Fibo Edit

Edit images with maximum control using natural language or structured JSON instructions with masks.

Input

Input Example
Original

Output

Output Example
Generated

Upload your image and transform it in seconds

12,000+ images created this month

📄 About Fibo Edit
Key Features
Supports both natural language and structured JSON instructions for flexible editing control.
Optional mask input enables selective and targeted image modifications.
Negative prompt feature helps avoid unwanted elements or artifacts in the final image.
Customizable inference steps and guidance scale allow users to balance quality and speed.
Random seed functionality ensures consistent and reproducible editing results.
Efficient processing with generation times typically between 15-30 seconds per edit.
Pay-as-you-go credit system offers scalable access for all usage levels.
💡 Use Cases
Adjusting lighting and ambiance in photos for marketing campaigns.
Selective retouching of portraits or product images by masking specific areas.
Generating multiple style variations for creative projects using JSON instructions.
Removing or avoiding unwanted elements in images with negative prompts.
Batch editing images for social media or e-commerce listings.
Creating before-and-after visualizations for client presentations.
Rapid prototyping of visual concepts for designers and agencies.
🎯 Best For
🎯 Professional designers, photographers, marketers, and content creators seeking advanced and customizable AI image editing.
👍 Pros
Highly controllable editing with support for both simple and advanced instructions.
Selective editing capabilities via mask input for precision.
Transparent and reproducible results through seed control.
Fast processing times for efficient workflows.
Negative prompt feature minimizes common AI-generated artifacts.
⚠️ Considerations
Requires some familiarity with JSON for advanced instructions.
High-quality edits may increase processing time when using sync mode.
Optimal results depend on providing clear and specific prompts.
📚 How to Use Fibo Edit
1
Upload your reference image that you want to edit.
2
Optionally, add a mask image to define specific areas for modification.
3
Enter your editing instruction in plain English or use a structured JSON instruction for advanced control.
4
Adjust the number of inference steps and guidance scale as desired for quality and speed.
5
Use the negative prompt field to specify elements to avoid in the output.
6
Submit your request and download the enhanced image once processing is complete.
💡 Pro Tips for Fibo Edit
Master Mask-Based Selective Editing Upload a high-contrast mask image where white areas mark regions to edit and black areas preserve unchanged sections. Clean, sharp mask edges produce the most seamless results. For complex selections, create masks in external tools before uploading. This precision control sets Fibo Edit apart from simpler editors like OpenAI GPT Image 2 Edit, which applies changes globally rather than to targeted zones.
Combine Natural Language with Negative Prompts Write clear, specific instructions like 'change lighting to golden hour sunset' and pair them with negative prompts such as 'overexposed, washed out, harsh shadows' to refine output quality. This dual-input approach helps the model understand both what you want and what to avoid. The negative prompt field is particularly effective at eliminating common artifacts that can appear in AI edits, ensuring professional-grade results without manual cleanup.
Use JSON Instructions for Repeatable Workflows Switch to structured JSON instructions when you need consistent edits across multiple images. Format like {"operation":"lighting","style":"starlight nighttime","intensity":0.8} gives you reproducible parameters. Combined with the seed control, this approach is ideal for batch processing product photos or creating branded visual styles. While FLUX 2 Dev Edit offers strong general editing, Fibo Edit's JSON support provides unmatched repeatability for commercial workflows.
Balance Speed and Quality with Steps Start with 30-35 inference steps for quick previews, then increase to 45-50 for final deliverables. Lower step counts process faster but may introduce subtle artifacts or less refined transitions. Higher steps improve detail preservation and edge quality, especially important for high-resolution marketing assets. Monitor your credit usage and adjust based on project requirements—preview iterations cost less, while polished finals justify the extra steps.
Optimize Guidance Scale for Edit Strength Set guidance scale between 3-5 for subtle, natural-looking edits like lighting adjustments. Increase to 7-10 for dramatic transformations such as style transfers or major color shifts. Lower values let the model interpret instructions more freely, while higher values enforce stricter adherence to your prompt. Experiment with this parameter when your edits feel too conservative or overly aggressive—it's the key control for edit intensity without changing your instruction text.
Compare Results Across Editing Models Test the same prompt on Fibo Edit and alternatives like Qwen Image 2 Pro Edit or Nano Banana 2 Pro Edit using JAI Portal's side-by-side comparison. Each model has distinct strengths—Fibo Edit excels at mask-based precision, while others may handle certain artistic styles differently. Running parallel tests helps you identify which model best matches your specific visual requirements and budget, especially for recurring project types.
Frequently Asked Questions
You can enter instructions in plain English for simple edits or use structured JSON instructions for advanced and precise control. The model accepts both methods, making it accessible for beginners and power users alike.
Yes, Fibo Edit allows you to upload an optional mask image, which lets you target specific areas for editing while keeping the rest of the image unchanged. This ensures precise and localized modifications.
The negative prompt field lets you specify qualities or elements you want to avoid in the output, such as 'blurry' or 'artifacts.' This helps the model generate cleaner, higher-quality results.
Yes, Fibo Edit uses a pay-as-you-go credit system, making it flexible and cost-effective for all types of users, from those with occasional needs to professionals handling large volumes of edits.
Edits are typically processed within 15-30 seconds, depending on the complexity of the request and selected parameters. The sync mode may increase processing time if enabled.
Credit costs for Fibo Edit vary based on input resolution, number of inference steps, and whether you enable sync mode. Typical edits with default settings (50 steps, standard resolution) consume moderate credits per generation. Higher step counts and larger images increase costs proportionally. JAI Portal displays exact credit requirements before you submit each request, so you can preview costs and adjust parameters to fit your budget. The pay-as-you-go model means you only pay for edits you actually generate, with no monthly minimums or subscription fees. Bulk users can purchase larger credit packages at discounted rates for better per-edit economics on high-volume projects.
Yes, all images generated with paid credits on JAI Portal come with full commercial-use rights. This includes Fibo Edit outputs, which you can use in client work, marketing campaigns, product listings, social media ads, and any revenue-generating projects without additional licensing fees. The commercial rights apply regardless of whether you used natural language or JSON instructions, with or without masks. Free trial generations may have usage restrictions, so always generate final deliverables with purchased credits. JAI Portal's transparent licensing eliminates the legal uncertainty common with consumer AI tools, making Fibo Edit a reliable choice for professional agencies and businesses requiring clear IP ownership.
Fibo Edit is accessible through JAI Portal's API, enabling programmatic batch processing for developers and agencies managing large image libraries. You can automate workflows by sending arrays of images with consistent JSON instructions, making it efficient to apply uniform edits across hundreds of product photos or marketing assets. The API returns results asynchronously by default for optimal throughput, though sync mode is available when you need immediate responses. API documentation includes code samples in Python, JavaScript, and cURL. Rate limits scale with your account tier, and dedicated support is available for enterprise implementations requiring custom integration assistance or higher throughput guarantees.
Fibo Edit accepts standard image formats including JPEG, PNG, and WebP for both input images and masks. Maximum input resolution depends on your account tier, with standard accounts supporting images up to 2048x2048 pixels and premium tiers handling larger files. The model automatically optimizes processing for your input dimensions while maintaining aspect ratios. Output images are delivered in high-quality PNG format by default, preserving detail and minimizing compression artifacts. For best results, upload images with good lighting and minimal compression—heavily compressed JPEGs may introduce artifacts that the model can amplify. Mask images should match your input image dimensions exactly for precise alignment, though the system will resize mismatched masks automatically.
Fibo Edit performs well on complex scenes when you provide clear, specific instructions and leverage mask inputs to isolate objects. For images with multiple subjects, consider breaking edits into sequential steps—first adjust overall lighting, then use masks to refine individual elements. The negative prompt field is especially valuable in busy scenes, helping you avoid unintended changes to background objects or secondary subjects. If you need to edit multiple distinct objects differently, generate separate masked versions and composite them in post-production, or explore models like FLUX 2 Dev Edit which may handle certain multi-object scenarios with different tradeoffs. The seed parameter ensures you can regenerate consistent base edits while testing different mask configurations.
⚖️ How Fibo Edit Compares
Fibo Edit distinguishes itself in JAI Portal's image editing lineup through its unique combination of mask-based precision and dual instruction modes. While OpenAI GPT Image 2 Edit offers straightforward natural language editing and FLUX 2 Dev Edit delivers strong general-purpose transformations, Fibo Edit provides unmatched control for users who need to target specific image regions or maintain repeatable workflows. The optional mask input enables surgical edits that preserve untouched areas perfectly, a capability not available in most competitors. For users requiring even more advanced editing, Qwen Image 2 Pro Edit and Nano Banana 2 Pro Edit offer different quality-speed tradeoffs, but neither matches Fibo Edit's structured JSON instruction support for batch consistency. Choose Fibo Edit when you need selective editing with masks, reproducible results via JSON parameters, or detailed negative prompt control to avoid specific artifacts. It's ideal for product photography workflows, architectural visualization touch-ups, and any scenario where precision matters more than speed. For simpler global adjustments or portrait-specific work like AI Headshot Generator, other models may process faster. Compare models side-by-side on JAI Portal to find your perfect match, or start editing with pay-as-you-go credits at jaiportal.com/auth/signup.

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