Quality Assurance Program
For image quality issues, 1Prompt1Story has built-in multiple safeguards:
- Feature decoupling techniques:The system automatically separates: 1) identity features; 2) scene features; 3) style features. Re-weighting mechanism is activated when feature conflict is detected
- Quality control nodes:Three detection points were set up in the generation process: 1) after text encoding; 2) during initialization of the potential space; and 3) before final output
- Exception handling program:When there is a noticeable quality drop, it is recommended to 1) check the cue words for contradictory descriptions; 2) reduce the denoising intensity appropriately; 3) enable the
--safe_modeparameters - Benchmark Comparison:The generated images are automatically compared for similarity with similar samples in Consistory+.
Professional Recommendations: 1) Complex scenes are recommended to be generated in stages; 2) Character traits are added when they are ≥ 5--high_detailmarkers; 3) attempts to fix random seeds when quality fluctuates (--seedparameters). The tool also providesquality_check.pyscript for automated detection.
This answer comes from the articleOne-Prompt-One-Story: Text Prompts Generate Character Identity Consistent ImagesThe
May not be reproduced without permission:AI productivity tools " How to prevent feature confusion or quality degradation in the generated images?
