简介
本工作流仅需要一张初始图片,使用DifferentialDiffusion及KSampler Gradually Adding More Denoise,产生keyframe,透过Denoise的强度变化,Mask范围会逐渐被侵蚀,最后转换为目标图片。工作流可产生八张图片,将Denoise的画面分成前中后三个区段,每个区段为三格,使用Switch选择需要的部分输入Toon。
工作流节点截图
附件文件一览
内置节点
Anything Everywhere3
Fast Groups Bypasser (rgthree)
Note
ToonCrafterInterpolation
自定义节点
ComfyUI
– VAEDecode
– VAELoader
– CLIPTextEncode
– UpscaleModelLoader
– ImageUpscaleWithModel
– LoadImage
– FreeU_V2
– DifferentialDiffusion
– InpaintModelConditioning
– ControlNetLoader
– LatentFromBatch
– PreviewImage
ComfyUI Essentials
– ImageCASharpening+
ComfyUI Frame Interpolation
– RIFE VFI
– KSampler Gradually Adding More Denoise (efficient)
ComfyUI Impact Pack
– ImpactMakeImageBatch
– ImpactSwitch
ComfyUI Inspire Pack
– ImageBatchSplitter //Inspire
ComfyUI Layer Style
– LayerMask: SegmentAnythingUltra
ComfyUI Nodes for Inference.Core
– MiDaS-DepthMapPreprocessor
ComfyUI-Advanced-ControlNet
– ACN_AdvancedControlNetApply
– ScaledSoftControlNetWeights
ComfyUI-VideoHelperSuite
– VHS_VideoCombine
Efficiency Nodes for ComfyUI Version 2.0+
– Efficient Loader
Save Image with Generation Metadata
– String Literal
Various ComfyUI Nodes by Type
– JWImageResizeByLongerSide
2.某些节点可能过于老旧或被弃用,建议把同类节点升级或尽量使用新日期的 工作流节点。
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