Ideogram V4.5 Text-to-Image generates high-quality images from text prompts with flexible quality, strong typography, and composition controls for posters, logos, marketing visuals, brand assets, and creative production workflows. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Idle

$0.06per run·~16 / $1

A handsome young man standing alone at a rainy city bus stop at night, wearing a dark wool coat and holding a round glass fishbowl with a bright orange goldfish inside. The bus stop light reflects on the wet pavement, and passing car lights streak softly in the background. His expression is thoughtful and slightly melancholic, while the goldfish seems to be staring out at the city. Cinematic urban realism, beautiful reflections, emotional atmosphere, highly detailed.
Ideogram V4.5 generates high-quality images from text descriptions with strong typography, composition, and prompt adherence. It is especially useful for posters, packaging concepts, advertising creatives, branded graphics, editorial artwork, and other designs where layout and readable text matter.
Choose between 1K and 2K output, multiple aspect ratios, and three quality tiers depending on your workflow and budget.
Typography-focused generation
Create images containing signs, headlines, labels, packaging text, and other designed typography.
Strong prompt adherence
Guide subjects, layout, lighting, visual style, and text placement directly through natural-language prompts.
Flexible framing
Choose from square, landscape, portrait, and widescreen aspect ratios.
1K and 2K output
Select the resolution that fits rapid iteration or higher-resolution production.
Three quality tiers
Choose low, medium, or high depending on the desired balance of cost and output quality.
Prompt expansion
Enable automatic prompt expansion to give the model additional interpretation of the original prompt.
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Text description of the image to generate. Supports 1–10000 characters. |
| resolution | No | Output resolution: 1k or 2k. Default: 1k. |
| aspect_ratio | No | Output aspect ratio: 1:1, 4:3, 3:4, 3:2, 2:3, 16:9, or 9:16. Default: 1:1. |
| quality | No | Generation quality: low, medium, or high. Default: medium. |
| enable_prompt_expansion | No | Expand the prompt before generation. Default: true. |
1k or 2k.low, medium, or high depending on your quality and cost requirements.Pricing is based only on the selected quality tier.
| Quality | Price per Image |
|---|---|
| Low | $0.03 |
| Medium | $0.06 |
| High | $0.22 |
The default medium quality request costs $0.06 per image.
resolution, aspect_ratio, and enable_prompt_expansion do not add separate charges.
low quality for rapid concept exploration before moving to higher-quality output.2k when additional output detail or larger final dimensions are needed.prompt is required.resolution defaults to 1k.aspect_ratio defaults to 1:1.quality defaults to medium.enable_prompt_expansion defaults to true.Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/ideogram-ai/ideogram-v4.5 with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Ideogram v4.5 below.
set -euo pipefail
: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"
REQUEST_BODY=$(cat <<'JSON'
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"resolution": "1k",
"aspect_ratio": "1:1",
"quality": "medium",
"enable_prompt_expansion": true
}
JSON
)
# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
-X POST "https://api.wavespeed.ai/api/v3/ideogram-ai/ideogram-v4.5" \
-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="https://api.wavespeed.ai/api/v3/predictions/$PREDICTION_ID/result"
# 2. Poll until the prediction finishes.
while true; do
RESPONSE=$(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' "$RESULT" | jq '.outputs'; break ;;
failed|cancelled|timeout|deleted) printf '%s\n' "$RESULT" | jq . >&2; exit 1 ;;
*) sleep 2 ;;
esac
doneconst submitUrl = "https://api.wavespeed.ai/api/v3/ideogram-ai/ideogram-v4.5";
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 ${apiKey}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"resolution": "1k",
"aspect_ratio": "1:1",
"quality": "medium",
"enable_prompt_expansion": true
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = `https://api.wavespeed.ai/api/v3/predictions/${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", "deleted"].includes(result.status)) throw new Error(JSON.stringify(result));
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",
"resolution": "1k",
"aspect_ratio": "1:1",
"quality": "medium",
"enable_prompt_expansion": True
}
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-v4.5", 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 = 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", "deleted"}:
raise RuntimeError(result)
time.sleep(2)Ideogram v4.5 is a Ideogram model for image generation, exposed as a REST API on WaveSpeedAI. Ideogram V4.5 Text-to-Image generates high-quality images from text prompts with flexible quality, strong typography, and composition controls for posters, logos, marketing visuals, brand assets, and creative production workflows. 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 Python, JavaScript, and cURL examples for submitting requests and polling results. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/ideogram-ai/ideogram-ai-ideogram-v4.5.
Ideogram v4.5 starts at $0.06 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`, `aspect_ratio`, `resolution`, `enable_prompt_expansion`, `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-v4.5.
Sign up for a free WaveSpeedAI account to claim starter credits, copy your API key from /accesskey, then call the endpoint shown in the API tab of the playground. The playground also auto-generates a code sample in Python, JavaScript, or cURL for the parameters you've set.
Commercial usage rights depend on the model's license, set by its provider (Ideogram). Check the provider's applicable terms and WaveSpeedAI's Terms of Service before commercial use.