AI Image Generator

giz.ai Image

Create images that follow the brief

Generate · Edit · Transform

Generate, edit, restore, relight, localize, and transform images with live model-native controls in one workspace.

Explore image models

Image examples

From a prompt to a production-ready direction

AI-generated launch poster with readable text

See exact generation prompt

Design a launch poster with a clear headline, restrained type hierarchy, and one confident product image.

Readable campaign posterTypography and layout

Readable visual communication

Use models suited to posters, slides, UI, infographics, labels, and localized text.

Reference-based editing

Preserve what matters while replacing, cleaning, relighting, or restyling a controlled area.

Many model strengths

Choose by realism, illustration, speed, typography, editing, or reference fidelity.

Live controls

Size, references, masks, styles, and other fields come from the selected model contract.

Image models

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.

Tongyi LabZ-Image Turbo

ImageFree · 2 per hourAfter allowance · ≈ $0.011/image

Input → output: text → image
Released: May 12, 2026
Capabilities: Photorealism · Fast typography · High prompt adherence
Resolution: 1024–2048 px · 1K / FHD / 2K
Formats: WEBP · PNG · JPG
Speed: ~4 sec per 1024 px image

Fast image model for photorealistic images, clear typography, and close prompt adherence; a 1024 px image takes about 4 seconds.

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.

RecraftRecraft V4.1 Vector

ImageFree · 1 per dayAfter allowance · ≈ $0.04/image

Input → output: text / image → image
Released: Feb 17, 2026
Resolution: Vector / Scalable
Formats: SVG · PNG · WEBP

Current Recraft vector model for scalable SVG logos, icons, marks, and clean graphic assets.

ByteDance SeedSeedVR2 Image Upscaler

ImageFree · 2 per dayAfter allowance · ≈ $0.011/image

Input → output: image → image
Released: Feb 24, 2026
Capabilities: Image upscaling · Restoration · 2× · 3× · 4×
Input: Image required
Resolution: 2× · 3× · 4× up to 4K

Restore and enlarge an image 2×–4× with the compact one-step SeedVR2 model.

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.

Model selection guide

Choose an image model by the visual job

Text rendering, realism, editing, vector output, speed, and reference fidelity are different strengths; no single model leads every task.

KREA 2 Turbo

Best for: Fast drafts, concepts, and included experimentation
Why choose it: The current default offers a quick path from a detailed text brief to a usable visual direction.
Watch for: Review exact references, small typography, and complex anatomy before publishing.

GPT Image

Best for: Instruction following, readable text, diagrams, and controlled edits
Why choose it: Useful when exact copy, layout constraints, multiple references, or named invariants matter.
Watch for: Review every character, label, logo-like mark, and referenced product detail before use.

Nano Banana 2

Best for: Fast conversational generation and image editing
Why choose it: Combines generation and reference-based iteration for broad visual tasks.
Watch for: Complex multi-reference roles can drift; state each reference role and preserved element explicitly.

FLUX.2 [klein] 9B

Best for: Efficient generation and reference-based edits
Why choose it: Provides image editing, quality, guidance, acceleration, and multi-result controls.
Watch for: Prompt strength and acceleration settings trade speed against fidelity and should be tested per asset.

Recraft V4.1 Vector

Best for: Logos, icons, marks, and scalable vector output
Why choose it: Produces SVG-oriented assets when editability and clean geometry matter.
Watch for: Generated marks still require originality, trademark, small-size, and production review.

Known limits

What AI image generation still gets wrong

Exact details can drift

Faces, hands, products, diagrams, small objects, and repeated characters may change between outputs or revisions.

Visual text needs proofreading

Even text-capable models can omit, duplicate, misspell, or restyle copy. Check every character at full resolution.

References do not grant rights

Only upload material you are authorized to use, and review likeness, copyright, trademark, and publicity rights before publishing.

Resolution is model-specific

Aspect ratios, pixel sizes, formats, transparency, and variation counts come from the selected model contract.

A convincing image can still be false

Generated photographs, diagrams, and infographics must not be presented as documentary evidence or verified data without disclosure and review.

Made with giz.ai

Image examples

Browse real image 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 image generator 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 image generator 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.
Check visible examples for prompt-result relevance, useful alt text, and a stated production tradeoff.
Verify one canonical URL, visible FAQs, structured data, internal links, desktop layout, and mobile layout.

Clear answers

AI image generator FAQ

Can I generate images without signing up?

Some models include anonymous use. Current access and usage are shown on each model card.

Can I edit an existing image?

Yes. Choose an editing-capable model and attach the authorized source image. Available reference and mask fields depend on that model.

Which model should I choose?

Choose by the job: typography, realism, illustration, speed, vector output, reference fidelity, or controlled editing. The catalog and selection guide expose those differences directly.

How should I write an image prompt?

State the subject, action, composition, camera or viewpoint, materials, lighting, palette, exact text, intended format, and anything that must not change. One coherent scene is easier to judge than a list of unrelated ideas.

Can AI generate readable text and logos?

Some models are stronger at visual text or vector marks. Quote exact copy, forbid extra words, and review spelling, originality, trademark risk, and small-size legibility before production.

Can I use generated images commercially?

Commercial suitability depends on your inputs, the selected model and provider terms, and the intended use. You remain responsible for rights, disclosures, claims, likenesses, and brand review.

Why does the same prompt produce different images?

Generative sampling, model versions, references, settings, and provider updates introduce variation. Save the model, prompt, inputs, settings, and approved result when reproducibility matters.

How do I keep a character or product consistent?

Use authorized reference images, assign each reference a role, state identity and geometry invariants, constrain the change, and compare every revision with the approved source.