Professional AI model that generates zoomed-out and outpainted images by expanding an input photo beyond its original frame. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Idle

$0.02per run·~50 / $1









The AI Image Zoom-Out model seamlessly expands the visible area of any photo or artwork. Using WaveSpeedAI’s high-fidelity diffusion outpainting engine, it intelligently reconstructs what lies beyond the frame — maintaining realistic lighting, perspective, and artistic consistency.
Intelligent Outpainting Extends the canvas naturally with accurate context prediction and realistic scene continuation.
High-Resolution Support Handles up to 4K output while maintaining detail coherence and smooth color gradients.
Context-Aware Composition Preserves perspective, object integrity, and visual storytelling.
Multiple Aspect Ratios Choose how far to zoom out — from subtle framing to wide cinematic compositions.
Fast Inference Optimized for WaveSpeedAI’s acceleration clusters for rapid, artifact-free results.
Each run costs $0.016 — pay only for the images you expand.
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/image-zoom-out with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Image Zoom Out below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/image-zoom-out" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d '{
"image": "https://example.com/your-input.jpg",
"output_format": "jpeg",
"enable_base64_output": false,
"enable_sync_mode": false
}'
# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
-H "Authorization: Bearer $WAVESPEED_API_KEY"
# When status is "completed", read the output from data.outputs[0].// npm install wavespeed
const WaveSpeed = require('wavespeed');
const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env
const result = await client.run("wavespeed-ai/image-zoom-out", {
"image": "https://example.com/your-input.jpg",
"output_format": "jpeg",
"enable_base64_output": false,
"enable_sync_mode": false
});
console.log(result.outputs[0]); // → URL of the generated output# pip install wavespeed
import wavespeed
output = wavespeed.run(
"wavespeed-ai/image-zoom-out",
{
"image": "https://example.com/your-input.jpg",
"output_format": "jpeg",
"enable_base64_output": false,
"enable_sync_mode": false
}
)
print(output["outputs"][0]) # → URL of the generated outputImage Zoom Out is a WaveSpeedAI model for image editing, exposed as a REST API on WaveSpeedAI. Professional AI model that generates zoomed-out and outpainted images by expanding an input photo beyond its original frame. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.
POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID; poll the prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/wavespeed-ai/image-zoom-out.
Image Zoom Out starts at $0.020 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.
Key inputs: `image`, `size`, `enable_base64_output`, `enable_sync_mode`, `output_format`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/wavespeed-ai/image-zoom-out.
Average end-to-end generation time on WaveSpeedAI is around 12 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.
Commercial usage rights depend on the model's license, set by its provider (WaveSpeedAI). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.