+
} else if (name === "cfg") {
|
| 347 |
+
result.cfg = value;
|
| 348 |
+
} else if (name === "denoise") {
|
| 349 |
+
result.denoise = value;
|
| 350 |
+
} else if (name === "step") {
|
| 351 |
+
result.steps = value;
|
| 352 |
+
}
|
| 353 |
+
}
|
| 354 |
+
}
|
| 355 |
+
}
|
| 356 |
+
}
|
| 357 |
+
} catch (e) {
|
| 358 |
+
console.log(
|
| 359 |
+
"[AKBase] getPropertiesFromImage: xz_config read failed (ignored)",
|
| 360 |
+
e
|
| 361 |
+
);
|
| 362 |
+
}
|
| 363 |
+
|
| 364 |
+
return result;
|
| 365 |
+
} catch (e) {
|
| 366 |
+
console.log(
|
| 367 |
+
"[AKBase] getPropertiesFromImage exception (non-fatal):",
|
| 368 |
+
e
|
| 369 |
+
);
|
| 370 |
+
return result;
|
| 371 |
+
}
|
| 372 |
+
}
|
| 373 |
+
|
| 374 |
+
async function setPreviewImage(imageNumber) {
|
| 375 |
+
const g = state.gallery;
|
| 376 |
+
const imgs = g?.images ?? [];
|
| 377 |
+
const idx = Number(imageNumber);
|
| 378 |
+
|
| 379 |
+
if (!imgs.length) return;
|
| 380 |
+
|
| 381 |
+
const bImg = (idx >= 0 && idx < imgs.length) ? imgs[idx] : null;
|
| 382 |
+
if (!bImg) return;
|
| 383 |
+
|
| 384 |
+
const nid = node?.id;
|
| 385 |
+
if (nid === undefined || nid === null) return;
|
| 386 |
+
|
| 387 |
+
const aFn = `ak_base_image_a_${nid}.png`;
|
| 388 |
+
const aUrl = buildTempViewUrl(aFn);
|
| 389 |
+
|
| 390 |
+
let aImg = null;
|
| 391 |
+
try {
|
| 392 |
+
aImg = await loadImageFromUrl(aUrl);
|
| 393 |
+
} catch (_) {
|
| 394 |
+
return;
|
| 395 |
+
}
|
| 396 |
+
|
| 397 |
+
state.mode = "compare";
|
| 398 |
+
|
| 399 |
+
state.a.img = aImg;
|
| 400 |
+
state.a.loaded = true;
|
| 401 |
+
state.a.url = null;
|
| 402 |
+
|
| 403 |
+
state.b.img = bImg;
|
| 404 |
+
state.b.loaded = true;
|
| 405 |
+
state.b.url = null;
|
| 406 |
+
|
| 407 |
+
state.gallery.images = [];
|
| 408 |
+
state.gallery.urls = [];
|
| 409 |
+
state.gallery.hoverIndex = -1;
|
| 410 |
+
|
| 411 |
+
state.inPreview = true;
|
| 412 |
+
state.hover = true;
|
| 413 |
+
state.cursorX = 0.5;
|
| 414 |
+
|
| 415 |
+
node?._akBase?.updateBackBtn?.();
|
| 416 |
+
// app.graph.setDirtyCanvas(true, true);
|
| 417 |
+
}
|
| 418 |
+
|
| 419 |
+
async function copyCompareImageToClipboard() {
|
| 420 |
+
try {
|
| 421 |
+
const enabled = (state.mode === "compare");
|
| 422 |
+
if (!enabled) return false;
|
| 423 |
+
|
| 424 |
+
const hasReady = !!state?.a?.loaded || !!state?.b?.loaded;
|
| 425 |
+
if (!hasReady) return false;
|
| 426 |
+
|
| 427 |
+
const url =
|
| 428 |
+
state?.b?.url || state?.b?.img?.src ||
|
| 429 |
+
state?.a?.url || state?.a?.img?.src ||
|
| 430 |
+
null;
|
| 431 |
+
|
| 432 |
+
if (!url) return false;
|
| 433 |
+
|
| 434 |
+
if (!navigator?.clipboard || typeof navigator.clipboard.write !== "function" || typeof window.ClipboardItem !== "function") {
|
| 435 |
+
console.log("[AKBase] clipboard image write is not supported");
|
| 436 |
+
return false;
|
| 437 |
+
}
|
| 438 |
+
|
| 439 |
+
const res = await fetch(url, { cache: "no-store" });
|
| 440 |
+
if (!res.ok) {
|
| 441 |
+
console.log("[AKBase] copy fetch failed", res.status);
|
| 442 |
+
return false;
|
| 443 |
+
}
|
| 444 |
+
|
| 445 |
+
const blob = await res.blob();
|
| 446 |
+
const mime = blob?.type || "image/png";
|
| 447 |
+
|
| 448 |
+
await navigator.clipboard.write([
|
| 449 |
+
new ClipboardItem({ [mime]: blob })
|
| 450 |
+
]);
|
| 451 |
+
|
| 452 |
+
console.log("[AKBase] image copied to clipboard");
|
| 453 |
+
return true;
|
| 454 |
+
} catch (e) {
|
| 455 |
+
console.log("[AKBase] copyCompareImageToClipboard exception:", e);
|
| 456 |
+
return false;
|
| 457 |
+
}
|
| 458 |
+
}
|
| 459 |
+
|
| 460 |
+
node.onMouseMove = function (e, pos) {
|
| 461 |
+
let localX = pos[0];
|
| 462 |
+
let localY = pos[1];
|
| 463 |
+
if (localX > this.size[0] || localY > this.size[1] || localX < 0 || localY < 0) {
|
| 464 |
+
localX = pos[0] - this.pos[0];
|
| 465 |
+
localY = pos[1] - this.pos[1];
|
| 466 |
+
}
|
| 467 |
+
|
| 468 |
+
const r = previewRect(this);
|
| 469 |
+
const inside = localX >= r.x && localX <= r.x + r.w && localY >= r.y && localY <= r.y + r.h;
|
| 470 |
+
|
| 471 |
+
state.inPreview = inside;
|
| 472 |
+
state.hover = inside;
|
| 473 |
+
|
| 474 |
+
if (!inside) {
|
| 475 |
+
if (state.mode === "gallery") state.gallery.hoverIndex = -1;
|
| 476 |
+
return;
|
| 477 |
+
}
|
| 478 |
+
|
| 479 |
+
if (state.mode === "gallery") {
|
| 480 |
+
const g = state.gallery;
|
| 481 |
+
const grid = g?.grid;
|
| 482 |
+
const N = g?.images?.length ?? 0;
|
| 483 |
+
if (!grid || !N) return;
|
| 484 |
+
|
| 485 |
+
const x = localX - r.x;
|
| 486 |
+
const y = localY - r.y;
|
| 487 |
+
|
| 488 |
+
const col = Math.floor(x / grid.cellW);
|
| 489 |
+
const row = Math.floor(y / grid.cellH);
|
| 490 |
+
const idx = row * grid.cols + col;
|
| 491 |
+
|
| 492 |
+
g.hoverIndex = (idx >= 0 && idx < N) ? idx : -1;
|
| 493 |
+
// app.graph.setDirtyCanvas(true, true);
|
| 494 |
+
return;
|
| 495 |
+
}
|
| 496 |
+
|
| 497 |
+
if (r.w > 0) {
|
| 498 |
+
state.cursorX = Math.min(1, Math.max(0, (localX - r.x) / r.w));
|
| 499 |
+
// app.graph.setDirtyCanvas(true, true);
|
| 500 |
+
}
|
| 501 |
+
};
|
| 502 |
+
|
| 503 |
+
|
| 504 |
+
node.onMouseDown = function (e, pos) {
|
| 505 |
+
console.log("[AKBase] onMouseDown", { mode: state.mode, pos });
|
| 506 |
+
|
| 507 |
+
let localX = pos[0];
|
| 508 |
+
let localY = pos[1];
|
| 509 |
+
if (localX > this.size[0] || localY > this.size[1] || localX < 0 || localY < 0) {
|
| 510 |
+
localX = pos[0] - this.pos[0];
|
| 511 |
+
localY = pos[1] - this.pos[1];
|
| 512 |
+
}
|
| 513 |
+
|
| 514 |
+
const btn = backButtonRect(this);
|
| 515 |
+
const insideBtn = localX >= btn.x && localX <= btn.x + btn.w && localY >= btn.y && localY <= btn.y + btn.h;
|
| 516 |
+
if (insideBtn) {
|
| 517 |
+
const enabled = (state.mode === "compare") && !!state.hasGallery;
|
| 518 |
+
console.log("[AKBase] back button click", { enabled });
|
| 519 |
+
if (enabled) {
|
| 520 |
+
(async () => { await state.backToGallery?.(); })();
|
| 521 |
+
}
|
| 522 |
+
return true;
|
| 523 |
+
}
|
| 524 |
+
|
| 525 |
+
const copyBtn = copyButtonRect(this);
|
| 526 |
+
const insideCopyBtn = localX >= copyBtn.x && localX <= copyBtn.x + copyBtn.w && localY >= copyBtn.y && localY <= copyBtn.y + copyBtn.h;
|
| 527 |
+
if (insideCopyBtn) {
|
| 528 |
+
const enabled = (state.mode === "compare") || (state.mode === "gallery");
|
| 529 |
+
console.log("[AKBase] copy button click", { enabled, mode: state.mode });
|
| 530 |
+
if (enabled) {
|
| 531 |
+
(async () => { await copyCurrentViewToClipboard(); })();
|
| 532 |
+
}
|
| 533 |
+
return true;
|
| 534 |
+
}
|
| 535 |
+
|
| 536 |
+
const pipBtn = pipButtonRect(this);
|
| 537 |
+
const insidePipBtn = localX >= pipBtn.x && localX <= pipBtn.x + pipBtn.w && localY >= pipBtn.y && localY <= pipBtn.y + pipBtn.h;
|
| 538 |
+
if (insidePipBtn) {
|
| 539 |
+
console.log("[AKBase] Open PIP button click");
|
| 540 |
+
try {
|
| 541 |
+
const nid = node?.id;
|
| 542 |
+
if (window.AKBasePip && typeof window.AKBasePip.openForNode === "function") {
|
| 543 |
+
window.AKBasePip.openForNode(nid);
|
| 544 |
+
}
|
| 545 |
+
} catch (e) {
|
| 546 |
+
console.log("[AKBase] Open PIP error", e);
|
| 547 |
+
}
|
| 548 |
+
return true;
|
| 549 |
+
}
|
| 550 |
+
|
| 551 |
+
if (state.mode !== "gallery") return false;
|
| 552 |
+
|
| 553 |
+
const r = previewRect(this);
|
| 554 |
+
const inside = localX >= r.x && localX <= r.x + r.w && localY >= r.y && localY <= r.y + r.h;
|
| 555 |
+
console.log("[AKBase] click inside preview:", inside);
|
| 556 |
+
|
| 557 |
+
if (!inside) return false;
|
| 558 |
+
|
| 559 |
+
const g = state.gallery;
|
| 560 |
+
const grid = g?.grid;
|
| 561 |
+
const N = g?.images?.length ?? 0;
|
| 562 |
+
|
| 563 |
+
if (!grid || !N) {
|
| 564 |
+
console.log("[AKBase] gallery grid/images missing", { hasGrid: !!grid, N });
|
| 565 |
+
return false;
|
| 566 |
+
}
|
| 567 |
+
|
| 568 |
+
const x = localX - r.x;
|
| 569 |
+
const y = localY - r.y;
|
| 570 |
+
|
| 571 |
+
const col = Math.floor(x / grid.cellW);
|
| 572 |
+
const row = Math.floor(y / grid.cellH);
|
| 573 |
+
const idx = row * grid.cols + col;
|
| 574 |
+
|
| 575 |
+
console.log("[AKBase] computed gallery index:", idx, { row, col, cols: grid.cols, cellW: grid.cellW, cellH: grid.cellH, N });
|
| 576 |
+
|
| 577 |
+
if (!(idx >= 0 && idx < N)) return false;
|
| 578 |
+
|
| 579 |
+
g.hoverIndex = idx;
|
| 580 |
+
|
| 581 |
+
(async () => {
|
| 582 |
+
const props = await getPropertiesFromImage(idx);
|
| 583 |
+
console.log("[AKBase] getPropertiesFromImage result:", props);
|
| 584 |
+
if (props) {
|
| 585 |
+
applyImageSettingsToControlledNodes(props);
|
| 586 |
+
await setPreviewImage(idx);
|
| 587 |
+
}
|
| 588 |
+
})();
|
| 589 |
+
|
| 590 |
+
return true;
|
| 591 |
+
};
|
| 592 |
+
|
| 593 |
+
node.onMouseLeave = function () {
|
| 594 |
+
state.hover = false;
|
| 595 |
+
state.inPreview = false;
|
| 596 |
+
if (state.mode === "gallery") state.gallery.hoverIndex = -1;
|
| 597 |
+
// app.graph.setDirtyCanvas(true, true);
|
| 598 |
+
};
|
| 599 |
+
}
|
kim_comfyui_data/custom_nodes/ComfyUI-AK-Pack/js/AKBase_io.js
ADDED
|
@@ -0,0 +1,110 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import { api } from "/scripts/api.js";
|
| 2 |
+
|
| 3 |
+
export const IO_SETTINGS = {
|
| 4 |
+
cacheBustParam: "_akb",
|
| 5 |
+
stateFilename: "ak_base_state.json",
|
| 6 |
+
};
|
| 7 |
+
|
| 8 |
+
|
| 9 |
+
export function buildTempViewUrl(filename) {
|
| 10 |
+
const fn = encodeURIComponent(filename ?? "");
|
| 11 |
+
const base = `/view?filename=${fn}&type=temp&subfolder=&${IO_SETTINGS.cacheBustParam}=${Date.now()}`;
|
| 12 |
+
return api.apiURL(base);
|
| 13 |
+
}
|
| 14 |
+
|
| 15 |
+
export async function fetchTempJson(filename) {
|
| 16 |
+
const url = buildTempViewUrl(filename);
|
| 17 |
+
const res = await fetch(url, { cache: "no-store" });
|
| 18 |
+
if (!res.ok) throw new Error(`HTTP ${res.status}`);
|
| 19 |
+
const txt = await res.text();
|
| 20 |
+
return JSON.parse(txt);
|
| 21 |
+
}
|
| 22 |
+
|
| 23 |
+
export async function loadImageFromUrl(url) {
|
| 24 |
+
const img = new Image();
|
| 25 |
+
img.crossOrigin = "anonymous";
|
| 26 |
+
img.src = url;
|
| 27 |
+
await new Promise((resolve, reject) => {
|
| 28 |
+
img.onload = resolve;
|
| 29 |
+
img.onerror = reject;
|
| 30 |
+
});
|
| 31 |
+
return img;
|
| 32 |
+
}
|
| 33 |
+
|
| 34 |
+
export async function loadGalleryByCount(prefix, count) {
|
| 35 |
+
const images = [];
|
| 36 |
+
const urls = [];
|
| 37 |
+
for (let i = 0; i < count; i++) {
|
| 38 |
+
const filename = `${prefix}${i}.png`;
|
| 39 |
+
const url = buildTempViewUrl(filename);
|
| 40 |
+
const img = await loadImageFromUrl(url);
|
| 41 |
+
images.push(img);
|
| 42 |
+
urls.push(url);
|
| 43 |
+
}
|
| 44 |
+
return { images, urls };
|
| 45 |
+
}
|
| 46 |
+
|
| 47 |
+
|
| 48 |
+
export async function readPngTextChunks(url) {
|
| 49 |
+
const res = await fetch(url, { cache: "no-store" });
|
| 50 |
+
const buf = await res.arrayBuffer();
|
| 51 |
+
const bytes = new Uint8Array(buf);
|
| 52 |
+
if (bytes.length < 8) return [];
|
| 53 |
+
|
| 54 |
+
let off = 8;
|
| 55 |
+
const out = [];
|
| 56 |
+
|
| 57 |
+
const dv = new DataView(bytes.buffer, bytes.byteOffset, bytes.byteLength);
|
| 58 |
+
const dec = new TextDecoder();
|
| 59 |
+
|
| 60 |
+
while (off + 12 <= bytes.length) {
|
| 61 |
+
const len = dv.getUint32(off, false); off += 4;
|
| 62 |
+
const type = dec.decode(bytes.slice(off, off + 4)); off += 4;
|
| 63 |
+
|
| 64 |
+
if (off + len + 4 > bytes.length) break;
|
| 65 |
+
|
| 66 |
+
const data = bytes.slice(off, off + len); off += len;
|
| 67 |
+
off += 4; // crc
|
| 68 |
+
|
| 69 |
+
if (type === "tEXt") {
|
| 70 |
+
const i0 = data.indexOf(0);
|
| 71 |
+
if (i0 > 0) {
|
| 72 |
+
const key = dec.decode(data.slice(0, i0));
|
| 73 |
+
const val = dec.decode(data.slice(i0 + 1));
|
| 74 |
+
out.push({ type, key, val });
|
| 75 |
+
}
|
| 76 |
+
} else if (type === "iTXt") {
|
| 77 |
+
const i0 = data.indexOf(0);
|
| 78 |
+
if (i0 > 0) {
|
| 79 |
+
const key = dec.decode(data.slice(0, i0));
|
| 80 |
+
let p = i0 + 1;
|
| 81 |
+
if (p + 2 <= data.length) {
|
| 82 |
+
const compressionFlag = data[p]; p += 1;
|
| 83 |
+
p += 1; // compressionMethod
|
| 84 |
+
|
| 85 |
+
const z1 = data.indexOf(0, p);
|
| 86 |
+
if (z1 < 0) { out.push({ type, key, val: "" }); continue; }
|
| 87 |
+
p = z1 + 1;
|
| 88 |
+
|
| 89 |
+
const z2 = data.indexOf(0, p);
|
| 90 |
+
if (z2 < 0) { out.push({ type, key, val: "" }); continue; }
|
| 91 |
+
p = z2 + 1;
|
| 92 |
+
|
| 93 |
+
const z3 = data.indexOf(0, p);
|
| 94 |
+
if (z3 < 0) { out.push({ type, key, val: "" }); continue; }
|
| 95 |
+
p = z3 + 1;
|
| 96 |
+
|
| 97 |
+
let val = "";
|
| 98 |
+
if (compressionFlag === 0) {
|
| 99 |
+
val = dec.decode(data.slice(p));
|
| 100 |
+
}
|
| 101 |
+
out.push({ type, key, val });
|
| 102 |
+
}
|
| 103 |
+
}
|
| 104 |
+
}
|
| 105 |
+
|
| 106 |
+
if (type === "IEND") break;
|
| 107 |
+
}
|
| 108 |
+
|
| 109 |
+
return out;
|
| 110 |
+
}
|
kim_comfyui_data/custom_nodes/ComfyUI-AK-Pack/js/AKBase_pip.js
ADDED
|
@@ -0,0 +1,926 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import { app } from "/scripts/app.js";
|
| 2 |
+
import { renderCompare } from "./AKBase_ui.js";
|
| 3 |
+
|
| 4 |
+
const TITLE_HEIGHT = 40;
|
| 5 |
+
const PIP_ID = "akbase-pip-window";
|
| 6 |
+
const AKBASE_PIP_MAX_WIDTH_RATIO = 0.9;
|
| 7 |
+
const AKBASE_PIP_MAX_HEIGHT_RATIO = 0.9;
|
| 8 |
+
|
| 9 |
+
const AKBASE_PIP_MAX_BACKING_WIDTH = 2048;
|
| 10 |
+
const AKBASE_PIP_MAX_BACKING_HEIGHT = 2048;
|
| 11 |
+
|
| 12 |
+
const AKBASE_PIP_BUTTON_SIZE = 18;
|
| 13 |
+
|
| 14 |
+
const extensionBaseUrl = "/extensions/ComfyUI-AK-Pack/";
|
| 15 |
+
|
| 16 |
+
function createTitleIconButton(src, title, onClick) {
|
| 17 |
+
const btn = document.createElement("button");
|
| 18 |
+
btn.type = "button";
|
| 19 |
+
btn.title = title || "";
|
| 20 |
+
btn.style.border = "none";
|
| 21 |
+
btn.style.outline = "none";
|
| 22 |
+
btn.style.margin = "0";
|
| 23 |
+
btn.style.padding = "0";
|
| 24 |
+
btn.style.width = AKBASE_PIP_BUTTON_SIZE + "px";
|
| 25 |
+
btn.style.height = AKBASE_PIP_BUTTON_SIZE + "px";
|
| 26 |
+
btn.style.background = "transparent";
|
| 27 |
+
btn.style.cursor = "pointer";
|
| 28 |
+
btn.style.display = "inline-flex";
|
| 29 |
+
btn.style.alignItems = "center";
|
| 30 |
+
btn.style.justifyContent = "center";
|
| 31 |
+
btn.style.flex = "0 0 auto";
|
| 32 |
+
|
| 33 |
+
const img = document.createElement("img");
|
| 34 |
+
img.src = extensionBaseUrl + src;
|
| 35 |
+
img.alt = title || "";
|
| 36 |
+
img.style.display = "block";
|
| 37 |
+
img.style.width = "100%";
|
| 38 |
+
img.style.height = "100%";
|
| 39 |
+
img.style.objectFit = "contain";
|
| 40 |
+
|
| 41 |
+
btn.appendChild(img);
|
| 42 |
+
|
| 43 |
+
btn.addEventListener("click", (e) => {
|
| 44 |
+
e.stopPropagation();
|
| 45 |
+
if (typeof onClick === "function") {
|
| 46 |
+
onClick(e);
|
| 47 |
+
}
|
| 48 |
+
});
|
| 49 |
+
|
| 50 |
+
btn.addEventListener("mousedown", (e) => {
|
| 51 |
+
e.stopPropagation();
|
| 52 |
+
});
|
| 53 |
+
|
| 54 |
+
return btn;
|
| 55 |
+
}
|
| 56 |
+
|
| 57 |
+
function cleanupPipWindow(container) {
|
| 58 |
+
try {
|
| 59 |
+
if (!container) return;
|
| 60 |
+
if (typeof container._akPipDragCleanup === "function") {
|
| 61 |
+
container._akPipDragCleanup();
|
| 62 |
+
}
|
| 63 |
+
if (typeof container._akPipResizeCleanup === "function") {
|
| 64 |
+
container._akPipResizeCleanup();
|
| 65 |
+
}
|
| 66 |
+
if (typeof container._akPipCanvasCleanup === "function") {
|
| 67 |
+
container._akPipCanvasCleanup();
|
| 68 |
+
}
|
| 69 |
+
const canvas = container.querySelector("canvas");
|
| 70 |
+
if (canvas) {
|
| 71 |
+
canvas.width = 0;
|
| 72 |
+
canvas.height = 0;
|
| 73 |
+
}
|
| 74 |
+
container._akPipDragCleanup = null;
|
| 75 |
+
container._akPipResizeCleanup = null;
|
| 76 |
+
} catch (_) {}
|
| 77 |
+
}
|
| 78 |
+
|
| 79 |
+
function destroyPipWindow(container) {
|
| 80 |
+
if (!container) {
|
| 81 |
+
container = document.getElementById(PIP_ID);
|
| 82 |
+
}
|
| 83 |
+
if (!container) return;
|
| 84 |
+
cleanupPipWindow(container);
|
| 85 |
+
if (container.parentNode) {
|
| 86 |
+
container.parentNode.removeChild(container);
|
| 87 |
+
}
|
| 88 |
+
}
|
| 89 |
+
|
| 90 |
+
function createPipWindow(nodeId) {
|
| 91 |
+
const pipId = `${PIP_ID}-${nodeId}`;
|
| 92 |
+
if (document.getElementById(pipId)) return;
|
| 93 |
+
|
| 94 |
+
const dpr = window.devicePixelRatio || 1;
|
| 95 |
+
const viewportWidth = window.innerWidth || 800;
|
| 96 |
+
const viewportHeight = window.innerHeight || 600;
|
| 97 |
+
|
| 98 |
+
// Aspect of viewport: width / height
|
| 99 |
+
const aspect = viewportWidth / viewportHeight;
|
| 100 |
+
// 20% of larger side
|
| 101 |
+
const maxSide = Math.max(viewportWidth, viewportHeight) * 0.2;
|
| 102 |
+
|
| 103 |
+
let canvasWidth;
|
| 104 |
+
let canvasHeight;
|
| 105 |
+
|
| 106 |
+
if (aspect >= 1) {
|
| 107 |
+
// Landscape-like viewport
|
| 108 |
+
canvasWidth = maxSide;
|
| 109 |
+
canvasHeight = maxSide / aspect;
|
| 110 |
+
} else {
|
| 111 |
+
// Portrait-like viewport
|
| 112 |
+
canvasHeight = maxSide;
|
| 113 |
+
canvasWidth = maxSide * aspect;
|
| 114 |
+
}
|
| 115 |
+
|
| 116 |
+
canvasWidth = Math.max(160, Math.floor(canvasWidth));
|
| 117 |
+
canvasHeight = Math.max(90, Math.floor(canvasHeight));
|
| 118 |
+
|
| 119 |
+
const windowWidth = canvasWidth;
|
| 120 |
+
const windowHeight = canvasHeight + TITLE_HEIGHT;
|
| 121 |
+
|
| 122 |
+
const container = document.createElement("div");
|
| 123 |
+
container.id = pipId;
|
| 124 |
+
container.style.position = "fixed";
|
| 125 |
+
container.style.boxSizing = "border-box";
|
| 126 |
+
container.style.left = `${Math.max(10, (viewportWidth - windowWidth) / 2)}px`;
|
| 127 |
+
container.style.top = "20px";
|
| 128 |
+
container.style.width = `${windowWidth}px`;
|
| 129 |
+
container.style.height = `${windowHeight}px`;
|
| 130 |
+
container.style.background = "#111";
|
| 131 |
+
container.style.border = "1px solid #444";
|
| 132 |
+
container.style.borderRadius = "6px";
|
| 133 |
+
container.style.boxShadow = "0 4px 16px rgba(0,0,0,0.5)";
|
| 134 |
+
container.style.zIndex = "9999";
|
| 135 |
+
container.style.display = "flex";
|
| 136 |
+
container.style.flexDirection = "column";
|
| 137 |
+
container.style.padding = "0";
|
| 138 |
+
container.style.margin = "0";
|
| 139 |
+
container.style.overflow = "hidden";
|
| 140 |
+
|
| 141 |
+
// Title bar (drag handle)
|
| 142 |
+
const titleBar = document.createElement("div");
|
| 143 |
+
titleBar.style.flex = "0 0 auto";
|
| 144 |
+
titleBar.style.height = `${TITLE_HEIGHT}px`;
|
| 145 |
+
titleBar.style.cursor = "move";
|
| 146 |
+
titleBar.style.userSelect = "none";
|
| 147 |
+
titleBar.style.WebkitUserSelect = "none";
|
| 148 |
+
titleBar.style.MozUserSelect = "none";
|
| 149 |
+
titleBar.style.padding = "0 12px";
|
| 150 |
+
titleBar.style.background = "#222";
|
| 151 |
+
titleBar.style.color = "#eee";
|
| 152 |
+
titleBar.style.fontSize = "12px";
|
| 153 |
+
titleBar.style.fontFamily =
|
| 154 |
+
"Inter, system-ui, -apple-system, BlinkMacSystemFont, 'Segoe UI', sans-serif";
|
| 155 |
+
titleBar.style.display = "flex";
|
| 156 |
+
titleBar.style.position = "relative";
|
| 157 |
+
titleBar.style.zIndex = "2";
|
| 158 |
+
titleBar.style.alignItems = "center";
|
| 159 |
+
titleBar.style.justifyContent = "space-between";
|
| 160 |
+
titleBar.style.boxSizing = "border-box";
|
| 161 |
+
|
| 162 |
+
const leftButtons = document.createElement("div");
|
| 163 |
+
leftButtons.style.flex = "0 0 auto";
|
| 164 |
+
leftButtons.style.display = "flex";
|
| 165 |
+
leftButtons.style.alignItems = "center";
|
| 166 |
+
|
| 167 |
+
const titleText = document.createElement("div");
|
| 168 |
+
titleText.textContent = "AK Base PiP";
|
| 169 |
+
titleText.style.flex = "1 1 auto";
|
| 170 |
+
titleText.style.overflow = "hidden";
|
| 171 |
+
titleText.style.whiteSpace = "nowrap";
|
| 172 |
+
titleText.style.textOverflow = "ellipsis";
|
| 173 |
+
titleText.style.textAlign = "center";
|
| 174 |
+
|
| 175 |
+
const rightButtons = document.createElement("div");
|
| 176 |
+
rightButtons.style.flex = "0 0 auto";
|
| 177 |
+
rightButtons.style.display = "flex";
|
| 178 |
+
rightButtons.style.alignItems = "center";
|
| 179 |
+
rightButtons.style.gap = "6px";
|
| 180 |
+
|
| 181 |
+
titleBar.appendChild(leftButtons);
|
| 182 |
+
titleBar.appendChild(titleText);
|
| 183 |
+
titleBar.appendChild(rightButtons);
|
| 184 |
+
|
| 185 |
+
// Canvas area, no padding around
|
| 186 |
+
const canvas = document.createElement("canvas");
|
| 187 |
+
canvas.style.flex = "0 0 auto";
|
| 188 |
+
canvas.style.display = "block";
|
| 189 |
+
canvas.style.background = "red";
|
| 190 |
+
canvas.style.margin = "0 auto";
|
| 191 |
+
canvas.style.padding = "0";
|
| 192 |
+
|
| 193 |
+
canvas.width = Math.floor(canvasWidth * dpr);
|
| 194 |
+
canvas.height = Math.floor(canvasHeight * dpr);
|
| 195 |
+
|
| 196 |
+
const pipState = container._akPipState || (container._akPipState = {
|
| 197 |
+
inPreview: false,
|
| 198 |
+
cursorX: 0.5,
|
| 199 |
+
zoom: 1,
|
| 200 |
+
offsetX: 0,
|
| 201 |
+
offsetY: 0,
|
| 202 |
+
});
|
| 203 |
+
|
| 204 |
+
function onCanvasMove(e) {
|
| 205 |
+
const rect = canvas.getBoundingClientRect();
|
| 206 |
+
const x = e.clientX - rect.left;
|
| 207 |
+
const y = e.clientY - rect.top;
|
| 208 |
+
if (x >= 0 && y >= 0 && x <= rect.width && y <= rect.height) {
|
| 209 |
+
pipState.inPreview = true;
|
| 210 |
+
pipState.cursorX = rect.width > 0 ? Math.min(1, Math.max(0, x / rect.width)) : 0.5;
|
| 211 |
+
} else {
|
| 212 |
+
pipState.inPreview = false;
|
| 213 |
+
}
|
| 214 |
+
}
|
| 215 |
+
|
| 216 |
+
function onCanvasLeave() {
|
| 217 |
+
pipState.inPreview = false;
|
| 218 |
+
}
|
| 219 |
+
|
| 220 |
+
function onCanvasWheel(e) {
|
| 221 |
+
e.preventDefault();
|
| 222 |
+
|
| 223 |
+
const canvasRect = canvas.getBoundingClientRect();
|
| 224 |
+
const containerRect = container.getBoundingClientRect();
|
| 225 |
+
|
| 226 |
+
const oldZoom = pipState.zoom || 1;
|
| 227 |
+
const zoomFactor = e.deltaY < 0 ? 1.1 : 1.0 / 1.1;
|
| 228 |
+
const newZoom = Math.min(25, Math.max(0.2, oldZoom * zoomFactor));
|
| 229 |
+
|
| 230 |
+
// Determine if pointer is currently over the canvas
|
| 231 |
+
const overCanvas =
|
| 232 |
+
e.clientX >= canvasRect.left &&
|
| 233 |
+
e.clientX <= canvasRect.right &&
|
| 234 |
+
e.clientY >= canvasRect.top &&
|
| 235 |
+
e.clientY <= canvasRect.bottom;
|
| 236 |
+
|
| 237 |
+
// Zoom IN only when the mouse is over the canvas
|
| 238 |
+
if (newZoom > oldZoom && !overCanvas) {
|
| 239 |
+
return;
|
| 240 |
+
}
|
| 241 |
+
|
| 242 |
+
// Mouse position relative to the dialog (container-local)
|
| 243 |
+
const mouseX = e.clientX - containerRect.left;
|
| 244 |
+
const mouseY = e.clientY - containerRect.top;
|
| 245 |
+
|
| 246 |
+
// Anchor is stored in dialog coordinates only
|
| 247 |
+
if (newZoom > oldZoom) {
|
| 248 |
+
pipState.lastZoomAnchor = {
|
| 249 |
+
mouseX,
|
| 250 |
+
mouseY,
|
| 251 |
+
};
|
| 252 |
+
}
|
| 253 |
+
|
| 254 |
+
// Decide which anchor to use for this wheel step
|
| 255 |
+
let anchorX = mouseX;
|
| 256 |
+
let anchorY = mouseY;
|
| 257 |
+
if (newZoom < oldZoom && pipState.lastZoomAnchor) {
|
| 258 |
+
anchorX = pipState.lastZoomAnchor.mouseX;
|
| 259 |
+
anchorY = pipState.lastZoomAnchor.mouseY;
|
| 260 |
+
}
|
| 261 |
+
|
| 262 |
+
// Canvas position relative to dialog
|
| 263 |
+
const oldWidth = canvasRect.width || 1;
|
| 264 |
+
const oldHeight = canvasRect.height || 1;
|
| 265 |
+
const canvasLeft = canvasRect.left - containerRect.left;
|
| 266 |
+
const canvasTop = canvasRect.top - containerRect.top;
|
| 267 |
+
|
| 268 |
+
// Relative position of the anchor within the canvas,
|
| 269 |
+
// computed from dialog-space anchor and current canvas position.
|
| 270 |
+
const relX = (anchorX - canvasLeft) / oldWidth;
|
| 271 |
+
const relY = (anchorY - canvasTop) / oldHeight;
|
| 272 |
+
|
| 273 |
+
pipState.zoom = newZoom;
|
| 274 |
+
|
| 275 |
+
if (typeof resizeCanvasToWindow === "function") {
|
| 276 |
+
resizeCanvasToWindow(container, canvas, true);
|
| 277 |
+
}
|
| 278 |
+
|
| 279 |
+
// Reset transform to measure freshly sized canvas
|
| 280 |
+
canvas.style.transform = "translate(0px, 0px)";
|
| 281 |
+
|
| 282 |
+
const baseRect = canvas.getBoundingClientRect();
|
| 283 |
+
const baseLeft = baseRect.left - containerRect.left;
|
| 284 |
+
const baseTop = baseRect.top - containerRect.top;
|
| 285 |
+
|
| 286 |
+
const newWidth = baseRect.width || 1;
|
| 287 |
+
const newHeight = baseRect.height || 1;
|
| 288 |
+
|
| 289 |
+
// Keep the same logical point under the anchor after resize
|
| 290 |
+
const desiredLeft = anchorX - relX * newWidth;
|
| 291 |
+
const desiredTop = anchorY - relY * newHeight;
|
| 292 |
+
|
| 293 |
+
const offsetX = desiredLeft - baseLeft;
|
| 294 |
+
const offsetY = desiredTop - baseTop;
|
| 295 |
+
|
| 296 |
+
pipState.offsetX = offsetX;
|
| 297 |
+
pipState.offsetY = offsetY;
|
| 298 |
+
|
| 299 |
+
canvas.style.transform = `translate(${offsetX}px, ${offsetY}px)`;
|
| 300 |
+
}
|
| 301 |
+
|
| 302 |
+
|
| 303 |
+
let isPanning = false;
|
| 304 |
+
let panStartX = 0;
|
| 305 |
+
let panStartY = 0;
|
| 306 |
+
let panStartOffsetX = 0;
|
| 307 |
+
let panStartOffsetY = 0;
|
| 308 |
+
|
| 309 |
+
function onCanvasPanMouseDown(e) {
|
| 310 |
+
if (e.button !== 0) return;
|
| 311 |
+
e.preventDefault();
|
| 312 |
+
isPanning = true;
|
| 313 |
+
panStartX = e.clientX;
|
| 314 |
+
panStartY = e.clientY;
|
| 315 |
+
panStartOffsetX = pipState.offsetX || 0;
|
| 316 |
+
panStartOffsetY = pipState.offsetY || 0;
|
| 317 |
+
|
| 318 |
+
window.addEventListener("mousemove", onCanvasPanMouseMove);
|
| 319 |
+
window.addEventListener("mouseup", onCanvasPanMouseUp);
|
| 320 |
+
}
|
| 321 |
+
|
| 322 |
+
function onCanvasPanMouseMove(e) {
|
| 323 |
+
if (!isPanning) return;
|
| 324 |
+
const dx = e.clientX - panStartX;
|
| 325 |
+
const dy = e.clientY - panStartY;
|
| 326 |
+
pipState.offsetX = panStartOffsetX + dx;
|
| 327 |
+
pipState.offsetY = panStartOffsetY + dy;
|
| 328 |
+
}
|
| 329 |
+
|
| 330 |
+
function onCanvasPanMouseUp(e) {
|
| 331 |
+
if (!isPanning) return;
|
| 332 |
+
isPanning = false;
|
| 333 |
+
window.removeEventListener("mousemove", onCanvasPanMouseMove);
|
| 334 |
+
window.removeEventListener("mouseup", onCanvasPanMouseUp);
|
| 335 |
+
}
|
| 336 |
+
canvas.addEventListener("mousemove", onCanvasMove);
|
| 337 |
+
canvas.addEventListener("mouseleave", onCanvasLeave);
|
| 338 |
+
container.addEventListener("wheel", onCanvasWheel, { passive: false });
|
| 339 |
+
canvas.addEventListener("mousedown", onCanvasPanMouseDown);
|
| 340 |
+
|
| 341 |
+
container._akPipCanvasCleanup = function () {
|
| 342 |
+
canvas.removeEventListener("mousemove", onCanvasMove);
|
| 343 |
+
canvas.removeEventListener("mouseleave", onCanvasLeave);
|
| 344 |
+
canvas.removeEventListener("wheel", onCanvasWheel);
|
| 345 |
+
canvas.removeEventListener("mousedown", onCanvasPanMouseDown);
|
| 346 |
+
window.removeEventListener("mousemove", onCanvasPanMouseMove);
|
| 347 |
+
window.removeEventListener("mouseup", onCanvasPanMouseUp);
|
| 348 |
+
};
|
| 349 |
+
|
| 350 |
+
container.appendChild(titleBar);
|
| 351 |
+
container.appendChild(canvas);
|
| 352 |
+
container.dataset.akbaseNodeId = (nodeId !== undefined && nodeId !== null) ? String(nodeId) : "";
|
| 353 |
+
container._akBaseNodeId = container.dataset.akbaseNodeId;
|
| 354 |
+
const maximizeButton = createTitleIconButton("img/i_max.png", "Maximize", () => {
|
| 355 |
+
const isMaximized = !!container._akPipMaximized;
|
| 356 |
+
if (!isMaximized) {
|
| 357 |
+
const rect = container.getBoundingClientRect();
|
| 358 |
+
container._akPipPrevRect = {
|
| 359 |
+
left: rect.left,
|
| 360 |
+
top: rect.top,
|
| 361 |
+
width: rect.width,
|
| 362 |
+
height: rect.height,
|
| 363 |
+
};
|
| 364 |
+
|
| 365 |
+
const viewportWidth = window.innerWidth || 800;
|
| 366 |
+
const viewportHeight = window.innerHeight || 600;
|
| 367 |
+
|
| 368 |
+
const newWidth = Math.floor(viewportWidth * AKBASE_PIP_MAX_WIDTH_RATIO);
|
| 369 |
+
const newHeight = Math.floor(viewportHeight * AKBASE_PIP_MAX_HEIGHT_RATIO);
|
| 370 |
+
|
| 371 |
+
const left = Math.max(0, Math.floor((viewportWidth - newWidth) / 2));
|
| 372 |
+
const top = Math.max(0, Math.floor((viewportHeight - newHeight) / 2));
|
| 373 |
+
|
| 374 |
+
container.style.left = left + "px";
|
| 375 |
+
container.style.top = top + "px";
|
| 376 |
+
container.style.width = newWidth + "px";
|
| 377 |
+
container.style.height = newHeight + "px";
|
| 378 |
+
container.style.right = "";
|
| 379 |
+
container.style.bottom = "";
|
| 380 |
+
|
| 381 |
+
container._akPipMaximized = true;
|
| 382 |
+
|
| 383 |
+
const img = maximizeButton.querySelector("img");
|
| 384 |
+
if (img) {
|
| 385 |
+
img.src = extensionBaseUrl + "img/i_min.png";
|
| 386 |
+
}
|
| 387 |
+
maximizeButton.title = "Minimize";
|
| 388 |
+
|
| 389 |
+
resizeCanvasToWindow(container, canvas);
|
| 390 |
+
} else {
|
| 391 |
+
const prev = container._akPipPrevRect;
|
| 392 |
+
if (prev) {
|
| 393 |
+
container.style.left = prev.left + "px";
|
| 394 |
+
container.style.top = prev.top + "px";
|
| 395 |
+
container.style.width = prev.width + "px";
|
| 396 |
+
container.style.height = prev.height + "px";
|
| 397 |
+
container.style.right = "";
|
| 398 |
+
container.style.bottom = "";
|
| 399 |
+
}
|
| 400 |
+
|
| 401 |
+
container._akPipMaximized = false;
|
| 402 |
+
|
| 403 |
+
const img = maximizeButton.querySelector("img");
|
| 404 |
+
if (img) {
|
| 405 |
+
img.src = extensionBaseUrl + "img/i_max.png";
|
| 406 |
+
}
|
| 407 |
+
maximizeButton.title = "Maximize";
|
| 408 |
+
|
| 409 |
+
resizeCanvasToWindow(container, canvas);
|
| 410 |
+
}
|
| 411 |
+
});
|
| 412 |
+
|
| 413 |
+
const resetZoomButton = createTitleIconButton("img/i_reset_off.png", "Reset zoom", () => {
|
| 414 |
+
pipState.zoom = 1;
|
| 415 |
+
pipState.offsetX = 0;
|
| 416 |
+
pipState.offsetY = 0;
|
| 417 |
+
resizeCanvasToWindow(container, canvas);
|
| 418 |
+
});
|
| 419 |
+
|
| 420 |
+
const resetZoomImg = resetZoomButton.querySelector("img");
|
| 421 |
+
if (resetZoomImg) {
|
| 422 |
+
container._akPipResetImg = resetZoomImg;
|
| 423 |
+
}
|
| 424 |
+
|
| 425 |
+
if (typeof leftButtons !== "undefined") {
|
| 426 |
+
leftButtons.appendChild(maximizeButton);
|
| 427 |
+
leftButtons.appendChild(resetZoomButton);
|
| 428 |
+
leftButtons.style.gap = "6px";
|
| 429 |
+
leftButtons.style.minWidth = AKBASE_PIP_BUTTON_SIZE * 2 + "px";
|
| 430 |
+
}
|
| 431 |
+
|
| 432 |
+
const closeButton = createTitleIconButton("img/i_close.png", "Close", () => {
|
| 433 |
+
destroyPipWindow(container);
|
| 434 |
+
});
|
| 435 |
+
|
| 436 |
+
if (typeof rightButtons !== "undefined") {
|
| 437 |
+
rightButtons.appendChild(closeButton);
|
| 438 |
+
rightButtons.style.minWidth = AKBASE_PIP_BUTTON_SIZE + "px";
|
| 439 |
+
}
|
| 440 |
+
|
| 441 |
+
|
| 442 |
+
// Resize handles in corners
|
| 443 |
+
const handles = createResizeHandles(container);
|
| 444 |
+
handles.forEach((h) => container.appendChild(h));
|
| 445 |
+
|
| 446 |
+
document.body.appendChild(container);
|
| 447 |
+
|
| 448 |
+
installDragBehavior(container, titleBar);
|
| 449 |
+
installResizeBehavior(container, canvas);
|
| 450 |
+
|
| 451 |
+
startPipRenderLoop(container, canvas);
|
| 452 |
+
|
| 453 |
+
return { container, titleBar, canvas };
|
| 454 |
+
}
|
| 455 |
+
|
| 456 |
+
function createResizeHandles(container) {
|
| 457 |
+
const size = 10;
|
| 458 |
+
const corners = ["nw", "ne", "sw", "se"];
|
| 459 |
+
const handles = [];
|
| 460 |
+
|
| 461 |
+
for (const corner of corners) {
|
| 462 |
+
const h = document.createElement("div");
|
| 463 |
+
h.dataset.corner = corner;
|
| 464 |
+
h.style.position = "absolute";
|
| 465 |
+
h.style.width = `${size}px`;
|
| 466 |
+
h.style.height = `${size}px`;
|
| 467 |
+
h.style.zIndex = "10000";
|
| 468 |
+
h.style.background = "transparent";
|
| 469 |
+
|
| 470 |
+
if (corner === "nw") {
|
| 471 |
+
h.style.left = "0";
|
| 472 |
+
h.style.top = "0";
|
| 473 |
+
h.style.cursor = "nwse-resize";
|
| 474 |
+
} else if (corner === "ne") {
|
| 475 |
+
h.style.right = "0";
|
| 476 |
+
h.style.top = "0";
|
| 477 |
+
h.style.cursor = "nesw-resize";
|
| 478 |
+
} else if (corner === "sw") {
|
| 479 |
+
h.style.left = "0";
|
| 480 |
+
h.style.bottom = "0";
|
| 481 |
+
h.style.cursor = "nesw-resize";
|
| 482 |
+
} else if (corner === "se") {
|
| 483 |
+
h.style.right = "0";
|
| 484 |
+
h.style.bottom = "0";
|
| 485 |
+
h.style.cursor = "nwse-resize";
|
| 486 |
+
}
|
| 487 |
+
|
| 488 |
+
handles.push(h);
|
| 489 |
+
}
|
| 490 |
+
|
| 491 |
+
return handles;
|
| 492 |
+
}
|
| 493 |
+
|
| 494 |
+
function installDragBehavior(container, titleBar) {
|
| 495 |
+
let isDragging = false;
|
| 496 |
+
let dragOffsetX = 0;
|
| 497 |
+
let dragOffsetY = 0;
|
| 498 |
+
|
| 499 |
+
function onMouseDown(e) {
|
| 500 |
+
if (e.button !== 0) return;
|
| 501 |
+
|
| 502 |
+
isDragging = true;
|
| 503 |
+
const rect = container.getBoundingClientRect();
|
| 504 |
+
dragOffsetX = e.clientX - rect.left;
|
| 505 |
+
dragOffsetY = e.clientY - rect.top;
|
| 506 |
+
|
| 507 |
+
window.addEventListener("mousemove", onMouseMove);
|
| 508 |
+
window.addEventListener("mouseup", onMouseUp);
|
| 509 |
+
}
|
| 510 |
+
|
| 511 |
+
function onMouseMove(e) {
|
| 512 |
+
if (!isDragging) return;
|
| 513 |
+
|
| 514 |
+
const viewportWidth = window.innerWidth || 800;
|
| 515 |
+
const viewportHeight = window.innerHeight || 600;
|
| 516 |
+
|
| 517 |
+
let left = e.clientX - dragOffsetX;
|
| 518 |
+
let top = e.clientY - dragOffsetY;
|
| 519 |
+
|
| 520 |
+
const rect = container.getBoundingClientRect();
|
| 521 |
+
const width = rect.width;
|
| 522 |
+
const height = rect.height;
|
| 523 |
+
|
| 524 |
+
const minLeft = 0;
|
| 525 |
+
const minTop = 0;
|
| 526 |
+
const maxLeft = viewportWidth - width;
|
| 527 |
+
const maxTop = viewportHeight - height;
|
| 528 |
+
|
| 529 |
+
left = Math.min(Math.max(minLeft, left), Math.max(minLeft, maxLeft));
|
| 530 |
+
top = Math.min(Math.max(minTop, top), Math.max(minTop, maxTop));
|
| 531 |
+
|
| 532 |
+
container.style.left = `${left}px`;
|
| 533 |
+
container.style.top = `${top}px`;
|
| 534 |
+
container.style.right = "";
|
| 535 |
+
container.style.bottom = "";
|
| 536 |
+
}
|
| 537 |
+
|
| 538 |
+
function onMouseUp() {
|
| 539 |
+
if (!isDragging) return;
|
| 540 |
+
isDragging = false;
|
| 541 |
+
window.removeEventListener("mousemove", onMouseMove);
|
| 542 |
+
window.removeEventListener("mouseup", onMouseUp);
|
| 543 |
+
}
|
| 544 |
+
|
| 545 |
+
titleBar.addEventListener("mousedown", onMouseDown);
|
| 546 |
+
|
| 547 |
+
container._akPipDragCleanup = function () {
|
| 548 |
+
titleBar.removeEventListener("mousedown", onMouseDown);
|
| 549 |
+
window.removeEventListener("mousemove", onMouseMove);
|
| 550 |
+
window.removeEventListener("mouseup", onMouseUp);
|
| 551 |
+
};
|
| 552 |
+
}
|
| 553 |
+
|
| 554 |
+
function installResizeBehavior(container, canvas) {
|
| 555 |
+
let isResizing = false;
|
| 556 |
+
let activeCorner = null;
|
| 557 |
+
let startX = 0;
|
| 558 |
+
let startY = 0;
|
| 559 |
+
let startWidth = 0;
|
| 560 |
+
let startHeight = 0;
|
| 561 |
+
let startLeft = 0;
|
| 562 |
+
let startTop = 0;
|
| 563 |
+
|
| 564 |
+
const minWidth = 160;
|
| 565 |
+
const minHeight = 120;
|
| 566 |
+
|
| 567 |
+
const cornerHandles = container.querySelectorAll("div[data-corner]");
|
| 568 |
+
|
| 569 |
+
function onHandleMouseDown(e) {
|
| 570 |
+
if (e.button !== 0) return;
|
| 571 |
+
|
| 572 |
+
const target = e.currentTarget;
|
| 573 |
+
const corner = target?.dataset?.corner;
|
| 574 |
+
if (!corner) return;
|
| 575 |
+
|
| 576 |
+
const rect = container.getBoundingClientRect();
|
| 577 |
+
|
| 578 |
+
isResizing = true;
|
| 579 |
+
activeCorner = corner;
|
| 580 |
+
startX = e.clientX;
|
| 581 |
+
startY = e.clientY;
|
| 582 |
+
startWidth = rect.width;
|
| 583 |
+
startHeight = rect.height;
|
| 584 |
+
startLeft = rect.left;
|
| 585 |
+
startTop = rect.top;
|
| 586 |
+
|
| 587 |
+
window.addEventListener("mousemove", onMouseMove);
|
| 588 |
+
window.addEventListener("mouseup", onMouseUp);
|
| 589 |
+
|
| 590 |
+
e.stopPropagation();
|
| 591 |
+
e.preventDefault();
|
| 592 |
+
}
|
| 593 |
+
|
| 594 |
+
function onMouseMove(e) {
|
| 595 |
+
if (!isResizing || !activeCorner) return;
|
| 596 |
+
|
| 597 |
+
const dx = e.clientX - startX;
|
| 598 |
+
const dy = e.clientY - startY;
|
| 599 |
+
|
| 600 |
+
let newWidth = startWidth;
|
| 601 |
+
let newHeight = startHeight;
|
| 602 |
+
let newLeft = startLeft;
|
| 603 |
+
let newTop = startTop;
|
| 604 |
+
|
| 605 |
+
if (activeCorner === "se") {
|
| 606 |
+
newWidth = startWidth + dx;
|
| 607 |
+
newHeight = startHeight + dy;
|
| 608 |
+
} else if (activeCorner === "sw") {
|
| 609 |
+
newWidth = startWidth - dx;
|
| 610 |
+
newHeight = startHeight + dy;
|
| 611 |
+
newLeft = startLeft + dx;
|
| 612 |
+
} else if (activeCorner === "ne") {
|
| 613 |
+
newWidth = startWidth + dx;
|
| 614 |
+
newHeight = startHeight - dy;
|
| 615 |
+
newTop = startTop + dy;
|
| 616 |
+
} else if (activeCorner === "nw") {
|
| 617 |
+
newWidth = startWidth - dx;
|
| 618 |
+
newHeight = startHeight - dy;
|
| 619 |
+
newLeft = startLeft + dx;
|
| 620 |
+
newTop = startTop + dy;
|
| 621 |
+
}
|
| 622 |
+
|
| 623 |
+
newWidth = Math.max(minWidth, newWidth);
|
| 624 |
+
newHeight = Math.max(minHeight, newHeight);
|
| 625 |
+
|
| 626 |
+
container.style.width = `${newWidth}px`;
|
| 627 |
+
container.style.height = `${newHeight}px`;
|
| 628 |
+
container.style.left = `${newLeft}px`;
|
| 629 |
+
container.style.top = `${newTop}px`;
|
| 630 |
+
container.style.right = "";
|
| 631 |
+
container.style.bottom = "";
|
| 632 |
+
|
| 633 |
+
resizeCanvasToWindow(container, canvas);
|
| 634 |
+
}
|
| 635 |
+
|
| 636 |
+
function onMouseUp() {
|
| 637 |
+
if (!isResizing || !activeCorner) return;
|
| 638 |
+
isResizing = false;
|
| 639 |
+
activeCorner = null;
|
| 640 |
+
window.removeEventListener("mousemove", onMouseMove);
|
| 641 |
+
window.removeEventListener("mouseup", onMouseUp);
|
| 642 |
+
}
|
| 643 |
+
|
| 644 |
+
cornerHandles.forEach((handle) => {
|
| 645 |
+
handle.addEventListener("mousedown", onHandleMouseDown);
|
| 646 |
+
});
|
| 647 |
+
|
| 648 |
+
container._akPipResizeCleanup = function () {
|
| 649 |
+
cornerHandles.forEach((handle) => {
|
| 650 |
+
handle.removeEventListener("mousedown", onHandleMouseDown);
|
| 651 |
+
});
|
| 652 |
+
window.removeEventListener("mousemove", onMouseMove);
|
| 653 |
+
window.removeEventListener("mouseup", onMouseUp);
|
| 654 |
+
};
|
| 655 |
+
}
|
| 656 |
+
|
| 657 |
+
|
| 658 |
+
function startPipRenderLoop(container, canvas) {
|
| 659 |
+
const ctx = canvas.getContext("2d");
|
| 660 |
+
if (!ctx) return;
|
| 661 |
+
|
| 662 |
+
const pipState = container._akPipState || (container._akPipState = {
|
| 663 |
+
inPreview: false,
|
| 664 |
+
cursorX: 0.5,
|
| 665 |
+
zoom: 1,
|
| 666 |
+
offsetX: 0,
|
| 667 |
+
offsetY: 0,
|
| 668 |
+
});
|
| 669 |
+
|
| 670 |
+
function getNodeStateForPip() {
|
| 671 |
+
const nidRaw = container._akBaseNodeId || container.dataset.akbaseNodeId;
|
| 672 |
+
const nid = (nidRaw !== undefined && nidRaw !== null && nidRaw !== "") ? Number(nidRaw) : null;
|
| 673 |
+
|
| 674 |
+
const graph = app?.graph;
|
| 675 |
+
const nodes = graph?._nodes;
|
| 676 |
+
if (!nodes || !nodes.length) return null;
|
| 677 |
+
|
| 678 |
+
let target = null;
|
| 679 |
+
if (nid !== null && Number.isFinite(nid)) {
|
| 680 |
+
if (typeof graph.getNodeById === "function") {
|
| 681 |
+
target = graph.getNodeById(nid) || null;
|
| 682 |
+
} else {
|
| 683 |
+
for (let i = 0; i < nodes.length; i++) {
|
| 684 |
+
const n = nodes[i];
|
| 685 |
+
if (n && n.id === nid) {
|
| 686 |
+
target = n;
|
| 687 |
+
break;
|
| 688 |
+
}
|
| 689 |
+
}
|
| 690 |
+
}
|
| 691 |
+
}
|
| 692 |
+
|
| 693 |
+
if (!target) {
|
| 694 |
+
for (let i = 0; i < nodes.length; i++) {
|
| 695 |
+
const n = nodes[i];
|
| 696 |
+
if (n && n._akBase) {
|
| 697 |
+
target = n;
|
| 698 |
+
break;
|
| 699 |
+
}
|
| 700 |
+
}
|
| 701 |
+
}
|
| 702 |
+
|
| 703 |
+
if (!target || !target._akBase) return null;
|
| 704 |
+
|
| 705 |
+
const src = target._akBase;
|
| 706 |
+
const state = {
|
| 707 |
+
mode: src.mode,
|
| 708 |
+
a: {
|
| 709 |
+
img: src.a?.img || null,
|
| 710 |
+
url: src.a?.url || null,
|
| 711 |
+
loaded: !!src.a?.loaded,
|
| 712 |
+
},
|
| 713 |
+
b: {
|
| 714 |
+
img: src.b?.img || null,
|
| 715 |
+
url: src.b?.url || null,
|
| 716 |
+
loaded: !!src.b?.loaded,
|
| 717 |
+
},
|
| 718 |
+
inPreview: !!pipState.inPreview,
|
| 719 |
+
cursorX: typeof pipState.cursorX === "number" ? pipState.cursorX : 0.5,
|
| 720 |
+
};
|
| 721 |
+
|
| 722 |
+
return state;
|
| 723 |
+
}
|
| 724 |
+
|
| 725 |
+
function frame() {
|
| 726 |
+
if (!document.body.contains(container)) return;
|
| 727 |
+
|
| 728 |
+
const dpr = window.devicePixelRatio || 1;
|
| 729 |
+
const rect = canvas.getBoundingClientRect();
|
| 730 |
+
const logicalWidth = rect.width || (canvas.width / dpr);
|
| 731 |
+
const logicalHeight = rect.height || (canvas.height / dpr);
|
| 732 |
+
|
| 733 |
+
ctx.setTransform(1, 0, 0, 1, 0, 0);
|
| 734 |
+
ctx.clearRect(0, 0, canvas.width, canvas.height);
|
| 735 |
+
|
| 736 |
+
const state = getNodeStateForPip();
|
| 737 |
+
|
| 738 |
+
// Track source image dimensions for canvas sizing.
|
| 739 |
+
if (state) {
|
| 740 |
+
let img = null;
|
| 741 |
+
if (state.a && state.a.img) {
|
| 742 |
+
img = state.a.img;
|
| 743 |
+
} else if (state.b && state.b.img) {
|
| 744 |
+
img = state.b.img;
|
| 745 |
+
}
|
| 746 |
+
if (img && typeof img.naturalWidth === "number" && img.naturalWidth > 0 && typeof img.naturalHeight === "number" && img.naturalHeight > 0) {
|
| 747 |
+
const prevW = container._akPipImgWidth || 0;
|
| 748 |
+
const prevH = container._akPipImgHeight || 0;
|
| 749 |
+
|
| 750 |
+
container._akPipImgWidth = img.naturalWidth;
|
| 751 |
+
container._akPipImgHeight = img.naturalHeight;
|
| 752 |
+
|
| 753 |
+
// When image dimensions appear for the first time (or change) in normal mode,
|
| 754 |
+
// recalculate canvas size so it fits/centers correctly without requiring a manual resize.
|
| 755 |
+
const pip = container._akPipState;
|
| 756 |
+
const zoomNow = pip && typeof pip.zoom === "number" ? pip.zoom : 1;
|
| 757 |
+
const isZoom = zoomNow !== 1;
|
| 758 |
+
|
| 759 |
+
if (!isZoom && typeof resizeCanvasToWindow === "function") {
|
| 760 |
+
if (prevW !== container._akPipImgWidth || prevH !== container._akPipImgHeight) {
|
| 761 |
+
resizeCanvasToWindow(container, canvas, false);
|
| 762 |
+
}
|
| 763 |
+
}
|
| 764 |
+
}
|
| 765 |
+
}
|
| 766 |
+
|
| 767 |
+
const scaleX = canvas.width / logicalWidth;
|
| 768 |
+
const scaleY = canvas.height / logicalHeight;
|
| 769 |
+
|
| 770 |
+
ctx.save();
|
| 771 |
+
ctx.scale(scaleX, scaleY);
|
| 772 |
+
|
| 773 |
+
const zoom = pipState.zoom || 1;
|
| 774 |
+
const offsetX = pipState.offsetX || 0;
|
| 775 |
+
const offsetY = pipState.offsetY || 0;
|
| 776 |
+
|
| 777 |
+
// Move the whole canvas inside the dialog using CSS transform.
|
| 778 |
+
canvas.style.transform = `translate(${offsetX}px, ${offsetY}px)`;
|
| 779 |
+
|
| 780 |
+
const isZoomMode =
|
| 781 |
+
zoom !== 1 ||
|
| 782 |
+
(offsetX || 0) !== 0 ||
|
| 783 |
+
(offsetY || 0) !== 0;
|
| 784 |
+
|
| 785 |
+
const resetImg = container._akPipResetImg || null;
|
| 786 |
+
if (resetImg) {
|
| 787 |
+
const expectedSrc = extensionBaseUrl + (isZoomMode ? "img/i_reset.png" : "img/i_reset_off.png");
|
| 788 |
+
if (resetImg.src !== expectedSrc) {
|
| 789 |
+
resetImg.src = expectedSrc;
|
| 790 |
+
}
|
| 791 |
+
}
|
| 792 |
+
|
| 793 |
+
if (state && state.mode === "compare" && typeof renderCompare === "function") {
|
| 794 |
+
const view = {
|
| 795 |
+
zoom: 1,
|
| 796 |
+
offsetX: 0,
|
| 797 |
+
offsetY: 0,
|
| 798 |
+
};
|
| 799 |
+
const r = { x: 0, y: 0, w: logicalWidth, h: logicalHeight };
|
| 800 |
+
try {
|
| 801 |
+
renderCompare(ctx, r, state, view);
|
| 802 |
+
} catch (e) {
|
| 803 |
+
console.log("[AKBasePiP] renderCompare error", e);
|
| 804 |
+
}
|
| 805 |
+
} else {
|
| 806 |
+
ctx.fillStyle = "#111";
|
| 807 |
+
ctx.fillRect(0, 0, logicalWidth, logicalHeight);
|
| 808 |
+
ctx.fillStyle = "#eee";
|
| 809 |
+
ctx.font = "12px sans-serif";
|
| 810 |
+
ctx.textAlign = "center";
|
| 811 |
+
ctx.textBaseline = "middle";
|
| 812 |
+
|
| 813 |
+
let msg = "PiP: compare mode only";
|
| 814 |
+
if (state && state.mode === "gallery") {
|
| 815 |
+
msg = "Gallery mode is not supported";
|
| 816 |
+
} else if (!state) {
|
| 817 |
+
msg = "No AKBase node state";
|
| 818 |
+
}
|
| 819 |
+
|
| 820 |
+
ctx.fillText(msg, logicalWidth / 2, logicalHeight / 2);
|
| 821 |
+
}
|
| 822 |
+
|
| 823 |
+
ctx.restore();
|
| 824 |
+
|
| 825 |
+
window.requestAnimationFrame(frame);
|
| 826 |
+
}
|
| 827 |
+
|
| 828 |
+
window.requestAnimationFrame(frame);
|
| 829 |
+
}
|
| 830 |
+
|
| 831 |
+
function resizeCanvasToWindow(container, canvas, allowZoomResize = false) {
|
| 832 |
+
const dpr = window.devicePixelRatio || 1;
|
| 833 |
+
const rect = container.getBoundingClientRect();
|
| 834 |
+
const containerWidth = rect.width;
|
| 835 |
+
const containerHeight = rect.height;
|
| 836 |
+
|
| 837 |
+
const pipState = container._akPipState || {};
|
| 838 |
+
const zoom = pipState.zoom || 1;
|
| 839 |
+
const isZoomMode = zoom !== 1;
|
| 840 |
+
|
| 841 |
+
// In zoom mode, ignore window size changes triggered by container resize when not explicitly allowed.
|
| 842 |
+
if (isZoomMode && !allowZoomResize) {
|
| 843 |
+
const currentRect = canvas.getBoundingClientRect();
|
| 844 |
+
const currentW = currentRect.width || (canvas.width / dpr);
|
| 845 |
+
const currentH = currentRect.height || (canvas.height / dpr);
|
| 846 |
+
|
| 847 |
+
container._akPipLastWidth = currentW;
|
| 848 |
+
container._akPipLastHeight = currentH;
|
| 849 |
+
|
| 850 |
+
canvas.style.width = `${currentW}px`;
|
| 851 |
+
canvas.style.height = `${currentH}px`;
|
| 852 |
+
|
| 853 |
+
canvas.width = Math.max(1, Math.floor(currentW * dpr));
|
| 854 |
+
canvas.height = Math.max(1, Math.floor(currentH * dpr));
|
| 855 |
+
return;
|
| 856 |
+
}
|
| 857 |
+
|
| 858 |
+
// Base image size (fallback to container size if unknown).
|
| 859 |
+
const imgW =
|
| 860 |
+
container._akPipImgWidth && container._akPipImgWidth > 0
|
| 861 |
+
? container._akPipImgWidth
|
| 862 |
+
: containerWidth;
|
| 863 |
+
const imgH =
|
| 864 |
+
container._akPipImgHeight && container._akPipImgHeight > 0
|
| 865 |
+
? container._akPipImgHeight
|
| 866 |
+
: (containerHeight - TITLE_HEIGHT);
|
| 867 |
+
|
| 868 |
+
const availW = Math.max(1, Math.floor(containerWidth));
|
| 869 |
+
const availH = Math.max(1, Math.floor(containerHeight - TITLE_HEIGHT));
|
| 870 |
+
|
| 871 |
+
// Base scale: how the image fits into the window at zoom = 1.
|
| 872 |
+
let baseScale =
|
| 873 |
+
typeof container._akPipBaseScale === "number" && container._akPipBaseScale > 0
|
| 874 |
+
? container._akPipBaseScale
|
| 875 |
+
: null;
|
| 876 |
+
|
| 877 |
+
// Recalculate base scale when not in zoom mode or if it was never set.
|
| 878 |
+
if (!isZoomMode || baseScale === null) {
|
| 879 |
+
baseScale = Math.min(availW / imgW, availH / imgH);
|
| 880 |
+
container._akPipBaseScale = baseScale;
|
| 881 |
+
}
|
| 882 |
+
|
| 883 |
+
// Visual scale controls how large the image appears inside the dialog.
|
| 884 |
+
const displayScale = baseScale * zoom;
|
| 885 |
+
const displayWidth = Math.max(1, Math.floor(imgW * displayScale));
|
| 886 |
+
const displayHeight = Math.max(1, Math.floor(imgH * displayScale));
|
| 887 |
+
|
| 888 |
+
// Backing scale controls how many pixels we actually render.
|
| 889 |
+
let backingScale = displayScale;
|
| 890 |
+
|
| 891 |
+
const maxBackingWidth = AKBASE_PIP_MAX_BACKING_WIDTH;
|
| 892 |
+
const maxBackingHeight = AKBASE_PIP_MAX_BACKING_HEIGHT;
|
| 893 |
+
|
| 894 |
+
const backingWidthCandidate = imgW * backingScale;
|
| 895 |
+
const backingHeightCandidate = imgH * backingScale;
|
| 896 |
+
|
| 897 |
+
if (backingWidthCandidate > maxBackingWidth || backingHeightCandidate > maxBackingHeight) {
|
| 898 |
+
const widthRatio = maxBackingWidth / backingWidthCandidate;
|
| 899 |
+
const heightRatio = maxBackingHeight / backingHeightCandidate;
|
| 900 |
+
const ratio = Math.min(widthRatio, heightRatio);
|
| 901 |
+
backingScale = backingScale * ratio;
|
| 902 |
+
}
|
| 903 |
+
|
| 904 |
+
const backingWidth = Math.max(1, Math.floor(imgW * backingScale));
|
| 905 |
+
const backingHeight = Math.max(1, Math.floor(imgH * backingScale));
|
| 906 |
+
|
| 907 |
+
container._akPipLastWidth = displayWidth;
|
| 908 |
+
container._akPipLastHeight = displayHeight;
|
| 909 |
+
|
| 910 |
+
canvas.style.width = `${displayWidth}px`;
|
| 911 |
+
canvas.style.height = `${displayHeight}px`;
|
| 912 |
+
|
| 913 |
+
canvas.width = Math.max(1, Math.floor(backingWidth * dpr));
|
| 914 |
+
canvas.height = Math.max(1, Math.floor(backingHeight * dpr));
|
| 915 |
+
}
|
| 916 |
+
|
| 917 |
+
|
| 918 |
+
app.registerExtension({
|
| 919 |
+
name: "AKBasePiP",
|
| 920 |
+
setup() {
|
| 921 |
+
window.AKBasePip = window.AKBasePip || {};
|
| 922 |
+
window.AKBasePip.openForNode = function (nodeId) {
|
| 923 |
+
createPipWindow(nodeId);
|
| 924 |
+
};
|
| 925 |
+
},
|
| 926 |
+
});
|
kim_comfyui_data/custom_nodes/ComfyUI-AK-Pack/js/AKBase_ui.js
ADDED
|
@@ -0,0 +1,392 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
export const UI_SETTINGS = {
|
| 2 |
+
backButtonYShift: 0,
|
| 3 |
+
buttonToolbarWidthPercent: 50,
|
| 4 |
+
previewPadding: 10,
|
| 5 |
+
previewYShift: 80,
|
| 6 |
+
previewMinWidth: 240,
|
| 7 |
+
previewMinHeight: 180,
|
| 8 |
+
|
| 9 |
+
imageFitMode: "contain",
|
| 10 |
+
previewBgAlpha: 0.08,
|
| 11 |
+
overlayAlpha: 1.0,
|
| 12 |
+
|
| 13 |
+
wipeMode: true,
|
| 14 |
+
lineAlpha: 0.7,
|
| 15 |
+
lineWidth: 1,
|
| 16 |
+
|
| 17 |
+
galleryBorderWidth: 2,
|
| 18 |
+
galleryBorderAlpha: 0.85,
|
| 19 |
+
galleryBorderColor: "rgba(255,120,0,1.0)",
|
| 20 |
+
|
| 21 |
+
galleryGap: 4,
|
| 22 |
+
};
|
| 23 |
+
|
| 24 |
+
const EXT_BASE_URL = "/extensions/ComfyUI-AK-Pack/";
|
| 25 |
+
|
| 26 |
+
const BUTTON_ROW_HEIGHT = 28;
|
| 27 |
+
const BUTTON_ROW_GAP = 4;
|
| 28 |
+
const BUTTON_ICON_SIZE = 20;
|
| 29 |
+
|
| 30 |
+
function createIcon(src) {
|
| 31 |
+
const img = new Image();
|
| 32 |
+
img.src = EXT_BASE_URL + src;
|
| 33 |
+
return img;
|
| 34 |
+
}
|
| 35 |
+
|
| 36 |
+
const AKBASE_ICONS = {
|
| 37 |
+
back: createIcon("img/i_gallery.png"),
|
| 38 |
+
copy: createIcon("img/i_copy.png"),
|
| 39 |
+
pip: createIcon("img/i_pip_in.png"),
|
| 40 |
+
};
|
| 41 |
+
|
| 42 |
+
function drawIconButton(ctx, rect, img, enabled) {
|
| 43 |
+
const alpha = enabled ? 1.0 : 0.45;
|
| 44 |
+
|
| 45 |
+
ctx.save();
|
| 46 |
+
ctx.globalAlpha = alpha;
|
| 47 |
+
ctx.fillStyle = "#2a2a2a";
|
| 48 |
+
ctx.strokeStyle = "#555";
|
| 49 |
+
ctx.lineWidth = 1;
|
| 50 |
+
|
| 51 |
+
const rr = 6;
|
| 52 |
+
const x0 = rect.x, y0 = rect.y, x1 = rect.x + rect.w, y1 = rect.y + rect.h;
|
| 53 |
+
ctx.beginPath();
|
| 54 |
+
ctx.moveTo(x0 + rr, y0);
|
| 55 |
+
ctx.lineTo(x1 - rr, y0);
|
| 56 |
+
ctx.quadraticCurveTo(x1, y0, x1, y0 + rr);
|
| 57 |
+
ctx.lineTo(x1, y1 - rr);
|
| 58 |
+
ctx.quadraticCurveTo(x1, y1, x1 - rr, y1);
|
| 59 |
+
ctx.lineTo(x0 + rr, y1);
|
| 60 |
+
ctx.quadraticCurveTo(x0, y1, x0, y1 - rr);
|
| 61 |
+
ctx.lineTo(x0, y0 + rr);
|
| 62 |
+
ctx.quadraticCurveTo(x0, y0, x0 + rr, y0);
|
| 63 |
+
ctx.closePath();
|
| 64 |
+
ctx.fill();
|
| 65 |
+
ctx.stroke();
|
| 66 |
+
|
| 67 |
+
if (img && img.complete && img.naturalWidth && img.naturalHeight) {
|
| 68 |
+
const size = Math.min(BUTTON_ICON_SIZE, rect.w - 6, rect.h - 6);
|
| 69 |
+
const ix = rect.x + (rect.w - size) * 0.5;
|
| 70 |
+
const iy = rect.y + (rect.h - size) * 0.5;
|
| 71 |
+
ctx.drawImage(img, ix, iy, size, size);
|
| 72 |
+
}
|
| 73 |
+
|
| 74 |
+
ctx.restore();
|
| 75 |
+
}
|
| 76 |
+
|
| 77 |
+
|
| 78 |
+
export function applyNodeLayout(node) {
|
| 79 |
+
const minW = UI_SETTINGS.previewPadding * 2 + UI_SETTINGS.previewMinWidth;
|
| 80 |
+
|
| 81 |
+
const widgetCount = Array.isArray(node?.widgets) ? node.widgets.length : 0;
|
| 82 |
+
const widgetH = widgetCount ? (widgetCount * 28 + 8) : 0;
|
| 83 |
+
|
| 84 |
+
const minH = Math.max(260, UI_SETTINGS.previewPadding * 2 + UI_SETTINGS.previewMinHeight + widgetH);
|
| 85 |
+
node.size[0] = Math.max(node.size[0], minW);
|
| 86 |
+
node.size[1] = Math.max(node.size[1], minH);
|
| 87 |
+
}
|
| 88 |
+
|
| 89 |
+
export function previewRect(node) {
|
| 90 |
+
const pad = UI_SETTINGS.previewPadding;
|
| 91 |
+
const x = pad;
|
| 92 |
+
const y = pad + UI_SETTINGS.previewYShift;
|
| 93 |
+
|
| 94 |
+
const widgetCount = Array.isArray(node?.widgets) ? node.widgets.length : 0;
|
| 95 |
+
const widgetH = widgetCount ? (widgetCount * 28 + 8) : 0;
|
| 96 |
+
|
| 97 |
+
const w = Math.max(10, node.size[0] - x - pad);
|
| 98 |
+
const h = Math.max(10, node.size[1] - y - pad - widgetH);
|
| 99 |
+
return { x, y, w, h };
|
| 100 |
+
}
|
| 101 |
+
|
| 102 |
+
export function backButtonRect(node) {
|
| 103 |
+
const pad = UI_SETTINGS.previewPadding;
|
| 104 |
+
const availW = Math.max(10, node.size[0] - pad * 2);
|
| 105 |
+
|
| 106 |
+
const pct = Math.max(
|
| 107 |
+
1,
|
| 108 |
+
Math.min(100, Number(UI_SETTINGS.buttonToolbarWidthPercent) || 100)
|
| 109 |
+
);
|
| 110 |
+
const toolbarW = availW * (pct / 100);
|
| 111 |
+
|
| 112 |
+
const wSingle = Math.max(10, (toolbarW - 2 * BUTTON_ROW_GAP) / 3);
|
| 113 |
+
const h = BUTTON_ROW_HEIGHT;
|
| 114 |
+
|
| 115 |
+
const x = pad + (availW - toolbarW) * 0.5;
|
| 116 |
+
const y = pad + Number(UI_SETTINGS.backButtonYShift || 0);
|
| 117 |
+
|
| 118 |
+
return { x, y, w: wSingle, h };
|
| 119 |
+
}
|
| 120 |
+
|
| 121 |
+
export function copyButtonRect(node) {
|
| 122 |
+
const b = backButtonRect(node);
|
| 123 |
+
const x = b.x + b.w + BUTTON_ROW_GAP;
|
| 124 |
+
const y = b.y;
|
| 125 |
+
return { x, y, w: b.w, h: b.h };
|
| 126 |
+
}
|
| 127 |
+
|
| 128 |
+
export function pipButtonRect(node) {
|
| 129 |
+
const c = copyButtonRect(node);
|
| 130 |
+
const x = c.x + c.w + BUTTON_ROW_GAP;
|
| 131 |
+
const y = c.y;
|
| 132 |
+
return { x, y, w: c.w, h: c.h };
|
| 133 |
+
}
|
| 134 |
+
|
| 135 |
+
|
| 136 |
+
|
| 137 |
+
function fitRect(srcW, srcH, dstW, dstH, mode) {
|
| 138 |
+
if (srcW <= 0 || srcH <= 0 || dstW <= 0 || dstH <= 0) return { x: 0, y: 0, w: 0, h: 0 };
|
| 139 |
+
const s = (mode === "cover") ? Math.max(dstW / srcW, dstH / srcH) : Math.min(dstW / srcW, dstH / srcH);
|
| 140 |
+
const w = srcW * s;
|
| 141 |
+
const h = srcH * s;
|
| 142 |
+
return { x: (dstW - w) * 0.5, y: (dstH - h) * 0.5, w, h };
|
| 143 |
+
}
|
| 144 |
+
|
| 145 |
+
function computeBestGrid(W, H, iw, ih, N, gap) {
|
| 146 |
+
let best = { cols: 1, rows: N, scale: 0, cellW: W, cellH: H, drawW: iw, drawH: ih };
|
| 147 |
+
if (N <= 0 || iw <= 0 || ih <= 0 || W <= 0 || H <= 0) return best;
|
| 148 |
+
|
| 149 |
+
gap = Math.max(0, Number(gap ?? 0));
|
| 150 |
+
|
| 151 |
+
for (let cols = 1; cols <= N; cols++) {
|
| 152 |
+
const rows = Math.ceil(N / cols);
|
| 153 |
+
|
| 154 |
+
const availW = Math.max(1, W - gap * (cols - 1));
|
| 155 |
+
const availH = Math.max(1, H - gap * (rows - 1));
|
| 156 |
+
|
| 157 |
+
const cellW = availW / cols;
|
| 158 |
+
const cellH = availH / rows;
|
| 159 |
+
|
| 160 |
+
const scale = Math.min(cellW / iw, cellH / ih);
|
| 161 |
+
if (scale > best.scale) {
|
| 162 |
+
best = {
|
| 163 |
+
cols,
|
| 164 |
+
rows,
|
| 165 |
+
scale,
|
| 166 |
+
cellW,
|
| 167 |
+
cellH,
|
| 168 |
+
drawW: iw * scale,
|
| 169 |
+
drawH: ih * scale,
|
| 170 |
+
};
|
| 171 |
+
}
|
| 172 |
+
}
|
| 173 |
+
return best;
|
| 174 |
+
}
|
| 175 |
+
|
| 176 |
+
|
| 177 |
+
|
| 178 |
+
export function renderCompare(ctx, r, state, view) {
|
| 179 |
+
ctx.save();
|
| 180 |
+
ctx.beginPath();
|
| 181 |
+
ctx.rect(r.x, r.y, r.w, r.h);
|
| 182 |
+
ctx.clip();
|
| 183 |
+
|
| 184 |
+
ctx.fillStyle = `rgba(0,0,0,${UI_SETTINGS.previewBgAlpha})`;
|
| 185 |
+
ctx.fillRect(r.x, r.y, r.w, r.h);
|
| 186 |
+
|
| 187 |
+
const zoom = view && typeof view.zoom === "number" ? view.zoom : 1;
|
| 188 |
+
const offsetX = view && typeof view.offsetX === "number" ? view.offsetX : 0;
|
| 189 |
+
const offsetY = view && typeof view.offsetY === "number" ? view.offsetY : 0;
|
| 190 |
+
const hasViewTransform = zoom !== 1 || offsetX !== 0 || offsetY !== 0;
|
| 191 |
+
|
| 192 |
+
const drawImg = (img, alpha) => {
|
| 193 |
+
if (!img) return;
|
| 194 |
+
const fit = fitRect(img.naturalWidth, img.naturalHeight, r.w, r.h, UI_SETTINGS.imageFitMode);
|
| 195 |
+
let dx = r.x + fit.x;
|
| 196 |
+
let dy = r.y + fit.y;
|
| 197 |
+
let dw = fit.w;
|
| 198 |
+
let dh = fit.h;
|
| 199 |
+
|
| 200 |
+
if (hasViewTransform) {
|
| 201 |
+
dx = dx * zoom + offsetX;
|
| 202 |
+
dy = dy * zoom + offsetY;
|
| 203 |
+
dw = dw * zoom;
|
| 204 |
+
dh = dh * zoom;
|
| 205 |
+
}
|
| 206 |
+
|
| 207 |
+
ctx.globalAlpha = alpha;
|
| 208 |
+
ctx.drawImage(img, dx, dy, dw, dh);
|
| 209 |
+
};
|
| 210 |
+
|
| 211 |
+
|
| 212 |
+
const aReady = !!state?.a?.loaded;
|
| 213 |
+
const bReady = !!state?.b?.loaded;
|
| 214 |
+
|
| 215 |
+
if (!aReady && !bReady) {
|
| 216 |
+
ctx.globalAlpha = 1.0;
|
| 217 |
+
ctx.fillStyle = "rgba(255,255,255,0.4)";
|
| 218 |
+
ctx.font = "12px sans-serif";
|
| 219 |
+
ctx.fillText("No preview images loaded", r.x + 10, r.y + 24);
|
| 220 |
+
if (state?.a?.url) ctx.fillText("A: " + state.a.url, r.x + 10, r.y + 44);
|
| 221 |
+
if (state?.b?.url) ctx.fillText("B: " + state.b.url, r.x + 10, r.y + 62);
|
| 222 |
+
} else if (UI_SETTINGS.wipeMode && state?.inPreview && aReady && bReady) {
|
| 223 |
+
drawImg(state.a.img, 1.0);
|
| 224 |
+
|
| 225 |
+
const cx = r.x + r.w * (state.cursorX ?? 0.5);
|
| 226 |
+
ctx.save();
|
| 227 |
+
ctx.beginPath();
|
| 228 |
+
ctx.rect(cx, r.y, r.x + r.w - cx, r.h);
|
| 229 |
+
ctx.clip();
|
| 230 |
+
drawImg(state.b.img, 1.0);
|
| 231 |
+
ctx.restore();
|
| 232 |
+
|
| 233 |
+
ctx.save();
|
| 234 |
+
ctx.globalAlpha = UI_SETTINGS.lineAlpha;
|
| 235 |
+
ctx.strokeStyle = "rgba(255,255,255,1)";
|
| 236 |
+
ctx.lineWidth = UI_SETTINGS.lineWidth;
|
| 237 |
+
ctx.beginPath();
|
| 238 |
+
ctx.moveTo(cx + 0.5, r.y);
|
| 239 |
+
ctx.lineTo(cx + 0.5, r.y + r.h);
|
| 240 |
+
ctx.stroke();
|
| 241 |
+
ctx.restore();
|
| 242 |
+
} else {
|
| 243 |
+
if (aReady) drawImg(state.a.img, 1.0);
|
| 244 |
+
if (bReady) drawImg(state.b.img, 1.0);
|
| 245 |
+
}
|
| 246 |
+
|
| 247 |
+
ctx.restore();
|
| 248 |
+
ctx.save();
|
| 249 |
+
ctx.strokeStyle = "rgba(255,255,255,0.15)";
|
| 250 |
+
ctx.lineWidth = 1;
|
| 251 |
+
ctx.strokeRect(r.x + 0.5, r.y + 0.5, r.w - 1, r.h - 1);
|
| 252 |
+
ctx.restore();
|
| 253 |
+
}
|
| 254 |
+
|
| 255 |
+
export function installDraw(node, dbg) {
|
| 256 |
+
const state = node._akBase;
|
| 257 |
+
if (!state) return;
|
| 258 |
+
|
| 259 |
+
node.onDrawForeground = function (ctx) {
|
| 260 |
+
const r = previewRect(this);
|
| 261 |
+
|
| 262 |
+
const btn = backButtonRect(this);
|
| 263 |
+
const btnEnabled = (state.mode === "compare") && !!state.hasGallery;
|
| 264 |
+
|
| 265 |
+
const copyBtn = copyButtonRect(this);
|
| 266 |
+
const copyBtnEnabled = ((state.mode === "compare") && (state.a.loaded || state.b.loaded)) || ((state.mode === "gallery") && ((state.gallery?.images?.length ?? 0) > 0));
|
| 267 |
+
|
| 268 |
+
const pipBtn = pipButtonRect(this);
|
| 269 |
+
const pipBtnEnabled = true;
|
| 270 |
+
|
| 271 |
+
drawIconButton(ctx, btn, AKBASE_ICONS.back, btnEnabled);
|
| 272 |
+
drawIconButton(ctx, copyBtn, AKBASE_ICONS.copy, copyBtnEnabled);
|
| 273 |
+
drawIconButton(ctx, pipBtn, AKBASE_ICONS.pip, pipBtnEnabled);
|
| 274 |
+
|
| 275 |
+
// if (!state._drawLogged) {
|
| 276 |
+
// state._drawLogged = true;
|
| 277 |
+
// dbg("first draw", this.id, { mode: state.mode });
|
| 278 |
+
// }
|
| 279 |
+
|
| 280 |
+
ctx.save();
|
| 281 |
+
ctx.beginPath();
|
| 282 |
+
ctx.rect(r.x, r.y, r.w, r.h);
|
| 283 |
+
ctx.clip();
|
| 284 |
+
|
| 285 |
+
ctx.fillStyle = `rgba(0,0,0,${UI_SETTINGS.previewBgAlpha})`;
|
| 286 |
+
ctx.fillRect(r.x, r.y, r.w, r.h);
|
| 287 |
+
|
| 288 |
+
if (state.mode === "gallery") {
|
| 289 |
+
const imgs = state.gallery?.images ?? [];
|
| 290 |
+
const N = imgs.length;
|
| 291 |
+
|
| 292 |
+
if (!N) {
|
| 293 |
+
ctx.globalAlpha = 1.0;
|
| 294 |
+
ctx.fillStyle = UI_SETTINGS.galleryBorderColor;
|
| 295 |
+
ctx.font = "12px sans-serif";
|
| 296 |
+
ctx.fillText("Gallery: no images loaded", r.x + 10, r.y + 24);
|
| 297 |
+
ctx.restore();
|
| 298 |
+
return;
|
| 299 |
+
}
|
| 300 |
+
|
| 301 |
+
const iw = imgs[0].naturalWidth || 1;
|
| 302 |
+
const ih = imgs[0].naturalHeight || 1;
|
| 303 |
+
|
| 304 |
+
const gap = UI_SETTINGS.galleryGap ?? 0;
|
| 305 |
+
const grid = computeBestGrid(r.w, r.h, iw, ih, N, gap);
|
| 306 |
+
state.gallery.grid = grid;
|
| 307 |
+
|
| 308 |
+
for (let i = 0; i < N; i++) {
|
| 309 |
+
const col = i % grid.cols;
|
| 310 |
+
const row = Math.floor(i / grid.cols);
|
| 311 |
+
|
| 312 |
+
const cellX = r.x + col * (grid.cellW + gap);
|
| 313 |
+
const cellY = r.y + row * (grid.cellH + gap);
|
| 314 |
+
|
| 315 |
+
const x = cellX + (grid.cellW - grid.drawW) * 0.5;
|
| 316 |
+
const y = cellY + (grid.cellH - grid.drawH) * 0.5;
|
| 317 |
+
|
| 318 |
+
ctx.globalAlpha = 1.0;
|
| 319 |
+
ctx.drawImage(imgs[i], x, y, grid.drawW, grid.drawH);
|
| 320 |
+
|
| 321 |
+
if (state.gallery.hoverIndex === i && state.inPreview) {
|
| 322 |
+
ctx.save();
|
| 323 |
+
ctx.globalAlpha = UI_SETTINGS.galleryBorderAlpha;
|
| 324 |
+
ctx.strokeStyle = UI_SETTINGS.galleryBorderColor;
|
| 325 |
+
ctx.lineWidth = UI_SETTINGS.galleryBorderWidth;
|
| 326 |
+
ctx.strokeRect(x + 0.5, y + 0.5, grid.drawW - 1, grid.drawH - 1);
|
| 327 |
+
ctx.restore();
|
| 328 |
+
}
|
| 329 |
+
}
|
| 330 |
+
|
| 331 |
+
ctx.restore();
|
| 332 |
+
ctx.save();
|
| 333 |
+
ctx.strokeStyle = "rgba(255,255,255,0.15)";
|
| 334 |
+
ctx.lineWidth = 1;
|
| 335 |
+
ctx.strokeRect(r.x + 0.5, r.y + 0.5, r.w - 1, r.h - 1);
|
| 336 |
+
ctx.restore();
|
| 337 |
+
return;
|
| 338 |
+
}
|
| 339 |
+
|
| 340 |
+
const drawImg = (img, alpha) => {
|
| 341 |
+
if (!img) return;
|
| 342 |
+
const fit = fitRect(img.naturalWidth, img.naturalHeight, r.w, r.h, UI_SETTINGS.imageFitMode);
|
| 343 |
+
ctx.globalAlpha = alpha;
|
| 344 |
+
ctx.drawImage(img, r.x + fit.x, r.y + fit.y, fit.w, fit.h);
|
| 345 |
+
};
|
| 346 |
+
|
| 347 |
+
const aReady = !!state.a.loaded;
|
| 348 |
+
const bReady = !!state.b.loaded;
|
| 349 |
+
|
| 350 |
+
if (!aReady && !bReady) {
|
| 351 |
+
ctx.globalAlpha = 1.0;
|
| 352 |
+
ctx.fillStyle = "rgba(255,255,255,0.4)";
|
| 353 |
+
ctx.font = "12px sans-serif";
|
| 354 |
+
ctx.fillText("No preview images loaded", r.x + 10, r.y + 24);
|
| 355 |
+
if (state.a.url) ctx.fillText("A: " + state.a.url, r.x + 10, r.y + 44);
|
| 356 |
+
if (state.b.url) ctx.fillText("B: " + state.b.url, r.x + 10, r.y + 62);
|
| 357 |
+
} else if (UI_SETTINGS.wipeMode && state.inPreview && aReady && bReady) {
|
| 358 |
+
drawImg(state.a.img, 1.0);
|
| 359 |
+
|
| 360 |
+
const cx = r.x + r.w * (state.cursorX ?? 0.5);
|
| 361 |
+
ctx.save();
|
| 362 |
+
ctx.beginPath();
|
| 363 |
+
// ctx.rect(r.x, r.y, Math.max(0, cx - r.x), r.h);
|
| 364 |
+
ctx.rect(cx, r.y, r.x + r.w - cx, r.h);
|
| 365 |
+
|
| 366 |
+
ctx.clip();
|
| 367 |
+
drawImg(state.b.img, 1.0);
|
| 368 |
+
ctx.restore();
|
| 369 |
+
|
| 370 |
+
ctx.save();
|
| 371 |
+
ctx.globalAlpha = UI_SETTINGS.lineAlpha;
|
| 372 |
+
ctx.strokeStyle = "rgba(255,255,255,1)";
|
| 373 |
+
ctx.lineWidth = UI_SETTINGS.lineWidth;
|
| 374 |
+
ctx.beginPath();
|
| 375 |
+
ctx.moveTo(cx + 0.5, r.y);
|
| 376 |
+
ctx.lineTo(cx + 0.5, r.y + r.h);
|
| 377 |
+
ctx.stroke();
|
| 378 |
+
ctx.restore();
|
| 379 |
+
} else {
|
| 380 |
+
if (aReady) drawImg(state.a.img, 1.0);
|
| 381 |
+
if (bReady) drawImg(state.b.img, 1.0);
|
| 382 |
+
}
|
| 383 |
+
|
| 384 |
+
ctx.restore();
|
| 385 |
+
|
| 386 |
+
ctx.save();
|
| 387 |
+
ctx.strokeStyle = "rgba(255,255,255,0.15)";
|
| 388 |
+
ctx.lineWidth = 1;
|
| 389 |
+
ctx.strokeRect(r.x + 0.5, r.y + 0.5, r.w - 1, r.h - 1);
|
| 390 |
+
ctx.restore();
|
| 391 |
+
};
|
| 392 |
+
}
|