The most advanced AI upscaler & enhancer. Magnific can hallucinate and reimagine as many details as you wish guided by your own prompt and parameters!
Users generally praise Magnific for its user-friendly interface and efficient performance, highlighting its ability to streamline tasks effectively. However, some complaints revolve around occasional bugs and a steep learning curve for newcomers. The pricing is considered reasonable by most users, providing good value for the features offered. Overall, Magnific has a solid reputation, viewed as a reliable and effective tool within its space.
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Users generally praise Magnific for its user-friendly interface and efficient performance, highlighting its ability to streamline tasks effectively. However, some complaints revolve around occasional bugs and a steep learning curve for newcomers. The pricing is considered reasonable by most users, providing good value for the features offered. Overall, Magnific has a solid reputation, viewed as a reliable and effective tool within its space.
Features
Use Cases
Industry
information technology & services
Employees
4
Funding Stage
Merger / Acquisition
I built a macOS clone in the browser with a single prompt
I gave MiMo-V2.5-Pro a single prompt and it built a full macOS Sequoia clone in the browser. Here's my honest take as someone who uses agentic coding daily. The prompt was straightforward: "A pixel-perfect macOS Sequoia desktop clone built entirely in the browser. Interactive window management, 54 native-style apps, Dock with physics-based magnification, Spotlight, Launchpad, and a working Safari browser." And it delivered. A fully functional macOS UI running in the browser, complete with a working Dock, app windows, Spotlight, and Launchpad all rendered from a single prompt. You can see the result in the screenshots above. Why this matters for agent workflows: The hardest part of agentic coding isn't raw capability, it's context retention across long, complex tasks. MiMo-V2.5-Pro held the full spec across the entire session without drifting or losing track of the original instructions. That's the thing that breaks most models on real projects. I ran this through OpenCode. Setup was trivial since the model exposes OpenAI-compatible endpoints, so it dropped straight into my existing stack. The open-source angle: MIT License. You can use their API or self-host. For teams building agent pipelines that need a capable model without vendor lock-in, this is worth evaluating. On ClawEval it leads the open-source field while using significantly fewer tokens than comparable frontier models. For long agentic runs, that efficiency compounds fast. Bottom line: Not a toy. If you're running serious agent workflows, give it a real test. submitted by /u/Direct-Attention8597 [link] [comments]
View originalMagnific uses a subscription + tiered pricing model. Visit their website for current pricing details.
Key features include: 👩🦰 Portraits, 🎨 Illustration, 🕹️ Video games, 🏞️ Landscapes, 👩🚀 Science Fiction, 🧚♀️ Fantasy, 🧑🎨 Graphic design, 🏛 Architecture.
Magnific is commonly used for: 👩🦰 Portraits, 🎨 Illustration, 🕹️ Video games, 🏞️ Landscapes, 👩🚀 Science Fiction, 🧚♀️ Fantasy.
Magnific integrates with: Adobe Photoshop, Figma, Sketch, Canva, Unity, Blender, CorelDRAW, Maya, Procreate, GIMP.
Emad Mostaque
Former CEO at Stability AI
1 mention
