Ideogram AI Ideogram V3 Generate Transparent API Documentation
Playground
Try it on WaveSpeedAI!Ideogram V3 Generate Transparent creates high-quality images with transparent backgrounds from text prompts, perfect for logos, stickers, and design assets. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing.
Features
Ideogram V3 Generate Transparent generates high-quality images with a transparent background directly from text prompts. No manual background removal needed — the model outputs clean, isolated subjects ready for compositing, overlays, and design workflows from the start.
Why Choose This?
-
Native transparent background output Generates images with a clean alpha channel in a single step — no post-processing or background removal required.
-
Multiple rendering speed tiers Choose between flash, turbo, balanced, or quality to balance speed and output fidelity based on your workflow needs.
-
Flexible aspect ratios Supports multiple orientations for any platform or design format.
-
Strong prompt adherence Ideogram V3 delivers accurate text rendering and detailed scene composition from natural language descriptions.
-
Prompt Enhancer Built-in tool to automatically improve your text descriptions for richer results.
Parameters
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Text description of the image subject, style, and mood. |
| aspect_ratio | No | Output aspect ratio. Default: 1:1. |
| rendering_speed | No | Generation speed and quality tier: flash, turbo, balanced (default), or quality. |
How to Use
- Write your prompt — describe the subject, style, and visual details. Use the Prompt Enhancer for better results.
- Select aspect ratio — choose the format that fits your target design or platform.
- Select rendering_speed — flash or turbo for fastest output, balanced for standard use, quality for highest fidelity.
- Submit — download your transparent PNG image ready for compositing.
Pricing
| Rendering Speed | Cost per Image |
|---|---|
| flash | $0.03 |
| turbo | $0.03 |
| balanced | $0.06 |
| quality | $0.09 |
Best Use Cases
- Graphic Design & Compositing — Generate isolated subjects ready to place directly into any background or layout.
- Product Photography — Create clean product images on transparent backgrounds for e-commerce and marketing.
- Stickers & Overlays — Produce illustration and character assets for social media, messaging, and streaming overlays.
- Print & Merchandise — Generate transparent artwork for apparel, packaging, and print-on-demand workflows.
- UI & App Design — Create icons, illustrations, and visual elements with clean edges for digital interfaces.
Pro Tips
- Describe the subject clearly and avoid mentioning backgrounds — the model will handle transparency automatically.
- Use quality mode for detailed illustrations or fine-textured subjects where edge accuracy matters most.
- Use flash or turbo for rapid iteration when testing prompt directions before a final quality render.
- Include style cues like “watercolor”, “vector illustration”, or “3D render” to control the visual treatment of the transparent subject.
Notes
- Only prompt is required; all other parameters are optional.
- Output is a PNG file with a transparent background (alpha channel).
- Please ensure your content complies with Ideogram’s usage policies.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
set -euo pipefail
export WAVESPEED_API_KEY="your-api-key"
REQUEST_BODY=$(cat <<'JSON'
{
"prompt": "A cinematic ocean wave at sunrise, highly detailed",
"aspect_ratio": "1:1",
"rendering_speed": "balanced"
}
JSON
)
# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
-X POST "https://api.wavespeed.ai/api/v3/ideogram-ai/ideogram-v3/generate-transparent" \
-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 |
|---|---|---|---|---|---|
| prompt | string | Yes | - | Text description of the image to generate with transparent background. | |
| aspect_ratio | string | No | 1:1 | 1:1, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3 | The aspect ratio of the generated image. |
| rendering_speed | string | No | balanced | flash, turbo, balanced, quality | Controls the quality-speed tradeoff. flash is fastest, quality produces the best results. |
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 |