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AI Photo Editor

Remove objects, swap backgrounds, enhance details, and transform photos — all with AI on one canvas.

GPT Image 2

How do I edit photos with AI?

Upload your photo to Renoise Canvas, then describe the edit you want in plain text. GPT Image 2 handles object removal, background replacement, style transfers, and compositional edits. Nano Banana Pro adds bold stylizations and graphic enhancements. For face-specific edits — swapping faces, changing expressions, or identity-preserving changes — use FacePass on the same Canvas.

Need to remove a background specifically? See the AI Background Remover guide

What you can edit

Every major AI photo editing task in one Canvas.

Object removal

Remove unwanted objects, people, or distractions and fill the area naturally with surrounding content.

Background replacement

Swap any background — replace it with a new scene, solid color, or custom environment you describe.

Style transfer

Transform a photo into an oil painting, watercolor, illustration, or any artistic style while keeping the subject.

Face editing

FacePass handles face swaps, expression changes, and identity-preserving modifications on portraits.

Enhancement and upscale

Sharpen details, restore old photos, fix lighting, and upscale resolution for print-ready quality.

Color and mood

Change color grade, shift seasons, alter time of day, or apply cinematic moods to any photo.

Edit any photo in 3 steps

Upload, describe your edit, and generate — all in one Canvas workflow.

  1. Uploading a photo to Renoise Canvas to begin AI photo editing
    Step 1

    Upload your photo

    Drag your photo onto Renoise Canvas. You can also start with a reference image to establish the base before editing.

  2. Selecting GPT Image 2 or FacePass from the Renoise Canvas model menu for photo editing
    Step 2

    Describe the edit

    Type exactly what you want changed — "remove the person in the background", "replace background with a tropical beach", "make it look like an oil painting". The more specific, the better.

  3. Reviewing the AI-edited photo result in Renoise Canvas before exporting
    Step 3

    Generate and refine

    Generate the edit, review the result, and iterate with follow-up prompts if needed. Export high-resolution results watermark-free on paid plans.

AI photo edits — before and after concepts

Object removal, background swap, style transfer, and portrait enhancement.

AI photo edit showing background replacement from urban street to dramatic golden-hour coastal landscape

Background replacement

City street portrait with background swapped to golden-hour coastal cliffs.

AI photo style transfer converting a landscape photograph into an impressionist oil painting with textured brushwork

Style transfer

Landscape photo transformed into an impressionist oil painting style.

AI object removal edit showing tourist landmark photo with crowds cleanly removed and background filled naturally

Object removal

Tourist photo with crowds removed — clean, empty scene with natural fill.

AI photo enhancement showing old faded portrait restored with sharp details, corrected colors, and improved lighting

Portrait enhancement

Old, faded portrait photo restored with enhanced detail and color correction.

GPT Image 2 vs Nano Banana Pro for photo editing

Both run in Renoise Canvas — pick the model for the edit you need.

For photo editingGPT Image 2RecommendedNano Banana Pro
Best forPrecise, instruction-following editsBold stylizations and graphic transformations
Object removal✓✓ (strong)✓
Background replacement✓✓ (strong)✓
Style transfer✓✓✓ (graphic heavy)
Photo enhancement✓✓
Face editingUse FacePassUse FacePass

AI photo editing vs traditional editing — how the workflow differs

Traditional photo editing is layer-based: you adjust sliders, mask areas, clone-stamp over distractions, and apply filters manually. It is precise and controllable, but it requires significant skill and time, especially for complex edits like object removal or background replacement.

AI photo editing flips this. You describe the outcome you want in plain language — "remove the lamppost and fill naturally", "replace the gray sky with a dramatic sunset", "make this look like a 1970s film photo" — and the model generates the result. It is dramatically faster for exploratory editing and for users who lack traditional photo editing skills.

The honest trade-off: AI editing is generative, not surgical. It does not give you pixel-by-pixel control. For professional retouching that requires precise control over specific pixels, traditional tools remain better. For exploratory transformations, style shifts, background swaps, and quick enhancements, AI editing is significantly faster and often produces surprising results.

For face edits specifically — swapping faces, preserving identity while changing expression or context — FacePass is the dedicated model. It is purpose-built for face consistency in ways that general image models are not. Use GPT Image 2 for everything else, and FacePass when the face itself is the edit.

Renoise capabilities used

AI photo editing draws on multiple specialized models in one Canvas.

GPT Image 2

Precise editing model — object removal, background replacement, style transfer, and enhancement.

Nano Banana Pro

Bold stylizations and graphic transformations for striking photo effects.

FacePass

Dedicated face swap and portrait editing — identity-preserving face modifications.

Canvas

Upload, edit, iterate, and compare edits all in one visual workspace.

Traditional photo editors vs Renoise

Traditional photo editors

  • Requires skilled layer management and masking
  • Object removal requires manual clone stamping
  • Background replacement needs precise cutout work
  • Style transfers require filter knowledge and time
  • Steep learning curve for complex edits

Renoise

  • Describe the edit in plain text — no manual masking
  • Object removal with a text prompt and automatic fill
  • Background replacement from a single text description
  • Style transfers in one generation — any art style
  • FacePass for precise face edits on the same canvas

Choose your plan

One plan unlocks GPT Image 2, Nano Banana Pro, FacePass, and every image and video model in Renoise.

Starter
$20/mo
Upgrade Plan
1,200©/mo
$1.67 / 100©Generate up to 3,000 images or 150 videos every month.
✓Watermark-free exports
✓20 FacePass Assets
✓Image Models
✓Video Models
Standard
$60/mo
Upgrade Plan
3,600©/mo
$1.67 / 100©Generate up to 9,000 images or 450 videos every month.
✓Watermark-free exports
✓50 FacePass Assets
✓Latest Image Models
GPT Image 2 Nano Banana 2 Nano Banana Pro Midjourney V7
✓Latest Video Models
Seedance 2.0 HappyHorse 1.0
◈ Best Value
Advance
$200/mo
Upgrade Plan
14,000©/mo
$1.43 / 100©Generate up to 35,000 images or 1,750 videos every month.
✓Watermark-free exports
✓Unlimited FacePass Assets
✓Latest SOTA Image Models
GPT Image 2 Nano Banana 2 Nano Banana Pro Midjourney V7
✓Latest SOTA Video Models
Seedance 2.0 HappyHorse 1.0
AI photo editing examples showing background replacement, style transfer, and object removal

Edit your photos with AI now

Describe any edit and generate it — object removal, backgrounds, styles, and face edits on one canvas.

Edit a photoSee AI face swap

Frequently asked questions

1.How does AI object removal work?

You upload your photo and describe what to remove — "remove the person on the left", "erase the car in the background". GPT Image 2 identifies the object and fills the removed area with contextually appropriate content based on the surrounding image. Results vary by complexity — clean backgrounds fill well; complex overlapping scenes may need a few iterations.

2.Can I swap the background of any photo?

Yes — upload your photo and describe the new background you want. "Replace the background with a golden-hour forest", "swap the background for a modern office interior", "put this on a white studio backdrop". GPT Image 2 handles background replacement well while attempting to preserve the main subject naturally.

3.What is FacePass and when should I use it?

FacePass is a specialized face editing model on Renoise. Use it when the face itself is the edit — swapping faces, preserving a person's identity in a new context, or making identity-aware portrait modifications. For non-face edits (backgrounds, objects, styles), use GPT Image 2.

4.Can Renoise upscale and enhance image quality?

Yes — describe the enhancement you want: "sharpen details", "improve resolution", "restore as if high quality". For dedicated image enhancement and upscaling, also see the /guides/ai-image-enhancer guide which covers resolution upscaling in depth.

5.Can I change the style of a photo to look like a painting?

Yes — this is one of the strongest use cases. Prompt: "transform this photo into an oil painting", "make it look like a watercolor illustration", "convert to anime style", "apply a 1970s film photo look". GPT Image 2 and Nano Banana Pro both handle style transfers well, with Nano Banana Pro tending toward more graphic, bold stylizations.

6.Does AI photo editing work on RAW files?

Renoise accepts standard image formats (JPEG, PNG, WebP). If you need to edit RAW files, convert to JPEG or PNG first using your camera software or Lightroom, then upload to Renoise for AI editing.

By Chloe, RenoiseLast reviewed Models verified: GPT Image 2, Nano Banana Pro

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