Joyai Image Edit API Documentation
Playground
Try it on WaveSpeedAI!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?
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Creative, imagination-driven edits Goes beyond simple adjustments — transforms scenes, applies artistic styles, and reimagines environments with vivid, detailed results.
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Natural-language control Describe the transformation in plain text. The more descriptive your prompt, the richer the output.
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Preserves original structure Maintains the core composition, subject placement, and spatial layout of your source image while applying the requested transformation.
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Prompt Enhancer Built-in tool to automatically improve your edit descriptions for richer, more imaginative results.
Parameters
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Text description of the desired transformation or edit. |
| image | Yes | Source image to edit (URL or file upload). |
How to Use
- Upload your image — provide the source photo via URL or drag-and-drop.
- Write your prompt — describe the transformation you want in vivid detail. Use the Prompt Enhancer for richer results.
- 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
doneParameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| prompt | string | Yes | - | The edit instruction describing what changes to make to the image. | |
| image | string | Yes | - | URL of the input image to edit. |
Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data.id | string | Unique identifier for the prediction, Task Id |
| data.model | string | Model ID used for the prediction |
| data.outputs | array | Output values, usually URL strings; some models return text strings or structured result objects (empty when status is not completed) |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |
Result Request Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| id | string | Yes | - | Task ID |
Result Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data | object | The prediction data object containing all details |
| data.id | string | Unique identifier for the prediction |
| data.model | string | Model ID used for the prediction |
| data.outputs | array<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.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to poll for the prediction result |
| data.status | string | Status: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |