Detail Enhancer FLUX

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Detail Enhancer FLUX: This LoRA model specifically targets enhancing details, textures, and lighting in images. Unlike my previous model, Vision Realistic FLUX, which was designed for photorealistic image generation, Detail Enhancer FLUX focuses on adding extreme detail to improve overall image quality. My initial attempts to achieve hyper-realistic skin tones and color accuracy with this model didn’t meet my expectations, but it still excels at boosting detail.

Training Configuration:

• GPU: A6000

• Dataset Size: 600 images

• Captioning Tool: GPT-4

• Batch Size: 1

• Optimizer: AdamW8bit

• Learning Rate: 1e-04

• Total training steps: 12k

• Training Duration: 9h+

Please note that all my FLUX LoRA models are still experimental, so you might encounter some issues. If you do, please let me know in the comments section. Your feedback is valuable for future improvements!

Recommended Parameter :

• Trigger Words : no trigger needed

• LoRA Weight : 0.5➡1

• Sampler : euler

• Steps : 20

• CFG : 1

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