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Grok Imagine Image Edit

x-ai /

X-AI Grok Imagine Image enables precise image editing with xAI's Grok Imagine model. Transform and modify images using text prompts with AI-powered precision. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

image-to-image
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Let the man in the Figure sits at a cluttered desk in a dimly lit office, surrounded by stacks of papers, half-empty coffee cups, and a blinking computer monitor. He wears a worn gray button-up shirt and dark trousers, with one hand resting on the keyboard and the other gripping a pen. His expression is weary but focused, eyes fixed on the screen as if deep in thought or solving a complex problem. Natural light filters through blinds, casting soft shadows across the room. The office has a lived-in feel—posters on the wall, a water bottle on the desk, and a faint smell of stale coffee. Medium shot, eye-level perspective, realistic lighting, detailed textures, naturalistic atmosphere.

$0.025cho mỗi lần chạy·~40 / $1

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Let the man in the Figure sits at a cluttered desk in a dimly lit office, surrounded by stacks of papers, half-empty coffee cups, and a blinking computer monitor. He wears a worn gray button-up shirt and dark trousers, with one hand resting on the keyboard and the other gripping a pen. His expression is weary but focused, eyes fixed on the screen as if deep in thought or solving a complex problem. Natural light filters through blinds, casting soft shadows across the room. The office has a lived-in feel—posters on the wall, a water bottle on the desk, and a faint smell of stale coffee. Medium shot, eye-level perspective, realistic lighting, detailed textures, naturalistic atmosphere.

Let the man in the Figure sits at a cluttered desk in a dimly lit office, surrounded by stacks of papers, half-empty coffee cups, and a blinking computer monitor. He wears a worn gray button-up shirt and dark trousers, with one hand resting on the keyboard and the other gripping a pen. His expression is weary but focused, eyes fixed on the screen as if deep in thought or solving a complex problem. Natural light filters through blinds, casting soft shadows across the room. The office has a lived-in feel—posters on the wall, a water bottle on the desk, and a faint smell of stale coffee. Medium shot, eye-level perspective, realistic lighting, detailed textures, naturalistic atmosphere.

Mô hình liên quan

README

Grok Imagine Image Edit

Grok Imagine Image Edit is X-AI's image editing model that transforms existing images based on text prompts. Upload your source image and describe the changes you want — the model intelligently edits while maintaining visual coherence.

Why Choose This?

  • Text-driven editing Modify images using natural language instructions for intuitive control.

  • Context-aware modifications Understands scene structure and object relationships for coherent edits.

  • Style preservation Maintains the original image's visual quality during edits.

  • Prompt Enhancer Built-in tool to automatically improve your editing instructions.

  • Cost-effective Affordable per-image pricing for high-volume editing workflows.

Parameters

ParameterRequiredDescription
promptYesText instruction describing the desired edit
imageYesSource image to edit (URL or upload)

How to Use

  1. Upload your image — provide the source image you want to edit.
  2. Write your prompt — describe the changes you want to make.
  3. Run — submit and download your edited image.

Pricing

OutputCost
Per image$0.025

Best Use Cases

  • Photo Retouching — Remove unwanted objects, fix imperfections, enhance details.
  • Scene Modification — Change backgrounds, add or remove elements.
  • Style Transfer — Apply different visual styles to existing images.
  • Content Adaptation — Modify images for different contexts and platforms.
  • Creative Exploration — Experiment with variations of existing visuals.

Pro Tips

  • Use the Prompt Enhancer to refine your editing instructions.
  • Be specific about what to change and what to preserve.
  • Describe the desired outcome rather than the process (e.g., "the man wearing a red shirt" instead of "change the shirt color to red").
  • Use high-quality source images for better editing results.
  • Combine with Grok Imagine Image T2I to generate base images, then edit.

Notes

  • Both prompt and image are required fields.
  • Ensure uploaded image URLs are publicly accessible.
  • For best results, use clear and specific edit instructions.

Related Models

Lưu ý:Trang web này sử dụng các mô hình AI do bên thứ ba cung cấp.

Grok Imagine Image Edit API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/x-ai/grok-imagine-image/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 Grok Imagine Image Edit 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",
    "image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg"
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/x-ai/grok-imagine-image/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=$(printf '%s' "$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/x-ai/grok-imagine-image/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 ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg"
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
  `https://api.wavespeed.ai/api/v3/predictions/${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",
    "image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg"
}

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/x-ai/grok-imagine-image/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 = 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)

Grok Imagine Image Edit API — Frequently asked questions

What is the Grok Imagine Image Edit API?

Grok Imagine Image Edit is a xAI model for image editing, exposed as a REST API on WaveSpeedAI. X-AI Grok Imagine Image enables precise image editing with xAI's Grok Imagine model. Transform and modify images using text prompts with AI-powered precision. 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 Grok Imagine Image 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 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/x-ai/x-ai-grok-imagine-image-edit.

How much does Grok Imagine Image Edit cost per run?

Grok Imagine Image Edit starts at $0.025 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 Grok Imagine Image Edit accept?

Key inputs: `prompt`, `image`. 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/x-ai/x-ai-grok-imagine-image-edit.

How long does Grok Imagine Image Edit take to generate?

Median end-to-end generation time on WaveSpeedAI is around 21 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 Grok Imagine Image Edit outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (xAI). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.

Grok Imagine Image Edit | Fast Image Editing API | WaveSpeedAI