X Ai Grok Imagine Image Quality Edit

X Ai Grok Imagine Image Quality Edit

Playground

xAI Grok Imagine Image Quality Edit is a fast AI image editing model that edits and enhances images with high-quality visual output using a dedicated RunPod workflow. Ready-to-use REST inference API for photo retouching, creative image edits, product image enhancement, marketing assets, social media visuals, and professional AI image editing workflows with simple integration, no coldstarts, and affordable pricing.

Features

xAI Grok Imagine Image Quality Edit

xAI Grok Imagine Image Quality Edit edits an input image using natural-language instructions, with support for multiple aspect ratios, two resolution tiers, selectable output formats, and multi-image generation in a single request. It is suitable for image refinement, style changes, composition adjustments, product visuals, and other prompt-driven image editing workflows.

Why Choose This?

• Prompt-based image editing Edit an existing image by describing the changes you want in natural language.

• Quality-focused edit workflow Built for higher-quality image editing with support for resolution tiers and multiple output formats.

• Flexible aspect ratios Choose auto to preserve the source framing, or select a preset aspect ratio for a new composition.

• Multiple image generation Generate up to 4 edited variations in one request with num_images.

• Multiple output formats Export results as jpeg, png, or webp.

• Simple pricing Pricing depends only on resolution and num_images.

Parameters

How to Use

1. Upload your image — provide the source image you want to edit.
2. Write your prompt — describe what should change and what should remain consistent.
3. Choose aspect ratio — keep auto to follow the source framing, or pick a preset ratio if you want a different composition.
4. Choose resolution — use 1k for lower cost or 2k for higher-quality output.
5. Set number of images — choose how many edited variations you want, from 1 to 4.
6. Choose output format — select jpeg, png, or webp.
7. Submit — run the model and download the edited images.

Example Prompt

Turn this product photo into a premium studio advertisement with soft cinematic lighting, a clean neutral background, realistic reflections, and polished commercial styling.

Pricing

Pricing is based on resolution and num_images.

Per Image

Example Costs

Billing Rules

• 1k costs $0.07 per image
• 2k costs $0.09 per image
• Total price = per-image price × num_images
• aspect_ratio and output_format do not affect pricing

Best Use Cases

• Product photo refinement — Upgrade product shots for ads, listings, and brand materials.
• Style changes — Rework an image into a new visual style or mood.
• Composition adjustments — Use aspect ratio controls to adapt the edit for different formats.
• Creative variations — Generate multiple edited options in one run with num_images.
• Marketing creatives — Produce polished visuals for campaigns, social media, and presentations.

Pro Tips

• Be specific about what should change and what should stay the same.
• Use auto aspect ratio when you want to preserve the original image framing.
• Use 1k for quick testing and 2k for higher-quality final outputs.
• Increase num_images when you want multiple edit variations from the same prompt.
• Choose png when image quality matters more than file size.

Notes

• Both prompt and image are required.
• This edit workflow supports one input image.
• num_images supports values from 1 to 4.
• aspect_ratio defaults to auto.
• resolution defaults to 1k.
• output_format defaults to jpeg.
• Pricing depends only on resolution and num_images.

Related Models

• xAI Grok Imagine Image Quality Text-to-Image — Generate images directly from prompts.

# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/x-ai/grok-imagine-image-quality/edit" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "aspect_ratio": "auto",
    "resolution": "1k",
    "num_images": 1,
    "output_format": "jpeg",
    "enable_base64_output": false
}'

# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"