Generate specific camera angles from a single image using a 96-pose camera system. Control horizontal rotation, vertical tilt, and zoom to create front, side, back views and more. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
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$0.025실행당·~40 / $1





Qwen-Image-Edit Multiple Angles transforms a single input image into any camera angle using an advanced 96-pose camera system. Generate front views, side profiles, back views, bird's-eye shots, and dramatic low angles — all from one photo.
Perfect for e-commerce product photography, 3D asset creation, character design, virtual try-on, and creative content generation.
Single Image to Multi-View Upload one photo and generate any angle — no need for multiple photo shoots or 3D modeling.
96-Pose Camera System 8 horizontal angles × 4 vertical angles × 3 distance levels = comprehensive viewpoint coverage.
Intuitive Angle Control Specify angles in degrees — the system automatically optimizes for the best results.
Production-Ready API No cold starts, fast inference, and predictable pricing for seamless integration.
| Angle | View |
|---|---|
| 0° | Front view |
| 45° | Front-right quarter |
| 90° | Right side profile |
| 135° | Back-right quarter |
| 180° | Back view |
| 225° | Back-left quarter |
| 270° | Left side profile |
| 315° | Front-left quarter |
Accepts any value 0-359° and rounds to the nearest optimal angle.
| Angle | Shot Type |
|---|---|
| -30° | Low-angle (looking up) |
| 0° | Eye-level (standard) |
| 30° | Elevated (slightly above) |
| 60° | High-angle (looking down) |
Accepts any value -30° to 60° and rounds to the nearest optimal angle.
| Value | Shot Type |
|---|---|
| 0 | Close-up |
| 1 | Medium shot |
| 2 | Wide shot |
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| images | array | Yes | - | Input image(s). Up to 3 images. |
| horizontal_angle | integer | No | 0 | Rotation around subject (0-359°). |
| vertical_angle | integer | No | 0 | Camera height (-30° to 60°). |
| distance | integer | No | 1 | Zoom level (0, 1, or 2). |
| prompt | string | No | - | Optional guidance prompt. |
| seed | integer | No | -1 | Random seed (-1 for random). |
| output_format | string | No | "jpeg" | "jpeg", "png", or "webp". |
Generate 360° product views from a single photo for online stores.
{
"images": ["https://example.com/product.jpg"],
"horizontal_angle": 90,
"vertical_angle": 0,
"distance": 1
}
Create character turnarounds for animation and game development.
{
"images": ["https://example.com/character.jpg"],
"horizontal_angle": 180,
"vertical_angle": 0,
"distance": 1
}
Generate cinematic angles for creative content.
{
"images": ["https://example.com/portrait.jpg"],
"horizontal_angle": 45,
"vertical_angle": -30,
"distance": 0
}
Create top-down perspectives for real estate or product layouts.
{
"images": ["https://example.com/scene.jpg"],
"horizontal_angle": 0,
"vertical_angle": 60,
"distance": 2
}
$0.025 per generated image
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/qwen-image/edit-multiple-angles with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Qwen Image Edit Multiple Angles below.
set -euo pipefail
: "${WAVESPEED_API_KEY:?Set WAVESPEED_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-multiple-angles" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d "$REQUEST_BODY")
TASK=$(printf '%s' "$SUBMIT_RESPONSE" | jq 'if has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "$TASK" | jq -r '.id')
if [ -z "$PREDICTION_ID" ] || [ "$PREDICTION_ID" = "null" ]; 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' "$RESPONSE" | jq 'if has("data") then .data else . end')
STATUS=$(printf '%s' "$RESULT" | jq -r '.status')
case "$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
doneconst submitUrl = "https://api.wavespeed.ai/api/v3/wavespeed-ai/qwen-image/edit-multiple-angles";
const apiKey = process.env.WAVESPEED_API_KEY;
if (!apiKey) throw new Error('Set WAVESPEED_API_KEY');
async function requestJson(url, options = {}) {
const response = await fetch(url, options);
if (!response.ok) throw new Error(await response.text());
return response.json();
}
// 1. Submit the prediction.
const body = await requestJson(submitUrl, {
method: "POST",
headers: {
"Authorization": `Bearer ${apiKey}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"images": [
"https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg"
],
"horizontal_angle": 0,
"vertical_angle": 0,
"distance": 1,
"seed": -1,
"output_format": "jpeg"
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
`https://api.wavespeed.ai/api/v3/predictions/${task.id}/result`;
// 2. Poll until the prediction finishes.
while (true) {
const resultBody = await requestJson(resultUrl, {
headers: { "Authorization": `Bearer ${apiKey}` },
});
const result = resultBody.data ?? resultBody;
if (result.status === "completed") {
console.log(result.outputs);
break;
}
if (["failed", "cancelled", "timeout"].includes(result.status)) throw new Error(JSON.stringify(result));
if (!["created", "processing"].includes(result.status)) throw new Error("Unexpected status: " + result.status);
await new Promise(resolve => setTimeout(resolve, 2000));
}import json
import os
import time
from urllib.request import Request, urlopen
api_key = os.environ["WAVESPEED_API_KEY"]
headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
payload = {
"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"
}
def request_json(url, data=None):
request = Request(url, data=data, headers=headers, method="POST" if data else "GET")
with urlopen(request) as response:
return json.load(response)
# 1. Submit the prediction.
body = request_json("https://api.wavespeed.ai/api/v3/wavespeed-ai/qwen-image/edit-multiple-angles", json.dumps(payload).encode())
task = body.get("data", body)
if not task.get("id"):
raise RuntimeError("Submission response did not contain a prediction id")
result_url = task.get("urls", {}).get("get") or f"https://api.wavespeed.ai/api/v3/predictions/{task['id']}/result"
# 2. Poll until the prediction finishes.
while True:
result_body = request_json(result_url)
result = result_body.get("data", result_body)
status = result.get("status")
if status == "completed":
print(result.get("outputs", []))
break
if status in {"failed", "cancelled", "timeout"}:
raise RuntimeError(result)
if status not in {"created", "processing"}:
raise RuntimeError(f"Unexpected status: {status}")
time.sleep(2)Qwen Image Edit Multiple Angles is a WaveSpeedAI model for image editing, exposed as a REST API on WaveSpeedAI. Generate specific camera angles from a single image using a 96-pose camera system. Control horizontal rotation, vertical tilt, and zoom to create front, side, back views and more. 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 result endpoint starting around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. The playground generates production-oriented Python, JavaScript, and cURL examples with timeouts, transient-error handling, and safe GET retries. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/wavespeed-ai/qwen-image-edit-multiple-angles.
Qwen Image Edit Multiple Angles starts at $0.025 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: `prompt`, `images`, `seed`, `distance`, `enable_base64_output`, `enable_sync_mode`. 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/qwen-image-edit-multiple-angles.
Median end-to-end generation time on WaveSpeedAI is around 9 seconds per request, based on recent successful runs. Queue time varies 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.