Hi,authors,
Thanks for the great work and for open-sourcing the code!
I have a question regarding the choice of eta=1.0 in the DDIM sampling configuration. As far as I understand, setting eta=1.0 makes DDIM equivalent to DDPM, which reintroduces full stochasticity. I’m curious about the motivation behind this — was it intentionally done to introduce randomness, or is there another reason?
Also, I wonder if using a lower value (e.g., eta=0.5) would be valid in this context, as it might offer a trade-off between sample quality and diversity. Have you experimented with such values?
Looking forward to your insights. Thanks again!
Hi,authors,
Thanks for the great work and for open-sourcing the code!
I have a question regarding the choice of eta=1.0 in the DDIM sampling configuration. As far as I understand, setting eta=1.0 makes DDIM equivalent to DDPM, which reintroduces full stochasticity. I’m curious about the motivation behind this — was it intentionally done to introduce randomness, or is there another reason?
Also, I wonder if using a lower value (e.g., eta=0.5) would be valid in this context, as it might offer a trade-off between sample quality and diversity. Have you experimented with such values?
Looking forward to your insights. Thanks again!