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# 🧩 TokenCompose SD21 Model Card
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[TokenCompose_SD21_A](https://mlpc-ucsd.github.io/TokenCompose/) is a [latent text-to-image diffusion model](https://arxiv.org/abs/2112.10752) finetuned from the [**Stable-Diffusion-v2-1**](https://huggingface.co/stabilityai/stable-diffusion-2-1) checkpoint at resolution 768x768 on the [VSR](https://github.com/cambridgeltl/visual-spatial-reasoning) split of [COCO image-caption pairs](https://cocodataset.org/#download) for 32,000 steps with a learning rate of 5e-6. The training objective involves token-level grounding terms in addition to denoising loss for enhanced multi-category instance composition and photorealism. The "_A/B" postfix indicates different finetuning runs of the model using the same above configurations.
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# 📄 Paper
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# 🧩 TokenCompose SD21 Model Card
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## 🎬CVPR 2024
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[TokenCompose_SD21_A](https://mlpc-ucsd.github.io/TokenCompose/) is a [latent text-to-image diffusion model](https://arxiv.org/abs/2112.10752) finetuned from the [**Stable-Diffusion-v2-1**](https://huggingface.co/stabilityai/stable-diffusion-2-1) checkpoint at resolution 768x768 on the [VSR](https://github.com/cambridgeltl/visual-spatial-reasoning) split of [COCO image-caption pairs](https://cocodataset.org/#download) for 32,000 steps with a learning rate of 5e-6. The training objective involves token-level grounding terms in addition to denoising loss for enhanced multi-category instance composition and photorealism. The "_A/B" postfix indicates different finetuning runs of the model using the same above configurations.
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# 📄 Paper
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