awesome-genmedia Stable Diffusion Inpainting
Edit and fill parts of images using masks and text prompts with Stable Diffusion. Specify areas to regenerate with a black-and-white mask and guide the generation with a text prompt.
Quick Start
Requires an each::labs API key. Get one at eachlabs.ai.
curl -X POST https://api.eachlabs.ai/v1/prediction \
-H "Content-Type: application/json" \
-H "X-API-Key: $EACHLABS_API_KEY" \
-d '{
"model": "stable-diffusion-inpainting",
"version": "0.0.1",
"input": {
"prompt": "a beautiful garden with colorful flowers and butterflies",
"image": "https://example.com/backyard.jpg",
"mask": "https://example.com/mask.jpg",
"guidance_scale": 7.5,
"num_inference_steps": 50
}
}'
Parameters
| Parameter | Type | Default | Description |
|---|---|---|---|
| disable_safety_checker | boolean | false | Disable safety checker for generated images |
| guidance_scale | number | 7.5 | Scale for classifier-free guidance |
| height | integer | 512 | Output image height |
| image | string | - | Initial image to generate variations of. Will be resized to height x width |
| mask | string | - | Black and white mask image. White areas are inpainted |
| negative_prompt | string | - | Specify things to not see in the output |
| num_inference_steps | integer | 50 | Number of denoising steps |
| num_outputs | integer | 1 | Number of images to generate |
| prompt | string | a vision of paradise. unreal engine | Input prompt |
| scheduler | string | DPMSolverMultistep | Scheduler. enum: DDIM, K_EULER, DPMSolverMultistep, K_EULER_ANCESTRAL, PNDM, KLMS |
| seed | integer | - | Random seed. Leave blank to randomize |
| width | integer | 512 | Output image width |
Examples
Object removal and replacement:
curl -X POST https://api.eachlabs.ai/v1/prediction \
-H "Content-Type: application/json" \
-H "X-API-Key: $EACHLABS_API_KEY" \
-d '{
"model": "stable-diffusion-inpainting",
"version": "0.0.1",
"input": {
"prompt": "a clean wooden desk with a laptop and a cup of coffee, office background",
"image": "https://example.com/messy-desk.jpg",
"mask": "https://example.com/desk-mask.jpg",
"negative_prompt": "blurry, low quality, distorted",
"guidance_scale": 8,
"num_inference_steps": 50,
"scheduler": "K_EULER"
}
}'
Multiple inpainting outputs:
curl -X POST https://api.eachlabs.ai/v1/prediction \
-H "Content-Type: application/json" \
-H "X-API-Key: $EACHLABS_API_KEY" \
-d '{
"model": "stable-diffusion-inpainting",
"version": "0.0.1",
"input": {
"prompt": "a cute orange tabby cat sitting on a windowsill",
"image": "https://example.com/window.jpg",
"mask": "https://example.com/windowsill-mask.jpg",
"num_outputs": 3,
"guidance_scale": 7.5,
"num_inference_steps": 40,
"seed": 42
}
}'
Related Models
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- sdxl-ad-inpaint - SDXL ad product inpainting