feat(new): released SVGDreamer++:https://arxiv.org/abs/2411.17832
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README.md
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[](https://huggingface.co/blog/xingxm/svgdreamer)
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[](https://mp.weixin.qq.com/s/QEBiP-xLVvQVoV_9H2Id7g)
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This repository contains
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Diffusion Model.
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## :new: Update
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a novel text-guided vector graphics synthesis method. This method considers both the editing of vector graphics and
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the quality of the synthesis.
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- Model Link: https://huggingface.co/stabilityai/stable-diffusion-2-1-base
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- Default model is stored in the `/home/user/.cache/huggingface/hub/models--stabilityai--stable-diffusion-2-1-base`
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## π₯ Quickstart
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### SIVE + VPSD
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[](https://huggingface.co/blog/xingxm/svgdreamer)
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[](https://mp.weixin.qq.com/s/QEBiP-xLVvQVoV_9H2Id7g)
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This repository contains the official implementation of our CVPR 2024 paper, "SVGDreamer: Text-Guided SVG Generation
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with Diffusion Model." The method leverages a diffusion-based approach to produce high-quality SVGs guided by text
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prompts.
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## :new: Update
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- [11/2024] π₯ **We released the [SVGDreamer++](https://arxiv.org/abs/2411.17832), offering stronger visual representation and improved editing capabilities.**
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- [03/2024] π₯ We released the **code** for [SVGDreamer](https://ximinng.github.io/SVGDreamer-project/).
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- [02/2024] π SVGDreamer accepted by CVPR2024. π
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- [12/2023] π₯ We released the **[SVGDreamer Paper](https://arxiv.org/abs/2312.16476)**. SVGDreamer is
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a novel text-guided vector graphics synthesis method. This method considers both the editing of vector graphics and
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the quality of the synthesis.
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- Model Link: https://huggingface.co/stabilityai/stable-diffusion-2-1-base
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- Default model is stored in the `/home/user/.cache/huggingface/hub/models--stabilityai--stable-diffusion-2-1-base`
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## π₯ Quickstart: synthesize **6** SVGs at once
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### SIVE + VPSD
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