IP-adapter Depth XL
IP Adapter Depth XL is built on the SDXL framework. This model integrates the IP Adapter and Depth preprocessor to offer unparalleled control and guidance in creating context-rich images.
1import requests
2import json
3
4url = "https://api.segmind.com/v1/ip-sdxl-depth"
5headers = {
6 "x-api-key": "YOUR_API_KEY",
7 "Content-Type": "application/json"
8}
9
10data = {
11 "prompt": "living room",
12 "negative_prompt": "lowquality, badquality, sketches",
13 "samples": 1,
14 "scheduler": "Euler a",
15 "num_inference_steps": 25,
16 "guidance_scale": 7,
17 "seed": 56433128,
18 "controlnet_scale": 1,
19 "ip_adapter_scale": 0.7,
20 "strength": 1,
21 "base64": false,
22 "input_image": "https://segmind-sd-models.s3.amazonaws.com/outputs/depth_img_input.jpg",
23 "ip_image": "https://segmind-sd-models.s3.amazonaws.com/outputs/depth_ip_input.jpg"
24}
25
26response = requests.post(url, headers=headers, json=data)
27
28if response.status_code == 200:
29 result = response.json()
30 print(json.dumps(result, indent=2))
31else:
32 print(f"Error: {response.status_code}")
33 print(response.text) 1import requests
2import json
3
4url = "https://api.segmind.com/v1/ip-sdxl-depth"
5headers = {
6 "x-api-key": "YOUR_API_KEY",
7 "Content-Type": "application/json"
8}
9
10data = {
11 "prompt": "living room",
12 "negative_prompt": "lowquality, badquality, sketches",
13 "samples": 1,
14 "scheduler": "Euler a",
15 "num_inference_steps": 25,
16 "guidance_scale": 7,
17 "seed": 56433128,
18 "controlnet_scale": 1,
19 "ip_adapter_scale": 0.7,
20 "strength": 1,
21 "base64": false,
22 "input_image": "https://segmind-sd-models.s3.amazonaws.com/outputs/depth_img_input.jpg",
23 "ip_image": "https://segmind-sd-models.s3.amazonaws.com/outputs/depth_ip_input.jpg"
24}
25
26response = requests.post(url, headers=headers, json=data)
27
28if response.status_code == 200:
29 result = response.json()
30 print(json.dumps(result, indent=2))
31else:
32 print(f"Error: {response.status_code}")
33 print(response.text)API Endpoint
https://api.segmind.com/v1/ip-sdxl-depthParameters
input_imagerequiredstring (uri)Input Image
ip_imagerequiredstring (uri)Ip Image
promptrequiredstringPrompt to render
base64optionalbooleanBase64 encoding of the output image.
falsecontrolnet_scaleoptionalnumberScale for classifier-free guidance
1Range: 0 - 1guidance_scaleoptionalnumberScale for classifier-free guidance
7.5Range: 1 - 25ip_adapter_scaleoptionalnumberScale for classifier-free guidance
0.7Range: 0 - 1negative_promptoptionalstringPrompts to exclude, eg. 'bad anatomy, bad hands, missing fingers'
num_inference_stepsoptionalintegerNumber of denoising steps.
25Range: 20 - 100samplesoptionalintegerNumber of samples to generate.
1Range: 1 - 4scheduleroptionalstringType of scheduler.
"DPM2 Karras""DDIM""DPM Multi""DPM Single""Euler a""Euler""Heun""DPM2 a Karras""DPM2 Karras""LMS""PNDM"+2 moreseedoptionalintegerSeed for image generation.
-1Range: -1 - 999999999999999strengthoptionalnumberScale for classifier-free guidance
1Range: 0 - 1Response Type
Returns: Image
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