A three-step process for precise control of generation effects
Based on the Haimeta platform characteristics, the following methods are recommended to improve the generation accuracy:
- Structured Prompt Writing::
1. Main body (60% pages): Identify the core object and its characteristics (e.g., "crystal chandelier with 12 candelabras").
2. Setting (30%): description of the context and spatial relationship ("suspended under a 20-meter-high stone dome")
3. Artistic parameters (10%): specify "Baroque style, oil on canvas, Rembrandt-style lighting". - Multi-modal cross-validation: testing core concepts with image generation, then verifying dynamic plausibility with video generation, and finally checking structural feasibility with 3D generation
- Community learning mechanisms: Search the Gallery for quality work on similar topics and see the combination of prompts and models used!
Advanced tips: for complex scenes, can be broken down into multiple sub-prompts generated separately, and then combined in the HAI Space
This answer comes from the articleHaimeta: the AI authoring tool that transforms text into images, videos and 3D worldsThe
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