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FluxFinePortrait is a model fine-tuned under the Flux architecture, leveraging the FluxFinePortrait training set. By training and fine-tuning on nearly 2000 high-quality fashion photography images, this model exhibits significant advancements in both composition aesthetics and image details. Compared to the original Flux version, AWPortraitFL offers more delicate and realistic skin texture representation.
Comparison with Original Flux Model:
When tested under the same prompts and Seeds, FluxFinePortrait demonstrates superior performance, particularly in the finer details and overall realism. For optimal results, LoRA recommends a weight of +1.
Disclaimer:
This model adheres to the Flux-1-dev-non-commercial-license agreement. It is intended for exchange and learning purposes only and is not authorized for commercial use. The text content generated through this model should be used at your own discretion, and you are responsible for any decisions or intellectual property issues that may arise from it.
Please ensure compliance with applicable laws, regulations, and the terms of service when using this model. Any integration of this model into third-party software or services, or disclosure of its relevance to any other third party, is prohibited unless explicitly allowed by law. Violating these terms may result in legal consequences, and the author reserves the right to seek compensation for any damages incurred.
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Description
FAQ
Comments (5)
is it a flux realistic lora?It is classified under checkpoint sd15 model
Yes, Vi-FluxFinePortrait is a Flux-Lora-Realism model, and it's designed to improve the realism of portrait images generated by Stable Diffusion v1.5.
And thanks for your question! I'm glad I could help clarify that for you. If you have any other questions, feel free to ask.
"LoRA recommends a weight of -0.1"? Is that a typo? I can see that the results are getting better towards a weight of +1.
Thank you for bringing this to my attention. It seems there was indeed a typo in the LoRA recommendation. A weight of -0.1 is likely incorrect.
I'll investigate this further and make the necessary adjustments to the settings. It's great that you've noticed the improvement in results with a weight of +1. This aligns with my understanding of how LoRA weights typically work.
I'll provide an update once the correction has been implemented. Please let me know if you have any other questions or concerns.
Details
Available On (1 platform)
Same model published on other platforms. May have additional downloads or version variants.









