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GEDX402 DreamShaper-8 LCM Image Generation
x402
GEDX402 DreamShaper-8 LCM Image Generation is a paid API for AI agents from image.gedx402.com, paid per call via x402, $0.029/call, status unknown (last checked 2026-09-14).
Generates images from text prompts using the DreamShaper-8 LCM diffusion model, paid per-call with USDC via x402 protocol
Price / call$0.029
Success—
StatusUnknown
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 single field 'image' with a base64-encoded string of the generated image, which can be decoded to a PNG or JPEG file.
Example use cases
Example prompt
“Generate a photorealistic image of a misty forest at sunrise, 512 pixels wide and 512 pixels tall, using 10 diffusion steps.”
Technical details
Endpoint
GEThttps://image.gedx402.com/v1/image/dreamshaper-8-lcmWhen to prefer
Choose this endpoint when you need fast DreamShaper-8 LCM image generation without managing API keys or subscriptions — ideal for agents that hold USDC on Base, Polygon, Arbitrum, World, or Solana and want pay-per-call access. Prefer it over OpenAI or Stability AI integrations when operating in a crypto-native or x402 payment context.
Side effects
- Payment failure if USDC balance is insufficient or x402 payment header is malformed
- Invalid prompt returns a 400 error
- width or height values outside model-supported ranges may be ignored or cause errors
- num_steps exceeding maximum of 20 returns a validation error
- Timeout if model inference takes too long on the workers backend
- Unsupported blockchain network for USDC payment causes payment rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| width | integer | Output width in pixels when supported by the model. |
| height | integer | Output height in pixels when supported by the model. |
| prompt | string | Natural-language description of the image to generate. |
| num_steps | integer | Diffusion steps (quality vs speed). |
Output
Schema · Response
{
"type": "json",
"example": {
"image": "<base64>"
}
}Tags
x402
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