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Ideogram V4 Text to Image and Image Edit API

ideogram-ai /

Ideogram V4 Text-to-Image and Image Edit API generates high-quality images, posters, logos, and marketing visuals from text prompts or reference images. It supports strong typography, sharp detail, flexible output sizes, 1K / 2K resolution tiers, and low / medium / high quality controls. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

image-to-image
Input

Idle

A young foreign woman in an elegant one-piece swimsuit standing on a quiet beach at sunset, soft golden light, gentle ocean waves, wind moving her hair and a light sheer cover-up, poised and natural posture, cinematic fashion editorial photography, refined composition, luxurious summer atmosphere, tasteful and artistic, high-end magazine style, realistic skin texture, soft shadows

$0.05per run·~20 / $1

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ExamplesView all

A young foreign woman in an elegant one-piece swimsuit standing on a quiet beach at sunset, soft golden light, gentle ocean waves, wind moving her hair and a light sheer cover-up, poised and natural posture, cinematic fashion editorial photography, refined composition, luxurious summer atmosphere, tasteful and artistic, high-end magazine style, realistic skin texture, soft shadows

A young foreign woman in an elegant one-piece swimsuit standing on a quiet beach at sunset, soft golden light, gentle ocean waves, wind moving her hair and a light sheer cover-up, poised and natural posture, cinematic fashion editorial photography, refined composition, luxurious summer atmosphere, tasteful and artistic, high-end magazine style, realistic skin texture, soft shadows

A bold urban mural, "YOU ARE HERE" in oversized 3D block letters, glowing sunset gradient with turquoise accents, surrounded by blooming flowers, doves, and leafy branches flowing outward from the text, photorealistic exterior wall, mural paint texture, positive reflective message, energetic public art style

A bold urban mural, "YOU ARE HERE" in oversized 3D block letters, glowing sunset gradient with turquoise accents, surrounded by blooming flowers, doves, and leafy branches flowing outward from the text, photorealistic exterior wall, mural paint texture, positive reflective message, energetic public art style

Related Models

README

Ideogram V4

Ideogram V4 generates high-quality images, posters, and logos from natural-language prompts with strong typography, sharp detail, and flexible output sizes. It supports both text-to-image and image-to-image workflows, with selectable resolution, aspect ratio, quality, and output format.

Why Choose This?

  • High-quality text-to-image generation — Turn natural-language prompts into polished visual outputs.
  • Image-to-image editing — Provide a source image and a prompt to restyle or edit it.
  • Strong design-oriented results — Create posters, public-art concepts, typography-led visuals, and graphic compositions.
  • Resolution and quality tiers — Pick 1k / 2k and low / medium / high to balance speed, detail, and cost.
  • Flexible aspect ratios — Generate square, portrait, landscape, ultra-wide, or vertical layouts.
  • Multiple output formats — Export results as jpeg, png, or webp.

Parameters

ParameterRequiredDefaultDescription
promptYesText description of the image to generate or edit.
imageNoOptional input image for image-to-image editing. When provided, the model edits this image guided by the prompt.
strengthNo0.65Image-to-image edit strength. Lower values keep the result closer to the source image; higher values allow stronger changes.
resolutionNo1kOutput resolution tier: 1k or 2k.
aspect_ratioNo1:1Output aspect ratio: 1:1, 3:2, 2:3, 4:3, 3:4, 16:9, 9:16, 21:9, 9:21.
qualityNomediumQuality tier: low, medium, or high.
output_formatNojpegOutput image format: jpeg, png, or webp.

How to Use

  1. Write your prompt — Describe the subject, style, composition, lighting, and mood.
  2. Upload an image (optional) — Provide image when you want to edit or restyle an existing image.
  3. Adjust strength (optional) — Use strength to control how strongly the source image should be changed.
  4. Choose output settings — Select resolution, aspect_ratio, quality, and output_format.
  5. Submit — Generate the final image.

Example Prompt

A bold urban mural, "YOU ARE HERE" in oversized 3D block letters, glowing sunset gradient with turquoise accents, surrounded by blooming flowers, doves, and leafy branches flowing outward from the text, photorealistic exterior wall, mural paint texture, positive reflective message, energetic public art style

Pricing

Price depends on selected resolution and quality.

Resolutionlowmediumhigh
1k$0.025$0.05$0.10
2k$0.05$0.10$0.20

Best Use Cases

  • Poster and logo generation — Create typography-led posters, logos, and graphic concepts.
  • Marketing visuals — Generate polished images for campaigns, ads, social posts, and branded content.
  • Image-to-image restyling — Use an input image as the source and guide the edit with a prompt.
  • Public-art and mural concepts — Generate bold visual compositions with clear text and strong graphic direction.
  • Creative ideation — Quickly explore different styles, layouts, and aspect ratios.

Pro Tips

  • Be specific about subject, material, composition, lighting, and mood.
  • If text inside the image matters, describe the exact wording and visual treatment.
  • Use 1:1 for square social graphics, 3:4 or 4:3 for posters, and 16:9 or 9:16 for widescreen or vertical layouts.
  • Use 2k + high for final assets where detail matters.
  • Use 1k + low for fast drafts.
  • For image-to-image, start around strength 0.5 to 0.65 for a guided edit, and raise it for stronger reinterpretation.

Notes

  • prompt is required.
  • image, strength, resolution, aspect_ratio, quality, and output_format are optional.
  • Default strength is 0.65.
  • Default resolution is 1k.
  • Default aspect_ratio is 1:1.
  • Default quality is medium.
  • Default output_format is jpeg.
  • The model returns a single generated image per request.
  • Pricing depends on selected resolution and quality.
  • Ensure uploaded image URLs are publicly accessible.
Note:This website uses AI models provided by third parties.

Ideogram v4 API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/ideogram-ai/ideogram-v4 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 v4 below.

HTTP example
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",
    "strength": 0.65,
    "resolution": "1k",
    "aspect_ratio": "1:1",
    "quality": "medium",
    "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/ideogram-ai/ideogram-v4" \
  -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
done
Node.js example
const submitUrl = "https://api.wavespeed.ai/api/v3/ideogram-ai/ideogram-v4";
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 ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "strength": 0.65,
        "resolution": "1k",
        "aspect_ratio": "1:1",
        "quality": "medium",
        "output_format": "jpeg"
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
  `https://api.wavespeed.ai/api/v3/predictions/${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));
}
Python example
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",
    "strength": 0.65,
    "resolution": "1k",
    "aspect_ratio": "1:1",
    "quality": "medium",
    "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/ideogram-ai/ideogram-v4", 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 v4 API — Frequently asked questions

What is the Ideogram v4 API?

Ideogram v4 is a Ideogram model for image editing, exposed as a REST API on WaveSpeedAI. Ideogram V4 Text-to-Image and Image Edit API generates high-quality images, posters, logos, and marketing visuals from text prompts or reference images. It supports strong typography, sharp detail, flexible output sizes, 1K / 2K resolution tiers, and low / medium / high quality controls. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Ideogram v4 API?

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-v4.

How much does Ideogram v4 cost per run?

Ideogram v4 starts at $0.050 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.

What inputs does Ideogram v4 accept?

Key inputs: `prompt`, `image`, `aspect_ratio`, `resolution`, `output_format`, `quality`. 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-v4.

How long does Ideogram v4 take to generate?

Median end-to-end generation time on WaveSpeedAI is around 37 seconds per request, based on recent successful runs. Queue time varies with global demand; live status is visible in the prediction record.

Can I use Ideogram v4 outputs commercially?

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.

Ideogram V4 Text to Image and Image Edit API | WaveSpeedAI