anotherjesse / dreambooth-batch

batch inference for dreambooth trainings

  • Public
  • 1M runs
  • A100 (80GB)
  • GitHub

Input

*string
Shift + Return to add a new line

Backslashes aren't interpreted as an escape sequence. For example, "\n" is two characters, not a newline.

JSON input

*string
Shift + Return to add a new line

URL to weights

Output

outputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutputoutput
Generated in

This example was created by a different version, anotherjesse/dreambooth-batch:4dccde5b.

Run time and cost

This model costs approximately $0.066 to run on Replicate, or 15 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.

This model runs on Nvidia A100 (80GB) GPU hardware. Predictions typically complete within 48 seconds. The predict time for this model varies significantly based on the inputs.

Readme

Given a weights output.zip, generate many images using a single prediction