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⚡️Nano Banana 2 ⚡️ just landed. Start creating now.
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ThinkDiffusion
⚡️Nano Banana 2 ⚡️ just landed. Start creating now.

Image to Image Character Sheet Face Swap with Ace+

Take a character sheet and use a reference image to replace all the faces with that new person. Key Inputs Load Image: Use any JPG or PNG showing your pose sheet Load New Face: Use any JPG or PNG showing your subject clearly that you would like to swap into the pose sheet. Prompt: as descriptive a prompt as possible Width & height: Optimal resolution settings are noted at 1024px x 1024px Keep Proportion: Enable keep_proportion if you want to keep the same size with input and output Denoise: The amount of variance in the new image. Higher has more variance.

481

Generates in about 8 mins 40 secs

Nodes & Models

DualCLIPLoader
clip_l.safetensors
t5xxl_fp16.safetensors
Label (rgthree)
Note
VAELoader
ae.safetensors
UNETLoader
flux1-fill-dev.safetensors
LoadImage
CLIPTextEncode
FluxGuidance
ConditioningZeroOut
MaskToImage
InvertMask
VAEEncode
VAEDecode
EmptyImage
ImageToMask
InpaintModelConditioning
KSampler
PreviewImage
ImageCrop
SaveImage
UltralyticsDetectorProvider
BboxDetectorSEGS
SegsToCombinedMask
ImpactDilateMaskInSEGS
ImpactGaussianBlurMask
ImpactSEGSToMaskList
TeaCache
MaskPreview+
ImageResize+
ImageListToBatch+
Cut By Mask
Paste By Mask
ResizeMask
ImageConcanate
ImageAndMaskPreview
ImageConcanate
ImageAndMaskPreview
AlphaChanelAddByMask
AlphaChanelAddByMask
FlattenByAlpha
LayerUtility: ImageBlendAdvance

Take a character sheet and use a reference image to replace all the faces with that new person.

Key Inputs

Load Image: Use any JPG or PNG showing your pose sheet

Load New Face: Use any JPG or PNG showing your subject clearly that you would like to swap into the pose sheet.

Prompt: as descriptive a prompt as possible

Width & height: Optimal resolution settings are noted at 1024px x 1024px

Keep Proportion: Enable keep_proportion if you want to keep the same size with input and output

Denoise: The amount of variance in the new image. Higher has more variance.

Read more

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