Update README.md

README.md

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 The result is clean, high-contrast outputs that scale well across portraits, fashion, cinematic scenes, and hard-surface material tests.
 
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+SDXL 5 Phase/Step Max Detail workflow
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+This workflow is designed to squeeze everything possible out of SDXL using a 5-pass quality refinement process. It’s easy to use, easy to read, and built for users who want the most polished SDXL output possible.
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+Each phase adds controlled improvements to detail, clarity, and finish using res_2 samplers, Detail Daemon, FaceDetailer, HandDetailer, upscale, sharpening, and desaturation. Step-by-step preview outputs are included so you can compare every phase and see exactly where the quality gains happen.
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+SDXL may not be the newest model on the block, but with the right workflow it can still produce beautiful, high-quality images and this setup is built to prove it.
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 Auto IMG Batch Caption workflow automatically generates clean, structured image captions by combining WD14 tagging, Florence-style natural language descriptions, and a custom trigger token for training consistency. The idea behind this workflow is to deliver proven results for easily (one-click) captioning datasets for training. I have made many high quality LORA from the datasets this workflow outputs.