What's different about version 2.0?

After over a month of more than 10 attempts, I finally chose to train with DoRA, aiming to minimize its impact on limb positioning while handling larger datasets. Just when my patience was about to run out, I was pleasantly surprised by the results.

I welcome everyone to test it out and share their feedback. I also apologize for not being able to keep up with your comments during this time.

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This LoRA (Low-Rank Adaptation) is experimental, aimed at exploring the feasibility of training LoRA with Flux.

The LoRA can make the default female appearance in Flux lean more towards an Asian look. However, it has not undergone any facial beautification or "internet celebrity face" training.

Usage:

It is recommended to use weights between 0.4 and 0.65. The latest version of ComfyUI now supports loading Flux LoRA.

Regarding Training:

The training was done using the SimpleTuner script with 2,900 images, taking approximately 20 hours.

Disadvantages/Issues:

There might be slight impacts on the limbs, with a minor decline in the overall performance of the model. More training or other methods may be needed.

It is challenging to fit, and the images may easily collapse during learning.

Testing:

The following are images generated by ComfyUI Flux1.dev-fp8, 25 steps, with prompts and seeds shown on the images: