AI Product Photo Editor
AI Product Photo Editor leverages advanced image-based ML techniques to generate high-quality product visuals using text prompts, product images, and background images.
1import requests
2import json
3
4url = "https://api.segmind.com/v1/ai-product-photo-editor"
5headers = {
6 "x-api-key": "YOUR_API_KEY",
7 "Content-Type": "application/json"
8}
9
10data = {
11 "product_image": "https://segmind-sd-models.s3.amazonaws.com/display_images/ppv3-test/main-ip.jpeg",
12 "background_image": "https://segmind-sd-models.s3.amazonaws.com/display_images/ppv3-test/bg6.png",
13 "prompt": "photo of a mixer grinder in modern kitchen",
14 "negative_prompt": "illustration, bokeh, low resolution, bad anatomy, painting, drawing, cartoon, bad quality, low quality",
15 "num_inference_steps": 21,
16 "guidance_scale": 6,
17 "seed": 2566965,
18 "sampler": "dpmpp_3m_sde_gpu",
19 "scheduler": "karras",
20 "samples": 1,
21 "ipa_weight": 0.3,
22 "ipa_weight_type": "linear",
23 "ipa_start": 0,
24 "ipa_end": 0.5,
25 "ipa_embeds_scaling": "V only",
26 "cn_strenght": 0.85,
27 "cn_start": 0,
28 "cn_end": 0.8,
29 "dilation": 10,
30 "mask_threshold": 220,
31 "gaussblur_radius": 8,
32 "base64": false
33}
34
35response = requests.post(url, headers=headers, json=data)
36
37if response.status_code == 200:
38 result = response.json()
39 print(json.dumps(result, indent=2))
40else:
41 print(f"Error: {response.status_code}")
42 print(response.text) 1import requests
2import json
3
4url = "https://api.segmind.com/v1/ai-product-photo-editor"
5headers = {
6 "x-api-key": "YOUR_API_KEY",
7 "Content-Type": "application/json"
8}
9
10data = {
11 "product_image": "https://segmind-sd-models.s3.amazonaws.com/display_images/ppv3-test/main-ip.jpeg",
12 "background_image": "https://segmind-sd-models.s3.amazonaws.com/display_images/ppv3-test/bg6.png",
13 "prompt": "photo of a mixer grinder in modern kitchen",
14 "negative_prompt": "illustration, bokeh, low resolution, bad anatomy, painting, drawing, cartoon, bad quality, low quality",
15 "num_inference_steps": 21,
16 "guidance_scale": 6,
17 "seed": 2566965,
18 "sampler": "dpmpp_3m_sde_gpu",
19 "scheduler": "karras",
20 "samples": 1,
21 "ipa_weight": 0.3,
22 "ipa_weight_type": "linear",
23 "ipa_start": 0,
24 "ipa_end": 0.5,
25 "ipa_embeds_scaling": "V only",
26 "cn_strenght": 0.85,
27 "cn_start": 0,
28 "cn_end": 0.8,
29 "dilation": 10,
30 "mask_threshold": 220,
31 "gaussblur_radius": 8,
32 "base64": false
33}
34
35response = requests.post(url, headers=headers, json=data)
36
37if response.status_code == 200:
38 result = response.json()
39 print(json.dumps(result, indent=2))
40else:
41 print(f"Error: {response.status_code}")
42 print(response.text)API Endpoint
https://api.segmind.com/v1/ai-product-photo-editorParameters
background_imagerequiredstring (uri)Background Reference Image
"https://segmind-sd-models.s3.amazonaws.com/display_images/ppv3-test/bg6.png"num_inference_stepsrequiredintegerNumber of steps to generate image
21Range: 20 - 100product_imagerequiredstring (uri)Product Image
"https://segmind-sd-models.s3.amazonaws.com/display_images/ppv3-test/main-ip.jpeg"promptrequiredstringPrompt for image generation
"photo of a mixer grinder in modern kitchen"samplerrequiredstringSampler
"dpmpp_3m_sde_gpu""euler""euler_pp""euler_ancestral""euler_ancestral_pp""heun""heunpp2""dpm_2""dpm_2_ancestral""lms""dpm_fast"+17 morebase64optionalbooleanOutput as base64
falsecn_endoptionalnumberControlNet end value
0.8Range: 0 - 1cn_startoptionalnumberControlNet start value
0Range: 0 - 1cn_strenghtoptionalnumberControlNet strength
0.85Range: 0 - 2dilationoptionalintegerDilation value
10Range: -100 - 100gaussblur_radiusoptionalintegerGaussian blur radius
8Range: 0 - 20guidance_scaleoptionalnumberScale for classifier-free guidance
6Range: 0 - 10ipa_embeds_scalingoptionalstringIP Adapter embedding scaling
"V only""V only""K+V""K+V w/ C penalty""K+mean(V) w/ C penalty"ipa_endoptionalnumberIP Adapter end value
0.5Range: 0 - 1ipa_startoptionalnumberIP Adapter start value
0Range: 0 - 1ipa_weightoptionalnumberIP Adapter weight
0.3Range: 0 - 2ipa_weight_typeoptionalstringType of IP Adapter weight
"linear""linear""ease in""ease out""ease in-out""reverse in-out""weak input""weak output""weak middle""strong middle""style transfer"+4 moremask_thresholdoptionalintegerMask threshold value
220Range: 0 - 255negative_promptoptionalstringNegative prompt
"illustration, bokeh, low resolution, bad anatomy, painting, drawing, cartoon, bad quality, low quality"samplesoptionalintegerNumber of samples to generate
1scheduleroptionalstringScheduler
"karras""normal""karras""exponential""sgm_uniform""simple""ddim_uniform"seedoptionalintegerSeed number for image generation
2566965Response 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