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tstramer/material-diffusion
Stable diffusion fork for generating tileable outputs using v1.5 model
Capabilities
Cost
Community model (estimated from hardware time)
Input Parameters
| Name | Type | Description | Default | Constraints |
|---|---|---|---|---|
guidance_scale | number | Scale for classifier-free guidance | 7.5 | min: 1, max: 20 |
height | integer | Height of output image. Maximum size is 1024x768 or 768x1024 because of memory limits | 512 | 128 256 384 448 512 576 640 704 768 832 896 960 1024 |
init_image | string (uri) | Inital image to generate variations of. Will be resized to the specified width and height | — | — |
mask | string (uri) | 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. | — | — |
num_inference_steps | integer | Number of denoising steps | 50 | min: 1, max: 500 |
num_outputs | integer | Number of images to output. If the NSFW filter is triggered, you may get fewer outputs than this. | 1 | min: 1, max: 10 |
prompt | string | Input prompt | "" | — |
prompt_strength | number | Prompt strength when using init image. 1.0 corresponds to full destruction of information in init image | 0.8 | — |
scheduler | string | Choose a scheduler. If you use an init image, PNDM will be used | "K-LMS" | DDIM K-LMS PNDM |
seed | integer | Random seed. Leave blank to randomize the seed | — | — |
width | integer | Width of output image. Maximum size is 1024x768 or 768x1024 because of memory limits | 512 | 128 256 384 448 512 576 640 704 768 832 896 960 1024 |
guidance_scale number Scale for classifier-free guidance
7.5 min: 1, max: 20 height integer Height of output image. Maximum size is 1024x768 or 768x1024 because of memory limits
512 init_image string Inital image to generate variations of. Will be resized to the specified width and height
mask string 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.
num_inference_steps integer Number of denoising steps
50 min: 1, max: 500 num_outputs integer Number of images to output. If the NSFW filter is triggered, you may get fewer outputs than this.
1 min: 1, max: 10 prompt string Input prompt
"" prompt_strength number Prompt strength when using init image. 1.0 corresponds to full destruction of information in init image
0.8 scheduler string Choose a scheduler. If you use an init image, PNDM will be used
"K-LMS" seed integer Random seed. Leave blank to randomize the seed
width integer Width of output image. Maximum size is 1024x768 or 768x1024 because of memory limits
512 a42692c54c0f Updated: 6/8/2026 2.4M runs