Krea 3 | Image Edit image previewinference · 9.7s

Krea 3 | Image Edit

Image Gen·Krea 3·by Krea Provider

Krea 3 transforms images from a text instruction, editing or combining up to 8 photos into one PNG for product, marketing and design teams on each::labs.

Runtime (p50)
-
Estimated price
Usage-based
Call the API
prediction.sh
sh
curl -X POST \
  -H "Authorization: Bearer $EACHLABS_API_KEY" \
  -H "Content-Type: application/json" \
  --data '{
    "model": "krea-3-image-edit",
    "input": {
        "model": "berry",
        "prompt": "Using the uploaded woman as the only identity reference (keep her exact face, freckles, blue-grey eyes, and long wavy honey-blonde hair), create a photorealistic Vogue-style fashion magazine cover, vertical 3:4: she reclines across the open petals of a giant pale blush-pink lily on a thick green stem against a flat cobalt-blue sky, propped on one elbow, legs stretched out with ankles crossed, looking coolly at the camera, wearing her own pale yellow floral slip dress extended to midi length and cream T-strap heels, with tall green stamens and burnt-orange anthers rising behind her, oversized graphic tropical leaves at the bottom, low angle, hard midday sun, surreal 1970s fashion campaign look; across the top, a huge masthead that reads exactly \"each::labs\" in a bold lowercase modern sans-serif, the letters \"each\" and \"labs\" in white, and the \"::\" in the middle drawn as four small solid orange-red (#FD441F) squares in a 2x2 grid, with the lily stamens slightly overlapping the masthead like a classic Vogue cover; no other text anywhere, no barcode, no watermark.",
        "image_urls": [
            "https://cdn-us.eachlabs.ai/defaults/6622b5c7c7d944cca75138e3517f5db2.png"
        ],
        "resolution": "2k",
        "aspect_ratio": "3:4",
        "thinking_mode": "fast"
    },
    "webhook_url": ""
}' \
  https://api.eachlabs.ai/v1/prediction/

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* FAQ

About Krea 3 | Image Edit

01 / 03

What is Krea 3 Image Edit?

Krea 3 Image Edit is an image editing model from Krea that changes a picture from a plain-language instruction. You describe what should change and what should stay the same, and it returns one PNG image. It accepts up to eight input images, and with no input image it creates a new picture from the prompt alone.