Implement DDPM from Scratch in PyTorch
Hardmodern-architecturesauto-graded
Build the full denoising diffusion pipeline: forward noise schedule, U-Net denoiser, and reverse sampling to generate images.
Solve it
Check your answer
The grader verifies properties of your implementation, so a correct solution written differently from ours still passes.
pip install torchleet
from torchleet import check
check("ddpm", linear_beta_schedule, q_sample, SimpleDenoiser, p_sample, p_sample_loop)