Guided Past The Conditional

A conditional diffusion model is sampled with classifier-free guidance, ϵθ(zλ,c)=(1+w) ϵθ(zλ,c)−w ϵθ(zλ)\tilde\epsilon_\theta(z_\lambda, c) = (1+w),\epsilon_\theta(z_\lambda, c) - w,\epsilon_\theta(z_\lambda)θ​(zλ​,c)=(1+w)ϵθ​(zλ​,c)−wϵθ​(zλ​).

At one sampling step and one coordinate the conditional prediction is 0.400.40, the unconditional prediction is 0.200.20, and w=3w = 3. What noise value does this step use?

A

0.350.35, the 3:13{:}1 weighted average of the conditional and unconditional predictions

B

1.001.00, from 4(0.40)−3(0.20)4(0.40) - 3(0.20)

C

0.800.80, from w ϵc+(1−w) ϵuw,\epsilon_c + (1-w),\epsilon_u

D

−0.40-0.40, from (1+w) ϵu−w ϵc(1+w),\epsilon_u - w,\epsilon_c