Generate an image from a text description, while matching the structure of a given image
powered by Stable Diffusion / ControlNet AI
(CreativeML Open RAIL-M)
PromptDescribe how the final image should look like
Control modelWhat type of structure should be extracted from the control image?
ModelThe AI used to generate the image.
DreamShaper 8 (general)
CountNumber of images to generate
LoRAChoose extension models
ResolutionChoose image resolution
Control scaleHow much should the control image influence the result? 0% = no influence, 100% = full influence.
Control preprocessShould the control image be preprocessed? If disabled, the control image will be used as-is and is assumed to already be in the correct format.
Negative promptDescribe what you DON'T want in the generated image
GuidanceAdjusts how much the AI tries to fit the prompt (higher = stricter, lower = more freedom). The sweet spot is between 6-10, extreme values may produce more artifacts.
StepsNumber of sampling steps. More steps = more details but also longer computation time.
SamplerDefines the sampling method used to generate the image.
SeedUnique image seed number. If not provided, the image will be random.
UpscaleUpscale the image by this factor using the Real-ESRGAN model. Currently only a factor of 2 is supported.
FormatThe encoding format of the generated image.
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