Quality control methods for batch generation
A key step in ensuring output consistency:
- Parameter Curing::
- Fixed in the configuration file
seed(be) worth - Setting the same
guidance_scale(FLUX.1 recommendations 1-2)
- Fixed in the configuration file
- Template application::
- utilization
config/examplesThe preset templates in the - pass (a bill or inspection etc)
--prompt_templateParameter Injection Uniform Prefix
- utilization
- reprocess::
- start using
output/postprocessThe color correction script in - utilization
ImageMagickBatch adjustment of EXIF metadata
- start using
Advanced Tips:
1. IntegrationCLIP interrogatorAutomatic optimization of cue words
2. Enable in Gradio UI--gridMode Preview Comparison
This answer comes from the articleAI Toolkit by Ostris: Stable Diffusion with FLUX.1 Model Training ToolkitThe
May not be reproduced without permission:AI productivity tools " How to improve output consistency in batch image generation?
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