Playground V2.5 Serverless API

Playground V2.5 is a diffusion-based text-to-image generative model, designed to create highly aesthetic images based on textual prompts.

~4.01s

Playground API

Pricing

~4.01s

 1import requests
 2import json
 3
 4url = "https://api.segmind.com/v1/playground-v2.5"
 5headers = {
 6    "x-api-key": "YOUR_API_KEY",
 7    "Content-Type": "application/json"
 8}
 9
10data = {
11    "prompt": "(solo), anthro, male, protogen, high detailed fur, smile, hyperdetailed,realistic",
12    "negative_prompt": "bad anatomy, bad hands, missing fingers,low quality,blurry",
13    "samples": 1,
14    "num_inference_steps": 25,
15    "guidance_scale": 3,
16    "seed": 36446545871,
17    "base64": false
18}
19
20response = requests.post(url, headers=headers, json=data)
21
22if response.status_code == 200:
23    result = response.json()
24    print(json.dumps(result, indent=2))
25else:
26    print(f"Error: {response.status_code}")
27    print(response.text)

 1import requests
 2import json
 3
 4url = "https://api.segmind.com/v1/playground-v2.5"
 5headers = {
 6    "x-api-key": "YOUR_API_KEY",
 7    "Content-Type": "application/json"
 8}
 9
10data = {
11    "prompt": "(solo), anthro, male, protogen, high detailed fur, smile, hyperdetailed,realistic",
12    "negative_prompt": "bad anatomy, bad hands, missing fingers,low quality,blurry",
13    "samples": 1,
14    "num_inference_steps": 25,
15    "guidance_scale": 3,
16    "seed": 36446545871,
17    "base64": false
18}
19
20response = requests.post(url, headers=headers, json=data)
21
22if response.status_code == 200:
23    result = response.json()
24    print(json.dumps(result, indent=2))
25else:
26    print(f"Error: {response.status_code}")
27    print(response.text)

API Endpoint

POSThttps://api.segmind.com/v1/playground-v2.5

Parameters

promptrequired

string

Prompt to render

base64optional

boolean

Base64 encoding of the output image.

Default: false

guidance_scaleoptional

number

Scale for classifier-free guidance

Default: 3Range: 1 - 25

negative_promptoptional

string

Prompts to exclude, eg. 'bad anatomy, bad hands, missing fingers,low quality,blurry'

num_inference_stepsoptional

integer

Number of denoising steps.

Default: 25Range: 20 - 100

samplesoptional

integer

Number of samples to generate.

Default: 1Range: 1 - 4

seedoptional

integer

Seed for image generation.

Default: -1Range: -1 - 999999999999999

Response Type

Returns: Text/JSON

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