mnml.ai is an AI rendering and visualization platform built specifically for architecture and interior design, aiming to integrate concepts, iterations, and presentations into a single workspace. It supports generating renders suitable for client presentations starting from sketches, photos, or model views from SketchUp, Revit, Rhino, and Blender.
Main capabilities:
- Fast rendering: Transform sketches, photos, or model views into high-quality renders, covering a variety of types such as residential, commercial, interior, landscape, site plan, floor plan, and more.
- Variant comparison: Generate up to four variants at a time and display them side by side on an infinite canvas for easy comparison and selection.
- Traceable editing: Each edit generates a new image, preserving the source file, prompt, and expert information, supporting re-running or branching without overwriting the original result.
- Collaboration features: Support adding sticky notes, group frames, and real-time cursors on the canvas, and invite collaborators as viewers or editors.
- Project management: Each render belongs to a project, with its own independent library and history, and deleted renders are kept in the recycle bin for 30 days.
- Output formats: Export 8K images, short video clips, or invite clients to view the project.
How to use:
- Web: After signing up, you get free credits with no credit card required. Upload JPG, PNG, or WebP images (up to 50 MB), select a render type (such as exterior, interior, site plan, etc.), and generate.
- Plugins: Free plugins are available for Rhino 8 (Windows/Mac), Grasshopper (Rhino 8), and SketchUp 2026 (Mac), allowing you to render directly within the modeling software and place the results.
- Assistant integration: Can be invoked in ChatGPT and Claude through connectors, using a mnml.ai account and credits for rendering and editing.
Use cases:
- Architects and designers quickly generating concept schemes and client presentation images.
- Team collaboration projects, sharing projects, credit pools, and role-based permission management.
- Educational institutions for teaching and design exploration.
Limitations and notes:
- The platform states that it will not use user content to train AI models; uploaded content, prompts, and generated results are used only to provide the service and are not shared with third parties.
- Users own the commercial usage rights to generated images.
- Projects are private by default and will not enter the community feed unless the user actively publishes them.
- Specific pricing and credit consumption details are not fully explained in the provided information; it is recommended to visit the official website for details.
