This is an implementation of guoyww/AnimateDiff as a Cog model. Cog packages machine learning models as standard containers.
First, download the pre-trained weights:
cog build -t animatediff
Then, you can run predictions:
cog predict -i prompt="masterpiece, best quality, 1girl, solo, cherry blossoms, hanami, pink flower, white flower, spring season, wisteria, petals, flower, outdoors, falling petals, white hair, brown eyes"
Example output for prompt: "masterpiece, best quality, 1girl, solo, cherry blossoms, hanami, pink flower, white flower, spring season, wisteria, petals, flower, outdoors, falling petals, white hair, brown eyes"
