tstramer/material-diffusion

Stable diffusion fork for generating tileable outputs using v1.5 model

Input
Configure the inputs for the AI model.

Black and white image to use as mask for inpainting over init_image. Black pixels are inpainted and white pixels are preserved. Tends to work better with prompt strength of 0.5-0.7. Consider using https://replicate.com/andreasjansson/stable-diffusion-inpainting instead.

Random seed. Leave blank to randomize the seed

Width of output image. Maximum size is 1024x768 or 768x1024 because of memory limits

Height of output image. Maximum size is 1024x768 or 768x1024 because of memory limits

Input prompt

Choose a scheduler. If you use an init image, PNDM will be used

Inital image to generate variations of. Will be resized to the specified width and height

1
10

Number of images to output. If the NSFW filter is triggered, you may get fewer outputs than this.

1
20

Scale for classifier-free guidance

Prompt strength when using init image. 1.0 corresponds to full destruction of information in init image

1
500

Number of denoising steps

Output
The generated output will appear here.

No output yet

Click "Generate" to create an output.

material-diffusion - ikalos.ai