LLAVA 1.6 7B

LLaVa translates images into text descriptions & captions.

~3.60s
~$0.006
 1import requests
 2import json
 3
 4url = "https://api.segmind.com/v1/llava-v1.6"
 5headers = {
 6    "x-api-key": "YOUR_API_KEY",
 7    "Content-Type": "application/json"
 8}
 9
10data = {
11    "images": "https://segmind-sd-models.s3.amazonaws.com/display_images/llava-input.jpg",
12    "prompt": "Describe meta data of the image in this format, keep them short and factually correct:\n1. Category,\n2. Primary Colors,\n3. Additional Colors,\n4. Primary Material,\n5. Secondary Materials,\n6. Style and a couple others if you can find any according to the product.\n give it in json"
13}
14
15response = requests.post(url, headers=headers, json=data)
16
17if response.status_code == 200:
18    result = response.json()
19    print(json.dumps(result, indent=2))
20else:
21    print(f"Error: {response.status_code}")
22    print(response.text)

API Endpoint

POSThttps://api.segmind.com/v1/llava-v1.6

Parameters

imagesrequired
string (uri)

Input Image.

promptrequired
string

Prompt to send to the model.

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