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DreamSharper FLUX
DreamSharper FLUX is a custom-trained FLUX checkpoint model designed to mimic the style of the popular DreamShaper model. The name "DreamSharper" was chosen because it closely aligns with DreamShaper while adding a refined touch to the outputs. Since a FLUX version of DreamShaper doesn’t exist, I decided to train this model to replicate its style within the FLUX framework.
Model Status:
This model is still under development, and further improvements are planned. However, it already delivers impressive results, making it a great alternative for those looking for a DreamShaper-like style within FLUX. Try it out and see how it performs! 🚀
⚙️ Recommended Parameters:
Sampling Method: Euler
Sampling Steps: 20
CFG Scale: 1
Hires Fix: Enable for sharper results
Denoising Strength: 0.2➡0.3
Hires Steps: 10 ➡ 15
Upscaler: 4x_NMKD-Siax_200k (Tested for optimal results, but feel free to use your preferred option)
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