Tome Patch Model¶

Tome Patch Model node

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