Computation times

00:52.593 total execution time for 9 files from auto_examples/sampling:

Example	Time	Mem (MB)
Using state-of-the-art diffusion models from HuggingFace Diffusers with DeepInverse (demo_diffusers.py)	00:10.587	0.0
Flow-Matching for posterior sampling and unconditional generation (demo_flow_matching.py)	00:09.998	0.0
Building your diffusion posterior sampling method using SDEs (demo_diffusion_sde.py)	00:08.499	0.0
Noisy data-fidelity terms for diffusion posterior sampling (demo_noisy_data_fidelity.py)	00:07.174	0.0
Implementing DiffPIR (demo_diffpir.py)	00:06.893	0.0
Uncertainty quantification with PnP-ULA. (demo_sampling.py)	00:03.571	0.0
Image reconstruction with a diffusion model (demo_ddrm.py)	00:03.442	0.0
DPS – Posterior Sampling with Diffusion Models (demo_dps.py)	00:02.101	0.0
Building your custom MCMC sampling algorithm. (demo_custom_kernel.py)	00:00.328	0.0