Edit an image without losing what matters
Edit · Preserve · Combine ReferencesUpload a photo or several references, describe the exact change, and preserve identity, products, typography, layout, lighting, or composition with an editing-capable AI model.
Production-ready AI image editing prompts

Separate the requested transformation from the identity, geometry, labels, layout, and lighting that must remain fixed.
Assign each image a role such as base scene, product, pose, palette, texture, style, or layout.
Create and revise posters, labels, UI, diagrams, packaging, and localized graphics with exact quoted copy.
The picker and catalog include only live image models whose input contract accepts images.
Choose an AI image editing model

Black Forest LabsFLUX.2 [klein] 9B- Modalities
- text / image → image
- Released
- Jan 23, 2026
- Capabilities
- Text To Image · Image To Image · Edit
- References
- Up to 4 images
- Resolution
- 128–2048 px
- Formats
- JPG · PNG · WEBP
Ultra-fast image generation and editing with sub-second latency

Black Forest LabsFLUX.1 Schnell- Modalities
- text → image
- Released
- Aug 1, 2024
- Capabilities
- Text To Image
- Resolution
- 128–2048 px
- Formats
- JPG · PNG · WEBP
Ultra fast FLUX.1 text to image model for local use
Stability AISDXL- Modalities
- text / image → image
- Capabilities
- LoRA · ControlNet · Inpainting · Styles
Flexible SDXL workflow with checkpoint, LoRA, ControlNet, inpainting, and style controls.
Stability AIStable Diffusion 1.5- Modalities
- text / image → image
- Capabilities
- Checkpoints · LoRA · Inpainting
Classic SD 1.5 workflow for fast image generation with many checkpoints and LoRAs.

- Modalities
- text / image → image
- Released
- Apr 21, 2026
- Capabilities
- Text To Image · Image To Image · Edit
- References
- Up to 16 images
- Resolution
- 16–3840 px
- Formats
- JPG · PNG · WEBP
Image generation and editing model with strong prompt fidelity, text rendering, and layout-aware control
Smaller OpenAI image model for faster, cheaper image generation and reference-based edits.
Background removal model that isolates the subject and outputs a clean cutout from an image.
S-Lab, NTURestoring old photo- Modalities
- image → image
- Capabilities
- Face restoration · Upscale
- Input
- Image required
Face restoration model for repairing old, blurry, damaged, or low-resolution portraits.
- Modalities
- image → image
- Capabilities
- Photo colorization · Restoration
- Input
- Image required
Photo colorization model for adding natural color to black-and-white or faded images.

- Modalities
- text / image → image
- Released
- Jul 8, 2026
- Price
- ≈ $0.053–0.106/use
- Capabilities
- Text To Image · Image To Image · Edit
- References
- Up to 10 images
- Resolution
- 256–8191 px
Flagship image model for controlled editing, multi-reference generation, and layer-aware visual workflows

- Modalities
- text / image / video → image
- Released
- Jun 30, 2026
- Price
- ≈ $0.000371–0.037/use
- Capabilities
- Text To Image · Image To Image · Edit
- References
- Up to 14 images
- Resolution
- 1K
Lighter Nano Banana 2 image model for faster generation and editing workflows

Pruna AIP-Image-Try-On- Modalities
- text / image → image
- Released
- Jun 18, 2026
- Price
- From $0.0165
- Capabilities
- Image To Image · Edit
- References
- Up to 13 images
- Formats
- JPG · PNG · WEBP
Virtual try-on image model for dressing a person in one or more reference garments while preserving identity and pose

KreaKrea 2 Turbo- Modalities
- text / image → image
- Released
- Jun 3, 2026
- Price
- From $0.0165
- Capabilities
- Text To Image · Image To Image
- References
- Up to 10 images
- Formats
- JPG · PNG · WEBP
Fast Krea 2 variant for two-second image generation with the same core creative workflow

Black Forest LabsFLUX Virtual Try-On- Modalities
- text / image → image
- Released
- May 28, 2026
- Price
- From $0.0468
- Capabilities
- Image To Image · Edit
- References
- Up to 2 images
- Formats
- JPG · PNG · WEBP
Low-latency virtual try-on for transferring garments onto a person image with strong identity and garment fidelity

KreaKrea 2 Large- Modalities
- text / image → image
- Released
- May 27, 2026
- Price
- ≈ $0.066–0.0715/use
- Capabilities
- Text To Image · Image To Image
- References
- Up to 10 images
- Formats
- JPG · PNG · WEBP
Larger Krea 2 variant for rawer, more flexible outputs with stronger photorealism and weighted reference control

KreaKrea 2 Medium- Modalities
- text / image → image
- Released
- May 27, 2026
- Price
- ≈ $0.033–0.0385/use
- Capabilities
- Text To Image · Image To Image
- References
- Up to 10 images
- Formats
- JPG · PNG · WEBP
Faster Krea 2 variant for stable, consistent generation with controllable prompt strength and weighted reference guidance

Black Forest LabsFLUX Erase- Modalities
- image → image
- Released
- May 21, 2026
- Price
- ≈ $0.0374/use
- Capabilities
- Image To Image · Edit
- Formats
- JPG · PNG · WEBP
Dedicated FLUX object removal for clean, context-aware image cleanup

Black Forest LabsFLUX Outpainting- Modalities
- image → image
- Released
- May 14, 2026
- Price
- ≈ $0.11/use
- Capabilities
- Image To Image
- Formats
- JPG · PNG · WEBP
Single-call FLUX outpainting for seamless image expansion

- Modalities
- text / image → image
- Released
- May 6, 2026
- Price
- ≈ $0.055–0.077/use
- Capabilities
- Text To Image · Image To Image
- References
- Up to 3 images
- Resolution
- 1K · 2K
Higher-realism image generation and editing with stronger text rendering and tighter creative control

LumaUNI-1- Modalities
- text / image → image
- Released
- May 5, 2026
- Price
- ≈ $0.0444–0.0477/use
- Capabilities
- Text To Image · Image To Image
- References
- Up to 9 images
- Formats
- JPG · PNG · WEBP
Balanced unified image model for creation, precision editing, and multi-reference control
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.
- 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.
- 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.
- 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.
- 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.
What AI photo editing cannot guarantee
Faces, hands, labels, logos, seams, product geometry, reflections, and background objects can drift even when the prompt says to preserve them.
Lighting, color, texture, pose, framing, and nearby objects can change outside the requested area. Compare before and after at full resolution.
Quoted copy can still be misspelled, duplicated, omitted, or restyled. Proofread every character and verify language direction.
Only edit images, products, trademarks, and likenesses you are authorized to use; avoid deceptive alterations and false endorsements.
AI-edited images must not be presented as unaltered documentary evidence. Preserve originals and disclose material edits where appropriate.
Image editor examples
Browse real image editor examples made with GizAI.
How this page was reviewed
Written by GizAI Product Team · Reviewed by GizAI Model Operations · Updated 2026-07-16
GizAI publishes this AI photo editor page about its own product. Model names, inputs, controls, access, and plan requirements come from the live GizAI 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 GizAI 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.
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.