Amazing AI
Amazing AI renders Stable Diffusion 1.5 text-to-image art locally on your Apple silicon Mac, iPhone 15 Pro, or M1 iPad.
For zero dollars, Amazing AI does one thing cleanly: prompt in, square image out, on your own Apple silicon. The ceilings are real and permanent — SD 1.5, no custom checkpoints, no inpainting or outpainting, square aspect only — and the developer says so up front rather than hiding it. Compared with DiffusionBee, it is faster and more energy-efficient thanks to the Apple Neural Engine, ships a native interface rather than an Electron wrapper, adds batch generation of different prompts, automatic upscaling and Shortcuts support, and is sandboxed and on the App Store. Recommend it if your need stops at generating a picture locally, offline, with no account. If you want inpainting or custom
Verified 2d ago · liveness 54/100 · cite: rightaichoice.com/tools/amazing-ai
- Apple silicon Mac owners who want a free, offline text-to-image generator with no account
- Privacy-conscious creators who will not send prompts to a cloud service
- iPhone 15 Pro or M1-or-later iPad owners who want on-device generation on mobile
- Users willing to write detailed prompts and negative prompts to get results from SD 1.5
- Anyone on an Intel Mac, or on an iPhone older than 15 Pro or a non-M1 iPad
- Work needing inpainting, outpainting, or image-to-image editing — the developer does not plan to add them
- Users who need custom model checkpoints or non-square aspect ratios
We scan live Reddit threads, YouTube comments, X posts, G2 reviews and other communities — and hand you an honest verdict in under a minute.
- Honest verdict, not marketing
- Real pros & cons from real users
- Attributed quotes with receipts
3 free scans · no card needed
Skip Amazing AI if you are on an Intel Mac or an iPhone older than 15 Pro, or if your work depends on inpainting, outpainting, image-to-image editing, custom model checkpoints, or non-square output — the developer has said he does not plan to add those.
The app is free, but the Stable Diffusion 1.5 model is large, so expect a substantial download and a meaningful chunk of disk space before your first image.
Amazing AI costs nothing: free on the App Store for macOS, iOS, and visionOS, with no account, ads, or in-app purchases. That undercuts paid subscription generators, but the trade is hardware and scope — you need an Apple silicon Mac, an iPhone 15 Pro, or an M1-or-later iPad, and you get SD 1.5, square-only output, and no inpainting or custom checkpoints. If you want those capabilities, the developer points to DiffusionBee (inpainting) and his Imago app (Flux 2).
In short
Amazing AI — Amazing AI renders Stable Diffusion 1.5 text-to-image art locally on your Apple silicon Mac, iPhone 15 Pro, or M1 iPad. Best for Apple silicon Mac owners who want a free, offline text-to-image generator with no account, Privacy-conscious creators who will not send prompts to a cloud service, iPhone 15 Pro or M1-or-later iPad owners who want on-device generation on mobile. Free to use.
What people actually say about Amazing AI — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
38 mentions across 2 sources (Hacker News, Lemmy) · researched Jul 3, 2026.
Average across the 2 sources that answered — each source counts once, not each post.
- +100% free with no in-app purchases or tiers.
- +Runs entirely on-device via Apple Neural Engine — strong privacy.
- +No internet required: works fully offline.
- +Includes negative prompt support using ## separator.
- +Generates images quickly on Apple Silicon hardware.
- −No community feedback available to validate quality or bugs.
- −Only supports outdated Stable Diffusion 1.5 model.
- −Lacks custom model, inpainting, outpainting support.
- −Square aspect ratio only — no flexibility for odd shapes.
- −Requires Apple Silicon: no Intel Mac or older iPhone support.
- • None — the app is completely free on the App Store.
Viability Score
How well maintained and how widely used is Amazing AI? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- Text-to-image generation with Stable Diffusion 1.5
- On-device image generation via the Apple Neural Engine
- Negative prompts using the ## separator
- Runs on macOS, iOS, and visionOS
- No account, no ads, no in-app purchases
- Prompts stay on the device; images generate locally
- Batch generation of different prompts (macOS)
- Automatic upscaling of generated images (macOS)
- Preview mode with arrow, Space, Command+C and Esc shortcuts (macOS)
- Saved images embed prompt and step metadata (macOS)
- Finder tags on saved images for smart folders (macOS)
- Shortcuts action for image generation (macOS)
- Sandboxed app builds
- Commercial use of output under Creative ML OpenRAIL-M
- Square-only output
About Amazing AI
Amazing AI is a free text-to-image app from Sindre Sorhus that runs Stable Diffusion 1.5 on-device via the Apple Neural Engine across macOS, iOS, and visionOS. You type a description, the app renders a square image on your own hardware — no account, no ads, no in-app purchases, and prompts that never leave your device. The scope is deliberately narrow: output is square only, and the developer states plainly that he does not plan to support custom models, inpainting, outpainting, or image-to-image. The macOS build is the richer one: batch generation of different prompts, automatic upscaling, a preview mode with keyboard shortcuts (arrows to page through, Space to save, Command+C to copy, Esc to exit), prompt and step metadata written into saved files and readable via Finder's Get Info, Finder tags that feed smart folders, and a Shortcuts action. Where the app rewards effort is prompt craft. SD 1.5 needs a detailed description, and you can append ## plus a negative prompt to steer away from unwanted elements, e.g. "photo of a cake, high-quality ## strawberry, out of frame". Hardware is the real gate: the Mac build is Apple silicon exclusive and explicitly not compatible with Intel-chip devices, and iOS needs at minimum an iPhone 15 Pro or an M1-or-later iPad. Output is usable commercially or non-commercially under Creative ML OpenRAIL-M, minus its restrictions on illegal activity, false information, discrimination, and medical advice. If you want a stronger model, Sorhus points to his own Imago app running Flux 2 instead.
Behind the Verdict
Amazing AI is the least fussy way to get local text-to-image on a Mac, and its limits are as documented as its features. The developer states in the FAQ that he does not plan to support custom models, does not plan inpainting or outpainting, and that the Stable Diffusion library used only supports squares — so there is no roadmap guesswork here. What you get instead is a narrow path done well: type a description, watch the image resolve at multiple stages, then save or copy it. Strengths. On-device generation through the Apple Neural Engine means prompts stay on your hardware and there is no account, no ad load, and no in-app purchase. The macOS feature set goes beyond a bare demo: batch generation of different prompts in one pass, automatic upscaling without clicking an upscale button per image, a preview mode with arrow-key paging, Space to save, Command+C to copy and Esc to exit, prompt and step metadata embedded in saved files (viewable through Finder's Get Info), Finder tags that can drive smart folders, and a Shortcuts action that exposes generation to automation. Builds are sandboxed, and the app holds a 4.7 out of 5 rating from 11 App Store ratings, with reviewers repeatedly calling it simple and turnkey. Weaknesses. Hardware is the gate, not the price. On macOS it is developed exclusively for Apple silicon and is NOT compatible with Intel-chip devices; on iOS it requires at minimum an iPhone 15 Pro or an iPad with an M1 processor, because Stable Diffusion needs a lot of system resources and Apple does not permit a finer-grained device requirement. SD 1.5 itself is flexible but demands a detailed description before you get a usable image, and reviewers note generation is battery-heavy — one M2 Air user says it "does use a lot of battery," which is expected for the work but worth knowing. Aspect ratio is square only, adult imagery is blocked because the app would not be allowed on the App Store otherwise, and the AI model makes the install large on disk and in memory. Generation time varies with device performance, available memory and CPU, and the first run after install is slower due to model validation. Where it fits. Privacy-conscious creators who will not send prompts to a cloud service, Mac owners who want a free offline generator with a native interface and Shortcuts hooks, and iPhone 15 Pro or M1 iPad owners who want generation on mobile. Also worth knowing: a separate non-App Store version exists for people who cannot use the App Store. Where it doesn't. Anyone on an Intel Mac or on an iPhone older than 15 Pro or a non-M1 iPad. Work requiring inpainting, outpainting, or image-to-image. Teams that need custom checkpoints or non-square output. And anyone chasing current top-end quality — the developer's own comparison points those users to his Imago app with Flux 2, and DiffusionBee is the option he names for inpainting.
Researching Amazing AI? Get your full AI stack in 60 seconds.
Free, no signup — tell us your goal and get tools matched to your budget & existing stack.
Real-world workflow fit
Concrete scenarios for the personas Amazing AI actually fits — and what changes day-one when you adopt it.
You need a header image for a post and refuse to send prompts to a cloud generator. You open Amazing AI, type a detailed scene description with a ## negative prompt to exclude unwanted elements, and let it render locally.
Outcome: A square image saved to disk with the prompt and step metadata embedded in the file, viewable through Finder's Get Info and tagged so a smart folder picks it up — nothing left your machine.
You are away from your desk and want to rough out a visual idea. You type a description into the iOS build, which runs Stable Diffusion 1.5 on the device's neural hardware.
Outcome: A locally generated image without an account or a cloud round trip — the same app you already use on macOS.
You need several different prompt variations rendered in one pass rather than one at a time. You use batch generation of different prompts, then wire the generation step into a Shortcuts action so it fires as part of a recurring workflow.
Outcome: A set of prompt variants generated in a single pass, automatically upscaled, and dropped into your pipeline without manual per-image upscale clicks.
Use Cases
- Generate images for blog posts or social media without leaving your Mac.
- Quickly visualize concepts during brainstorming sessions.
- Create privacy-safe images by generating locally on your iPhone 15 Pro.
- Experiment with negative prompts to refine image outputs.
- Batch-generate a set of different prompt variations in one pass on macOS.
- Automate image generation inside a Shortcuts workflow on macOS.
- Generate reference images for design projects when offline.
Models Under the Hood
as of 2026-10-15
Limitations
- Hardware is the gate: on macOS the app is developed exclusively for Apple silicon and is explicitly NOT compatible with Intel-chip devices, and on iOS it requires at minimum an iPhone 15 Pro or an iPad with an M1 processor because Stable Diffusion needs a lot of system resources.
- It uses Stable Diffusion 1.5, which the developer describes as flexible but requiring a detailed description to generate a usable image.
- Output is square only — the Stable Diffusion library used supports nothing else.
- The developer states he does not plan to support custom models, inpainting, or outpainting.
- Adult imagery cannot be generated because the app would not be allowed on the App Store otherwise.
- Generation can be slow and battery-intensive depending on device performance (a reviewer reports high battery use on an M2 Air), the first generation after install is slower due to model validation, and the AI model makes the app large on disk and in memory.
as of 2026-10-16
Verification history
We have re-verified Amazing AI 9 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 9 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Amazing AI tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0
Ideal for
Apple silicon Mac owners, iPhone 15 Pro users, and M1-or-later iPad owners who want local text-to-image with no account and no spend.
What this tier adds
Starting tier — the whole app is $0 with text-to-image via Stable Diffusion 1.5, no ads, and no in-app purchases.
Where the pricing makes sense
The company stage and team size where Amazing AI's pricing actually pencils out — and where peers do it cheaper.
Amazing AI costs nothing: free on the App Store for macOS, iOS, and visionOS, with no account, ads, or in-app purchases. That undercuts paid subscription generators, but the trade is hardware and scope — you need an Apple silicon Mac, an iPhone 15 Pro, or an M1-or-later iPad, and you get SD 1.5, square-only output, and no inpainting or custom checkpoints. If you want those capabilities, the developer points to DiffusionBee (inpainting) and his Imago app (Flux 2).
Setup time & first value
How long it actually takes to get something useful out of Amazing AI — broken out by persona, not the marketing-page minute.
On an Apple silicon Mac, install from the App Store and expect your first image to take longer than usual while the model validates — after that it is prompt-in, image-out. On an iPhone 15 Pro or M1 iPad it is the same install-and-type path with no account to create. Budget extra time for the model download itself, since the app and model are large.
Switching to or from Amazing AI
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From DiffusionBee: move over for Batch generation of different prompts, automatic upscaling without a per-image click, a native interface rather than an Electron wrapper, Shortcuts support, and a sandboxed App Store
- ↗To DiffusionBee: go here if inpainting or outpainting is what you need — the developer of Amazing AI explicitly points to DiffusionBee for those.
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “Amazing AI”, and we withheld 6: 6 could not be judged, because “Amazing AI” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Amazing AI.
Official links
Tools that pair well with Amazing AI
Common stack mates teams adopt alongside Amazing AI, with the specific reason each pairing earns its keep.
Diffusionbee Stable Diffusion Ui
Free macOS app that runs Stable Diffusion locally — text-to-image, generative fill, upscaling, and custom model training all offline.
PhoneDiffusion
PhoneDiffusion runs Stable Diffusion image generation on iPhone, fully offline and on-device.
Anakin.ai
Anakin.ai is a no-code AI platform for text, image, video and voice generation, workflows and batch automation.
Featured Head-to-Head Comparisons
Amazing Ai vs Adobe Firefly Services
If you're an Apple user who values privacy and offline generation with a simple tool, Amazing AI (free) is a great choice. For enterprises needing scalable, API-driven content production with commercial safety and compliance, Adobe Firefly Services is the clear winner despite its usage-based cost.
Amazing Ai vs Qoves
QOVES and Amazing AI serve completely different needs: QOVES offers science-backed facial analysis for a personalized non-surgical glow-up, while Amazing AI is a free, local Stable Diffusion image generator for Apple devices. Choose QOVES if you want data-driven beauty insights, or Amazing AI if you need private, offline image creation.
Amazing Ai vs The New Black
If you're a fashion brand aiming to accelerate design from concept to production, The New Black's specialized features (tech packs, virtual try-on, custom models) justify its premium pricing. For Apple users seeking a private, offline image generator with no frills, Amazing AI is excellent and free. These tools serve entirely different needs — pick based on your domain and privacy requirements.
Alternatives to Amazing AI
View all
Diffusionbee Stable Diffusion Ui
Free macOS app that runs Stable Diffusion locally — text-to-image, generative fill, upscaling, and custom model training all offline.
PhoneDiffusion
PhoneDiffusion runs Stable Diffusion image generation on iPhone, fully offline and on-device.
Frequently Asked Questions
Categories
Best-of guides
Topics
Used Amazing AI? Help shape our editorial sentiment research.