Z-Image Turbo Inpaint

Fill masked areas in images with text prompts, super fast.

Output

Output Example
Generated

Upload your image and transform it in seconds

12,000+ images created this month

📄 About Z-Image Turbo Inpaint
Key Features
Ultra-fast inpainting with Tongyi-MAI’s 6B model for seamless and precise image editing.
Supports text-to-image inpainting—generate new content by describing your vision in natural language.
Flexible input options: upload an original image and a custom mask to define inpainted areas.
Multiple image sizes and aspect ratios, including square, portrait, and landscape formats.
Customizable inference steps, controlnet conditioning, and strength for tailored results.
Output in JPEG, PNG, or WebP formats and generate up to four images at once for easy comparison.
Enhanced prompt expansion and robust safety checker for improved results and user protection.
💡 Use Cases
Removing unwanted objects or blemishes from photographs.
Restoring damaged or missing parts of historical images.
Changing or updating backgrounds for product photography.
Creative retouching and artistic transformation of portraits.
Generating multiple visual options for marketing or social media.
Enhancing visual storytelling in comics, books, or digital art.
Rapid iteration and prototyping for design projects.
🎯 Best For
🎯 Professional designers, marketers, content creators, photographers, and anyone seeking fast, high-quality AI-powered image editing.
👍 Pros
Delivers high-quality, seamless inpainting results in seconds.
Highly customizable with advanced controls for precise edits.
Supports both photorealistic and creative image transformations.
Flexible output formats and batch generation speed up workflows.
No fixed subscription—pay-as-you-go access for maximum flexibility.
⚠️ Considerations
Requires user-supplied mask images for targeted inpainting.
Advanced controls may have a learning curve for beginners.
Output quality may vary depending on prompt clarity and image complexity.
Internet connection required for cloud-based processing.
📚 How to Use Z-Image Turbo Inpaint
1
Upload your original image that you want to edit.
2
Upload a mask image highlighting the area to be inpainted (white marks the editable region).
3
Enter a detailed text prompt describing how you want the masked area to appear.
4
Select image size, output format, and adjust settings like inference steps or conditioning as needed.
5
Choose the number of images to generate and enable optional features such as prompt expansion or safety checker.
6
Click 'Generate' and download your inpainted images once processing is complete.
💡 Pro Tips for Z-Image Turbo Inpaint
Create Clean, High-Contrast Masks For best inpainting results, ensure your mask image has sharp, clean edges with pure white marking the areas to replace. Blurry or gray mask boundaries can cause artifacts or blending issues. Use simple image editing tools to create binary black-and-white masks before uploading. If you need more flexible editing without manual masking, consider FLUX 2 Dev Edit which supports text-based instruction editing without requiring separate mask files.
Balance Inference Steps and Speed The default 20 inference steps deliver excellent quality for most use cases, but you can reduce to 10-15 steps for faster results when speed matters more than perfection. For maximum detail and seamless blending in complex scenes, increase to 25-30 steps. Pair this with the acceleration setting—choose 'regular' for balanced performance or 'high' for ultra-fast generation when working on tight deadlines or iterating rapidly through multiple concepts.
Write Detailed, Context-Aware Prompts Describe not just the object you want to add, but also lighting, style, and how it should integrate with the surrounding scene. For example, instead of 'a tree,' write 'a tall oak tree with afternoon sunlight casting shadows to the left, matching the warm tones of the beach scene.' Enable prompt expansion for an extra quality boost. For advanced portrait edits, FLUX 2 Face to Full Portrait offers specialized facial transformation capabilities.
Adjust Control Scale for Blending The control_scale parameter (default 0.75) determines how strongly the mask influences the generation. Lower values (0.5-0.6) allow more creative freedom and smoother blending with surroundings, while higher values (0.8-0.95) enforce stricter adherence to the masked region. Experiment with control_start and control_end to fine-tune when the mask conditioning activates during generation, particularly useful for complex multi-object scenes requiring precise spatial control.
Generate Multiple Variations Simultaneously Set num_images to 2-4 to generate multiple inpainted versions in one run, giving you instant options to compare and select the best result. This is especially valuable when working with ambiguous prompts or complex scenes where slight variations can dramatically affect quality. Save time and credits by batch-generating rather than running separate requests. For broader image editing tasks, Qwen Image 2 Pro Edit offers instruction-based editing with comparable batch capabilities.
Match Output Format to Your Workflow Choose PNG for images requiring transparency or maximum quality preservation, JPEG for smaller file sizes suitable for web use, and WebP for the best balance of quality and compression. PNG is ideal for design work that requires further editing, while JPEG works well for final social media or marketing assets. If you're restoring historical photos or working with archival content, PNG ensures no additional compression artifacts are introduced during the inpainting process.
Frequently Asked Questions
Z-Image Turbo Inpaint is designed for fast, high-quality inpainting—replacing or restoring specific areas in an image using AI. It is ideal for object removal, content restoration, creative edits, and background changes.
You provide a mask image indicating the area to be edited, along with a text prompt describing what you want in that region. The model uses this input to seamlessly generate the desired content.
Yes, you can choose from JPEG, PNG, or WebP output formats and select from several image sizes and aspect ratios to match your project needs.
Pricing varies by model and is based on a pay-as-you-go credit system, allowing you to pay only for what you use without fixed subscriptions.
Yes, the model includes an optional safety checker to help prevent the generation of unsafe or inappropriate content, ensuring secure use for all users.
Z-Image Turbo Inpaint operates on JAI Portal's pay-as-you-go credit system, with pricing determined by image size, number of images generated, and optional features like prompt expansion. Typical generations range from a few credits for standard square images to more for larger resolutions or batch outputs. Enabling prompt expansion adds a small additional cost per generation. Unlike subscription models, you only pay for what you actually generate, making it cost-effective for occasional users or those with variable workloads. Check the model's pricing details in your JAI Portal dashboard before generating, and monitor your credit balance to stay within budget. For users requiring frequent inpainting, buying credits in bulk often provides better value.
Yes, all images generated using paid credits on JAI Portal come with full commercial-use rights, including those created with Z-Image Turbo Inpaint. This means you can use your inpainted images in client projects, marketing materials, product listings, social media campaigns, print media, and any other commercial applications without additional licensing fees. Free trial generations may have different usage terms, so always verify your credit status before using outputs commercially. This commercial-use guarantee applies across JAI Portal's entire model library, including alternatives like OpenAI GPT Image 2 Edit and Nano Banana 2 Pro Edit, giving you legal peace of mind for professional work.
Z-Image Turbo Inpaint supports flexible image sizing with dimensions ranging from 1024 to 4096 pixels in width and height. You can choose from preset aspect ratios including square HD, standard square, portrait 4:3, portrait 9:16, landscape 4:3, and landscape 16:9, or select 'custom' to define specific dimensions within the supported range. The model automatically handles resolution scaling while maintaining quality, making it suitable for everything from social media graphics to high-resolution print work. Larger resolutions consume more credits and take slightly longer to process, so balance your quality needs with project requirements. For specialized portrait work at specific resolutions, AI Headshot Generator offers optimized output sizing for professional headshots.
If you're seeing artifacts, unnatural blending, or unexpected results, start by improving your mask quality—ensure it has clean edges and accurately covers only the area you want to replace. Next, refine your prompt to be more specific about lighting, style, and context matching the original image. Try adjusting the strength parameter (default 1.0) to lower values like 0.7-0.85 for more subtle blending, or increase inference steps to 25-30 for better quality. The control_scale setting also affects blending—lower it to 0.6-0.65 if results look too rigid or artificial. If problems persist, try generating multiple variations to see if it's a random seed issue. For different editing approaches that don't require masks, explore Bytedance Seedream v5 Lite Edit which uses instruction-based editing.
Yes, JAI Portal provides API access to Z-Image Turbo Inpaint and all platform models, enabling seamless integration into automated workflows, custom applications, or batch processing pipelines. The API accepts the same parameters available in the web interface—image URLs, mask URLs, prompts, and all advanced settings—allowing you to programmatically generate inpainted images at scale. This is ideal for e-commerce platforms needing automated product photo editing, content management systems requiring bulk image restoration, or creative tools building AI-powered features. API documentation includes code examples in multiple languages, authentication details, and rate limit information. You can also chain Z-Image Turbo Inpaint with other JAI Portal models like Qwen Image 2 Edit to create sophisticated multi-step image processing pipelines. API usage follows the same pay-per-use credit model as the web interface.
⚖️ How Z-Image Turbo Inpaint Compares
Z-Image Turbo Inpaint stands out in JAI Portal's image editing lineup for its speed-optimized architecture and mask-based precision editing. Powered by Tongyi-MAI's 6B model, it delivers remarkably fast inpainting—typically 8-15 seconds—making it ideal when you need quick turnaround on object removal, content restoration, or targeted replacements. Unlike instruction-based editors like FLUX 2 Dev Edit or Qwen Image 2 Pro Edit that interpret natural language editing commands, Z-Image Turbo Inpaint requires you to supply a mask image, giving you pixel-perfect control over exactly which regions are modified. This makes it superior for surgical edits where precision matters—removing specific objects, filling damaged areas, or replacing defined elements. If you prefer not to create masks manually, OpenAI GPT Image 2 Edit offers a simpler prompt-only interface, though with less spatial precision. For specialized portrait transformations, FLUX 2 Face to Full Portrait excels at facial edits, while Nano Banana 2 Pro Edit provides instruction-based editing with strong prompt adherence. Choose Z-Image Turbo Inpaint when you need fast, mask-controlled inpainting with granular parameter tuning—particularly for batch processing, restoration work, or scenarios where you're already working with masks from design software. Compare models side-by-side in JAI Portal's model comparison view, or sign up to test with free credits and find your ideal editing workflow.

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