Classifier Free Conditional Guidance For Diffusion Models

via “classifier-free guidance with prompt weighting”

text-to-image model by undefined. 15,28,067 downloads.

Unique: Uses null/unconditional predictions as a baseline for guidance rather than explicit classifier gradients, eliminating need for a separate classifier network and enabling guidance without model retraining

vs others: More efficient than gradient-based guidance (CLIP guidance) and more flexible than hard conditioning; simpler to implement than ControlNet but offers less fine-grained spatial control