AI engineering glossary · Generative media multimodal
What is diffusion sampler?
Diffusion sampler: The algorithm that turns a trained diffusion network into a sequence of denoising steps at generation time. Different samplers (such as DDIM, Euler or DPM-Solver variants) trade speed, determinism and image quality by using different numerical solvers and step counts.
Diffusion sampler: an example
Switching from a 50-step Euler sampler to a 20-step DPM-Solver-style sampler can halve generation time with little visible quality loss.
Related terms
- Denoising diffusion implicit model
- Reverse diffusion process
- Inference steps
More Generative media multimodal terms
- Diffusion transformer
- Discriminator
- Document understanding
- DreamBooth
- Early fusion
- Evidence lower bound
- FastSpeech
- Flamingo
Where you learn it
Diffusion sampler is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.