Stable Diffusion is a pioneering, deep learning text-to-image model. It is primarily used to generate detailed images based on text descriptions. The Stability node integrates Stable Diffusion models directly in Silhouette. Inpaint, outpaint or generate images from scratch using text prompts.

Image.

Go to the Stability tutorial to see how it works.

Generates an image based on a text prompt. An input image is not required, but when present, acts as an additional prompt.

Creates an image inside the alpha.

Creates an image outside the alpha.

Choose the Stability model version.

Enter a text prompt to produce an image. For more information on prompts, see the Prompt Guide.

The amount of remaining credits in your DreamStudio account are displayed once you press Generate.

Generates the images from text, inpaints or outpaints.

Composites the result using the source alpha and is useful if you need to blur the alpha’s edge. This is only available in the Inpaint and Outpaint modes.

Automatically sets the Max Size based on the session size. For sessions larger than 1024 pixels, the image is scaled down to the to 1024 limit and the result is scaled back up to the session size.

The size is set to 512 x 512 pixels.

The size is set to 768 x 768 pixels.

The size is set to 1024 x 1024 pixels. Currently, this is the maximum size.

How much the prompt influences the result.

If an input image is present, determines how much the image influences the result.

The more steps, the higher the quality. Lower steps generate more quickly and cost less, but if they are lowered too much, image quality will suffer. Higher steps cost more and take longer to generate, but produce more detailed results. The improved quality becomes less drastic as the step value increases.

Iterates and randomizes the existing result. Using the same seed produces the same result.

How many images to generate.

Displays the generated images.

Select one or more images, right-click and choose Delete.