X AI Grok Imagine Image Edit

X AI Grok Imagine Image Edit

Playground

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.

Features

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

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

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

• Grok Imagine Image Text-to-Image — Generate images from text prompts.

Authentication

For authentication details, please refer to the Authentication Guide.

API Endpoints

Submit Task & Query Result

set -euo pipefail

export WAVESPEED_API_KEY="your-api-key"

REQUEST_BODY=$(cat <<'JSON'
{
  "prompt": "A cinematic ocean wave at sunrise, highly detailed",
  "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 "Authorization: Bearer ${WAVESPEED_API_KEY}" \
  -H "Content-Type: application/json" \
  -d "${REQUEST_BODY}")

TASK=$(printf '%s' "${SUBMIT_RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "${TASK}" | jq -r '.id // empty')
if [ -z "${PREDICTION_ID}" ]; then
  printf 'Submission response did not contain a prediction id
' >&2
  exit 1
fi
RESULT_URL=$(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' "${RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
  STATUS=$(printf '%s' "${RESULT}" | jq -r '.status // empty')

  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

Parameters

Task Submission Parameters

Request Parameters

Response Parameters

Result Request Parameters

Result Response Parameters