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Image GenerationStable Diffusion

Stable Diffusion 3

The original SD 3 Medium MMDiT model with strong prompt adherence and typography.

POST /v2/images/generatemodel: "stable-diffusion-3"

Stable Diffusion 3 Medium is a 2-billion-parameter Multimodal Diffusion Transformer (MMDiT) model from Stability AI. It excels at photorealism, typography, and complex prompt understanding. Supports image-to-image via the image parameter.

See Image Generation overview for common request fields, response format, and error codes.

Model-specific parameters

ParameterTypeDescription
stableDiffusionParams.aspect_ratiostringOutput aspect ratio. Values: "1:1", "16:9", "21:9", "3:2", "2:3", "4:5", "5:4", "9:16", "9:21". Ignored when image is set
stableDiffusionParams.cfgnumberGuidance scale (0–20). How strictly to follow the prompt. Default 3.5
stableDiffusionParams.stepsintegerNumber of sampling steps (1–28). Values above 28 are clamped. Default 28
stableDiffusionParams.seedintegerRandom seed for reproducible generation
stableDiffusionParams.negative_promptstringWhat you do NOT want to see in the image
stableDiffusionParams.imagestringInput image URL for image-to-image mode. Output aspect ratio matches this image
stableDiffusionParams.prompt_strengthnumberDenoising strength for image-to-image (0–1). 1.0 fully replaces the input image. Default 0.85
stableDiffusionParams.output_formatstringOutput image format. Values: "webp", "jpg", "png". Default "webp"
stableDiffusionParams.output_qualityintegerOutput quality for lossy formats (0–100). Default 90

Credit cost

Credits per generation
7

Example result

Once the job is COMPLETED, the result object on GET /v2/jobs/:id looks like:

{
  "images": [
    "https://cdn2.apiframe.ai/images/a1b2c3d4-e5f6-7890-abcd-ef1234567890-1.png"
  ]
}

See Result format for field details.

Code examples

curl -X POST https://api.apiframe.ai/v2/images/generate \
  -H "X-API-Key: afk_your_api_key_here" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "A vintage travel poster of Kyoto with bold typography",
    "model": "stable-diffusion-3",
    "stableDiffusionParams": {
      "aspect_ratio": "2:3",
      "cfg": 3.5,
      "steps": 28
    }
  }'
import requests

response = requests.post(
    "https://api.apiframe.ai/v2/images/generate",
    headers={
        "X-API-Key": "afk_your_api_key_here",
        "Content-Type": "application/json",
    },
    json={
        "prompt": "A vintage travel poster of Kyoto with bold typography",
        "model": "stable-diffusion-3",
        "stableDiffusionParams": {
            "aspect_ratio": "2:3",
            "cfg": 3.5,
            "steps": 28,
        },
    },
)
print(response.json())
const response = await fetch("https://api.apiframe.ai/v2/images/generate", {
  method: "POST",
  headers: {
    "X-API-Key": "afk_your_api_key_here",
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    prompt: "A vintage travel poster of Kyoto with bold typography",
    model: "stable-diffusion-3",
    stableDiffusionParams: { aspect_ratio: "2:3", cfg: 3.5, steps: 28 },
  }),
});
console.log(await response.json());

Try it

POST/v2/images/generateTry it

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