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Pruna AIImage to image

Pruna AI P-Image Upscale

AI-powered image upscaling up to 8 megapixels with detail and realism enhancement

POSTauray-serverless/prunaai/p-image-upscale
openapi.jsonllms.txt

One of Auray's catalogue models: the same key, the same credits, the same job lifecycle as every other address.

Its request shape is published below. Whether it runs right now is GET /v1/catalogue's word, with no key needed: its addresses say connected for an address that runs, and a submit to any other is refused before anything is charged — described answers 501 model_not_connected, paused 503 model_disabled.

Category image-to-image · Scope image:write (or external:write on an older key) · Price Credits per call: 2. Plus 8 credits when the request sends inputs.image (counted as any:inputs.image). Quoted when you submit, at the most the request can cost; the charge settles to what the job cost and never above the quote. The submit's answer carries the quote as credits_quoted, and credits_charged says what has been taken.

#Input

FieldTypeRequiredDefaultDescription
upscaleFactorintegerno—Factor by which to upscale the generated image. A value of 2 doubles width and height. Documented range: 2 to 16.
settingsobjectno—
settings.enhanceDetailsbooleanno—Enhances fine textures and small details. May increase contrast and introduce minor deviations from the original.
settings.realismbooleanno—Improves realism in the upscaled image. May deviate more from the original. Recommended for AI-generated images.
targetMegapixelsintegerno—Target resolution in megapixels. Output is capped at 128 MP. Documented range: 1 to 128.
outputQualityintegerno95Compression quality of the output. Higher values preserve quality but increase file size. Documented range: 20 to 99.
outputTypestringno"URL"Image output type. One of "URL".
outputFormatstringno"JPG"Specifies the file format of the generated output. The available values depend on the task type and the specific model's capabilities. - `JPG`: Best for photorealistic images with smaller file sizes (no transparency). - `PNG`: Lossless compression, supports high quality and transparency (alpha channel). - `WEBP`: Modern format providing superior compression and transparency support. - `MP4`: Widely supported video container (H.264), recommended for general use. - `WEBM`: Optimized for web delivery. - `MOV`: QuickTime format, common in professional workflows (Apple ecosystem). - `GIF`: Animated image format (no audio), suitable for short loops or previews. - `MP3`: Compressed audio, smaller file size. - `WAV`: Uncompressed, high-quality audio. - `FLAC`: Lossless compression. - `OGG`: Open-source compressed audio format (Vorbis codec). - `SVG`: Scalable Vector Graphics. - `TIFF`: High-quality output supporting layers. - `GLB`: Binary glTF format for 3D models, including geometry, textures, and PBR materials. > [!NOTE] > **Transparency**: If you are using features like background removal or LayerDiffuse that require transparency, you must select a format that supports an alpha channel (e.g., `PNG`, `WEBP`, `TIFF`). `JPG` does not support transparency. One of "JPG", "PNG", "WEBP".
inputsobjectyes—
inputs.imagestringyes—Image input (an http(s) URL; upload a local file first and send its read URL). A URL.
idempotency_keystringno—Your own name for this request. Send the same one twice and the second call is answered with the first request rather than charged again. Idempotency-Key: as a header is accepted as an alias — that is the spelling a retrying proxy replays, and the one to use when running a model on auray.run, where a request that outlives its connection is answered 504 and recovered by replay. Omit it and the platform mints one. 1 to 64 characters.

#Rules

Across fields, as the model's documentation states them. Each is judged before anything is charged — warned with a Deprecation header until enforcement starts — and listed as JSON Schema under x-auray-rules in the openapi.json.

  • Do not send upscaleFactor together with targetMegapixels.

#Example

curl -X POST https://queue.auray.run/auray-serverless/prunaai/p-image-upscale \
  -H "Authorization: Bearer $AURAY_API_KEY" \
  -H "content-type: application/json" \
  -d '{
  "inputs": {
    "image": "https://v3b.auray.media/examples/samples/still-life.jpg"
  }
}'

The same body on https://auray.run runs synchronously and answers the result — unless it usually takes longer than a run may hold its connection, which is refused 400 model_not_synchronous before anything is charged. Options — ?webhook=, ?wait=, priority and timeout headers — are on Submit a request.

#Machine contracts

  • openapi.json — this page as an OpenAPI 3.1 document, public.
  • llms.txt — the same, written for an agent.

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