Qwen Image Edit 2509 Multiple Angles
Playground
Try it on WaveSpeedAI!Qwen Image Edit 2509 Multiple Angles is an AI image editing model that generates multiple-angle views of objects or scenes from a single image. Transform perspectives and create diverse viewpoints with text prompts. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Features
Qwen Image Edit 2509 Multiple Angles generates new camera perspectives of a subject from reference images. Control horizontal rotation, vertical tilt, and camera distance to create realistic multi-angle views — perfect for product photography and 3D visualization without reshooting.
Why Choose This?
-
Multi-angle generation Create new camera perspectives from up to 3 reference images.
-
Precise horizontal rotation Rotate the viewpoint in 5 positions: -90 (left), -45, 0 (front), 45, 90 (right).
-
Vertical tilt control Adjust camera elevation: -30 (low angle), 0 (eye level), 30 (elevated), 60 (high angle).
-
Camera distance Control zoom level: 0 = close-up, 1 = medium shot, 2 = wide shot.
-
Optional prompt guidance Add text descriptions to refine the generated perspective.
Parameters
| Parameter | Required | Description |
|---|---|---|
| images | Yes | Reference images, up to 3 (click ”+ Add Item”) |
| horizontal_angle | No | Horizontal rotation: -90, -45, 0, 45, 90 (default: 90) |
| vertical_angle | No | Vertical tilt: -30, 0, 30, 60 (default: 0) |
| distance | No | Camera distance: 0 (close-up), 1 (medium), 2 (wide) (default: 1) |
| prompt | No | Text description to guide the output |
| size | No | Custom output size |
| seed | No | Random seed for reproducibility (-1 for random) |
| output_format | No | Output format: jpeg (default), png, webp |
| enable_base64_output | No | Return BASE64 string instead of URL (API only) |
| enable_sync_mode | No | Wait for result before returning response (API only) |
Angle Reference
Horizontal Angle (horizontal_angle):
- -90 → left side view
- -45 → rotate left 45 degrees
- 0 → front view
- 45 → rotate right 45 degrees
- 90 → right side view
Vertical Angle (vertical_angle):
- -30 → low angle (looking up)
- 0 → eye level
- 30 → elevated view
- 60 → high angle (looking down)
Distance:
- 0 → close-up
- 1 → medium shot
- 2 → wide shot
How to Use
- Upload your images — provide 1-3 reference images.
- Set horizontal angle — choose the horizontal rotation.
- Set vertical angle (optional) — adjust camera elevation.
- Set distance (optional) — choose close-up, medium, or wide shot.
- Add prompt (optional) — describe any additional guidance.
- Run — submit and download the new perspective.
Pricing
| Output | Cost |
|---|---|
| Per image | $0.025 |
Best Use Cases
- Product Photography — Generate multiple product angles from a few reference shots.
- E-commerce — Produce multi-angle product listings without reshooting.
- 3D Visualization — Preview objects from different perspectives.
- Sports & Action — Create alternate viewing angles of action scenes.
- Creative Exploration — Experiment with camera angles and compositions.
Pro Tips
- Use multiple reference images from different angles for more accurate results.
- Combine horizontal rotation with vertical tilt for dynamic camera positions.
- Use distance 0 for detail shots, distance 2 for full-body or environment context.
- Values are rounded to the nearest valid angle automatically.
- Keep seed consistent to compare different angle settings on the same subject.
Notes
- Images is the only required field; maximum 3 reference images.
- Angle values are rounded to the nearest valid position.
- enable_base64_output and enable_sync_mode are API-only parameters.
- Ensure uploaded image URLs are publicly accessible.
- Seed value -1 generates a random seed each time.
Related Models
- Qwen Image Max Edit — Bilingual image editing with multi-image support.
- Qwen Image Max Text-to-Image — Generate images from text descriptions.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
set -euo pipefail
export WAVESPEED_API_KEY="your-api-key"
REQUEST_BODY=$(cat <<'JSON'
{
"images": [
"https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg"
],
"horizontal_angle": 0,
"vertical_angle": 0,
"distance": 1,
"seed": -1,
"output_format": "jpeg"
}
JSON
)
# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
-X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/qwen-image/edit-2509-multiple-angles" \
-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 |
|---|---|---|---|---|---|
| images | array<string> | Yes | - | 0 ~ 3 items | The input images. A maximum of 3 reference images can be uploaded. |
| horizontal_angle | integer | No | 0 | -90 ~ 90 | Horizontal rotation angle in degrees. Controls the camera's horizontal position. Negative values rotate left, positive values rotate right. Values are rounded to the nearest valid angle: -90 (left), -45 (rotate left), 0 (front), 45 (rotate right), 90 (right). |
| vertical_angle | integer | No | 0 | -30 ~ 60 | Vertical tilt angle (elevation) in degrees. Controls the camera's vertical position. Values are rounded to the nearest valid angle: -30 (low angle), 0 (eye level), 30 (elevated), 60 (high angle). |
| distance | integer | No | 1 | 0 ~ 2 | Camera distance/zoom level. 0 = close-up, 1 = medium shot, 2 = wide shot. |
| prompt | string | No | - | Optional additional prompt to guide the generation. This is appended to the angle prompt. | |
| seed | integer | No | -1 | - | The random seed to use for the generation. -1 means a random seed will be used. |
| output_format | string | No | jpeg | jpeg, png, webp | The format of the output image. |
| enable_base64_output | boolean | No | false | - | If set to `true`, the prediction's `output` strings are returned as **naked base64** (no `data:<mime>;base64,` prefix). When `false` (default), outputs are returned as URLs pointing to our CDN. |
| enable_sync_mode | boolean | No | false | - | If set to `true`, the request attempts to wait for the generated result and return outputs in the same response. If the result is not ready within the sync wait window, the API can return a timeout body while the task continues processing. This option is only available via the API and is supported only by some models. |
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 |