AI Image Editor

giz.ai Image editor

Edit an image without losing what matters

Edit · Preserve · Combine References

Upload a photo or several references, describe the exact change, and preserve identity, products, typography, layout, lighting, or composition with an editing-capable AI model.

Explore image models

AI image editing examples

Production-ready AI image editing prompts

GPT Image 2 generated launch poster with large readable headline

See exact generation prompt

Square editorial poster. Exact headline "CREATE WITHOUT WAITING". Cream paper, black geometric blocks, small AI image thumbnails, no extra text.

Readable launch posterTypography and layout

Choose how to continue

Retouch regularly without locking every edit

Use current included access for an initial look. A plan is the primary offer for repeat portrait work, while non-expiring credits remain available for occasional edits.

Upgrade for regular retouching Buy credits once

Change only what you name

Separate the requested transformation from the identity, geometry, labels, layout, and lighting that must remain fixed.

Multi-reference control

Assign each image a role such as base scene, product, pose, palette, texture, style, or layout.

Readable visual text

Create and revise posters, labels, UI, diagrams, packaging, and localized graphics with exact quoted copy.

Editing-capable models only

The picker and catalog include only live image models whose input contract accepts images.

Choose an AI image editing model

KREAKREA 2 Turbo

ImageFree · 4 per 2 hoursAfter allowance · ≈ $0.022/image

Input → output: text / image → image
Released: May 12, 2026
Capabilities: Identity editing · Character sheets · Inpainting · Outpainting
Resolution: 512–2048 px
Formats: PNG · JPG · WEBP
References: Up to 2 images

Fast aesthetic image generation, identity-aware editing, character sheets, inpainting, and outpainting with KREA 2 Turbo.

Black Forest LabsFLUX.2 [klein] 9B

ImageFree · 2 per hourAfter allowance · ≈ $0.01/image

Input → output: text / image → image
Released: Jan 23, 2026
Capabilities: Edit
References: Up to 4 images
Resolution: 128–2048 px
Formats: JPG · PNG · WEBP

Balanced FLUX.2 image model for prompt accuracy, editing, references, and fast production use.

Black Forest LabsFLUX.1 Schnell

ImageFree · 4 per 2 hoursAfter allowance · ≈ $0.0033/image

Input → output: text / image → image
Released: Aug 1, 2024
Capabilities: Fast generation · Prompt adherence · Variations
Resolution: 512–2048 px
Formats: PNG · JPG · WEBP
References: Up to 1 image

Fast FLUX image model for quick text-to-image drafts, variations, and lightweight edits.

Stability AISDXL

ImageFree · 3 per 2 hoursAfter allowance · ≈ $0.0066/image

Input → output: text / image → image
Released: Jul 26, 2023
Capabilities: LoRA · ControlNet · Inpainting
Resolution: 512–1536 px
Formats: PNG · JPG · WEBP
References: ControlNet · Guide image

Flexible SDXL workflow with checkpoint, LoRA, ControlNet, inpainting, and style controls.

Stability AIStable Diffusion 1.5

ImageFree · 3 per 2 hoursAfter allowance · ≈ $0.0044/image

Input → output: text / image → image
Released: Oct 20, 2022
Capabilities: Checkpoints · LoRA · Inpainting
Resolution: 512–1024 px
Formats: PNG · JPG · WEBP
References: Checkpoints · LoRA

Classic SD 1.5 workflow for fast image generation with many checkpoints and LoRAs.

ByteDanceSeedream 5.0 Lite

ImageFree · 1 per dayAfter allowance · ≈ $0.025/image

Input → output: text / image → image
Released: Feb 24, 2026
References: Up to 14 images
Formats: JPG · PNG · WEBP

ByteDance image model for fast generation, reference images, and polished social-ready visuals.

Black Forest LabsFLUX.2 [flex]

ImageFree · 1 per dayAfter allowance · ≈ $0.132–0.264/image

Input → output: text / image → image
Released: Nov 25, 2025
Capabilities: Edit
Resolution: 768–2048 px
Formats: JPEG · PNG
References: Up to 4 images

Flexible FLUX.2 model for higher-control image generation and reference-guided editing.

Black Forest LabsFLUX.2 [pro]

ImageFree · 1 per dayAfter allowance · ≈ $0.0495–0.0825/image

Input → output: text / image → image
Released: Nov 25, 2025
Capabilities: Edit
Resolution: 768–2048 px
Formats: JPEG · PNG
References: Up to 4 images

Higher-quality FLUX.2 model for polished visuals, detailed prompts, and production images.

PramaBackground Remover

ImageFree · 4 per 2 hoursAfter allowance · ≈ $0.0198/image

Input → output: image → image
Released: Jan 20, 2025
Input: Image required
Formats: PNG (Transparent)

Background removal model that isolates the subject and outputs a clean cutout from an image.

S-Lab, NTURestoring old photo

ImageFree · 1 per day

Input → output: image → image
Released: Aug 8, 2022
Capabilities: Face restoration · Upscale
Input: Image required
Resolution: Up to 4K upscale
Formats: PNG · JPG · WEBP

Face restoration model for repairing old, blurry, damaged, or low-resolution portraits.

Jason AnticColourising old photo

ImageFree · 1 per day

Input → output: image → image
Released: May 20, 2020
Capabilities: Photo colorization · Restoration
Input: Image required
Resolution: Up to 2048 px
Formats: PNG · JPG · WEBP

Photo colorization model for adding natural color to black-and-white or faded images.

OpenAIGPT Image

ImageUpgrade required

Input → output: text / image → image
Released: Sep 8, 2026
In / out price: $5.5 in · $33 out /1M tokens
Capabilities: Edit · Transparency
Resolution: 1024–3840 px (1K · 2K · 4K)
Formats: PNG · JPEG · WEBP

OpenAI image model for precise prompt following, references, text rendering, and edits.

OpenAIGPT Image 2.5 Lite

ImageUpgrade required

Input → output: text / image → image
Released: Apr 21, 2026
In / out price: $5.5 in · $33 out /1M tokens
Capabilities: Edit · Transparency
Resolution: 1024x1024 · 1024x1536 · 1536x1024
Formats: PNG · JPEG · WEBP

Lightweight OpenAI image model for fast generation and reference edits.

GoogleNano Banana 2

ImageUpgrade required

Input → output: text / image / video → image
Released: Feb 26, 2026
Capabilities: Edit
References: Up to 14 images
Resolution: 0.5K · 1K · 2K · 4K
Formats: JPG · PNG · WEBP

Gemini image model for fast creative generation, reference edits, and visual reasoning.

GoogleNano Banana 2 Lite

ImageUpgrade required

Input → output: text / image / video → image
Released: Feb 26, 2026
Resolution: 0.5K · 1K · 2K
Formats: JPG · PNG · WEBP
References: Up to 14 images

Lighter Nano Banana 2 image model for faster generation, reference edits, and efficient visual iteration.

AlibabaQwen Image 3.0

ImageUpgrade required

Input → output: text / image → image
Released: Aug 4, 2026
Capabilities: Edit
References: Up to 3 images
Formats: JPG · PNG · WEBP

Qwen image model for prompt-faithful generation, references, and strong text-in-image tasks.

xAIGrok Imagine Image

ImageUpgrade required

Input → output: text / image → image
Released: Aug 10, 2026
References: 1 image

Grok image model for fast imaginative visuals, stylized concepts, and reference-guided outputs.

AlibabaQwen-Image-2.1-Turbo

Image≈ $0.0155/image

Input → output: text / image → image
Released: Oct 9, 2026
Price: ≈ $0.0155/image
Capabilities: Edit
References: Up to 10 images
Resolution: 192–4096 px

Low-cost image generation and multi-reference editing with LLM prompt rewriting

GoogleNano Banana 2.1

Image≈ $0.0375–0.134/image

Input → output: text / image / video → image
Released: Oct 6, 2026
Price: ≈ $0.0375–0.134/image
Capabilities: Edit
References: Up to 14 images
Resolution: 1K · 2K · 4K

Sharper graphic composition and subject consistency, with multi-reference input and live search grounding

Black Forest LabsFLUX 3 Image

Image≈ $0.0264–0.333/image

Input → output: text / image → image
Released: Oct 1, 2026
Price: ≈ $0.0264–0.333/image
Capabilities: Edit
References: Up to 10 images
Resolution: 0.75K · 1K · 2K · 4K

Native 4K image generation and editing with precise multi-reference control

Model selection guide

Choose an image editor by what must stay unchanged

Reference capacity, text rendering, identity preservation, edit precision, speed, and output size are distinct model strengths.

FLUX.2 [klein] 9B

Best for: Fast reference-based edits and iterative image transformation
Why choose it: The default editing model exposes references, prompt guidance, speed, quality, and multiple-result controls.
Watch for: Aggressive edits or acceleration can weaken identity and small-detail preservation.

GPT Image

Best for: Exact instructions, visual text, multi-reference composition, and broad controlled edits
Why choose it: Useful when the edit has explicit change-and-preserve rules or quoted copy.
Watch for: Check every preserved label, face, hand, product edge, and source-specific detail.

Nano Banana 2

Best for: Fast conversational photo editing and compositing
Why choose it: Supports image-conditioned iteration across broad visual tasks.
Watch for: State the base image and role of every reference or the composition may drift.

Qwen Image 3.0

Best for: Reference-led image creation and editing
Why choose it: Accepts multiple reference images in a dedicated image-editing contract.
Watch for: Reference count alone does not define priority; label every image role in the prompt.

Seedream 5.0 Lite

Best for: High-quality generation and image-conditioned revisions
Why choose it: Provides a current editing-capable model for polished visual exploration.
Watch for: Review exact identity, text, product geometry, and local edit boundaries before approval.

Known limits

What AI photo editing cannot guarantee

Preserved details may change

Faces, hands, labels, logos, seams, product geometry, reflections, and background objects can drift even when the prompt says to preserve them.

Local edits may spread

Lighting, color, texture, pose, framing, and nearby objects can change outside the requested area. Compare before and after at full resolution.

Text needs exact review

Quoted copy can still be misspelled, duplicated, omitted, or restyled. Proofread every character and verify language direction.

References require permission

Only edit images, products, trademarks, and likenesses you are authorized to use; avoid deceptive alterations and false endorsements.

Outputs are not forensic evidence

AI-edited images must not be presented as unaltered documentary evidence. Preserve originals and disclose material edits where appropriate.

Made with giz.ai

Image editor examples

Browse real image editor examples made with giz.ai.

Editorial transparency

How this page was reviewed

Written by giz.ai Product Team · Reviewed by giz.ai Model Operations · Updated 2026-07-16

giz.ai publishes this AI photo editor page about its own product. Model names, inputs, controls, access, and plan requirements come from the live giz.ai catalog; examples and editorial guidance explain practical use without promising flawless output.

Match the AI photo editor default, offered models, and example inputs to active giz.ai model contracts.
Run the public form through model selection, example application, and the canonical Assistant handoff.
Compare visible edit examples against their change-and-preserve prompts, source roles, and stated limitations.
Verify one canonical URL, visible FAQs, structured data, internal links, desktop layout, and mobile layout.

Clear answers

AI image editor FAQ

Can I edit an image without signing up?

Some editing-capable models include anonymous use. Current access and request limits appear on each model card before you continue.

How do I keep a face, product, or layout unchanged?

Name the source image as the base, describe only the requested change, and explicitly list identity, geometry, labels, pose, camera angle, layout, lighting, and surrounding objects to preserve.

Can I use multiple reference images?

Yes, when the selected model supports multiple images. Give every upload a clear role such as base scene, product, garment, pose, palette, style, texture, or layout.

Which models appear in the image editor?

Only live image-generation models whose actual field contract accepts image input. Text-only image models are excluded from both the picker and catalog.

Can AI edit text inside an image?

Models suited to visual text can revise posters, labels, packaging, UI, and localized assets. Quote exact copy, define placement and hierarchy, and forbid extra words.

What makes a reliable edit prompt?

Use a change-and-preserve contract: change only the named element, preserve the listed invariants, match physical lighting and shadows, and make one correction per revision.

What image sizes and formats are available?

Size, quality, output format, background, reference count, and variation count come from the selected editing model and appear in its live settings.