Segmind-Vega
The Segmind-Vega Model is a distilled version of the Stable Diffusion XL (SDXL), offering a remarkable 70% reduction in size and an impressive 100% speedup while retaining high-quality text-to-image generation capabilities.
1import requests
2import json
3
4url = "https://api.segmind.com/v1/segmind-vega"
5headers = {
6 "x-api-key": "YOUR_API_KEY",
7 "Content-Type": "application/json"
8}
9
10data = {
11 "prompt": "cinematic photo detailed closeup portraid of a Beautiful cyberpunk woman, robotic parts, cables, lights, text; , high quality photography, 3 point lighting, flash with softbox, 4k, Canon EOS R3, hdr, smooth, sharp focus, high resolution, award winning photo, 80mm, f2.8, bokeh . 35mm photograph, film, bokeh, professional, 4k, highly detailed, high quality photography, 3 point lighting, flash with softbox, 4k, Canon EOS R3, hdr, smooth, sharp focus, high resolution, award winning photo, 80mm, f2.8, bokeh",
12 "negative_prompt": "(worst quality, low quality)",
13 "samples": 1,
14 "scheduler": "UniPC",
15 "num_inference_steps": 25,
16 "guidance_scale": 9,
17 "seed": 1232788698,
18 "img_width": 1024,
19 "img_height": 1024,
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/segmind-vega"
5headers = {
6 "x-api-key": "YOUR_API_KEY",
7 "Content-Type": "application/json"
8}
9
10data = {
11 "prompt": "cinematic photo detailed closeup portraid of a Beautiful cyberpunk woman, robotic parts, cables, lights, text; , high quality photography, 3 point lighting, flash with softbox, 4k, Canon EOS R3, hdr, smooth, sharp focus, high resolution, award winning photo, 80mm, f2.8, bokeh . 35mm photograph, film, bokeh, professional, 4k, highly detailed, high quality photography, 3 point lighting, flash with softbox, 4k, Canon EOS R3, hdr, smooth, sharp focus, high resolution, award winning photo, 80mm, f2.8, bokeh",
12 "negative_prompt": "(worst quality, low quality)",
13 "samples": 1,
14 "scheduler": "UniPC",
15 "num_inference_steps": 25,
16 "guidance_scale": 9,
17 "seed": 1232788698,
18 "img_width": 1024,
19 "img_height": 1024,
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
https://api.segmind.com/v1/segmind-vegaParameters
promptrequiredstringPrompt to render
base64optionalbooleanBase64 encoding of the output image.
falseguidance_scaleoptionalnumberScale for classifier-free guidance
7.5Range: 1 - 25img_heightoptionalintegerCan only be 1024 for SDXL
10241024img_widthoptionalintegerCan only be 1024 for SDXL
10241024negative_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 - 999999999999999Response Type
Returns: Text/JSON
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