SDXL

SDXL is a text-to-image diffusion model capable of generating photo-realistic images given any text input. You can learn more about the model here.

You can generate images using SDXL by using the "Create Prediction - SDXL" workflow action.

It requires the following inputs:

Input	Type of Field	Description
Prompt	Text	The text prompt you're using to create the image(s)
Image	image	Input image for img2img or inpaint mode
Mask	mask	Input mask for inpaint mode. Black areas will be preserved, white areas will be inpainted.
Height	Number (integer)	The height of the image(s) you want to create
Width	Number (integer)	The width of the image(s) you want to create
Number of Outputs	Number (integer)	The number of images you want to create with each prediction. Must be between 1 and 4.
Negative Prompt	Text	Things you do NOT want to see in the output image(s)
# Inference Steps	Number (integer)	The number of denoising steps used in the prediction (minimum: 1; maximum: 500). In general, the more steps you use the more detailed the output. However, the more steps you use the longer it will take to generate the prediction.
Guidance Scale	Number (decimal)	Scale for classifier-free guidance (minimum: 1; maximum: 20)
Seed	Number (integer)	Random seed. Leave blank to randomize the seed
Scheduler	Text (list of pre-defined options)	The type of scheduler you want to use.
Prompt Strength	Number (decimal) between 0 and 1.0	Prompt strength when using img2img / inpaint. 1.0 corresponds to full destruction of information in image