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For sponsorship, please contact us on Discord. Your support helps us grow and improve future work.
Buy Custom Models:
If you're interested in buying a LoRA model, contact us—we can get it done in a short time.
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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Discord➡️https://discord.gg/QQKd7bu97P
Description
FAQ
Comments (2)
Honestly all your images look better, more natural and more detailed without the Lora lol
@becausereasons I’m aware of that. As mentioned in the model description, all of my Flux LoRA models are in the experimental stage, so it will take some time to improve. However, it’s not the same in all cases. In some scenarios, it performs better, particularly with sharper and brighter images. Sometimes the Flux results can appear blurry, but with this LoRA model, you can easily fix that. Also, in other cases, the model performs far better. You can check out my showcase images for a better idea. Ultimately, it depends on your taste and what you prefer.
Details
Files
Available On (2 platforms)
Same model published on other platforms. May have additional downloads or version variants.













