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Illusion Diffusion

Create illusions conditioned on image.

Input

Fields marked * are required. Review the price before generating.

Input image url.

Uploading a file needs an account. Create accountJPEG, PNG, WebP · up to 25 MB

The prompt to use for generating the image. Be as descriptive as possible for best results.

The size of the generated image. You can choose between some presets or custom height and width that **must be multiples of 8**.

Additional settings
Tips and requirements

The negative prompt to use. Use it to address details that you don't want in the image. This could be colors, objects, scenery and even the small details (e.g. moustache, blurry, low resolution).

Tips and requirements

The CFG (Classifier Free Guidance) scale is a measure of how close you want the model to stick to your prompt when looking for a related image to show you.

The scale of the ControlNet.

Tips and requirements

Seed of the generated Image. It will be the same value of the one passed in the input or the randomly generated that was used in case none was passed.

Scheduler / sampler to use for the image denoising process.

Tips and requirements

Increasing the amount of steps tells Stable Diffusion that it should take more steps to generate your final result which can increase the amount of detail in your image.

Price$0.60 / run

You sign up first. Your settings are kept.

API code for this input

Complete the required fields and fix input errors to see API code.

How to use Illusion Diffusion

Getting started

Build a scene around a reference pattern with Illusion Diffusion. Choose a readable pattern before describing the scene that should contain it.

Review your result

Check whether both the pattern and the surrounding scene remain readable at the intended display size.

Inputs and settings

Send image_url and prompt; controlnet_conditioning_scale controls the reference influence.

Use control_guidance_start and control_guidance_end to set the conditioning interval; keep seed fixed when comparing.

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