Classifier-free guidance
A parameter used during the noise removal sampling process to control how closely the model follows the prompt, effectively increasing the generation quality and text prompt fidelity
Guiding a Diffusion Model with a Bad Version of Itself
The primary axes of interest in image-generating diffusion models are image quality, the amount of variation in the results, and how well the results align with a given condition, e.g., a class...
https://arxiv.org/abs/2406.02507


Seonglae Cho
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