Yet another amateur photo LoRA to improve the realism of Flux.

V4 Beta 2:

Trained on more images.

V4 Beta 1:

I have started to create a completely new dataset with only high quality images. For Beta 1 I used 111 images, though I plan to significantly increase it for Beta 2. All images only have the caption "43stet1c", but it isn't needed to mention it in your prompt.

This combination seems to produce the best and most consistent results so far.

Increase the strength if the effect isn't strong enough.

V3:

Same dataset as V2 but completely recaptioned with Claude 3.5 Sonnet and upscaled to 1024 with Gigapixel.

V2:

Trained on 124 images with no captions at all. Let me know if this works better than V1. Results can be inconsistent, use HiRes fix and Beta scheduler.

V1:

This was trained on a dataset of 61 "aesthetic" images captioned with Claude 3.5 Sonnet.

https://civitai.com/models/689192/aesthetic-amateur-photo-flux-dev

Completely new dataset, captioned using only the word "43stet1c"