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
If you appreciate the work I have done, I kindly request that you take a moment to provide your feedback. Your input holds significant value for me and will contribute to the enhancement of my future endeavors.
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Discord➡️https://discord.gg/QQKd7bu97P
