Add model card details and link to paper/code

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by nielsr HF Staff - opened
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  1. README.md +27 -5
README.md CHANGED
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-
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  ---
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- license: creativeml-openrail-m
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  base_model: stabilityai/stable-diffusion-2-1-base
 
 
 
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  tags:
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  - stable-diffusion
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  - stable-diffusion-diffusers
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  - textual_inversion
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  inference: true
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  ---
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-
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- # Textual inversion text2image fine-tuning - hcarrion/scar
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- These are textual inversion adaption weights for stabilityai/stable-diffusion-2-1-base. You can find some example images in the following.
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  ---
 
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  base_model: stabilityai/stable-diffusion-2-1-base
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+ license: creativeml-openrail-m
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+ library_name: diffusers
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+ pipeline_tag: text-to-image
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  tags:
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  - stable-diffusion
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  - stable-diffusion-diffusers
 
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  - textual_inversion
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  inference: true
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  ---
 
 
 
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+ # cgDDI: scar
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+
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+ This repository contains textual inversion adaptation weights for `stabilityai/stable-diffusion-2-1-base` representing the **scar** dermatological concept (`<scar-class>`).
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+ It was trained as part of the paper [Controllable Generation of Diverse Dermatological Imagery for Fair and Efficient Malignancy Classification](https://huggingface.co/papers/2607.12987).
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+ ## About cgDDI
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+ **cgDDI** (**C**ontrollable **G**eneration of **D**iverse **D**ermatological **I**magery) is a hybrid framework designed to address the lack of expertly annotated dermatological images across diverse skin tones and rare diseases. It learns disease-specific concepts via textual inversion and fine-tunes latent diffusion models to generate diverse synthetic dermatological images.
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+
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+ * **Paper:** [Controllable Generation of Diverse Dermatological Imagery for Fair and Efficient Malignancy Classification](https://huggingface.co/papers/2607.12987)
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+ * **Repository:** [GitHub - ControllableGenDDI](https://github.com/hectorcarrion/ControllableGenDDI)
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+ * **Dataset:** [Hugging Face - ControllableGenDDI Dataset](https://huggingface.co/datasets/hcarrion/ControllableGenDDI)
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+
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+ ## Citation
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+ ```bibtex
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+ @inproceedings{carrion2026cgddi,
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+ title = {Controllable Generation of Diverse Dermatological Imagery for Fair and Efficient Malignancy Classification},
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+ author = {Carri{\'o}n, H{\'e}ctor and Norouzi, Narges},
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+ booktitle = {Medical Image Computing and Computer-Assisted Intervention (MICCAI)},
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+ year = {2026},
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+ publisher = {Springer},
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+ series = {Lecture Notes in Computer Science}
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+ }
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+ ```