Commit InnerGlow, InnerShadow and MotionBlur nodes. Renaming all completed nodes. The nodes are divided into 4 groups：LayerStyle, LayerMask, LayerUtility, LayerFilter.
workflows containing old version nodes need to be manually replaced with new version nodes.
This commit is contained in:
chflame163
@@ -1,12 +1,16 @@
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# ComfyUI Layer Style
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A set of nodes for ComfyUI that generate image like Adobe Photoshop's Layer Style.
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Currently completed the Drop Shadow, OuterGlow, and some auxiliary nodes. follow-up work is in progress.
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The completed nodes are as follows, and further work is in progress.
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[中文说明点这里](./README_CN.MD)
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## Update
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* OuterGlow node has undergone significant modifications by adding options for **_brightness_**, **_light_color_**, and **_glow_color_**. workflows containing old version nodes need to be manually replaced with new version nodes.
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* Commit InnerGlow, InnerShadow and MotionBlur nodes.
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* Renaming all completed nodes, the nodes are divided into 4 groups：LayerStyle, LayerMask, LayerUtility, LayerFilter. workflows containing old version nodes need to be manually replaced with new version nodes.
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* Fix OuterGlow, add 3 new options: brightness, light_color and glow_color.
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* OuterGlow node has undergone significant modifications by adding options for **_brightness_**, **_light_color_**, and **_glow_color_**.
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* Commit MaskInvert node.
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* Commit ColorPick node.
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* Commit Stroke node.
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@@ -17,7 +21,7 @@ Currently completed the Drop Shadow, OuterGlow, and some auxiliary nodes. follow
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* Commit OuterGlow node.
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* Commit DropShadow node.
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## Node Description
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# LayerStyle
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### DropShadow:
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Generate shadow
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@@ -38,10 +42,6 @@ Node options:
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* blur: Shadow blur level.
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* shadow_color<sup>4</sup>: Shadow color.
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Output type:
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* image
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### OuterGlow:
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Generate outer glow
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@@ -60,10 +60,6 @@ Node options:
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* light_color<sup>4</sup>: Light color.
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* glow_color<sup>4</sup>: Edge part color of glow.
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Output type:
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* image
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### Stroke:
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Generate a stroke of layer。
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@@ -76,14 +72,31 @@ Node options:
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* invert_mask: Whether to reverse the mask.
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* blend_mode<sup>3</sup>: Blending mode of stroke.
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* opacity: Opacity of stroke.
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* inner_stroke<sup>*</sup>: Stroke shrinkage amplitude.
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* outer_stroke<sup>*</sup>: Stroke expansion amplitude.
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* stroke_grow: Stroke expansion/contraction amplitude, positive values indicate expansion and negative values indicate contraction.
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* stroke_width: Stroke width.
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* stroke_color<sup>4</sup>: Stroke color, described in hexadecimal RGB format.
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<sup>*</sup>The width of the stroke is equal to inner_stroke plus outer_stroke value. Setting two values separately can make it more convenient to adjust the border range.
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Output type:
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* image
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#### Annotation for LayerStyle nodes:
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<sup>1</sup> The layer_image, layer_mask and the background_image(if have input), These three items must be of the same size.。
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<sup>2</sup> The mask not a mandatory input item. the alpha channel of the image is used by default. If the image input does not include an alpha channel, the entire image's alpha channel will be automatically created. if have masks input simultaneously, the alpha channel will be overwrite by the mask.
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<sup>3</sup> The blend mode include **_normal, multply, screen, add, subtract, difference, darker_** and **_lighter_**.
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<sup>4</sup> The RGB color described by hexadecimal RGB format, like '#FA3D86'.
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# LayerMask
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### MaskPreview:
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Preview the input mask
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### MaskInvert:
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Invert the mask
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# LayerUtility
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### ImageBlend:
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Composit layer image and background image, multiple blend modes are available for option, and transparency can be set.
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@@ -98,9 +111,6 @@ Node options:
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* blend_mode<sup>3</sup>: Blending mode.
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* opacity: Opacity of blend.
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Output type:
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* image
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### ImageOpacity:
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Adjust image opacity
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@@ -111,27 +121,6 @@ Node option:
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* invert_mask: Whether to reverse the mask.
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* opacity: Opacity of image.
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Output type:
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* image(RGBA)
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* mask
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### MaskPreview:
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Preview the input mask
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input：mask
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### MaskInvert:
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Invert the mask
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Input:
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* mask
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Output type:
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* mask
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### ColorPicker:
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Modify web extensions from [mtb nodes](https://github.com/melMass/comfy_mtb). Select colors on the color palette and output RGB values.
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@@ -142,24 +131,20 @@ Node options:
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Output Type：
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* string
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# LayerUtility
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### Annotation:
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<sup>1</sup> The layer_image, layer_mask and the background_image(if have input), These three items must be of the same size.。
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### MotionBlur:
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Make the image motion blur
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<sup>2</sup> The mask not a mandatory input item. the alpha channel of the image is used by default. If the image input does not include an alpha channel, the entire image's alpha channel will be automatically created. if have masks input simultaneously, the alpha channel will be overwrite by the mask.
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<sup>3</sup> The blend mode include **_normal, multply, screen, add, subtract, difference, darker_** and **_lighter_**.
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<sup>4</sup> The RGB color described by hexadecimal RGB format, like '#FA3D86'.
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Node options:
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* angle: The angle of blur.
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* blur: The size of blur.
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## Example workflow
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image Some JSON workflow files in the workflow directory, that is example for ComfyUI.
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## The following tasks are in the planned list
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* Inner Shadow
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* Inner Glow
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* Texture
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* Color Overlay
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* Gradient Overlay
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+31
-52
@@ -1,10 +1,13 @@
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# ComfyUI Layer Style：
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ComfyUI插件，通过一组节点实现仿照Adobe Photoshop的图层样式。
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当前已完成Drop Shadow和OuterGlow节点和一些辅助节点，后续工作进行中。
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已完成的节点如下，后续工作进行中。
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## 更新说明：
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* OuterGlow节点重大修改，增加亮度、灯光颜色、辉光颜色选项。包含旧版节点的工作流需手动替换新版节点。
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* 添加InnerGlow, InnerShadow, MotionBlur节点。
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* 所有已完成的节点重新命名，节点分为4组：LayerStyle, LayerMask, LayerUtility, LayerFilter。因为重新命名，包含旧版节点的工作流需手动替换新版节点。
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* OuterGlow节点修改，增加亮度、灯光颜色、辉光颜色选项。
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* 添加MaskInvert节点。
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* 添加Stroke节点。
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* 添加MaskPreview节点。
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@@ -14,13 +17,12 @@ ComfyUI
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* 添加OuterGlow节点。
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* 首个节点DropShadow提交。
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## 节点说明：
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# LayerStyle
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### DropShadow:
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生成阴影。
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节点选项说明：
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* background_image<sup>1</sup>: 背景图像。
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@@ -35,10 +37,6 @@ ComfyUI
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* blur：阴影模糊程度。
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* shadow_color<sup>4</sup>: 阴影颜色。
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输出：
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* image
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### OuterGlow：
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生成外发光。
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@@ -57,10 +55,6 @@ ComfyUI
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* light_color<sup>4</sup>: 发光中心颜色。
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* glow_colo<sup>4</sup>: 辉光外围颜色。
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输出：
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* image
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### Stroke：
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生成描边。
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@@ -73,15 +67,28 @@ ComfyUI
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* invert_mask: 是否反转遮罩。
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* blend_mode<sup>3</sup>: 描边的混合模式。
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* opacity: 不透明度。
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* inner_stroke<sup>*</sup>: 描边向内收缩幅度。
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* outer_stroke<sup>*</sup>：描边向外扩张幅度。
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* stroke_grow<sup></sup>: 描边扩张/收缩幅度，正值是扩张，负值是收缩。
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* stroke_width<sup></sup>：描边宽度。
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* stroke_color<sup>4</sup>: 描边颜色。
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<sup>*</sup>描边的宽度等于收缩值加上扩张值。两个值分开设置能更方便的调整边框范围。
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#### 节点选项注解：
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<sup>1</sup> image、mask和background_image(如果有输入)这三项必须是相同的尺寸。
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<sup>2</sup> mask不是必须的输入项，默认使用image的alpha通道，如果image输入不包含alpha通道将自动创建整个图像的alpha通道。如果输入mask，原本的alpha通道将被mask覆盖。
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<sup>3</sup>: 混合模式包括normal、multply、screen、add、subtract、difference、darker和lighter。
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<sup>4</sup>: 颜色使用16进制RGB字符串格式描述，例如 '#FA3D86'。
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# LayerMask
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### MaskPreview:
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预览mask
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### MaskInvert:
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mask反转
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输出：
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* image
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# LayerUtility
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### ImageBlend：
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用于合成图层，提供多种混合模式供选择，可设置透明度。
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@@ -96,10 +103,6 @@ ComfyUI
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* blend_mode<sup>3</sup>: 图层混合模式。
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* opacity: 不透明度。
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输出：
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* image
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### ImageOpacity:
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调整图像不透明度。
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@@ -110,28 +113,6 @@ ComfyUI
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* invert_mask: 是否反转遮罩。
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* opacity: 不透明度。
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输出：
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* image(RGBA)
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* mask
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### MaskPreview:
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预览mask
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输入：
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* mask
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### MaskInvert:
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mask反转
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输入：
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* mask
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输出：
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* mask
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### ColorPicker:
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在色板上选取颜色并输出。
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改自[mtb nodes](https://github.com/melMass/comfy_mtb)的web extensions。
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@@ -143,13 +124,15 @@ mask
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输出：
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* string
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# LayerUtility
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### MotionBlur:
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运动模糊。
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节点选项说明：
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* angle: 模糊角度。
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* blur: 模糊大小。
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### 节点选项注解：
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<sup>1</sup> image、mask和background_image(如果有输入)这三项必须是相同的尺寸。
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<sup>2</sup> mask不是必须的输入项，默认使用image的alpha通道，如果image输入不包含alpha通道将自动创建整个图像的alpha通道。如果输入mask，原本的alpha通道将被mask覆盖。
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<sup>3</sup>: 混合模式包括normal、multply、screen、add、subtract、difference、darker和lighter。
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<sup>4</sup>: 颜色使用16进制RGB字符串格式描述，例如 '#FA3D86'。
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## 使用示例：
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@@ -157,13 +140,9 @@ mask
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## 以下工作在计划列表中
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* Inner Shadow
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* Inner Glow
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* Texture
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* Color Overlay
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* Gradient Overlay
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*
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## 安装方法：
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* 在CompyUI插件目录(例如“CompyUI\custom_nodes\”)中打开cmd窗口，键入```git clone https://github.com/chflame163/ComfyUI_LayerStyle.git```安装。或者下载解压zip文件，将得到的文件夹复制到 ComfyUI\custom_nodes\
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+4
-4
@@ -23,10 +23,10 @@ class ColorPicker:
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RETURN_TYPES = ("STRING",)
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RETURN_NAMES = ("value",)
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FUNCTION = 'picker'
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CATEGORY = '😺dzNodes'
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CATEGORY = '😺dzNodes/LayerUtility'
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OUTPUT_NODE = True
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def picker(self, color, mode,):
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def picker(self, color, mode):
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ret = color
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if ret == 'white':
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ret = "#FFFFFF"
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@@ -36,9 +36,9 @@ class ColorPicker:
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NODE_CLASS_MAPPINGS = {
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"LayerStyle_ColorPicker": ColorPicker
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"LayerUtility: ColorPicker": ColorPicker
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}
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NODE_DISPLAY_NAME_MAPPINGS = {
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"LayerStyle_ColorPicker": "LayerStyle: ColorPicker"
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"LayerUtility: ColorPicker": "LayerUtility: ColorPicker"
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}
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+8
-15
@@ -15,10 +15,10 @@ class DropShadow:
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"invert_mask": ("BOOLEAN", {"default": True}), # 反转mask
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"blend_mode": (chop_mode,), # 混合模式
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"opacity": ("INT", {"default": 50, "min": 0, "max": 100, "step": 1}), # 透明度
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"distance_x": ("INT", {"default": 5, "min": -9999, "max": 9999, "step": 1}), # x_偏移
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"distance_y": ("INT", {"default": 5, "min": -9999, "max": 9999, "step": 1}), # y_偏移
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"grow": ("INT", {"default": 2, "min": -9999, "max": 9999, "step": 1}), # 扩张
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"blur": ("INT", {"default": 15, "min": 0, "max": 100, "step": 1}), # 模糊
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"distance_x": ("INT", {"default": 25, "min": -9999, "max": 9999, "step": 1}), # x_偏移
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"distance_y": ("INT", {"default": 25, "min": -9999, "max": 9999, "step": 1}), # y_偏移
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"grow": ("INT", {"default": 6, "min": -9999, "max": 9999, "step": 1}), # 扩张
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"blur": ("INT", {"default": 18, "min": 0, "max": 100, "step": 1}), # 模糊
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"shadow_color": ("STRING", {"default": "#000000"}), # 背景颜色
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},
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"optional": {
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@@ -26,20 +26,18 @@ class DropShadow:
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}
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}
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log('DropShadow Processing...')
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# RETURN_TYPES = ("IMAGE", "MASK",)
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# RETURN_NAMES = ("image", "shadow_mask",)
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RETURN_TYPES = ("IMAGE",)
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RETURN_NAMES = ("image",)
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FUNCTION = 'drop_shadow'
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CATEGORY = '😺dzNodes'
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CATEGORY = '😺dzNodes/LayerStyle'
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OUTPUT_NODE = True
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def drop_shadow(self, background_image, layer_image,
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invert_mask, blend_mode, opacity, distance_x, distance_y,
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grow, blur, shadow_color,
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layer_mask=None,
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layer_mask=None
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||||
):
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distance_x = -distance_x
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distance_y = -distance_y
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_canvas = tensor2pil(background_image).convert('RGB')
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@@ -50,23 +48,18 @@ class DropShadow:
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if invert_mask:
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layer_mask = 1 - layer_mask
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_mask = mask2image(layer_mask).convert('L')
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||||
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if distance_x != 0 or distance_y != 0:
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__mask = shift_image(_mask, distance_x, distance_y) # 位移
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shadow_mask = expand_mask(image2mask(__mask), grow, blur) #扩张，模糊
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||||
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# 合成阴影
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||||
shadow_color = Image.new("RGB", _layer.size, color=shadow_color)
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alpha = tensor2pil(shadow_mask).convert('L')
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||||
_shadow = chop_image(_canvas, shadow_color, blend_mode, opacity)
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_canvas.paste(_shadow, mask=alpha)
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||||
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||||
# 合成layer
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||||
_canvas.paste(_layer, mask=_mask)
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||||
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||||
ret_image = _canvas
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||||
# ret_mask = shadow_mask
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||||
# return (pil2tensor(ret_image), ret_mask,)
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log('DropShadow Processed.')
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return (pil2tensor(ret_image),)
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||||
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||||
NODE_CLASS_MAPPINGS = {
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||||
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||||
+5
-7
@@ -24,15 +24,14 @@ class ImageBlend:
|
||||
RETURN_TYPES = ("IMAGE",)
|
||||
RETURN_NAMES = ("image",)
|
||||
FUNCTION = 'image_blend'
|
||||
CATEGORY = '😺dzNodes'
|
||||
CATEGORY = '😺dzNodes/LayerUtility'
|
||||
OUTPUT_NODE = True
|
||||
|
||||
def image_blend(self, background_image, layer_image,
|
||||
invert_mask, blend_mode, opacity,
|
||||
layer_mask=None,
|
||||
layer_mask=None
|
||||
):
|
||||
|
||||
log('ImageBlend Processing...')
|
||||
_canvas = tensor2pil(background_image).convert('RGB')
|
||||
_layer = tensor2pil(layer_image).convert('RGB')
|
||||
_mask = tensor2pil(layer_image).convert('RGBA').split()[-1]
|
||||
@@ -40,18 +39,17 @@ class ImageBlend:
|
||||
if invert_mask:
|
||||
layer_mask = 1 - layer_mask
|
||||
_mask = mask2image(layer_mask).convert('L')
|
||||
|
||||
# 合成layer
|
||||
_comp = chop_image(_canvas, _layer, blend_mode, opacity)
|
||||
_canvas.paste(_comp, mask=_mask)
|
||||
ret_image = _canvas
|
||||
|
||||
log('ImageBlend Processed.')
|
||||
return (pil2tensor(ret_image),)
|
||||
|
||||
NODE_CLASS_MAPPINGS = {
|
||||
"LayerStyle_ImageBlend": ImageBlend
|
||||
"LayerUtility: ImageBlend": ImageBlend
|
||||
}
|
||||
|
||||
NODE_DISPLAY_NAME_MAPPINGS = {
|
||||
"LayerStyle_ImageBlend": "LayerStyle: ImageBlend"
|
||||
"LayerUtility: ImageBlend": "LayerUtility: ImageBlend"
|
||||
}
|
||||
+4
-5
@@ -19,11 +19,10 @@ class ImageOpacity:
|
||||
}
|
||||
}
|
||||
|
||||
log('ImageOpacity Processing...')
|
||||
RETURN_TYPES = ("IMAGE", "MASK",)
|
||||
RETURN_NAMES = ("image", "mask",)
|
||||
FUNCTION = 'image_opacity'
|
||||
CATEGORY = '😺dzNodes'
|
||||
CATEGORY = '😺dzNodes/LayerUtility'
|
||||
OUTPUT_NODE = True
|
||||
|
||||
def image_opacity(self, image, opacity, invert_mask,
|
||||
@@ -51,13 +50,13 @@ class ImageOpacity:
|
||||
ret_image = Image.merge('RGBA', (R, G, B, ImageChops.invert(ret_mask)))
|
||||
else:
|
||||
ret_image = Image.merge('RGBA', (R, G, B, ret_mask))
|
||||
|
||||
log('ImageOpacity Processed.')
|
||||
return (pil2tensor(ret_image), image2mask(ret_mask),)
|
||||
|
||||
NODE_CLASS_MAPPINGS = {
|
||||
"LayerStyle_ImageOpacity": ImageOpacity
|
||||
"LayerUtility: ImageOpacity": ImageOpacity
|
||||
}
|
||||
|
||||
NODE_DISPLAY_NAME_MAPPINGS = {
|
||||
"LayerStyle_ImageOpacity": "LayerStyle: ImageOpacity"
|
||||
"LayerUtility: ImageOpacity": "LayerUtility: ImageOpacity"
|
||||
}
|
||||
+53
-31
@@ -12,6 +12,8 @@ def log(message):
|
||||
name = 'LayerStyle'
|
||||
print(f"# 😺dzNodes: {name} -> {message}")
|
||||
|
||||
'''Converter'''
|
||||
|
||||
def cv22pil(cv2_img:np.ndarray) -> Image:
|
||||
cv2_img = cv2.cvtColor(cv2_img, cv2.COLOR_BGR2RGB)
|
||||
return Image.fromarray(cv2_img)
|
||||
@@ -54,9 +56,7 @@ def mask2image(mask:torch.Tensor) -> Image:
|
||||
_image, Image.new("RGBA", _mask.size, color='black'), _mask)
|
||||
return _image
|
||||
|
||||
def mask_invert(mask:torch.Tensor) -> torch.Tensor:
|
||||
_image = mask2image(mask)
|
||||
return image2mask(ImageChops.invert(_image))
|
||||
'''Image Functions'''
|
||||
|
||||
def shift_image(image:Image, distance_x:int, distance_y:int) -> Image:
|
||||
bkcolor = (0, 0, 0)
|
||||
@@ -65,14 +65,13 @@ def shift_image(image:Image, distance_x:int, distance_y:int) -> Image:
|
||||
ret_image = Image.new('RGB', size=(width, height), color=bkcolor)
|
||||
for x in range(width):
|
||||
for y in range(height):
|
||||
if x > -distance_x and y > -distance_y:
|
||||
if x + distance_x < width and y + distance_y < height:
|
||||
if x > -distance_x and y > -distance_y: # 防止回转
|
||||
if x + distance_x < width and y + distance_y < height: # 防止越界
|
||||
pixel = image.getpixel((x + distance_x, y + distance_y))
|
||||
ret_image.putpixel((x, y), pixel)
|
||||
return ret_image
|
||||
|
||||
def chop_image(background_image:Image, layer_image:Image, blend_mode:str, opacity:int) -> Image:
|
||||
|
||||
ret_image = background_image
|
||||
if blend_mode == 'normal':
|
||||
ret_image = layer_image
|
||||
@@ -90,16 +89,43 @@ def chop_image(background_image:Image, layer_image:Image, blend_mode:str, opacit
|
||||
ret_image = ImageChops.darker(background_image, layer_image)
|
||||
if blend_mode == 'lighter':
|
||||
ret_image = ImageChops.lighter(background_image, layer_image)
|
||||
|
||||
# opacity
|
||||
if opacity == 0:
|
||||
ret_image = background_image
|
||||
elif opacity < 100:
|
||||
alpha = 1.0 - float(opacity) / 100
|
||||
ret_image = Image.blend(ret_image, background_image, alpha)
|
||||
|
||||
return ret_image
|
||||
|
||||
def remove_background(image:Image, mask:Image, color:str) -> Image:
|
||||
width = image.width
|
||||
height = image.height
|
||||
ret_image = Image.new('RGB', size=(width, height), color=color)
|
||||
ret_image.paste(image, mask=mask)
|
||||
return ret_image
|
||||
|
||||
def motion_blur(image:Image, angle:int, blur:int) -> Image:
|
||||
angle += 45
|
||||
blur *= 5
|
||||
image = np.array(pil2cv2(image))
|
||||
M = cv2.getRotationMatrix2D((blur / 2, blur / 2), angle, 1)
|
||||
motion_blur_kernel = np.diag(np.ones(blur))
|
||||
motion_blur_kernel = cv2.warpAffine(motion_blur_kernel, M, (blur, blur))
|
||||
motion_blur_kernel = motion_blur_kernel / blur
|
||||
blurred = cv2.filter2D(image, -1, motion_blur_kernel)
|
||||
# convert to uint8
|
||||
cv2.normalize(blurred, blurred, 0, 255, cv2.NORM_MINMAX)
|
||||
blurred = np.array(blurred, dtype=np.uint8)
|
||||
ret_image = cv22pil(blurred)
|
||||
return ret_image
|
||||
|
||||
def direction_blur(image:Image, angle:int, blur:int, color:str) -> Image:
|
||||
|
||||
ret_image = image
|
||||
return ret_image
|
||||
|
||||
'''Mask Functions'''
|
||||
|
||||
def expand_mask(mask:torch.Tensor, grow:int, blur:int) -> torch.Tensor:
|
||||
# grow
|
||||
c = 0
|
||||
@@ -122,54 +148,50 @@ def expand_mask(mask:torch.Tensor, grow:int, blur:int) -> torch.Tensor:
|
||||
pil_image = tensor2pil(tensor.cpu().detach())
|
||||
pil_image = pil_image.filter(ImageFilter.GaussianBlur(blur))
|
||||
out[idx] = pil2tensor(pil_image)
|
||||
|
||||
ret_mask = torch.cat(out, dim=0)
|
||||
return ret_mask
|
||||
|
||||
def remove_background(image:Image, mask:Image, color:str) -> Image:
|
||||
width = image.width
|
||||
height = image.height
|
||||
ret_image = Image.new('RGB', size=(width, height), color=color)
|
||||
ret_image.paste(image, mask=mask)
|
||||
return ret_image
|
||||
def mask_invert(mask:torch.Tensor) -> torch.Tensor:
|
||||
_image = mask2image(mask)
|
||||
return image2mask(ImageChops.invert(_image))
|
||||
|
||||
def subtract_mask(masks_a, masks_b):
|
||||
def subtract_mask(masks_a:torch.Tensor, masks_b:torch.Tensor) -> torch.Tensor:
|
||||
return torch.clamp(masks_a - masks_b, 0, 255)
|
||||
|
||||
def RGB_to_Hex(RGB):
|
||||
# _rgb = tuple(map(int, RGB[1:-1].split(',')))
|
||||
_rgb = RGB
|
||||
'''Color Functions'''
|
||||
|
||||
def RGB_to_Hex(RGB) -> str:
|
||||
color = '#'
|
||||
for i in _rgb:
|
||||
for i in RGB:
|
||||
num = int(i)
|
||||
color += str(hex(num))[-2:].replace('x', '0').upper()
|
||||
return color
|
||||
|
||||
def Hex_to_RGB(inhex):
|
||||
def Hex_to_RGB(inhex) -> tuple:
|
||||
rval = inhex[1:3]
|
||||
gval = inhex[3:5]
|
||||
bval = inhex[5:]
|
||||
rgb = (int(rval, 16), int(gval, 16), int(bval, 16))
|
||||
return tuple(rgb)
|
||||
|
||||
def step_value(start_value, end_value, total_step, step):
|
||||
factor = step / total_step
|
||||
return int((end_value - start_value) * factor) + start_value
|
||||
'''Value Functions'''
|
||||
|
||||
def step_color(start_color, end_color, total_step, step):
|
||||
def step_value(start_value, end_value, total_step, step) -> float: # 按当前步数在总步数中的位置返回比例值
|
||||
factor = step / total_step
|
||||
return (end_value - start_value) * factor + start_value
|
||||
|
||||
def step_color(start_color, end_color, total_step, step): # 按当前步数在总步数中的位置返回比例颜色
|
||||
if isinstance(start_color, str):
|
||||
start_color = tuple(Hex_to_RGB(start_color))
|
||||
|
||||
if isinstance(end_color, str):
|
||||
end_color = tuple(Hex_to_RGB(end_color))
|
||||
|
||||
start_R, start_G, start_B = start_color[0], start_color[1], start_color[2]
|
||||
end_R, end_G, end_B = end_color[0], end_color[1], end_color[2]
|
||||
ret_color = (step_value(start_R, end_R, total_step, step),
|
||||
step_value(start_G, end_G, total_step, step),
|
||||
step_value(start_B, end_B, total_step, step),
|
||||
ret_color = (int(step_value(start_R, end_R, total_step, step)),
|
||||
int(step_value(start_G, end_G, total_step, step)),
|
||||
int(step_value(start_B, end_B, total_step, step)),
|
||||
)
|
||||
if isinstance(start_color, str):
|
||||
return RGB_to_Hex(ret_color)
|
||||
else:
|
||||
return ret_color
|
||||
return ret_color
|
||||
|
||||
@@ -0,0 +1,75 @@
|
||||
from .imagefunc import *
|
||||
|
||||
class InnerGlow:
|
||||
|
||||
def __init__(self):
|
||||
pass
|
||||
|
||||
@classmethod
|
||||
def INPUT_TYPES(self):
|
||||
chop_mode = ['screen', 'add', 'lighter', 'normal', 'multply', 'subtract','difference','darker']
|
||||
return {
|
||||
"required": {
|
||||
"background_image": ("IMAGE", ), #
|
||||
"layer_image": ("IMAGE",), #
|
||||
"invert_mask": ("BOOLEAN", {"default": True}), # 反转mask
|
||||
"blend_mode": (chop_mode,), # 混合模式
|
||||
"opacity": ("INT", {"default": 100, "min": 0, "max": 100, "step": 1}), # 透明度
|
||||
"brightness": ("INT", {"default": 5, "min": 2, "max": 20, "step": 1}), # 迭代
|
||||
"glow_range": ("INT", {"default": 48, "min": -9999, "max": 9999, "step": 1}), # 扩张
|
||||
"blur": ("INT", {"default": 25, "min": 0, "max": 9999, "step": 1}), # 扩张
|
||||
"light_color": ("STRING", {"default": "#FFBF30"}), # 光源中心颜色
|
||||
"glow_color": ("STRING", {"default": "#FE0000"}), # 辉光外围颜色
|
||||
},
|
||||
"optional": {
|
||||
"layer_mask": ("MASK",), #
|
||||
}
|
||||
}
|
||||
|
||||
RETURN_TYPES = ("IMAGE",)
|
||||
RETURN_NAMES = ("image",)
|
||||
FUNCTION = 'inner_glow'
|
||||
CATEGORY = '😺dzNodes/LayerStyle'
|
||||
OUTPUT_NODE = True
|
||||
|
||||
def inner_glow(self, background_image, layer_image,
|
||||
invert_mask, blend_mode, opacity,
|
||||
brightness, glow_range, blur, light_color, glow_color,
|
||||
layer_mask=None
|
||||
):
|
||||
|
||||
_canvas = tensor2pil(background_image).convert('RGB')
|
||||
_layer = tensor2pil(layer_image).convert('RGB')
|
||||
_mask = tensor2pil(layer_image).convert('RGBA').split()[-1]
|
||||
# 处理mask
|
||||
if layer_mask is not None:
|
||||
if invert_mask:
|
||||
layer_mask = 1 - layer_mask
|
||||
_mask = mask2image(layer_mask).convert('L')
|
||||
|
||||
blur_factor = blur / 20.0
|
||||
grow = glow_range
|
||||
inner_mask = _mask
|
||||
for x in range(brightness):
|
||||
blur = int(grow * blur_factor)
|
||||
_color = step_color(glow_color, light_color, brightness, x)
|
||||
glow_mask = expand_mask(image2mask(inner_mask), -grow, blur) #扩张，模糊
|
||||
# 合成glow
|
||||
color_image = Image.new("RGB", _layer.size, color=_color)
|
||||
alpha = tensor2pil(mask_invert(glow_mask)).convert('L')
|
||||
_glow = chop_image(_layer, color_image, blend_mode, int(step_value(1, opacity, brightness, x)))
|
||||
_layer.paste(_glow, mask=alpha)
|
||||
grow = grow - int(glow_range/brightness)
|
||||
# 合成layer
|
||||
_layer.paste(_canvas, mask=ImageChops.invert(_mask))
|
||||
ret_image = _layer
|
||||
log('InnerGLow Advance Processed.')
|
||||
return (pil2tensor(ret_image),)
|
||||
|
||||
NODE_CLASS_MAPPINGS = {
|
||||
"LayerStyle: InnerGlow": InnerGlow
|
||||
}
|
||||
|
||||
NODE_DISPLAY_NAME_MAPPINGS = {
|
||||
"LayerStyle: InnerGlow": "LayerStyle: InnerGlow"
|
||||
}
|
||||
@@ -0,0 +1,72 @@
|
||||
from .imagefunc import *
|
||||
|
||||
class InnerShadow:
|
||||
|
||||
def __init__(self):
|
||||
pass
|
||||
|
||||
@classmethod
|
||||
def INPUT_TYPES(self):
|
||||
chop_mode = ['normal','multply','screen','add','subtract','difference','darker','lighter']
|
||||
return {
|
||||
"required": {
|
||||
"background_image": ("IMAGE", ), #
|
||||
"layer_image": ("IMAGE",), #
|
||||
"invert_mask": ("BOOLEAN", {"default": True}), # 反转mask
|
||||
"blend_mode": (chop_mode,), # 混合模式
|
||||
"opacity": ("INT", {"default": 50, "min": 0, "max": 100, "step": 1}), # 透明度
|
||||
"distance_x": ("INT", {"default": 5, "min": -9999, "max": 9999, "step": 1}), # x_偏移
|
||||
"distance_y": ("INT", {"default": 5, "min": -9999, "max": 9999, "step": 1}), # y_偏移
|
||||
"grow": ("INT", {"default": 2, "min": -9999, "max": 9999, "step": 1}), # 扩张
|
||||
"blur": ("INT", {"default": 15, "min": 0, "max": 100, "step": 1}), # 模糊
|
||||
"shadow_color": ("STRING", {"default": "#000000"}), # 背景颜色
|
||||
},
|
||||
"optional": {
|
||||
"layer_mask": ("MASK",), #
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
RETURN_TYPES = ("IMAGE",)
|
||||
RETURN_NAMES = ("image",)
|
||||
FUNCTION = 'inner_shadow'
|
||||
CATEGORY = '😺dzNodes/LayerStyle'
|
||||
OUTPUT_NODE = True
|
||||
|
||||
def inner_shadow(self, background_image, layer_image,
|
||||
invert_mask, blend_mode, opacity, distance_x, distance_y,
|
||||
grow, blur, shadow_color,
|
||||
layer_mask=None
|
||||
):
|
||||
|
||||
distance_x = -distance_x
|
||||
distance_y = -distance_y
|
||||
_canvas = tensor2pil(background_image).convert('RGB')
|
||||
_layer = tensor2pil(layer_image).convert('RGB')
|
||||
_mask = tensor2pil(layer_image).convert('RGBA').split()[-1]
|
||||
# 处理mask
|
||||
if layer_mask is not None:
|
||||
if invert_mask:
|
||||
layer_mask = 1 - layer_mask
|
||||
_mask = mask2image(layer_mask).convert('L')
|
||||
if distance_x != 0 or distance_y != 0:
|
||||
__mask = shift_image(_mask, distance_x, distance_y) # 位移
|
||||
shadow_mask = expand_mask(image2mask(__mask), grow, blur) #扩张，模糊
|
||||
# 合成阴影
|
||||
shadow_color = Image.new("RGB", _layer.size, color=shadow_color)
|
||||
alpha = tensor2pil(shadow_mask).convert('L')
|
||||
_shadow = chop_image(_layer, shadow_color, blend_mode, opacity)
|
||||
_layer.paste(_shadow, mask=ImageChops.invert(alpha))
|
||||
# 合成layer
|
||||
_canvas.paste(_layer, mask=_mask)
|
||||
ret_image = _canvas
|
||||
log('InnerShadow Processed.')
|
||||
return (pil2tensor(ret_image),)
|
||||
|
||||
NODE_CLASS_MAPPINGS = {
|
||||
"LayerStyle: InnerShadow": InnerShadow
|
||||
}
|
||||
|
||||
NODE_DISPLAY_NAME_MAPPINGS = {
|
||||
"LayerStyle: InnerShadow": "LayerStyle: InnerShadow"
|
||||
}
|
||||
+4
-4
@@ -18,17 +18,17 @@ class MaskInvert:
|
||||
RETURN_TYPES = ("MASK",)
|
||||
RETURN_NAMES = ("mask",)
|
||||
FUNCTION = 'mask_invert'
|
||||
CATEGORY = '😺dzNodes'
|
||||
CATEGORY = '😺dzNodes/LayerMask'
|
||||
OUTPUT_NODE = True
|
||||
|
||||
def mask_invert(self,mask,):
|
||||
def mask_invert(self,mask):
|
||||
|
||||
return (mask_invert(mask),)
|
||||
|
||||
NODE_CLASS_MAPPINGS = {
|
||||
"LayerStyle_MaskInvert": MaskInvert
|
||||
"LayerMask: MaskInvert": MaskInvert
|
||||
}
|
||||
|
||||
NODE_DISPLAY_NAME_MAPPINGS = {
|
||||
"LayerStyle_MaskInvert": "LayerStyle: MaskInvert"
|
||||
"LayerMask: MaskInvert": "LayerMask: MaskInvert"
|
||||
}
|
||||
+3
-3
@@ -17,16 +17,16 @@ class MaskPreview(SaveImage):
|
||||
}
|
||||
|
||||
FUNCTION = "mask_preview"
|
||||
CATEGORY = '😺dzNodes'
|
||||
CATEGORY = '😺dzNodes/LayerMask'
|
||||
|
||||
def mask_preview(self, mask):
|
||||
preview = mask.reshape((-1, 1, mask.shape[-2], mask.shape[-1])).movedim(1, -1).expand(-1, -1, -1, 3)
|
||||
return self.save_images(preview, "MaskPreview")
|
||||
|
||||
NODE_CLASS_MAPPINGS = {
|
||||
"LayerStyle_MaskPreview": MaskPreview
|
||||
"LayerMask: MaskPreview": MaskPreview
|
||||
}
|
||||
|
||||
NODE_DISPLAY_NAME_MAPPINGS = {
|
||||
"LayerStyle_MaskPreview": "LayerStyle: MaskPreview"
|
||||
"LayerMask: MaskPreview": "LayerMask: MaskPreview"
|
||||
}
|
||||
@@ -0,0 +1,40 @@
|
||||
from .imagefunc import *
|
||||
|
||||
class MotionBlur:
|
||||
|
||||
def __init__(self):
|
||||
pass
|
||||
|
||||
@classmethod
|
||||
def INPUT_TYPES(self):
|
||||
|
||||
return {
|
||||
"required": {
|
||||
"image": ("IMAGE", ), #
|
||||
"angle": ("INT", {"default": 0, "min": -90, "max": 90, "step": 1}), # 角度
|
||||
"blur": ("INT", {"default": 20, "min": 1, "max": 999, "step": 1}), # 模糊
|
||||
},
|
||||
"optional": {
|
||||
}
|
||||
}
|
||||
|
||||
RETURN_TYPES = ("IMAGE",)
|
||||
RETURN_NAMES = ("image",)
|
||||
FUNCTION = 'motion_blur'
|
||||
CATEGORY = '😺dzNodes/LayerFilter'
|
||||
OUTPUT_NODE = True
|
||||
|
||||
def motion_blur(self, image, angle, blur):
|
||||
|
||||
_canvas = tensor2pil(image).convert('RGB')
|
||||
ret_image = motion_blur(_canvas, angle, blur)
|
||||
log('MotionBlur Processed.')
|
||||
return (pil2tensor(ret_image),)
|
||||
|
||||
NODE_CLASS_MAPPINGS = {
|
||||
"LayerFilter: MotionBlur": MotionBlur
|
||||
}
|
||||
|
||||
NODE_DISPLAY_NAME_MAPPINGS = {
|
||||
"LayerFilter: MotionBlur": "LayerFilter: MotionBlur"
|
||||
}
|
||||
+4
-6
@@ -29,16 +29,15 @@ class OuterGlow:
|
||||
RETURN_TYPES = ("IMAGE",)
|
||||
RETURN_NAMES = ("image",)
|
||||
FUNCTION = 'outer_glow'
|
||||
CATEGORY = '😺dzNodes'
|
||||
CATEGORY = '😺dzNodes/LayerStyle'
|
||||
OUTPUT_NODE = True
|
||||
|
||||
def outer_glow(self, background_image, layer_image,
|
||||
invert_mask, blend_mode, opacity,
|
||||
brightness, glow_range, blur, light_color, glow_color,
|
||||
layer_mask=None,
|
||||
layer_mask=None
|
||||
):
|
||||
|
||||
log('OuterGLow Advance Processing...')
|
||||
_canvas = tensor2pil(background_image).convert('RGB')
|
||||
_layer = tensor2pil(layer_image).convert('RGB')
|
||||
_mask = tensor2pil(layer_image).convert('RGBA').split()[-1]
|
||||
@@ -56,14 +55,13 @@ class OuterGlow:
|
||||
# 合成glow
|
||||
color_image = Image.new("RGB", _layer.size, color=_color)
|
||||
alpha = tensor2pil(glow_mask).convert('L')
|
||||
_glow = chop_image(_canvas, color_image, blend_mode, step_value(1, opacity, brightness, x))
|
||||
_glow = chop_image(_canvas, color_image, blend_mode, int(step_value(1, opacity, brightness, x)))
|
||||
_canvas.paste(_glow, mask=alpha)
|
||||
grow = grow - int(glow_range/brightness)
|
||||
|
||||
# 合成layer
|
||||
_canvas.paste(_layer, mask=_mask)
|
||||
ret_image = _canvas
|
||||
|
||||
log('OuterGLow Advance Processed.')
|
||||
return (pil2tensor(ret_image),)
|
||||
|
||||
NODE_CLASS_MAPPINGS = {
|
||||
|
||||
+12
-9
@@ -15,8 +15,8 @@ class Stroke:
|
||||
"invert_mask": ("BOOLEAN", {"default": True}), # 反转mask
|
||||
"blend_mode": (chop_mode,), # 混合模式
|
||||
"opacity": ("INT", {"default": 100, "min": 0, "max": 100, "step": 1}), # 透明度
|
||||
"inner_stroke": ("INT", {"default": 4, "min": 0, "max": 9999, "step": 1}), # 收缩值
|
||||
"outer_stroke": ("INT", {"default": 4, "min": 0, "max": 9999, "step": 1}), # 扩张值
|
||||
"stroke_grow": ("INT", {"default": 0, "min": -999, "max": 999, "step": 1}), # 收缩值
|
||||
"stroke_width": ("INT", {"default": 8, "min": 0, "max": 999, "step": 1}), # 扩张值
|
||||
"blur": ("INT", {"default": 0, "min": 0, "max": 100, "step": 1}), # 模糊
|
||||
"stroke_color": ("STRING", {"default": "#FF0000"}), # 描边颜色
|
||||
},
|
||||
@@ -28,16 +28,15 @@ class Stroke:
|
||||
RETURN_TYPES = ("IMAGE",)
|
||||
RETURN_NAMES = ("image",)
|
||||
FUNCTION = 'stroke'
|
||||
CATEGORY = '😺dzNodes'
|
||||
CATEGORY = '😺dzNodes/LayerStyle'
|
||||
OUTPUT_NODE = True
|
||||
|
||||
def stroke(self, background_image, layer_image,
|
||||
invert_mask, blend_mode, opacity,
|
||||
inner_stroke, outer_stroke, blur, stroke_color,
|
||||
layer_mask=None,
|
||||
stroke_grow, stroke_width, blur, stroke_color,
|
||||
layer_mask=None
|
||||
):
|
||||
|
||||
log('Stroke Processing...')
|
||||
_canvas = tensor2pil(background_image).convert('RGB')
|
||||
_layer = tensor2pil(layer_image).convert('RGB')
|
||||
_mask = tensor2pil(layer_image).convert('RGBA').split()[-1]
|
||||
@@ -46,7 +45,10 @@ class Stroke:
|
||||
layer_mask = 1 - layer_mask
|
||||
_mask = mask2image(layer_mask).convert('L')
|
||||
|
||||
inner_mask = expand_mask(image2mask(_mask), -inner_stroke, blur)
|
||||
grow_offset = int(stroke_width / 2)
|
||||
inner_stroke = stroke_grow - grow_offset
|
||||
outer_stroke = inner_stroke + stroke_width
|
||||
inner_mask = expand_mask(image2mask(_mask), inner_stroke, blur)
|
||||
outer_mask = expand_mask(image2mask(_mask), outer_stroke, blur)
|
||||
strock_mask = subtract_mask(outer_mask, inner_mask)
|
||||
color_image = Image.new('RGB', size=_layer.size, color=stroke_color)
|
||||
@@ -54,12 +56,13 @@ class Stroke:
|
||||
_canvas.paste(_layer, mask=_mask)
|
||||
_canvas.paste(blend_image, mask=tensor2pil(strock_mask))
|
||||
ret_image = _canvas
|
||||
log('Stroke Processed.')
|
||||
return (pil2tensor(ret_image),)
|
||||
|
||||
NODE_CLASS_MAPPINGS = {
|
||||
"LayerStyle_Stroke": Stroke
|
||||
"LayerStyle: Stroke": Stroke
|
||||
}
|
||||
|
||||
NODE_DISPLAY_NAME_MAPPINGS = {
|
||||
"LayerStyle_Stroke": "LayerStyle: Stroke"
|
||||
"LayerStyle: Stroke": "LayerStyle: Stroke"
|
||||
}
|
||||
Binary file not shown.
|
Before Width: | Height: | Size: 68 KiB After Width: | Height: | Size: 57 KiB |
+205
-206
@@ -1,207 +1,206 @@
|
||||
{
|
||||
"last_node_id": 23,
|
||||
"last_link_id": 58,
|
||||
"nodes": [
|
||||
{
|
||||
"id": 22,
|
||||
"type": "LayerStyle_DropShadow",
|
||||
"pos": [
|
||||
540,
|
||||
-660
|
||||
],
|
||||
"size": {
|
||||
"0": 315,
|
||||
"1": 266
|
||||
},
|
||||
"flags": {},
|
||||
"order": 2,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "background_image",
|
||||
"type": "IMAGE",
|
||||
"link": 54
|
||||
},
|
||||
{
|
||||
"name": "layer_image",
|
||||
"type": "IMAGE",
|
||||
"link": 55
|
||||
},
|
||||
{
|
||||
"name": "layer_mask",
|
||||
"type": "MASK",
|
||||
"link": 56
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "image",
|
||||
"type": "IMAGE",
|
||||
"links": [
|
||||
58
|
||||
],
|
||||
"shape": 3,
|
||||
"slot_index": 0
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"Node name for S&R": "LayerStyle_DropShadow"
|
||||
},
|
||||
"widgets_values": [
|
||||
true,
|
||||
"normal",
|
||||
50,
|
||||
5,
|
||||
5,
|
||||
2,
|
||||
15,
|
||||
"#000000"
|
||||
]
|
||||
},
|
||||
{
|
||||
"id": 23,
|
||||
"type": "SaveImage",
|
||||
"pos": [
|
||||
890,
|
||||
-660
|
||||
],
|
||||
"size": [
|
||||
315,
|
||||
270
|
||||
],
|
||||
"flags": {},
|
||||
"order": 3,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "images",
|
||||
"type": "IMAGE",
|
||||
"link": 58
|
||||
}
|
||||
],
|
||||
"properties": {},
|
||||
"widgets_values": [
|
||||
"ComfyUI"
|
||||
]
|
||||
},
|
||||
{
|
||||
"id": 2,
|
||||
"type": "LoadImage",
|
||||
"pos": [
|
||||
180,
|
||||
-680
|
||||
],
|
||||
"size": {
|
||||
"0": 315,
|
||||
"1": 314
|
||||
},
|
||||
"flags": {},
|
||||
"order": 0,
|
||||
"mode": 0,
|
||||
"outputs": [
|
||||
{
|
||||
"name": "IMAGE",
|
||||
"type": "IMAGE",
|
||||
"links": [
|
||||
55
|
||||
],
|
||||
"shape": 3,
|
||||
"slot_index": 0
|
||||
},
|
||||
{
|
||||
"name": "MASK",
|
||||
"type": "MASK",
|
||||
"links": [
|
||||
56
|
||||
],
|
||||
"shape": 3,
|
||||
"slot_index": 1
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"Node name for S&R": "LoadImage"
|
||||
},
|
||||
"widgets_values": [
|
||||
"512x512.png",
|
||||
"image"
|
||||
]
|
||||
},
|
||||
{
|
||||
"id": 3,
|
||||
"type": "LoadImage",
|
||||
"pos": [
|
||||
-160,
|
||||
-680
|
||||
],
|
||||
"size": {
|
||||
"0": 315,
|
||||
"1": 314
|
||||
},
|
||||
"flags": {},
|
||||
"order": 1,
|
||||
"mode": 0,
|
||||
"outputs": [
|
||||
{
|
||||
"name": "IMAGE",
|
||||
"type": "IMAGE",
|
||||
"links": [
|
||||
54
|
||||
],
|
||||
"shape": 3,
|
||||
"slot_index": 0
|
||||
},
|
||||
{
|
||||
"name": "MASK",
|
||||
"type": "MASK",
|
||||
"links": null,
|
||||
"shape": 3
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"Node name for S&R": "LoadImage"
|
||||
},
|
||||
"widgets_values": [
|
||||
"512x512bkgd.jpg",
|
||||
"image"
|
||||
]
|
||||
}
|
||||
],
|
||||
"links": [
|
||||
[
|
||||
54,
|
||||
3,
|
||||
0,
|
||||
22,
|
||||
0,
|
||||
"IMAGE"
|
||||
],
|
||||
[
|
||||
55,
|
||||
2,
|
||||
0,
|
||||
22,
|
||||
1,
|
||||
"IMAGE"
|
||||
],
|
||||
[
|
||||
56,
|
||||
2,
|
||||
1,
|
||||
22,
|
||||
2,
|
||||
"MASK"
|
||||
],
|
||||
[
|
||||
58,
|
||||
22,
|
||||
0,
|
||||
23,
|
||||
0,
|
||||
"IMAGE"
|
||||
]
|
||||
],
|
||||
"groups": [],
|
||||
"config": {},
|
||||
"extra": {},
|
||||
"version": 0.4
|
||||
{
|
||||
"last_node_id": 18,
|
||||
"last_link_id": 35,
|
||||
"nodes": [
|
||||
{
|
||||
"id": 4,
|
||||
"type": "PreviewImage",
|
||||
"pos": [
|
||||
1360,
|
||||
390
|
||||
],
|
||||
"size": [
|
||||
310.00006103515625,
|
||||
308.33331298828125
|
||||
],
|
||||
"flags": {},
|
||||
"order": 3,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "images",
|
||||
"type": "IMAGE",
|
||||
"link": 34
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"Node name for S&R": "PreviewImage"
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": 2,
|
||||
"type": "LoadImage",
|
||||
"pos": [
|
||||
310,
|
||||
390
|
||||
],
|
||||
"size": {
|
||||
"0": 315,
|
||||
"1": 314
|
||||
},
|
||||
"flags": {},
|
||||
"order": 0,
|
||||
"mode": 0,
|
||||
"outputs": [
|
||||
{
|
||||
"name": "IMAGE",
|
||||
"type": "IMAGE",
|
||||
"links": [
|
||||
32
|
||||
],
|
||||
"shape": 3,
|
||||
"slot_index": 0
|
||||
},
|
||||
{
|
||||
"name": "MASK",
|
||||
"type": "MASK",
|
||||
"links": null,
|
||||
"shape": 3
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"Node name for S&R": "LoadImage"
|
||||
},
|
||||
"widgets_values": [
|
||||
"512x512bk.jpg",
|
||||
"image"
|
||||
]
|
||||
},
|
||||
{
|
||||
"id": 18,
|
||||
"type": "LayerStyle_DropShadow",
|
||||
"pos": [
|
||||
1013,
|
||||
414
|
||||
],
|
||||
"size": {
|
||||
"0": 315,
|
||||
"1": 266
|
||||
},
|
||||
"flags": {},
|
||||
"order": 2,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "background_image",
|
||||
"type": "IMAGE",
|
||||
"link": 32
|
||||
},
|
||||
{
|
||||
"name": "layer_image",
|
||||
"type": "IMAGE",
|
||||
"link": 33
|
||||
},
|
||||
{
|
||||
"name": "layer_mask",
|
||||
"type": "MASK",
|
||||
"link": 35
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "image",
|
||||
"type": "IMAGE",
|
||||
"links": [
|
||||
34
|
||||
],
|
||||
"shape": 3,
|
||||
"slot_index": 0
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"Node name for S&R": "LayerStyle_DropShadow"
|
||||
},
|
||||
"widgets_values": [
|
||||
true,
|
||||
"normal",
|
||||
50,
|
||||
25,
|
||||
25,
|
||||
6,
|
||||
18,
|
||||
"#000000"
|
||||
]
|
||||
},
|
||||
{
|
||||
"id": 15,
|
||||
"type": "LoadImage",
|
||||
"pos": [
|
||||
660,
|
||||
399
|
||||
],
|
||||
"size": {
|
||||
"0": 315,
|
||||
"1": 314
|
||||
},
|
||||
"flags": {},
|
||||
"order": 1,
|
||||
"mode": 0,
|
||||
"outputs": [
|
||||
{
|
||||
"name": "IMAGE",
|
||||
"type": "IMAGE",
|
||||
"links": [
|
||||
33
|
||||
],
|
||||
"shape": 3,
|
||||
"slot_index": 0
|
||||
},
|
||||
{
|
||||
"name": "MASK",
|
||||
"type": "MASK",
|
||||
"links": [
|
||||
35
|
||||
],
|
||||
"shape": 3,
|
||||
"slot_index": 1
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"Node name for S&R": "LoadImage"
|
||||
},
|
||||
"widgets_values": [
|
||||
"512x512 (14).png",
|
||||
"image"
|
||||
]
|
||||
}
|
||||
],
|
||||
"links": [
|
||||
[
|
||||
32,
|
||||
2,
|
||||
0,
|
||||
18,
|
||||
0,
|
||||
"IMAGE"
|
||||
],
|
||||
[
|
||||
33,
|
||||
15,
|
||||
0,
|
||||
18,
|
||||
1,
|
||||
"IMAGE"
|
||||
],
|
||||
[
|
||||
34,
|
||||
18,
|
||||
0,
|
||||
4,
|
||||
0,
|
||||
"IMAGE"
|
||||
],
|
||||
[
|
||||
35,
|
||||
15,
|
||||
1,
|
||||
18,
|
||||
2,
|
||||
"MASK"
|
||||
]
|
||||
],
|
||||
"groups": [],
|
||||
"config": {},
|
||||
"extra": {},
|
||||
"version": 0.4
|
||||
}
|
||||
+425
-201
@@ -1,202 +1,426 @@
|
||||
{
|
||||
"last_node_id": 5,
|
||||
"last_link_id": 5,
|
||||
"nodes": [
|
||||
{
|
||||
"id": 1,
|
||||
"type": "LoadImage",
|
||||
"pos": [
|
||||
327,
|
||||
175
|
||||
],
|
||||
"size": {
|
||||
"0": 315,
|
||||
"1": 314
|
||||
},
|
||||
"flags": {},
|
||||
"order": 0,
|
||||
"mode": 0,
|
||||
"outputs": [
|
||||
{
|
||||
"name": "IMAGE",
|
||||
"type": "IMAGE",
|
||||
"links": [
|
||||
1
|
||||
],
|
||||
"shape": 3,
|
||||
"slot_index": 0
|
||||
},
|
||||
{
|
||||
"name": "MASK",
|
||||
"type": "MASK",
|
||||
"links": null,
|
||||
"shape": 3
|
||||
}
|
||||
],
|
||||
"properties": {
|
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|
||||
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|
||||
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||||
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+124
-124
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Reference in New Issue
Block a user