1
Step 1
Upload the Original Image
Choose a JPG, PNG, or WebP image up to 18 MB. Keep enough surrounding context visible around the area you plan to change.
Free AI Generative Fill Online
Paint the part of an image you want to change, describe the replacement or guide it with a reference image, and let AI use that selection as the target when generating the edited image. Precise mask, prompt or reference-guided replacement.
Before
After
How to Use AI Generative Fill in 3 Steps
A focused selection and a concrete prompt help the replacement match the original scale, perspective, and lighting.
2
Step 2
Paint the Area to Replace
Brush over only the complete object or region that should change. Include its outer edge while preserving nearby surfaces and structural lines.
3
Step 3
Guide and Generate the Replacement
Enter a direct text prompt, or choose GPT Image 2 reference mode and upload a visual reference. Select the output quality, generate the edit, and compare it with the original.
Real Generative Fill
Results
See how a focused mask, text prompt, or reference image can replace one object while retaining the surrounding composition, perspective, textures, and light.
Built for photographers, designers, and product content creators
Croissant
Lemon Tart
Restyle Food Photography Without Reshooting
A croissant becomes a lemon tart while the plate, napkin, berries, table color, overhead framing, and natural shadows remain consistent.
Navy Collar
Red Bandana
Create a New Pet Accessory Variation
A navy collar changes into a red bandana while the retriever's face, fur, pose, studio background, and lighting stay intact.
Main Image
Result
ReferenceReplace a Product with a Reference Image
A separate product photo guides the replacement of a beige canvas bag with a structured burgundy leather tote while the flat-lay framing, nearby props, and scene lighting stay intact.
Wire Basket
Flower Basket
Redesign One Detail in a Lifestyle Photo
A black wire bicycle basket becomes a wicker basket filled with yellow flowers while the bicycle, coral wall, shadows, and street remain unchanged.
AI Generative Fill Examples and Use Cases
Use local image editing when the overall photo is already right but one object or detail needs a controlled replacement, addition, or redesign.
Replace an Object Using a Reference Image
Upload a separate product or object photo as visual guidance, paint the target area in the main image, and let GPT Image 2 rebuild the referenced subject at the correct scale, angle, and lighting.
Prompt: Use the burgundy leather tote from the reference image in the selected area, matching the top-down camera angle and soft window light.
Add a New Object to a Photo
Add a lamp, plant, decoration, sign, or product prop to a selected empty area while matching the existing perspective, lighting, and surface.
Prompt: Add a small ceramic table lamp with a cream shade on the selected side table.
Change Clothing Details and Accessories
Replace a bag, hat, scarf, shoe, jewelry item, or isolated clothing detail when it does not heavily overlap faces or hands.
Prompt: Replace the selected handbag with a structured black leather tote.
Redraw Furniture and Interior Details
Change a lamp, chair, wall decoration, cushion, or small furnishing without rebuilding the whole room.
Prompt: Replace the selected chair with a low cream boucle armchair.
Why Mask-Guided AI Inpainting Gives Better Control
Generative Fill separates two signals: the mask identifies where the requested new content should appear, while the full image remains part of the generation context.
01
The Mask Defines the Replacement Target
The painted mask tells the model where the requested new content should appear. The full image is still processed and regenerated; a smaller, accurate selection reduces visual drift around the target but does not pixel-lock the unselected area.
02
A Prompt or Reference Image Defines the New Content
Describe the replacement directly, or use a reference image when its appearance matters. Material, color, size, direction, and style details help the model rebuild the subject instead of pasting it over the scene.
03
Surrounding Pixels Supply Visual Context
The model reads nearby edges, surfaces, lighting, depth, and perspective to fit generated content into the scene. Leaving useful context visible improves consistency at the mask boundary.
04
Comparison Makes Refinement Faster
Review the original and generated image with a draggable divider. If scale or edge blending is wrong, return to the mask, narrow the selection, and make the prompt more specific.
Fix Common Generative Fill Problems
Most weak results come from an oversized mask, an ambiguous prompt, missing object boundaries, or too little surrounding context.
The Edit Changes More Than Expected
- Why it happens
- The mask covers background pixels or connects to another important object, so the model may interpret a larger area as part of the replacement target.
- How to fix it
- Clear the mask and repaint closer to the intended subject. Keep nearby faces, hands, product edges, and structural lines outside the selection.
The Replacement Is the Wrong Shape or Material
- Why it happens
- The prompt names a broad category but does not specify the visual attributes that distinguish the desired result.
- How to fix it
- Add the object type, material, color, scale, and orientation. Keep the instruction focused on the replacement instead of describing the entire image.
The Boundary Looks Pasted or Unnatural
- Why it happens
- The mask ends inside the old object edge or excludes a connected shadow, reflection, or contact area.
- How to fix it
- Extend the mask slightly past the visible edge and include connected visual evidence that must also change while preserving unrelated background detail.
The New Object Has the Wrong Scale or Perspective
- Why it happens
- The selection leaves too little context to infer the surface angle, depth, or available space.
- How to fix it
- Preserve table edges, floor lines, nearby objects, and shadows around the mask. Add size or placement guidance such as small, centered, or viewed from above.
Continue the Right Generative Editing Workflow
Choose the next tool according to whether your image needs a broader creative edit, more output resolution, or clean object removal before a replacement.
Before Editing
Edited
Continue Editing in AI Photo Editor
Open AI Photo Editor when the whole visual direction needs coordinated changes. Restyle the background color, furniture, decor, and lighting together, while Generative Fill remains the better choice for one focused replacement.
Open AI Photo Editor
Low Resolution
Upscaled
Upscale the Finished Replacement
Use Image Upscaler after the local edit looks correct and you need more pixels for a product listing, presentation, print, or large display. Finishing the replacement first prevents the upscaler from enlarging an object you still plan to change.
Upscale the Edited Image
With Object
Removed
Remove an Object Without Replacing It
Use Magic Eraser before Generative Fill when the goal is first to clear a distraction and reconstruct the original background. Choose Generative Fill instead when a specific new object, texture, or detail should occupy the selected area.
Remove an ObjectAI Generative Fill FAQ
What is AI Generative Fill?
AI Generative Fill is a mask-guided editing method that generates new pixels inside a selected image area from a text prompt and surrounding visual context. It is useful when you want to replace or redraw one part of an existing image.
How do I use AI Generative Fill online?
Upload an image, paint over the exact area you want to change, and describe what should appear there. Generate the edit, compare it with the original, and adjust the mask or prompt if the first result needs refinement.
Is AI Generative Fill free?
EzEnhancer AI Generative Fill is free to try with daily credits. The generation button shows the current credit cost before you submit a task. Reviewing or downloading a completed result does not use additional credits.
Is Generative Fill the same as AI inpainting?
They describe closely related workflows. AI inpainting is the technical process of reconstructing or generating pixels inside a masked region. Generative Fill is the user-facing workflow that combines a selection, a prompt, and contextual image generation.
Can I replace an object without changing the rest of the image?
The mask guides the model toward the intended replacement target, while the entire image is processed and regenerated as context. The model aims to keep the rest visually consistent, but it does not lock unselected pixels exactly; small variations can occur, and focused selections usually give the most stable results.
What should I write in a Generative Fill prompt?
Describe the replacement directly. Include object type, material, color, size, orientation, or placement when those details matter. For example, replace the selected mug with a small amber glass vase holding white tulips.
Can I use a reference image with AI Generative Fill?
Yes. Choose GPT Image 2 and switch to Reference Image mode, then upload a separate image of the object or subject you want to use as visual guidance. Paint the target area in the main image and optionally add a short replacement description for more precise control.
Which Generative Fill quality should I choose?
Low quality is useful for quick drafts, Medium provides a stronger balance of detail and credit cost, and High is best for final images or replacements with important textures and edges. The model selector and generation button show the current credit cost before processing.
Why does the replaced object look pasted onto the photo?
Repaint the mask around the complete original object with a small margin, keep useful scene context visible, and use a reference image with a similar viewing angle when possible. Describe the expected size, material, and placement so the generated object can match the original perspective, lighting, contact shadow, and depth of field.
Can I use Generative Fill without Photoshop?
Yes. EzEnhancer AI runs in your web browser, so you can create a mask, enter a prompt, and generate a local image edit without installing Photoshop or other desktop editing software.
Which image formats and file sizes are supported?
You can upload JPG, PNG, and WebP images up to 18 MB and export the generated result as JPG or PNG.
Are uploaded images stored or used for model training?
Your images are securely uploaded only for processing and are not used for model training. Temporary processing files are automatically deleted according to our retention policy.
When should I use Magic Eraser instead?
Use Magic Eraser when you want an object removed and the original background reconstructed. Use Generative Fill when you want a specific new object, texture, or visual detail generated inside the selected area.