AI Inpainting

Selectively edit and modify specific areas of images using AI-powered intelligent fill.

AI Inpainting allows you to paint over areas of an image and have AI intelligently fill those regions based on your text prompt. This tool is perfect for removing unwanted objects, replacing elements, fixing imperfections, or adding new content to specific areas while maintaining seamless integration with the surrounding image.

Core Features

• Interactive mask editor for precise area selection
• Multiple brush sizes for detailed or broad masking
• AI-powered intelligent fill based on text prompts
• FLUX Fill model recommended for best boundary handling
• Adjustable strength and mask margin parameters
• Support for advanced settings: steps, CFG scale, scheduler, LoRA

How to Use

1. Upload Source Image: Load the image you want to edit.
2. Paint the Mask: Use the brush tool to paint over the areas you want to modify. White areas indicate regions to be replaced.
3. Enter Your Prompt: Describe what should appear in the masked region. Focus on what you want to see, not what you want to remove.
4. Select Model: FLUX Fill is recommended for superior boundary handling and seamless blending.
5. Adjust Settings (Optional):
   • Strength: Higher values allow more creative freedom in the masked area
   • Mask Margin: Improves edge blending (not supported by all models)
6. Generate: Click generate and view the inpainted result.

Parameter Guide

Strength

Controls how much the AI can deviate from the original image in the masked region. Higher values (0.8-1.0) give more creative freedom; lower values preserve more original context.

Mask Margin

Expands the influence area around the mask for better blending with surrounding pixels. Useful for seamless integration but not supported by FLUX Fill.

Steps

Number of denoising iterations. Higher values improve quality but increase processing time.

Best Practices

• Paint precisely over the exact area you want to modify
• Describe what should appear in the masked area, not what to remove
• FLUX Fill provides the best results for boundary handling and seamless integration
• Use Mask Margin for non-FLUX models to improve edge blending
• Start with default strength (0.85) and adjust based on results
• For object removal, describe the background that should fill the space

Use Cases

• Object Removal: Remove unwanted people, objects, or text from photos
• Content Replacement: Replace specific elements with new ones
• Photo Restoration: Fix damaged or missing parts of images
• Creative Editing: Add new elements that blend naturally
• Correction: Fix imperfections or errors in images

Notes

• Dimensions are automatically adjusted to model requirements (multiples of 64)
• Some parameters (negative prompt, strength, mask margin) may not be supported by all models
• Generation may consume credits depending on model and settings
• Download results for permanent storage