Amazing AI vs Gemini CLI
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. | Gemini CLI is Google's open-source AI agent for developers who want Gemini in the terminal instead of another browser tab. It gives teams a command-line assistant that can inspect a codebase, edit files, run shell commands, fetch web context, and connect to Model Context Protocol servers from the same prompt loop. The project is useful when a developer wants a lightweight coding agent that fits into existing terminal habits. You can start it with npx @google/gemini-cli, install it globally with npm, or install it with Homebrew on macOS and Linux. The repository is Apache-2.0 licensed and primarily written in TypeScript, so teams can inspect the implementation, file issues, and adapt workflows around an open codebase. Gemini CLI stands out because it pairs local developer workflows with Google's Gemini models. The project documentation highlights a free tier for personal Google accounts, with 60 requests per minute and 1,000 requests per day, plus access to Gemini models with a large context window. That makes it a practical first stop for developers who want to test an agentic CLI without committing to a separate SaaS subscription. The built-in tool set covers the common jobs that slow down engineering work. Gemini CLI can read and edit files, run terminal commands, use web fetching, ground answers with Google Search, and automate GitHub-style tasks such as pull request review or rebase help. MCP support also matters: teams can attach additional servers when they need access to custom systems, data sources, or internal tools. Use Gemini CLI for codebase exploration, quick refactors, debugging sessions, scripted automation, or research-heavy development work. It is not a hosted IDE and it still needs careful review before changes are committed, but it is a strong fit for builders who already live in a terminal and want an open, model-backed assistant that can operate on real project files. For OpenTools readers, the important point is that Gemini CLI is not just a model wrapper. It is a project-aware command-line workflow. A developer can ask it to inspect a repository, explain a subsystem, draft a patch, run a test command, and then revise the change with more context. The open repository also makes it easier for security-conscious teams to review behavior before they let an agent touch local files. Gemini CLI is strongest when the task is close to the code: tracing a bug, building a small feature, converting a rough idea into files, or asking an agent to summarize a large project. It also works as a bridge between Gemini and external tools through MCP, so teams can add specialized context rather than forcing every task through one generic prompt. The tradeoff is the same one that applies to every coding agent: developers still need to review diffs, understand shell commands before approving them, and keep secrets out of prompts. Used carefully, it is a fast way to bring Gemini into normal engineering loops without changing editors. |
| 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 | ai-agentdeveloper-toolsterminalcligemini |
| 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 | ||
| Terminal-first AI agent powered by Gemini models | ||
| Codebase analysis, code generation, debugging, and file editing from the command line | ||
| Built-in web fetching, Google Search grounding, shell commands, and MCP extension support | ||
| Install with npx, npm, Homebrew, MacPorts, or a Node environment | ||
| Open-source Apache-2.0 TypeScript repository with active releases | ||
| View Amazing AI | View Gemini CLI | |
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