Sweaty Shirt / Armpit Sweat / Pit stains / Wet Spots – Flux Dev.1

v5.0
diogod
9 months ago

You guessed right, Flux can't do sweaty armpits either.

v5.5 is v5 with block analysis, and v6 is a new trained version, read version description. I recommend mixing both.

For one version alone, recommend weight 0.93
try from 0.8 to 1.2

Negatives (DynamicThresholding or Skimmed) can sometimes help, but not needed. You can download my images and drop on Comfy, the workflow has both options and a High-res upscale.

Trigger Keyword:

sweat-spots-smudges on armpit, sweat-spots-smudges on belly, sweat-spots-smudges on chest

 Supporting prompts:

Shirt with sweat, wet, HD high professional quality photo, best quality

 Negative supporting prompts:

dry shirt, worst quality, jpeg artifacts, blurry

Flux don't bleed insanely with the word "wet" as did SD15 and SDXL so it's safe to use it.

Trained with Ostris trainer.


old v1 description:

Very initial model, looks undertrained, but it's giving great results. My first experiment with Flux. This is the first time I'm not going to write 4 pages of info. You guys can chek the SDXL and SD15 version if you want. It's the same dataset.

I'll probably update this with new versions in the future.

I recommend weight 1.12

try from 0.8 to 1.5

Trained with Ostris trainer.

Read more...
Download (160 MB) Download available on desktop only

Popularity

350 ~10

Info

Version v5.0: 1 File

To download these files, please visit this page from a desktop computer.

About this version: v5.0

Trigger word is changed: sweat-spots-smudges

Use weight: 0.8-1.1

Finally, a better version than v1. V1 had the Ostris Aitoolkit training bug, that made worse images.

This is an ever lower rank. Rank Linear/Alpha 4/16 (I'm tryin Civitai settings on AiToolkit). It's my first good loRa with regularization images. I think it's a little bit saturated (plastiky) but i'ts for sure better than v1 and using negatives helps. The composition is way better with this version.

Trained v5 steps 7040 of 7600. LR: 0.0005 reg_weight: 0.25 [reg only 512x],

4 Versions

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