This is an implementation of the segmind/SSD-1B as a Cog model. Cog packages machine learning models as standard containers.
First, download the pre-trained weights:
cog run script/download-weights
Then, you can run predictions:
cog predict -i prompt="with smoke, half ice and half fire and ultra realistic in detail.wolf, typography, dark fantasy, wildlife photography, vibrant, cinematic and on a black background" -i seed=36446545872
Or img2img:
cog predict -i image=@output.0.png -i prompt="a wolf with pink and blue fur" -i seed=21272 -i disable_safety_checker=True
txt2img
img2img