Amazing AI vs Claude Code Action
Side-by-side comparison · Updated November 2026
| Description | Amazing AI is Sindre Sorhus's free text-to-image app for compatible Apple devices. It runs Stable Diffusion 1.5 locally and is designed around a straightforward prompt-to-image workflow. It is useful for exploring visual ideas without buying cloud generation credits, especially when you want a native app with fewer model and editing choices. It is a fixed-model generator: choose a different workflow if importing LoRAs, editing an existing photo or generating video is central to your project. Describe the subject, composition and visual style in a detailed prompt, then review the generated image. To exclude unwanted elements, the developer documents adding a single ## separator followed by a negative prompt. On macOS you can preview thumbnails, move between images with arrow keys, save with Space and copy with Command+C. Saved images include prompt and generation metadata, which can help organize experiments and reproduce useful settings. The developer also lists batch generation for different prompts, Shortcuts support and automatic upscaling. These are workflow features, not a promise that every output is ready for commercial use. Compatibility is a practical decision point. The current App Store listing requires macOS 26 or later for Mac, and the developer specifies Apple silicon rather than Intel. The iPhone listing requires iOS 26 and an A17 Pro chip or later; the iPad listing requires iPadOS 26 and an M-series or A17 Pro chip. Check the device list in your local App Store before downloading. The model also uses substantial storage and memory, and the first generation may take longer because of model validation. We have not tested speed, battery use or output quality on specific hardware. Amazing AI is free without ads. The developer intentionally does not support custom models, inpainting or outpainting, and the FAQ says the current underlying library produces square images. Draw Things is a relevant alternative when you need imported models, local LoRA training, image-to-image editing or video; Amazing AI's simpler setup can suit people who want to concentrate on text prompts. The developer offers older macOS downloads and a non-App Store version, but says the latter does not receive automatic updates. Use the official download page to check the version and OS requirements. Local generation does not mean that the app never communicates externally. Its privacy statement says it collects no personal information and sends anonymous crash reports to Sentry. Review that distinction before using it in a sensitive workflow. The developer permits commercial and non-commercial use of generated images subject to the Creative ML OpenRAIL-M usage restrictions. That permission does not remove obligations concerning source material, recognizable people, trademarks or other third-party rights. The US App Store listing is rated 18+. Review the final image for artifacts and suitability before incorporating it into a design, presentation or publication. | Claude Code Action is a general-purpose GitHub Action that connects Claude Code to pull requests, issues, comments, and automation prompts. The project is useful for builders who already work in GitHub, terminals, or local AI workflows and want a concrete system instead of another thin wrapper. The source is the official repository at https://github.com/anthropics/claude-code-action, so this listing sticks to the implementation details that are visible in the README and repository metadata. How it works: the action detects workflow context, then runs Claude Code through configured prompts and arguments on the GitHub runner. The README documents @claude mentions, issue assignments, explicit prompts, cloud-provider auth, and GitHub API/file access through configured tools. Teams can inspect the code, run it in their own environment, and adapt the workflow to their repo or machine. That makes Claude Code Action a better fit for technical users than buyers looking for a fully hosted black-box SaaS app. The core features are intelligent mode detection, interactive code assistance, PR and issue integration, code review, code implementation, progress tracking, and support for Anthropic direct API, Amazon Bedrock, Google Vertex AI, and Microsoft Foundry. These are not generic AI claims; they come from the public README and setup instructions. The practical value is that the tool turns repetitive work into a repeatable workflow while keeping humans in the loop for review, configuration, and final decisions. Who should use it: engineering teams that want Claude to help triage PRs, answer repository questions, prepare small fixes, or run repeatable GitHub workflows without leaving their existing CI setup. It is also a good evaluation target for AI engineers comparing open-source tools because the repository exposes installation steps, runtime expectations, and project tradeoffs. Users should still review model outputs carefully when the workflow generates code, documents, rankings, or recommendations. Pricing: the code is MIT licensed and free to use, but users pay for their chosen Claude or cloud-model provider and for any GitHub runner usage outside their included plan. The repository license and public package or source availability make it easy to test without a vendor sales process, although any connected model API, cloud runner, or third-party provider can still add its own cost. Check the official README before production use because open-source projects change quickly. Why it stands out: it is the official Anthropic action for Claude Code, has a large public GitHub footprint, and keeps execution on the user’s infrastructure rather than forcing every workflow through a hosted middle layer. This listing treats it as an AI builder tool because it gives developers a concrete workflow they can clone, inspect, and run, rather than just a landing page. Start with the official repository, verify the install path, and test on a small project before adopting it for critical work. |
| Category | Image Generation | Developer Tools |
| Rating | No reviews | No reviews |
| Pricing | Free | Free |
| Starting Price | Free | Free |
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| Tags | local AItext-to-imageStable Diffusion 1.5Apple siliconnegative prompts | claudegithub-actionscode-reviewai-codingpull-requests |
| Features | ||
| Local Stable Diffusion 1.5 image generation | ||
| Free access without ads | ||
| Negative prompt syntax using ## | ||
| Batch generation of different prompts | ||
| Shortcuts support and automatic upscaling | ||
| macOS keyboard controls and saved-image metadata | ||
| Fixed model and square-image workflow | ||
| Responds to @claude mentions in GitHub issues and pull requests | ||
| Reviews PR changes and suggests improvements | ||
| Can implement fixes, refactors, and small features through Claude Code | ||
| Supports Anthropic API keys, workload identity federation, Bedrock, Vertex AI, and Microsoft Foundry | ||
| Runs on the user’s GitHub runner with configurable tool access | ||
| View Amazing AI | View Claude Code Action | |
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