commit SD3NegativeConditioning node

README.MD

@@ -80,6 +80,7 @@ When this error has occurred, please check the network environment.
 ## Update
 <font size="4">**If the dependency package error after updating, please reinstall the relevant dependency packages. </font><br /> 
 
+* Commit [SD3NegativeConditioning](#SD3NegativeConditioning) node, Encapsulate the four nodes of Negative Condition in SD3 into a separate node.
 * [ImageRemoveAlpha](#ImageRemoveAlpha) node add optional mask input.
 * Commit [HLFrequencyDetailRestore](#HLFrequencyDetailRestore) node, Using low-frequency filtering and high-frequency preserving to restore image details, the fusion is better.
 * Commit [AddGrain](#AddGrain) and [MaskGrain](#MaskGrain) nodes, Add noise to a picture or mask.
@@ -1224,6 +1225,15 @@ layer_iamge: Find the layer output.
 all_layers: Batch images containing all layers.
 
 
+### <a id="table1">SD3NegativeConditioning</a>
+![image](image/sd3_negative_conditioning_node_note.jpg) 
+Encapsulate the four nodes of Negative Condition in SD3 into a separate node.
+
+Node Options: 
+![image](image/sd3_negative_conditioning_node.jpg) 
+* zero_out_start: Set the ConditioningSetTimestepRange start value for Negative ConditioningZeroOut, which is the same as the ConditioningSetTimestepRange end value for Negative.
+
+
 # <a id="table1">LayerMask</a>
 ![image](image/layermask_nodes.jpg) 
 

README_CN.MD

@@ -80,6 +80,7 @@ git clone https://github.com/chflame163/ComfyUI_LayerStyle.git
 ## 更新说明
 <font size="4">**如果本插件更新后出现依赖包错误，请重新安装相关依赖包。
 
+* 添加 [SD3NegativeConditioning](#SD3NegativeConditioning) 节点, 把SD3的Negative Conditioning 的4个节点封装为一个单独节点。
 * [ImageRemoveAlpha](#ImageRemoveAlpha) 节点增加mask可选输入。
 * 添加 [HLFrequencyDetailRestore](#HLFrequencyDetailRestore)节点, 使用低频滤波加保留高频来恢复图像细节，图像融合性更好。
 * 添加 [AddGrain](#AddGrain) 和 [MaskGrain](#MaskGrain) 节点, 为图片或遮罩添加噪声。
@@ -1207,6 +1208,14 @@ flat_image: psd预览图。
 layer_iamge: 查找的图层输出。
 all_layers: 包含全部图层的批量图片。
 
+### <a id="table1">SD3NegativeConditioning</a>
+![image](image/sd3_negative_conditioning_node_note.jpg) 
+把SD3的Negative Conditioning 的4个节点封装为一个单独节点。
+
+节点选项说明: 
+![image](image/sd3_negative_conditioning_node.jpg) 
+* zero_out_start: 设置Negative ConditioningZeroOut的ConditioningSetTimestepRange start值, 此数值与Negative的ConditioningSetTimestepRange end值相同。
+
 
 # <a id="table1">LayerMask</a>
 ![image](image/layermask_nodes.jpg) 

py/sd3_negative_conditioning.py

@@ -0,0 +1,48 @@
+import torch
+import node_helpers
+
+NODE_NAME = 'SD3NegativeConditioning'
+
+class SD3NegativeConditioning:
+
+ @classmethod
+ def INPUT_TYPES(self):
+ return {"required": {"conditioning": ("CONDITIONING", ),
+ "zero_out_start": ("FLOAT", {"default": 0.1, "min": 0.0, "max": 1.0, "step": 0.001}),
+ }}
+
+ RETURN_TYPES = ("CONDITIONING",)
+ FUNCTION = 'sd3_negative_conditioning'
+ CATEGORY = '😺dzNodes/LayerUtility/SystemIO'
+
+ def sd3_negative_conditioning(self, conditioning, zero_out_start):
+ def zero_out(conditioning):
+ c = []
+ for t in conditioning:
+ d = t[1].copy()
+ if "pooled_output" in d:
+ d["pooled_output"] = torch.zeros_like(d["pooled_output"])
+ n = [torch.zeros_like(t[0]), d]
+ c.append(n)
+ return c
+
+ def set_range(conditioning, start, end):
+ c = node_helpers.conditioning_set_values(conditioning, {"start_percent": start,
+ "end_percent": end})
+ return c
+
+ zero_out_c = zero_out(conditioning)
+ c_1 = set_range(zero_out_c, zero_out_start, 1.0)
+ c_2 = set_range(conditioning, 0.0, zero_out_start)
+ return (c_1 + c_2,)
+
+
+
+
+NODE_CLASS_MAPPINGS = {
+ "LayerUtility: SD3NegativeConditioning": SD3NegativeConditioning
+}
+
+NODE_DISPLAY_NAME_MAPPINGS = {
+ "LayerUtility: SD3NegativeConditioning": "LayerUtility: SD3 Negative Conditioning"
+}

pyproject.toml

@@ -1,7 +1,7 @@
 [project]
 name = "comfyui_layerstyle"
 description = "A set of nodes for ComfyUI it generate image like Adobe Photoshop's Layer Style. the Drop Shadow is first completed node, and follow-up work is in progress."
-version = "1.0.5"
+version = "1.0.6"
 license = "MIT"
 dependencies = ["numpy", "pillow", "torch", "matplotlib", "Scipy", "scikit_image", "opencv-contrib-python", "pymatting", "segment_anything", "timm", "addict", "yapf", "colour-science", "wget", "mediapipe", "loguru", "typer_config", "fastapi", "rich", "google-generativeai", "diffusers", "omegaconf", "tqdm", "transformers", "kornia", "image-reward", "ultralytics", "blend_modes", "blind-watermark", "qrcode", "pyzbar", "psd-tools"]