Sketch to Image is the core functional module of mnml.ai, which revolutionizes the way concepts are expressed in the early stages of architectural design. Based on diffusion modeling technology, it intelligently parses the designer's hand-drawn sketches or CAD line drawings and automatically adds architectural details, textures and environmental elements to produce photo-realistic renderings.
Its workflow features three technological breakthroughs:
- Multi-modal input support: Hand-drawn sketch photos, CAD exported drawings, BIM software screenshots and other input forms can be handled simultaneously.
- Semantic comprehension: precise control of the generated effect through natural language descriptions (e.g. "modern wooden villa with natural light on a summer afternoon").
- Style Derivation Algorithm: Single input can quickly generate multiple design variants, supporting the full spectrum of presentation from realistic style to artistic expression
Actual cases show that an international architectural firm used this function in the bidding stage of the program, which compressed the conceptual program that originally required 3 days to be produced into 2 hours, and at the same time, the diversity of the program was improved by 400%, which significantly increased the success rate of the bidding.
This answer comes from the articlemnml.ai: AI rendering tools for architecture and interior designThe
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