ControlNet Soft Edge
This model corresponds to the ControlNet conditioned on Soft Edge.
~3.63s
~$0.003
1import requests
2import json
3
4url = "https://api.segmind.com/v1/sd1.5-controlnet-softedge"
5headers = {
6 "x-api-key": "YOUR_API_KEY",
7 "Content-Type": "application/json"
8}
9
10data = {
11 "image": "https://segmind.com/soft-edge-input.jpeg",
12 "samples": 1,
13 "prompt": "royal chamber with fancy bed",
14 "negative_prompt": "Disfigured, cartoon, blurry, nude",
15 "scheduler": "UniPC",
16 "num_inference_steps": 25,
17 "guidance_scale": 7.5,
18 "strength": 1,
19 "seed": 131487365682,
20 "base64": false
21}
22
23response = requests.post(url, headers=headers, json=data)
24
25if response.status_code == 200:
26 result = response.json()
27 print(json.dumps(result, indent=2))
28else:
29 print(f"Error: {response.status_code}")
30 print(response.text) 1import requests
2import json
3
4url = "https://api.segmind.com/v1/sd1.5-controlnet-softedge"
5headers = {
6 "x-api-key": "YOUR_API_KEY",
7 "Content-Type": "application/json"
8}
9
10data = {
11 "image": "https://segmind.com/soft-edge-input.jpeg",
12 "samples": 1,
13 "prompt": "royal chamber with fancy bed",
14 "negative_prompt": "Disfigured, cartoon, blurry, nude",
15 "scheduler": "UniPC",
16 "num_inference_steps": 25,
17 "guidance_scale": 7.5,
18 "strength": 1,
19 "seed": 131487365682,
20 "base64": false
21}
22
23response = requests.post(url, headers=headers, json=data)
24
25if response.status_code == 200:
26 result = response.json()
27 print(json.dumps(result, indent=2))
28else:
29 print(f"Error: {response.status_code}")
30 print(response.text)API Endpoint
POST
https://api.segmind.com/v1/sd1.5-controlnet-softedgeParameters
imagerequiredstring (uri)Input Image
promptrequiredstringPrompt to render
base64optionalbooleanBase64 encoding of the output image.
Default:
falseguidance_scaleoptionalnumberScale for classifier-free guidance
Default:
7.5Range: 0.1 - 25negative_promptoptionalstringPrompts to exclude, eg. 'bad anatomy, bad hands, missing fingers'
num_inference_stepsoptionalintegerNumber of denoising steps.
Default:
20Range: 20 - 100samplesoptionalintegerNumber of samples to generate.
Default:
1Range: 1 - 4scheduleroptionalstringType of scheduler.
Default:
"UniPC"Allowed values (12 total):
"UniPC""Euler a""DDIM""DPM Multi""DPM Single""Euler""Heun""DPM2 a Karras""DPM2 Karras""LMS"+2 moreseedoptionalintegerSeed for image generation.
Default:
-1strengthoptionalnumberHow much to transform the reference image
Default:
1Range: 0.1 - 1Response Type
Returns: Image
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