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
example image output 0 for workflow.
example image output 1 for workflow.
example image output optimized_comfy_workflows_user_uploads/33688a59-b872-4a11-897b-e9dec70c2045/assets/ComfyUI_temp_mpsjr_00002_.webp for workflow.
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
4
0
11
0