A practical solution to improve the quality of AI-generated helper images
Background: Automatically generated word pictures may have insufficient correlation or quality issues. Significant improvements can be made through built-in features of the tool and technical adjustments:
- Parameter tuning:modificationsgen_words_img.pyin the Pillow library parameters to adjust the image resolution (300 dpi or higher recommended) and size (800x600px)
- Cue word enhancement:Refinement in the JSON filedraw_promptfields, e.g. add scene descriptions ('a medieval castle crumbling' corresponds to 'abandon')
- Layered treatment:Special words can be created manuallydata/special_words.jsonIndividual configuration picture parameters
Alternative: 1. Change to DALL-E3 interface (modification required)provider_replicate.py2. Use of the generated imagesPIL.ImageEnhancePerform post-processing 3. Establish an audit-iteration mechanism to blacklist poorly performing images to re-generate them
This answer comes from the articleVBDeepSeek: an open source tool for generating grade 4 word study materials using DeepSeekThe
May not be reproduced without permission:AI productivity tools " How to optimize the effect of helper images generated by VBDeepSeek tool?
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