AI Instagram Model API Documentation
Playground
Try it on WaveSpeedAI!AI Instagram Model generates stunning Instagram-style photos from your image and prompt. Choose from 10 style presets — influencer, street fashion, beach, fitness, luxury, casual chic, night glam, anime, cyberpunk, and vintage retro. Ready-to-use REST inference API, no coldstarts, affordable pricing.
Features
AI Instagram Model transforms your photos into professional, Instagram-worthy shots in seconds. Upload a photo, describe the look you want, and pick from 10 curated style presets — from influencer glam to cyberpunk vibes — and let AI handle the rest.
Why Choose This?
-
10 curated style presets Choose from influencer, street fashion, beach, fitness, luxury, casual chic, night glam, anime, cyberpunk, or vintage retro — each with a distinct, polished aesthetic.
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Prompt-driven creativity Describe exactly what you want and the model brings your vision to life alongside the chosen style.
-
Instant, professional results No editing skills required. Scroll-stopping, photo-ready output in seconds.
Parameters
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Text description of the desired photo look and feel. |
| image | Yes | Input photo (URL or file upload). |
| style | No | Style preset. Default: influencer. See options below. |
Style Options
| Style | Description |
|---|---|
| influencer | Influencer portrait, retouched skin, professional lighting. (default) |
| street_fashion | Street style, urban background, editorial look. |
| beach | Beach vacation, golden tan, summer vibes. |
| fitness | Fitness model, sportswear, muscle definition. |
| luxury | Luxury fashion, designer clothing, jewelry. |
| casual_chic | Casual fashion, café setting, natural light. |
| night_glam | Evening gown, night club, neon lighting. |
| anime | Anime-style character, big eyes, cel shading. |
| cyberpunk | Neon sci-fi, cyberpunk aesthetic, futuristic feel. |
| vintage_retro | Retro 60s–70s, film grain, Hollywood look. |
How to Use
- Upload your photo — a clear, well-lit, front-facing photo works best.
- Write a prompt — describe the look, mood, or specific details you want.
- Pick a style — choose from 10 presets, or leave as default (influencer).
- Submit — download your Instagram-ready result.
Pricing
Just $0.05 per image.
Best Use Cases
- Social media content — Create scroll-stopping Instagram posts without a photoshoot.
- Personal branding — Build a consistent, polished aesthetic across your feed.
- Fashion lookbooks — Generate styled photos in multiple aesthetics from a single source image.
- Creative exploration — Try anime, cyberpunk, or vintage looks on your own photos.
Pro Tips
- Clear, well-lit portraits with a visible face and body produce the best results.
- Be specific in your prompt — describe lighting, mood, outfit details, or setting for more accurate output.
- Try multiple styles on the same photo to find your perfect look before committing to one.
- Front-facing photos with a simple background are easiest for the model to work with.
Notes
- Both prompt and image are required fields.
- Style defaults to influencer if not specified.
- Ensure image URLs are publicly accessible if using a link rather than a direct upload.
- Please ensure your content complies with WaveSpeed AI’s usage policies.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
set -euo pipefail
export WAVESPEED_API_KEY="your-api-key"
REQUEST_BODY=$(cat <<'JSON'
{
"image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
"style": "influencer"
}
JSON
)
# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
-X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/ai-instagram-model" \
-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 |
|---|---|---|---|---|---|
| image | string | Yes | - | The URL of the input image. | |
| prompt | string | No | - | Text prompt describing the desired Instagram-style photo. | |
| style | string | No | influencer | influencer, street_fashion, beach, fitness, luxury, casual_chic, night_glam, anime, cyberpunk, vintage_retro | Style preset for the generated photo. |
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 |