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Powered by
ThinkDiffusion

Image to Image with Flux ControlNet

Transform your images into something completely new, yet retaining specific details and composition from your original using flexible controls. Key Inputs Image reference: Use any JPG or PNG showing your subject clearly Prompt: as descriptive a prompt as possible Denoise Strength: The amount of variance in the new image. Higher has more variance. Width & height: Try and match the aspect ratio of the original if possible.

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Transform your images into something completely new, yet retaining specific details and composition from your original using flexible controls.

Key Inputs

Image reference: Use any JPG or PNG showing your subject clearly

Prompt: as descriptive a prompt as possible

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

Width & height: Try and match the aspect ratio of the original if possible.

Read more

N
Generates in about 2 mins 34 secs

Nodes & Models

VAELoader
UNETLoader
flux1-dev-fp8.safetensors
EmptyLatentImage
Note
DualCLIPLoader
clip_l.safetensors
t5xxl_fp8_e4m3fn.safetensors
LoadImage
CLIPTextEncodeFlux
PreviewImage
VAEDecode
SaveImage
Seed Everywhere
easy positive
LoadFluxControlNet
flux-depth-controlnet-v3.safetensors
ApplyFluxControlNet
XlabsSampler

Transform your images into something completely new, yet retaining specific details and composition from your original using flexible controls.

Key Inputs

Image reference: Use any JPG or PNG showing your subject clearly

Prompt: as descriptive a prompt as possible

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

Width & height: Try and match the aspect ratio of the original if possible.

Read more

N
FloYo: Image to Image with Flux ControlNet