Implement DDIM Sampling + Classifier-Free Guidance in PyTorch
Hardmodern-architecturesauto-graded
Build deterministic DDIM sampling with classifier-free guidance to control image generation quality and conditioning adherence.
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("ddim-cfg", ConditionalDenoiser, ddim_sample_step, guided_predict, ddim_sample_loop)