Tome Patch Model
Less than 1 minute
The Tome Patch Model node can be used to apply Tome optimizations to the diffusion model. Tome (TOken MErging) tries to find a way to merge prompt tokens in such a way that the effect on the final image are minimal. This results in faster generation times and a reduction in required VRAM at the cost of a potential reduction in quality. This tradeoff can be controlled by the ratio setting, where higher values result in more tokens being merged
inputs
model
The diffusion model for tome to be applied to.
ratio
The treshold to determine when to merge tokens.
outputs
MODEL
The diffusion model optimized by tome.
example
example usage text with workflow image