Specialized parameter tuning solutions
The following hierarchical optimization strategy is recommended for business users with high demand for content accuracy:
Base Layer: Prompt Engineering
- Use the "commercial-grade cue word formula": subject + scene + style + technical parameters (e.g. "modern cafe scene, ins style soft light, 8K ultra HD")
- Calling on pre-defined marketing templates within the platform (product posters/social media banners, etc.)
Advancement class: parametric configuration
- Selecting a professional model in advanced settings (e.g. PhotoReal Pro)
- Adjust the resolution according to the delivery platform: Instagram suggests 1080×1350, and YouTube chooses 1920×1080.
- Enhance brand identity with "Business Optimization" model
Management Skills
It is recommended to establish an enterprise-exclusive cue word bank and test different parameter combinations through A/B. The platform's historical version comparison function can intuitively show the optimization effect. Typical cases show that after 3 rounds of parameter tuning, the conversion rate of business materials can be increased by 40%.
This answer comes from the articleToolPlay: Generating AI images and videos using multiple cash models in one platformThe
May not be reproduced without permission:AI productivity tools " How to improve the match between AI-generated content and business needs?
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