Bottlenecks in Small-Scale Diffusion Models across Noise Scheduling Inference and Data Scarcity
The diffusion model is currently the most common method for generating high-fidelity images, but it requires a large amount of data for training and has a high computational cost. Even though ongoing improvements to architecture have made generation more efficient, it is still important to look into the operational bot...