Qwen Image Edit 2509 Multiple Angles

Qwen Image Edit 2509 Multiple Angles

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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

ParameterRequiredDescription
imagesYesReference images, up to 3 (click ”+ Add Item”)
horizontal_angleNoHorizontal rotation: -90, -45, 0, 45, 90 (default: 90)
vertical_angleNoVertical tilt: -30, 0, 30, 60 (default: 0)
distanceNoCamera distance: 0 (close-up), 1 (medium), 2 (wide) (default: 1)
promptNoText description to guide the output
sizeNoCustom output size
seedNoRandom seed for reproducibility (-1 for random)
output_formatNoOutput format: jpeg (default), png, webp
enable_base64_outputNoReturn BASE64 string instead of URL (API only)
enable_sync_modeNoWait 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

  1. Upload your images — provide 1-3 reference images.
  2. Set horizontal angle — choose the horizontal rotation.
  3. Set vertical angle (optional) — adjust camera elevation.
  4. Set distance (optional) — choose close-up, medium, or wide shot.
  5. Add prompt (optional) — describe any additional guidance.
  6. Run — submit and download the new perspective.

Pricing

OutputCost
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.

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
done

Parameters

Task Submission Parameters

Request Parameters

ParameterTypeRequiredDefaultRangeDescription
imagesarray<string>Yes-0 ~ 3 itemsThe input images. A maximum of 3 reference images can be uploaded.
horizontal_angleintegerNo0-90 ~ 90Horizontal 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_angleintegerNo0-30 ~ 60Vertical 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).
distanceintegerNo10 ~ 2Camera distance/zoom level. 0 = close-up, 1 = medium shot, 2 = wide shot.
promptstringNo-Optional additional prompt to guide the generation. This is appended to the angle prompt.
seedintegerNo-1-The random seed to use for the generation. -1 means a random seed will be used.
output_formatstringNojpegjpeg, png, webpThe format of the output image.
enable_base64_outputbooleanNofalse-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_modebooleanNofalse-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

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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