Readme
Implementation of cross-image-attention as a Cog model
lucataco
/
cross-image-attention
Given two images depicting a source structure and a target appearance, generate an image merging the structure of one image with the appearance of the other
Input
Output
Examples
Run time and cost
This model costs approximately $0.062 to run on Replicate, or 16 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 A40 (Large) GPU hardware. Predictions typically complete within 86 seconds. The predict time for this model varies significantly based on the inputs.