this model was trained with almost 800 images of the Glitch Techs Netflix series artstyle.

to force the style you must use the prompt gtechstyle, art by gtechstyle, in the style of gtechstyle, cartoon (as prefix).

training was done in 6000 steps with a learning rate 2e-6.

The text encoder was not trained. More than 6000 regularization images from the datasets waifu-regularization-3.3k and husbando-regularization-3.5k were used.

the base model was the SD 1.5 with 512 x 512 images

all training was done on Google Colab free with a Tesla T4 and took about 1 hour.

the notebook used was the one from TheLastBen.

Typical negative prompts:

Disfigured, bad art, amateur, poorly drawn, ugly, flat, deformed, poorly drawn, extra limbs, close up, b&w, weird colors, lowres, bad ???????, bad hands, text, error, missing fingers, extra digit, fewer digits , cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, ((((ugly)))), (((duplicate))), ((morbid)), ((mutilated)), out of frame, extra fingers, mutated hands, ((poorly drawn hands)), (( poorly drawn face)), (((mutation))), (((deformed))), ((ugly)), blurry, ((bad ???????)), (((bad proportions))), ((extra limbs )), cloned face, (((disfigured))), out of frame, ugly, extra limbs, (bad ???????), gross proportions, (malformed limbs), ((missing arms)), ((missing legs)), (((extra arms))), (((extra legs))), mutated hands, (fused fingers), (too many fingers), (((long neck)))