SDXL Turbo workflow with different upscale options - UPDATE: Added Face Detailing
created a year ago
img2img
ipadapter
upscale
face
113 nodes
7.5k
2.4k
Outputs



Description
Added Face Detailing workflow
Built-in nodes
Custom nodes
EmptyLatentImage
LoadImage
GlobalSeed //Inspire
KSampler
VAEDecode
IPAdapterModelLoader
CLIPVisionLoader
PreviewImage
CheckpointLoaderSimple
PatchModelAddDownscale
ConditioningConcat
CLIPTextEncode
LatentUpscaleBy
KSampler (Efficient)
VAELoader
ImageUpscaleWithModel
UpscaleModelLoader
ImageCrop+
UltimateSDUpscale
SAMLoader
BLIP Model Loader
ShowText|pysssss
BLIP Analyze Image
MaskToImage
MediaPipeFaceMeshDetectorProvider //Inspire
Masks Subtract
ToBinaryMask
DetailerPipeToBasicPipe
EditBasicPipe
ReroutePrimitive|pysssss
FromBasicPipe
ImageScaleBy
VAEEncodeTiled
VAEDecodeTiled
EditDetailerPipe
FaceDetailerPipe
CLIPSeg Masking
Mask Threshold Region
MaskBlur+
CLIPSeg Model Loader
ImpactDilateMask
MaskToSEGS
DetailerForEachDebugPipe
CR Simple Image Compare
ToDetailerPipe
Models