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ideogram-ai/ideogram-v4.5/edit

Ideogram V4.5 Image Edit transforms images with written instructions, reference images, masks, and precision controls, supporting targeted edits, visual refinements, composition changes, and professional creative workflows. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Image Editing
Input

Drag & drop or click to upload

preview

Drag & drop or click to upload

Output size, e.g. 2048*2048. Leave empty to match the source image.

Idle

Transform the stray cats into regal fantasy cats with subtle magical details: one has a tiny gold crown, one has luminous blue eyes, one has delicate embroidered collar ornaments, and another has faint shimmering fur patterns.

Keep them still recognizably cats and preserve the emotional realism of the scene. Elegant magical realism, refined fantasy detail, cinematic night atmosphere.

$0.06per run·~16 / $1

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ExamplesView all

Transform the stray cats into regal fantasy cats with subtle magical details: one has a tiny gold crown, one has luminous blue eyes, one has delicate embroidered collar ornaments, and another has faint shimmering fur patterns.

Keep them still recognizably cats and preserve the emotional realism of the scene. Elegant magical realism, refined fantasy detail, cinematic night atmosphere.

Transform the stray cats into regal fantasy cats with subtle magical details: one has a tiny gold crown, one has luminous blue eyes, one has delicate embroidered collar ornaments, and another has faint shimmering fur patterns. Keep them still recognizably cats and preserve the emotional realism of the scene. Elegant magical realism, refined fantasy detail, cinematic night atmosphere.

Related Models

README

Ideogram V4.5 Edit

Ideogram V4.5 Edit modifies an existing image using natural-language instructions, with optional reference images and mask-based control. Use it to change objects, colors, materials, text, layouts, and other visual elements while keeping the source image as the foundation.

Choose between regular editing and high-precision editing depending on how strongly unchanged areas need to be preserved.

Why Choose This?

  • Prompt-based image editing
    Modify an existing image with natural-language instructions.

  • Targeted visual changes
    Change objects, colors, materials, text, styling, and other image elements.

  • Reference-image guidance
    Add supporting images to guide appearance, products, subjects, or visual direction.

  • Mask-based editing
    Restrict changes to specific regions while preserving the rest of the image.

  • High-precision mode
    Use edit_precision=high when preserving unaffected image regions is especially important.

  • Four quality tiers
    Choose very_low, low, medium, or high depending on cost and output requirements.

Parameters

ParameterRequiredDescription
imageYesPublic URL of the source image to edit.
promptYesText instructions describing the desired edit. Supports 1–10000 characters.
reference_imagesNoOptional reference image URLs. Supports up to 4 images without a mask, or up to 3 when mask_url is provided.
mask_urlNoMask matching the source image dimensions. Black regions may be edited; white regions are preserved. The mask must contain both editable and preserved areas.
sizeNoOptional output dimensions in width*height format, e.g. 2048*2048. Leave empty to follow the source image.
edit_precisionNoEditing precision: regular or high. Default: regular.
qualityNoGeneration quality: very_low, low, medium, or high. Default: medium.

How to Use

  1. Upload the source image — Provide the image you want to modify.
  2. Write the edit instruction — Describe what should change and what should remain unchanged.
  3. Add reference images optional — Supply supporting images when appearance or style guidance is useful.
  4. Add a mask optional — Restrict editing to specific regions when precise localization is needed.
  5. Choose edit precision — Use regular for standard editing or high when preservation of unaffected details matters more.
  6. Choose quality — Select very_low, low, medium, or high.
  7. Submit — Generate and retrieve the edited image.

Pricing

Pricing is based only on the selected quality tier.

QualityPrice per Image
Very Low$0.008
Low$0.03
Medium$0.06
High$0.22

The default medium quality edit costs $0.06 per image.

edit_precision, size, mask_url, and the number of reference_images do not add separate charges.

Best Use Cases

  • Product variations — Change product colors, materials, finishes, or visual styling.
  • Advertising edits — Revise layouts, graphics, text, and campaign imagery.
  • Selective corrections — Modify a specific area while preserving the rest of the source image.
  • Interior styling — Change furniture, materials, colors, or decorative elements.
  • Typography edits — Revise text or designed visual elements inside an existing image.
  • Reference-guided editing — Use supporting images to guide products, subjects, or style changes.

Pro Tips

  • State the requested change directly instead of redescribing the entire source image.
  • Mention what should remain unchanged when preservation matters.
  • Use edit_precision=high when unaffected regions need stronger preservation.
  • Use a mask when the edit should be limited to a specific part of the image.
  • Keep reference images closely related to the requested change.
  • Use very_low or low quality for rapid iteration before moving to higher-quality output.
  • Check text, small details, and masked boundaries before publishing the final result.

Notes

  • Custom sizes are supported only for regular edits without a mask. Dimensions must be at least 256px and multiples of 32, with a maximum of 4,194,304 pixels and an aspect ratio no greater than 6:1.
  • Leave size empty to follow the source image.
  • For high-precision or masked edits, leave size unset.
  • Masks must match the source image dimensions and contain both black areas to edit and white areas to preserve.
  • Up to 4 reference images are supported, or 3 when using a mask. Only the source image is edited.
  • Large input images may be downscaled.

Related Models

  • Ideogram V4.5 — Generate images from text with typography, composition, and prompt control.
  • Ideogram V4.5 Edit — Edit existing images with prompts, references, masks, and precision control.
Note:This website uses AI models provided by third parties. Documentation prices are for reference and may be outdated. The Generate button shows an estimate; the final task charge prevails.

Ideogram v4.5 Edit API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/ideogram-ai/ideogram-v4.5/edit 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 Edit below.

HTTP example
set -euo pipefail

: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"

REQUEST_BODY=$(cat <<'JSON'
{
    "image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "edit_precision": "regular",
    "quality": "medium"
}
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/edit" \
  -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
done
Node.js example
const submitUrl = "https://api.wavespeed.ai/api/v3/ideogram-ai/ideogram-v4.5/edit";
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 ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "edit_precision": "regular",
        "quality": "medium"
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = `https://api.wavespeed.ai/api/v3/predictions/${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));
}
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 = {
    "image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "edit_precision": "regular",
    "quality": "medium"
}

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/edit", 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 Edit API — Frequently asked questions

What is the Ideogram v4.5 Edit API?

Ideogram v4.5 Edit is a Ideogram model for image editing, exposed as a REST API on WaveSpeedAI. Ideogram V4.5 Image Edit transforms images with written instructions, reference images, masks, and precision controls, supporting targeted edits, visual refinements, composition changes, and professional creative 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.

How do I call the Ideogram v4.5 Edit 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 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-edit.

How much does Ideogram v4.5 Edit cost per run?

Ideogram v4.5 Edit 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.

What inputs does Ideogram v4.5 Edit accept?

Key inputs: `prompt`, `image`, `reference_images`, `edit_precision`, `mask_url`, `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-edit.

How do I get started with the Ideogram v4.5 Edit API?

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.

Can I use Ideogram v4.5 Edit outputs commercially?

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.

llms.txt — ideogram-ai/ideogram-v4.5/edit for AI agents and LLMs