# GEDX402 LLaVA-1.5-7B Image Captioning

> GEDX402 LLaVA-1.5-7B Image Captioning is a paid API for AI agents from ged-x402-media.jvalamis.workers.dev, paid per call via x402, $0.554/call, status unknown (last checked 2026-09-15).

Generates a natural language caption or answer for a given image using the LLaVA-1.5-7B vision-language model, paid via USDC on-chain

## Facts

- Endpoint: GET https://ged-x402-media.jvalamis.workers.dev/v1/caption/llava-1.5-7b-hf
- Price: $0.554/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-15
- Activations on Zero: 1
- Tags: x402
- Canonical page: https://www.zero.xyz/c/gedx402-llava-1-5-7b-image-captioning-f7ddbfef
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap__HoDgrG3G1mVKoKEGSuU2

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability gedx402-llava-1-5-7b-image-captioning-f7ddbfef
```

Example prompt: Describe what's happening in this image for me — here's the base64-encoded photo — and answer the question 'What objects are visible in the foreground?' using up to 200 tokens.

## When to prefer this

Use this endpoint when you need no-API-key image captioning or visual Q&A via a pay-per-call USDC micropayment on Base, Polygon, Arbitrum, World, or Solana — ideal for agents that want to avoid API key management and pay only per inference call using LLaVA-1.5-7B.

## Known failure modes

- Invalid or malformed base64 image returns an error
- Image too large for model context
- Payment not received or insufficient USDC causes 402 rejection
- max_tokens exceeded model limits
- Unsupported image format

## How this service works

x402 workers ai. pay with usdc on base, polygon, arbitrum, world, or solana. no api keys.

## Output

A JSON object containing a 'description' field with a natural language caption or answer about the image, e.g. {"description": "A sunset over mountains."}

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "image": {
   "type": "string"
  },
  "prompt": {
   "type": "string"
  },
  "max_tokens": {
   "type": "integer"
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {
  "description": "A sunset over mountains."
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/gedx402-llava-1-5-7b-image-captioning-f7ddbfef/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from ged-x402-media.jvalamis.workers.dev](https://www.zero.xyz/host/ged-x402-media.jvalamis.workers.dev/llms.txt)