Joyai Image Edit API Documentation

Joyai Image Edit API Documentation

Playground

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JoyAI Image Edit transforms images based on text instructions, allowing you to modify backgrounds, adjust colors, add or remove elements, and more. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing.

Features

JoyAI Image Edit transforms any photo with natural language instructions. Describe the change you want — alter styles, shift environments, add fantastical elements, change lighting or atmosphere — and the model applies a rich, imaginative edit while preserving the core structure of your original image.


Why Choose This?

  • Creative, imagination-driven edits Goes beyond simple adjustments — transforms scenes, applies artistic styles, and reimagines environments with vivid, detailed results.

  • Natural-language control Describe the transformation in plain text. The more descriptive your prompt, the richer the output.

  • Preserves original structure Maintains the core composition, subject placement, and spatial layout of your source image while applying the requested transformation.

  • Prompt Enhancer Built-in tool to automatically improve your edit descriptions for richer, more imaginative results.


Parameters

ParameterRequiredDescription
promptYesText description of the desired transformation or edit.
imageYesSource image to edit (URL or file upload).

How to Use

  1. Upload your image — provide the source photo via URL or drag-and-drop.
  2. Write your prompt — describe the transformation you want in vivid detail. Use the Prompt Enhancer for richer results.
  3. Submit — download your transformed image.

Pricing

Just $0.30 per image.


Best Use Cases

  • Fantasy & world-building — Transform real environments into magical, surreal, or sci-fi scenes.
  • Style transfer — Reimagine photos in watercolor, oil painting, neon, or any artistic style.
  • Seasonal & atmospheric changes — Shift environments between seasons, times of day, or weather conditions.
  • Creative content — Generate visually striking images for social media, storytelling, and artistic projects.
  • Concept visualization — Quickly explore visual directions and alternative treatments of a scene.

Pro Tips

  • The more descriptive your prompt, the richer the transformation — include specific colors, textures, lighting, and visual elements you want to see.
  • Describe both what should change and what the overall mood or atmosphere should feel like.
  • Use the Prompt Enhancer to expand a simple idea into a detailed, evocative edit instruction.

Notes

  • Both prompt and image are required fields.
  • Ensure image URLs are publicly accessible if using a link rather than a direct upload.
  • Please ensure your content complies with WaveSpeed AI’s usage policies.

Authentication

For authentication details, please refer to the Authentication Guide.

API Endpoints

Submit Task & Query Result

set -euo pipefail

export WAVESPEED_API_KEY="your-api-key"

REQUEST_BODY=$(cat <<'JSON'
{
  "prompt": "A cinematic ocean wave at sunrise, highly detailed",
  "image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg"
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/joyai-image/edit" \
  -H "Authorization: Bearer ${WAVESPEED_API_KEY}" \
  -H "Content-Type: application/json" \
  -d "${REQUEST_BODY}")

TASK=$(printf '%s' "${SUBMIT_RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "${TASK}" | jq -r '.id // empty')
if [ -z "${PREDICTION_ID}" ]; then
  printf 'Submission response did not contain a prediction id
' >&2
  exit 1
fi
RESULT_URL=$(printf '%s' "${TASK}" | jq -r '.urls.get // empty')
if [ -z "${RESULT_URL}" ]; then RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/${PREDICTION_ID}/result"; fi

# 2. Poll until the prediction finishes.
while true; do
  RESPONSE=$(curl --silent --show-error --fail-with-body \
    "${RESULT_URL}" \
    -H "Authorization: Bearer ${WAVESPEED_API_KEY}")
  RESULT=$(printf '%s' "${RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
  STATUS=$(printf '%s' "${RESULT}" | jq -r '.status // empty')

  case "${STATUS}" in
    completed) printf '%s\n' "${RESULT}" | jq '.outputs'; break ;;
    failed|cancelled|timeout) printf '%s\n' "${RESULT}" | jq . >&2; exit 1 ;;
    created|processing) sleep 2 ;;
    *) printf 'Unexpected status: %s
' "${STATUS}" >&2; exit 1 ;;
  esac
done

Parameters

Task Submission Parameters

Request Parameters

ParameterTypeRequiredDefaultRangeDescription
promptstringYes-The edit instruction describing what changes to make to the image.
imagestringYes-URL of the input image to edit.

Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
data.idstringUnique identifier for the prediction, Task Id
data.modelstringModel ID used for the prediction
data.outputsarrayOutput values, usually URL strings; some models return text strings or structured result objects (empty when status is not completed)
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.statusstringStatus of the task: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds

Result Request Parameters

ParameterTypeRequiredDefaultDescription
idstringYes-Task ID

Result Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
dataobjectThe prediction data object containing all details
data.idstringUnique identifier for the prediction
data.modelstringModel ID used for the prediction
data.outputsarray<string | object>Array of generated outputs (empty when status is not completed). Items are usually URL strings, but may be text strings or structured result objects, depending on the model.
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to poll for the prediction result
data.statusstringStatus: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds
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