Update model card

README.md

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+---
+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}
+}
+```