Ddpm Church

--- library_name: lucid license: apache-2.0 tags: - unconditional-image-generation - ddpm - lucid datasets: - lsun-churches pipeline_tag: unconditional-image-generation --- # DDPM (LSUN-Church 256×256) > https://arxiv.org/abs/2006.11239 [Lucid](https://github.com/ChanLumerico/lucid) port of `diffusers/google/ddpm-church-256`, converted to Lucid-native safetensors. ## Available weights | Tag | Params | GFLOPs | Size | Source | |---|---|---|---|---| | `LSUN_CHURCH` *(default)* | 113.7M | — | 433.67 MB | diffusers | ## Usage ```python import lucid.models as models from lucid.models.weights import DdpmLsunWeights # default tag model = models.ddpm_lsun(pretrained=True) # explicit tag (enum or string) model = models.ddpm_lsun(weights=DdpmLsunWeights.LSUN_CHURCH) model = models.ddpm_lsun(pretrained="LSUN_CHURCH") # preprocessing travels with the weights weights = DdpmLsunWeights.LSUN_CHURCH preprocess = weights.transforms() out = model(preprocess(image)[None]) logits = out.logits # (B, num_classes) ``` ## Conversion Converted from `diffusers/google/ddpm-church-256` via `python -m tools.convert_weights ddpm_lsun --tag LSUN_CHURCH`. Key mapping + numerical parity verified against the source. ## License `apache-2.0` — inherited from the original weights. ## Citation ``` Ho, Jonathan, Ajay Jain, and Pieter Abbeel. "Denoising Diffusion Probabilistic Models." Advances in Neural Information Processing Systems, 2020, pp. 6840–6851. ```

Source context: 0 downloads · 0 likes · Pipeline unconditional-image-generation · Library lucid · Repo lucid-dl/ddpm-church