Stable Diffusion Inpainting

Stable Diffusion Inpainting is a latent text-to-image diffusion model capable of generating photo-realistic images given any text input, with the extra capability of inpainting the pictures by using a mask

~2.88s

~$0.002

Playground API

Pricing

~2.88s

~$0.002

 1import requests
 2import json
 3
 4url = "https://api.segmind.com/v1/sd1.5-inpainting"
 5headers = {
 6    "x-api-key": "YOUR_API_KEY",
 7    "Content-Type": "application/json"
 8}
 9
10data = {
11    "prompt": "mecha robot sitting on a bench",
12    "negative_prompt": "Disfigured, cartoon, blurry, nude",
13    "samples": 1,
14    "image": "https://segmind.com/inpainting-input-image.jpeg",
15    "mask": "https://segmind.com/inpainting-input-mask.jpeg",
16    "scheduler": "DDIM",
17    "num_inference_steps": 25,
18    "guidance_scale": 7.5,
19    "strength": 1,
20    "seed": 17123564234,
21    "img_width": 512,
22    "img_height": 512
23}
24
25response = requests.post(url, headers=headers, json=data)
26
27if response.status_code == 200:
28    result = response.json()
29    print(json.dumps(result, indent=2))
30else:
31    print(f"Error: {response.status_code}")
32    print(response.text)

 1import requests
 2import json
 3
 4url = "https://api.segmind.com/v1/sd1.5-inpainting"
 5headers = {
 6    "x-api-key": "YOUR_API_KEY",
 7    "Content-Type": "application/json"
 8}
 9
10data = {
11    "prompt": "mecha robot sitting on a bench",
12    "negative_prompt": "Disfigured, cartoon, blurry, nude",
13    "samples": 1,
14    "image": "https://segmind.com/inpainting-input-image.jpeg",
15    "mask": "https://segmind.com/inpainting-input-mask.jpeg",
16    "scheduler": "DDIM",
17    "num_inference_steps": 25,
18    "guidance_scale": 7.5,
19    "strength": 1,
20    "seed": 17123564234,
21    "img_width": 512,
22    "img_height": 512
23}
24
25response = requests.post(url, headers=headers, json=data)
26
27if response.status_code == 200:
28    result = response.json()
29    print(json.dumps(result, indent=2))
30else:
31    print(f"Error: {response.status_code}")
32    print(response.text)

API Endpoint

POSThttps://api.segmind.com/v1/sd1.5-inpainting

Parameters

imagerequired

string (uri)

Input Image.

maskrequired

string (uri)

Mask Image

promptrequired

string

Prompt to render

guidance_scaleoptional

number

Scale for classifier-free guidance

Default: 7.5Range: 0.1 - 25

img_heightoptional

integer

Image resolution.

Default: 512

Allowed values :

512768

img_widthoptional

integer

Image resolution.

Default: 512

Allowed values :

512768

negative_promptoptional

string

Prompts to exclude, eg. 'bad anatomy, bad hands, missing fingers'

num_inference_stepsoptional

integer

Number of denoising steps.

Default: 20Range: 20 - 100

samplesoptional

integer

Number of samples to generate.

Default: 1Range: 1 - 4

scheduleroptional

string

Type of scheduler.

Default: "DDIM"

Allowed values (11 total):

"DDIM""DPM Multi""DPM Single""Euler a""Euler""Heun""DPM2 a Karras""DPM2 Karras""LMS""PNDM"+1 more

seedoptional

integer

Seed for image generation.

Default: -1

strengthoptional

number

How much to transform the reference image

Default: 1Range: 0.1 - 1

Response Type

Returns: Media File

Common Error Codes

The API returns standard HTTP status codes. Detailed error messages are provided in the response body.

400

Bad Request

Invalid parameters or request format

401

Unauthorized

Missing or invalid API key

403

Forbidden

Insufficient permissions

404

Not Found

Model or endpoint not found

406

Insufficient Credits

Not enough credits to process request

429

Rate Limited

Too many requests

500

Server Error

Internal server error

502

Bad Gateway

Service temporarily unavailable

504

Timeout

Request timed out