metadata

license: creativeml-openrail-m
language:
  - en
library_name: diffusers
pipeline_tag: text-to-image
tags:
  - stable-diffusion
  - stable-diffusion-diffusers
  - text-to-image
inference:
  parameters:
    num_inference_steps: 50
    guidance_scale: 5
    eta: 1
widget:
  - text: lion
    example_title: lion
  - text: butterfly
    example_title: butterfly
  - text: dolphin
    example_title: dolphin

ddpo-aesthetic

This model was finetuned from Stable Diffusion v1-4 using DDPO and a reward function based on the LAION aesthetic predictor. See the project website for more details.

The model was finetuned for 40 iterations with a batch size of 256 samples per iteration. It was only prompted with the following list of 45 common animals during finetuning, so try those for the best results. However, we also observed limited generalization to other prompts.

Prompts:

cat
dog
horse
monkey
rabbit
zebra
spider
bird
sheep
deer
cow
goat
lion
tiger
bear
raccoon
fox
wolf
lizard
beetle
ant
butterfly
fish
shark
whale
dolphin
squirrel
mouse
rat
snake
turtle
frog
chicken
duck
goose
bee
pig
turkey
fly
llama
camel
bat
gorilla
hedgehog
kangaroo