| --- |
| library_name: lucid |
| license: creativeml-openrail-m |
| tags: |
| - base |
| - Stable Diffusion |
| - lucid |
| datasets: |
| - LAION-5B |
| pipeline_tag: feature-extraction |
| --- |
| |
| # High-Resolution Image Synthesis with Latent Diffusion Models |
|
|
| > https://arxiv.org/abs/2112.10752 |
|
|
| [Lucid](https://github.com/ChanLumerico/lucid) port of `https://huggingface.co/stable-diffusion-v1-5/stable-diffusion-v1-5`, |
| converted to Lucid-native safetensors. |
|
|
| ## Available weights |
|
|
| | Tag | Params | GFLOPs | Size | Source | |
| |---|---|---|---|---| |
| | `CompVis_LAION` *(default)* | — | — | 3598.02 MB | https: | |
|
|
| ## Usage |
|
|
| ```python |
| import lucid |
| import lucid.models as models |
| from lucid.models.weights import Stable diffusionWeights |
| |
| # default tag |
| model = models.stable_diffusion_v1(pretrained=True) |
| |
| # explicit tag (enum or string) |
| model = models.stable_diffusion_v1(weights=Stable diffusionWeights.CompVis_LAION) |
| model = models.stable_diffusion_v1(pretrained="CompVis_LAION") |
| |
| # feed token ids (tokenize with the matching lucid.utils.tokenizer) |
| input_ids = lucid.tensor([[101, 7592, 2088, 102]], dtype=lucid.int64) |
| out = model(input_ids) |
| hidden = out.last_hidden_state # (B, T, hidden_size) |
| ``` |
|
|
| ## Conversion |
|
|
| Converted from `https://huggingface.co/stable-diffusion-v1-5/stable-diffusion-v1-5` via |
| `python -m tools.convert_weights Stable Diffusion --tag CompVis_LAION`. |
| Key mapping + numerical parity verified against the source. |
|
|
| ## License |
|
|
| `creativeml-openrail-m` — inherited from the original weights. |
|
|
| ## Citation |
|
|
| ``` |
| @inproceedings{rombach2022high, |
| title={High-Resolution Image Synthesis with Latent Diffusion Models}, |
| author={Rombach, Robin and Blattmann, Andreas and Lorenz, Dominik and Esser, Patrick and Ommer, Bj{\"o}rn}, |
| booktitle={CVPR}, |
| pages={10684--10695}, |
| year={2022} |
| } |
| ``` |
|
|
