

Identify and optimize prompt words through LLM
Extract style and subject very accurately to achieve style transfer
Part of the implementation refers to this workflow
https://openart.ai/workflows/reverentelusarca/style-transfer-to-main-subject-while-preserving-the-background-no-inpaint-required/pXwP3HcwStdCFzKPisnR
Benjamin
2024-10-10 Update
Follow
Benjamin
2024-10-10 Update
Follow
Workflow introduction
Identify and optimize prompt words through LLM
Extract style and subject very accurately to achieve style transfer
Part of the implementation refers to this workflow
https://openart.ai/workflows/reverentelusarca/style-transfer-to-main-subject-while-preserving-the-background-no-inpaint-required/pXwP3HcwStdCFzKPisnR
Nodes Information
23
CLIPTextEncode
CheckpointLoaderSimple
ControlNetApplyAdvanced
ControlNetLoader
EmptyLatentImage
KSampler
LoadImage
LoraLoader
PreviewImage
SaveImage
VAEDecode
VAEEncodeForInpaint
AlphaChanelAsMask
AnyLinePreprocessor
IPAdapterAdvanced
IPAdapterUnifiedLoader
InvertMask
Label (rgthree)
MiniCPM_VQA_Polished
RH_Prompter
ShowText|pysssss
easy imageRemBg
easy promptConcat