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This repository contains our official implementation of the CVPR 2024 paper: SVGDreamer: Text-Guided SVG Generation with Diffusion Model. It can generate high-quality SVGs based on text prompts.
You can follow the steps below to quickly get up and running with SVGDreamer. These steps will let you run quick inference locally.
Downloading pretrained SD models by setting diffuser.download=True in /conf/config.yaml the first time you run it. (Alternatively, you can append diffuser.download=True to the end of the script.)
Prompt: an image of Batman. full body action pose, complete detailed body, white background, high quality, 4K, ultra realistic Preview:
More parameters in ./conf/x/style.yaml, you can modify these parameters from the command line. For example, append x.vpsd.n_particle=4 to the end of the script.
