xAI Grok Imagine Image v2.0 Edit

x-ai/grok-imagine-image-v2.0/edit

x-ai/grok-imagine-image-v2.0/edit. Esplora API di modelli per immagini, video e scambio volto. Prova un modello e integralo tramite un’unica API REST.

Modelli correlati

xAI Grok Imagine Image v2.0 Edit Modelli correlati 1

Parametri completi, schema di output e prezzi aggiornati

Marketplace delle API per modelli IAUna piattaforma per tuttoPiù popolareTerminiEsplora API di modelli per immagini, video e scambio volto. Prova un modello e integralo tramite un’unica API REST.
images *Imagesimage_upload—image/* · 1–5 items
prompt *Prompttextarea—≤ 5000 chars
resolutionResolutionselect2k1k | 2k
qualityQualityselectmediumlow | medium
nImage Countslider11 ~ 10

Parametri completi, schema di output e prezzi aggiornati

Scopri di piùUna piattaforma per tuttoEsplora API di modelli per immagini, video e scambio volto. Prova un modello e integralo tramite un’unica API REST.
imagesarray<string>

API

Esplora API di modelli per immagini, video e scambio volto. Prova un modello e integralo tramite un’unica API REST.

cURL
# 1) Submit — returns { "task_uuid": "..." }
curl -X POST "https://www.namifusion.com/api/v1/marketplace/run/x-ai/grok-imagine-image-v2.0/edit" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "input": {
    "images": [
      "https://d1s3annbwribom.cloudfront.net/marketplace/examples/2026/08/18/d0bee8950611.jpeg"
    ],
    "prompt": "Change the mug design to a minimalist blue geometric pattern, add a subtle coffee steam effect rising from the cup, and enhance the lighting for a polished commercial product look while keeping the background clean and neutral.",
    "resolution": "2k",
    "quality": "medium",
    "n": 3
  }
}'

# 2) Poll until status is "completed", then read the output URLs
curl "https://www.namifusion.com/api/v1/marketplace/run/tasks/TASK_UUID" \
  -H "Authorization: Bearer YOUR_API_KEY"
Python
import time, requests

API_KEY = "YOUR_API_KEY"
HEADERS = {"Authorization": f"Bearer {API_KEY}"}

# 1) Submit
resp = requests.post(
    "https://www.namifusion.com/api/v1/marketplace/run/x-ai/grok-imagine-image-v2.0/edit",
    headers=HEADERS,
    json={
        "input": {
            "images": [
                "https://d1s3annbwribom.cloudfront.net/marketplace/examples/2026/08/18/d0bee8950611.jpeg"
            ],
            "prompt": "Change the mug design to a minimalist blue geometric pattern, add a subtle coffee steam effect rising from the cup, and enhance the lighting for a polished commercial product look while keeping the background clean and neutral.",
            "resolution": "2k",
            "quality": "medium",
            "n": 3
        }
    },
)
resp.raise_for_status()  # 401/402/429/5xx stop here instead of polling a bad task
task = resp.json()

# 2) Poll until a terminal state (completed / failed / cancelled).
#    This model is allowed up to 600s server-side.
deadline = time.time() + 660
while task.get("status") not in ("completed", "failed", "cancelled"):
    if time.time() > deadline:
        raise TimeoutError(f"still {task.get('status')} — keep the task_uuid and poll later")
    time.sleep(3)
    poll = requests.get(f"https://www.namifusion.com/api/v1/marketplace/run/tasks/{task['task_uuid']}", headers=HEADERS)
    poll.raise_for_status()
    task = poll.json()

print(task["status"], task.get("output"))
JavaScript
const API_KEY = "YOUR_API_KEY";
const HEADERS = { Authorization: `Bearer ${API_KEY}` };

// 1) Submit
const resp = await fetch("https://www.namifusion.com/api/v1/marketplace/run/x-ai/grok-imagine-image-v2.0/edit", {
  method: "POST",
  headers: { ...HEADERS, "Content-Type": "application/json" },
  body: JSON.stringify({
    "input": {
      "images": [
        "https://d1s3annbwribom.cloudfront.net/marketplace/examples/2026/08/18/d0bee8950611.jpeg"
      ],
      "prompt": "Change the mug design to a minimalist blue geometric pattern, add a subtle coffee steam effect rising from the cup, and enhance the lighting for a polished commercial product look while keeping the background clean and neutral.",
      "resolution": "2k",
      "quality": "medium",
      "n": 3
    }
  }),
});
if (!resp.ok) throw new Error(`submit failed: ${resp.status} ${await resp.text()}`);
let task = await resp.json();

// 2) Poll until a terminal state (completed / failed / cancelled).
//    This model is allowed up to 600s server-side.
const deadline = Date.now() + 660 * 1000;
while (!["completed", "failed", "cancelled"].includes(task.status)) {
  if (Date.now() > deadline) throw new Error(`still ${task.status} — keep the task_uuid and poll later`);
  await new Promise((r) => setTimeout(r, 3000));
  const poll = await fetch(`https://www.namifusion.com/api/v1/marketplace/run/tasks/${task.task_uuid}`, { headers: HEADERS });
  if (!poll.ok) throw new Error(`poll failed: ${poll.status}`);
  task = await poll.json();
}

console.log(task.status, task.output);

Documentazione API

xAI Grok Imagine Image v2.0 Edit

Cost-effective prompt-driven image editing with no coldstarts.

xAI Grok Imagine Image V2.0 Edit transforms input images with natural language prompts, producing targeted modifications, visual refinements, and creative variations. Configurable resolution and quality balance editing precision, latency, and cost for marketing updates, social content, and everyday production workflows.

🚀 Key Features

  • Prompt-driven editing: Describe the change in natural language, no manual masking required.
  • Multi-reference editing: Up to 5 input images per request for blending, transfer, and cross-image consistency.
  • Configurable resolution: 1k and 2k outputs to trade speed and cost against detail.
  • Configurable quality tier: low and medium cover everything from fast previews to final renders.
  • Batch output: Up to 10 edited results per request for side-by-side comparison.
  • No coldstarts: Suited to latency-sensitive online applications and batch production.

🛠️ Specifications

ItemDetail
ArchitecturePrompt-guided image editing model
Task typeImage editing
Input1–5 images (array) + prompt
Input formatsjpg, jpeg, png, webp
OutputEdited image
Images per request1–10 (n, default 1)
Resolution1k, 2k (default: 2k)
Qualitylow, medium (default: medium)
LatencyNot published; stable inference with no coldstarts
WorkflowsVisual refinement, creative iteration, marketing updates, production pipelines

Example prompts

  • Replace the product background with a clean light-grey studio scene, preserving subject detail and realistic shadows.
  • Grade this street photo toward a cinematic dusk mood with warm lighting and aerial perspective.
  • Change the outfit to modern minimalist styling while keeping the original pose and composition.

💰 Pricing

QualityResolutionPrice per image
low1k$0.04
low2k$0.06
medium1k$0.06
medium2k (default)$0.08
Input image$0.01 / image

Billing notes

  • Priced by quality tier x resolution; all four combinations differ.
  • Total = price per image x n (number of images) + $0.01 x number of input images.
  • Input images are charged once per request and do not scale with n.
  • When quality and resolution are not specified, billing uses the defaults medium + 2k.

💡 Best Use Cases

  • E-commerce and retail: Refine product backgrounds, lighting, palette, and presentation for consistent listings.
  • Social content production: Generate multiple visual variants of one asset for different platforms and campaigns.
  • Marketing asset updates: Low-cost iteration on ad creatives, posters, and brand visuals.
  • Creative and design workflows: Explore editing directions quickly before committing to final design.

🔗 Related Models

  • xAI Grok Imagine Image v2.0 Text to Image: Generate new images from a prompt with no input image.
  • xAI Grok Imagine Video v1.5 Image to Video: Animate the edited image into a video.

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