tommoore515/material_stable_diffusion 🖼️🔢❓📝 → 🖼️

▶️ 390.0K runs 📅 Sep 2022 ⚙️ Cog 0.4.2 🔗 GitHub ⚖️ License
image-to-image text-to-image texture-generation tileable-textures

About

Stable diffusion fork for generating tileable outputs

Example Output

Prompt:

"Mossy Runic Bricks seamless texture, trending on artstation, stone, moss, base color, albedo, 4k"

Output

Example output

Performance Metrics

15.04s Prediction Time
15.23s Total Time
All Input Parameters 
{
  "width": 512,
  "height": 512,
  "prompt": "Mossy Runic Bricks seamless texture, trending on artstation, stone, moss, base color, albedo, 4k",
  "num_outputs": 1,
  "guidance_scale": 7.5,
  "prompt_strength": 0.8,
  "num_inference_steps": 50
}
Input Parameters
mask Type: string
Black and white image to use as mask for inpainting over init_image. Black pixels are inpainted and white pixels are preserved. Experimental feature, tends to work better with prompt strength of 0.5-0.7
seed Type: integer
Random seed. Leave blank to randomize the seed
width Default: 512
Width of output image. Maximum size is 1024x768 or 768x1024 because of memory limits
height Default: 512
Height of output image. Maximum size is 1024x768 or 768x1024 because of memory limits
prompt Type: stringDefault:
Input prompt
init_image Type: string
Inital image to generate variations of. Will be resized to the specified width and height
num_outputs Default: 1
Number of images to output
guidance_scale Type: numberDefault: 7.5Range: 1 - 20
Scale for classifier-free guidance
prompt_strength Type: numberDefault: 0.8
Prompt strength when using init image. 1.0 corresponds to full destruction of information in init image
num_inference_steps Type: integerDefault: 50Range: 1 - 500
Number of denoising steps
Output Schema

Output

Type: array • Items Type: string • Items Format: uri

Example Execution Logs 
Using seed: 46183

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Version Details
Version ID
3b5c0242f8925a4ab6c79b4c51e9b4ce6374e9b07b5e8461d89e692fd0faa449
Version Created
September 22, 2022
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