AI art is theft, but as picasso said "good art borrows, and great art steals". AI artists are no different from other great artists - we steal.

TRIGGER WORDS - Herbst Photo, herbstphoto

As a professional photographer, I have trained a Lora on a set of 500 of my favorite photographs from my personal, (noncommercial) collection that I own the rights to so that you can steal a slice of my aesthetic. As somebody who steals aesthetics from others, I think it is only karmically fair that I am the one who trains and releases a Lora based on my aesthetic.

V2 - This new version was trained on a smaller data set with 10-20 captions per image to emphasize images with higher imperfections. It is much smaller and will run faster. As well as the trigger words "herbstphoto" and "herbst photo", the model was trained with captions on the following phrases and responds to them well in the prompt: off center, asymmetrical, backlight, light leaks, grainy, grain, film grain, candid, high contrast, film burn, analog texture, partial silhouette, chiaroscuro, highlight bloom, cinema film color, filmic glow, blown out highlights, moody, light sliver, dutch angle, flash photography.

V1 - This Lora is my first and was trained lazily without captions, however it still does a good job of capturing the way a lens the world. It emphasizes asymmetrical composition, strong backlighting, lens flares, candid portraiture, gritty textures, vignetting, and imperfection.

All the images in the training data are analog 35mm film: Kodak UltraMax 400, Kodad gold 400, Kodak 250D ENC-2, Kodak 500T ENC-2, Kodak Portra 800, Kodak Portra 400, Kodak Portra 160, Kodak Ektar 100, Kodak T-Mas BW 400, Kodak EXR, Kodak Eastman EXR 5298 500T (1997 Expired) Ilford 3200 BW, Fuji 400, Cinestill 800, Cinestill 50D, Kodak Ektar 100, Kodak ColorPlus 200, Fujifilm Pro 400H, Fujifilm Superia X-TRA 400

This Lora works well at a strength of 2.0 paired with the Xlabs realism Lora at a strength of 1.0

If upscaling, use the SD ultimate upscaler:

Model: 4x_NMKD-Siax_200k model.

Steps:

CFG 2

Sampler: Euler

Scheduler: Normal

Denoise .2

Length - Match to (upscale amount x original resolution)

Height - Match to (upscale amount x original resolution)

*After lots of Testing, I have found that FLux upscaling works best with a tile size that reflects the upscale output resolution at a step of 1. This is good news as it increases the speed of upscaling.

Share your results!