Common Creative generative AI models

A list of free to use AI models that I made. When using, adapting or publishing my work you only have to credit me.

The models are based of datasets I collect myself. This can range from historic images to pictures I made myself. The data and models are publicly available.

If you want to request a model or want to publish or collaborate on a dataset/model, contact me to discuss the possibilities.

Stable diffusion 1.5

Wish you were here, a postcard LORA
Status: Published (link)

A LORA model based of post cards from the 1900-1980. Collected on Wikimedia via manual collection.

Color range: both monochrome and color.

Triggers: WYWH, monochrome, caves, mountains, animals, buildings

Dataset size: 656 (1.6 Gb)

Software used: Kohya_SS

Caption method used: BLIP
BLIP settings:

  • beams 1.
  • Top P 0.9
  • max_length 75
  • min_length 5
  • prefix WYWH
Average speed per image 25 seconds.

Knives and time, a broken lora
Status: Published (link)

A LORA specialized in simulating damage on photography and paintings.The dataset mainly consists out of paintings so it has a significant bias towards art-styles from that era.

Color range: both monochrome and color.

Triggers: katadb, painting, damage, yellowed, mold, torn, pierced, cut, tear, cut-out, framing.

Dataset size: 320 (1.6 Gb)

Software used: Kohya_SS

Caption method used: BLIP
BLIP settings:

  • beams 1.
  • Top P 0.9
  • max_length 75
  • min_length 5
  • prefix WYWH
Average speed per image 25 seconds.

Datasets

Wish you were here, a postcard dataset
Status: Published (link)

A dataset of post cards from the 1900-1980. Collected on Wikimedia via manual collection.

Color range: both monochrome and color.

Dataset size: 656 (1.6 Gb)

Software used: Kohya_SS

Caption method used: BLIP
BLIP settings:

  • beams 1.
  • Top P 0.9
  • max_length 75
  • min_length 5
  • prefix WYWH
Average speed per image 25 seconds.

Knives and time, a broken dataset
Status: Published (link)

A specialized dataset for simulating damage to paper and canvas. The goal is to train a LORA model to simulate damage to artworks and paper with a focus on vintage images.

Color range: both monochrome and color

Dataset size: 320 (1.2 Gb)

 

Software used: Kohya_SS

Caption method used: BLIP
BLIP settings:

  • beams 1.
  • Top P 0.9
  • max_length 75
  • min_length 5
  • prefix WYWH
Average speed per image 25 seconds.

Aesthetics of frost
Status: Collection (link)

Quick question, what do you imagine when you think about photographs of antarctic? Penguins, seals? How about several military outposts? This model focuses on providing a dataset to build a LORA to, generate unique imagery on the harsh reality of Antarctic.

Color range: both monochrome and color

Dataset size: TBD

Software used: Kohya_SS

Caption method used: BLIP
BLIP settings:

  • beams 1.
  • Top P 0.9
  • max_length 75
  • min_length 5
  • prefix WYWH
Average speed per image 25 seconds.