diff --git a/README.md b/README.md index e811b94..2367c95 100644 --- a/README.md +++ b/README.md @@ -53,14 +53,14 @@ This custom node helps to conveniently enhance images through Detector, Detailer * `IPAdapterApply (SEGS)` - To apply IPAdapter in SEGS, you need to use the Preprocessor Provider node from the Inspire Pack to utilize this node. ### Mask operation - * `Bitwise(SEGS & SEGS)` - Performs a 'bitwise and' operation between two SEGS. - * `Bitwise(SEGS - SEGS)` - Subtracts one SEGS from another. - * `Bitwise(SEGS & MASK)` - Performs a bitwise AND operation between SEGS and MASK. - * `Bitwise(SEGS & MASKS ForEach)` - Performs a bitwise AND operation between SEGS and MASKS. + * `Pixelwise(SEGS & SEGS)` - Performs a 'pixelwise and' operation between two SEGS. + * `Pixelwise(SEGS - SEGS)` - Subtracts one SEGS from another. + * `Pixelwise(SEGS & MASK)` - Performs a pixelwise AND operation between SEGS and MASK. + * `Pixelwise(SEGS & MASKS ForEach)` - Performs a pixelwise AND operation between SEGS and MASKS. * Please note that this operation is performed with batches of MASKS, not just a single MASK. - * `Bitwise(MASK & MASK)` - Performs a 'bitwise and' operation between two masks. - * `Bitwise(MASK - MASK)` - Subtracts one mask from another. - * `Bitwise(MASK + MASK)` - Combine two masks. + * `Pixelwise(MASK & MASK)` - Performs a 'pixelwise and' operation between two masks. + * `Pixelwise(MASK - MASK)` - Subtracts one mask from another. + * `Pixelwise(MASK + MASK)` - Combine two masks. * `SEGM Detector (SEGS)` - Detects segmentation and returns SEGS from the input image. * `BBOX Detector (SEGS)` - Detects bounding boxes and returns SEGS from the input image. * `Dilate Mask` - Dilate Mask. @@ -220,7 +220,7 @@ This custom node helps to conveniently enhance images through Detector, Detailer > NOTE: The `sde` sampler and `uni_pc` sampler introduce additional noise during each step of the sampling process. To mitigate this, when sampling each region, the `uni_pc` sampler applies additional `dpmpp_fast`, and the sde sampler applies the `dpmpp_2m` sampler as an additional measure. ### Impact KSampler - * These samplers supports basic_pipe and AYS scheduler + * These samplers support basic_pipe and AYS scheduler * `KSampler (pipe)` - pipe version of KSampler * `KSampler (advanced/pipe)` - pipe version of KSamplerAdvacned * When converting the scheduler widget to input, refer to the `Impact Scheduler Adapter` node to resolve compatibility issues. diff --git a/__init__.py b/__init__.py index fb8f5ce..a143063 100644 --- a/__init__.py +++ b/__init__.py @@ -320,13 +320,13 @@ NODE_DISPLAY_NAME_MAPPINGS = { "MediaPipeFaceMeshToSEGS": "MediaPipe FaceMesh to SEGS", "MaskToSEGS": "MASK to SEGS", "MaskToSEGS_for_AnimateDiff": "MASK to SEGS for AnimateDiff", - "BitwiseAndMaskForEach": "Bitwise(SEGS & SEGS)", - "SubtractMaskForEach": "Bitwise(SEGS - SEGS)", - "ImpactSegsAndMask": "Bitwise(SEGS & MASK)", - "ImpactSegsAndMaskForEach": "Bitwise(SEGS & MASKS ForEach)", - "BitwiseAndMask": "Bitwise(MASK & MASK)", - "SubtractMask": "Bitwise(MASK - MASK)", - "AddMask": "Bitwise(MASK + MASK)", + "BitwiseAndMaskForEach": "Pixelwise(SEGS & SEGS)", + "SubtractMaskForEach": "Pixelwise(SEGS - SEGS)", + "ImpactSegsAndMask": "Pixelwise(SEGS & MASK)", + "ImpactSegsAndMaskForEach": "Pixelwise(SEGS & MASKS ForEach)", + "BitwiseAndMask": "Pixelwise(MASK & MASK)", + "SubtractMask": "Pixelwise(MASK - MASK)", + "AddMask": "Pixelwise(MASK + MASK)", "DetailerForEach": "Detailer (SEGS)", "DetailerForEachPipe": "Detailer (SEGS/pipe)", "DetailerForEachDebug": "DetailerDebug (SEGS)", diff --git a/modules/impact/config.py b/modules/impact/config.py index d782a24..71aa9a7 100644 --- a/modules/impact/config.py +++ b/modules/impact/config.py @@ -2,7 +2,7 @@ import configparser import os -version_code = [5, 11, 1] +version_code = [5, 11, 2] version = f"V{version_code[0]}.{version_code[1]}" + (f'.{version_code[2]}' if len(version_code) > 2 else '') dependency_version = 20 diff --git a/pyproject.toml b/pyproject.toml index 81da652..4b56f07 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,7 +1,7 @@ [project] name = "comfyui-impact-pack" description = "This extension offers various detector nodes and detailer nodes that allow you to configure a workflow that automatically enhances facial details. And provide iterative upscaler." -version = "5.11.1" +version = "5.11.2" license = "LICENSE" dependencies = ["segment-anything", "scikit-image", "piexif", "transformers", "opencv-python-headless", "GitPython", "scipy>=1.11.4"]