SDXL Inpaint
This model is capable of generating photo-realistic images given any text input, with the extra capability of inpainting the pictures by using a mask
1import requests
2import json
3
4url = "https://api.segmind.com/v1/sdxl-inpaint"
5headers = {
6 "x-api-key": "YOUR_API_KEY",
7 "Content-Type": "application/json"
8}
9
10data = {
11 "image": "https://segmind-sd-models.s3.amazonaws.com/outputs/sdxl_inpaint.jpeg",
12 "mask": "https://segmind-sd-models.s3.amazonaws.com/outputs/sdxl_inpaint_mask.png",
13 "prompt": "A man with black sun glasses",
14 "negative_prompt": "bad quality, painting, blur",
15 "samples": 1,
16 "scheduler": "DDIM",
17 "num_inference_steps": 25,
18 "guidance_scale": 7.5,
19 "seed": 12467,
20 "strength": 0.9,
21 "base64": false
22}
23
24response = requests.post(url, headers=headers, json=data)
25
26if response.status_code == 200:
27 result = response.json()
28 print(json.dumps(result, indent=2))
29else:
30 print(f"Error: {response.status_code}")
31 print(response.text)
1import requests
2import json
3
4url = "https://api.segmind.com/v1/sdxl-inpaint"
5headers = {
6 "x-api-key": "YOUR_API_KEY",
7 "Content-Type": "application/json"
8}
9
10data = {
11 "image": "https://segmind-sd-models.s3.amazonaws.com/outputs/sdxl_inpaint.jpeg",
12 "mask": "https://segmind-sd-models.s3.amazonaws.com/outputs/sdxl_inpaint_mask.png",
13 "prompt": "A man with black sun glasses",
14 "negative_prompt": "bad quality, painting, blur",
15 "samples": 1,
16 "scheduler": "DDIM",
17 "num_inference_steps": 25,
18 "guidance_scale": 7.5,
19 "seed": 12467,
20 "strength": 0.9,
21 "base64": false
22}
23
24response = requests.post(url, headers=headers, json=data)
25
26if response.status_code == 200:
27 result = response.json()
28 print(json.dumps(result, indent=2))
29else:
30 print(f"Error: {response.status_code}")
31 print(response.text)
API Endpoint
https://api.segmind.com/v1/sdxl-inpaint
Parameters
image
requiredstring (uri)
Input Image.
mask
requiredstring (uri)
Mask Image
prompt
requiredstring
Prompt to render
base64
optionalboolean
Base64 encoding of the output image.
false
guidance_scale
optionalnumber
Scale for classifier-free guidance
7.5
Range: 1 - 25negative_prompt
optionalstring
Prompts to exclude, eg. 'bad anatomy, bad hands, missing fingers'
num_inference_steps
optionalinteger
Number of denoising steps.
25
Range: 20 - 100samples
optionalinteger
Number of samples to generate.
1
Range: 1 - 4scheduler
optionalstring
Type of scheduler.
"DPM2 Karras"
"DDIM"
"DPM Multi"
"DPM Single"
"Euler a"
"Euler"
"Heun"
"DPM2 a Karras"
"DPM2 Karras"
"LMS"
"PNDM"
+2 moreseed
optionalinteger
Seed for image generation.
-1
Range: -1 - 999999999999999strength
optionalnumber
Scale for classifier-free guidance
7.5
Range: 0 - 0.99Response Type
Returns: Media File
Common Error Codes
The API returns standard HTTP status codes. Detailed error messages are provided in the response body.
Bad Request
Invalid parameters or request format
Unauthorized
Missing or invalid API key
Forbidden
Insufficient permissions
Not Found
Model or endpoint not found
Insufficient Credits
Not enough credits to process request
Rate Limited
Too many requests
Server Error
Internal server error
Bad Gateway
Service temporarily unavailable
Timeout
Request timed out