Upscaling is natively supported! Use native model+Lora loaded
Use Lanczos x1.5 (1536 res) with a strength of 0.3~0.5. The Lora is natively trained on that size!

This Lora produces full nudity:
• Breasts shapes are now more varied and work correctly
• Nipples no longer have dark dots at all, are varied, and correctly shaped about 90% of the time.
• Pussies work
• Pose concepts, crop factors & general composition was not damaged
• Does not produce watermarks

What is negatively impacted: (all of these will be solved once I add regularization data)
• Clothing (bias towards full nudity, if asking for half nudity or only slightly revealing things)
• Text generation
• Variety in faces (can be solved with prompting - but is a bit annoying for now)
• Backgrounds (yeah... way too many indoor examples in dataset. since this was just to get full anatomy running correctly)
• Men (this wont be fixed till v3, since that's when I'll add in male nudity
• Body shape (currently there is an extreme bias towards skinny)

What it doesn't do:
• Porn (flux cant do it to begin with - and I didn't train for it)
• Trans (I'm worried it might confuse the model, since the concept bleed is real. While I'll add this at sooooome point. Don't expect it till everything else is working consistently)

Compatibility:
• This wasn't trained via overfitting, so it should be compatible with every correctly trained lora.

V2: next run, will prob be on around 15k images (5k nudity. 5k normal high quality clothed. 5k regularization of completely random photography - like wildlife) using LoKr. I'll do rank 24 & rank 128 runs

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Do you wanna help me out?
Post a review of this model, and mention what works well for you, and what doesn't work well for you. Feedback is important!

If you wanna donate so the next model gets released sooner (basically finance my training), just contact me

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I'm currently working on a large flux training guide - this being one of the harder projects I'm documenting. I'll post the link when its done!

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This is one of my FLUX research projects. Specifically the one for anatomy training.

Trained on 4k images, at 512,768,1024,1536 resolutions, at fp16, on an A6000 for 3 days
V1: network rank 24, using standard LoRA algorithm.

Key insights:
• fp16 not worth it. will switch to INT8 training next.
• 1536 resolution was needed to remove the black dots on nipples (without relying on absurd overfitting), to add fine details on skin, and patterns on clothing. However more research is needed, since I think adding a smaller subset at this resolution will most likely be good enough. There is a very very high chance that a 2048 resolution is actually needed though. I don't want to think about it due to vram requirements.
• LoKr will be a much better training method for this. So I'm switching to that next.
• trained on simpletuner

You wanna use this on your site, or in your merge? -Contact me.