Ideogram v2a is an image-generation model with state-of-the-art inpainting, precise prompt comprehension, and accurate text rendering. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
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$0.04실행당·~25 / $1

Man with a starry night sky in place of his face, wearing a suit, standing in a desert with melting clocks, inspired by Dali, ultra-detailed textures

Female cyborg with glowing blue eyes, chrome armor, neon-lit alley in futuristic Tokyo, rain reflections, cinematic lighting, hyper-realistic details

Old man with a straw hat harvesting in a rice field at dawn, mist rising in the distance, wrinkled hands and sun-aged skin, photorealistic country life

A woman with butterflies emerging from her hair, floating in a weightless dreamscape, pastel color palette, soft lighting, highly detailed surrealism

Vector art of a cute robot, in a speech bubble it says "Hello! This is Ideogram V2A" in a friendly font, the robot is in a garden

A beautiful landscape photo

A poster of Che Guevara, black and white photograph, 1960s style, typography, revolution, bold san serif font, high contrast, red and black, graphic design, realistic photo, film grain.

A vintage movie poster of Michael Jackson, 1980s style, typography, pop music, moonwalk, high contrast, bright colors, realistic photo, film grain

A classic movie poster of Audrey Hepburn, black and white, typography, romance, elegance, san serif font, high contrast, realistic photo, film noir style, grainy film.

A vibrant and surreal poster of David Bowie, with iconic lightning bolt makeup, typography, Ziggy Stardust, high contrast, bold colors, red, blue and white, graphic design, realistic photo, pop art style, film grain
Generate versatile images with exceptional typography using Ideogram V2a. This well-rounded model offers expanded style options including 3D rendering and anime — delivering balanced quality and speed for diverse creative projects.
Looking for the latest version? Try Ideogram V3 Balanced for the newest generation.
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Text description of the image you want to generate. |
| image | No | Source image for editing (upload or public URL). |
| mask_image | No | Mask to specify edit regions — white areas will be regenerated. |
| style | No | Output style: Auto, General, Realistic, Design, Render 3D, or Anime. Default: Auto. |
| aspect_ratio | No | Output format: 1:1, 16:9, 9:16, 4:3, or 3:4. Default: 1:1. |
| enable_base64_output | No | API only: Returns base64 string instead of URL. |
| Enable Safety Checker | No | Toggle content safety filtering. |
Flat rate per image generation.
| Output | Cost |
|---|---|
| Per image | $0.04 |
| Style | Description | Best For |
|---|---|---|
| Auto | Automatically selects the best style | General use, when unsure |
| General | Balanced, versatile output | Wide range of subjects |
| Realistic | Photorealistic, natural appearance | Photos, portraits, products |
| Design | Graphic design aesthetic | Posters, logos, marketing materials |
| Render 3D | 3D rendered appearance | Product renders, 3D scenes, objects |
| Anime | Japanese animation style | Anime characters, manga, illustrations |
| Model | Cost | Styles | Best For |
|---|---|---|---|
| Ideogram V2a | $0.04 | 6 (incl. 3D, Anime) | Stylized content, 3D, anime |
| Ideogram V2a Turbo | $0.04 | 6 (incl. 3D, Anime) | Fast stylized generation |
| Ideogram V3 Turbo | $0.03 | 4 | Fast general generation |
| Ideogram V3 Balanced | $0.06 | 4 | Balanced quality/speed |
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/ideogram-ai/ideogram-v2a with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Ideogram v2a below.
set -euo pipefail
: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"
REQUEST_BODY=$(cat <<'JSON'
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"style": "Auto",
"aspect_ratio": "1:1"
}
JSON
)
# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
-X POST "https://api.wavespeed.ai/api/v3/ideogram-ai/ideogram-v2a" \
-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/ideogram-ai/ideogram-v2a";
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 ${apiKey}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"style": "Auto",
"aspect_ratio": "1:1"
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
`https://api.wavespeed.ai/api/v3/predictions/${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 = {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"style": "Auto",
"aspect_ratio": "1:1"
}
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/ideogram-ai/ideogram-v2a", 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)Ideogram v2a is a Ideogram model for image generation, exposed as a REST API on WaveSpeedAI. Ideogram v2a is an image-generation model with state-of-the-art inpainting, precise prompt comprehension, and accurate text rendering. 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/ideogram-ai/ideogram-ai-ideogram-v2a.
Ideogram v2a starts at $0.040 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`, `image`, `aspect_ratio`, `enable_base64_output`, `mask_image`, `style`. 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/ideogram-ai/ideogram-ai-ideogram-v2a.
Median end-to-end generation time on WaveSpeedAI is around 13 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 (Ideogram). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.