sjtuplayer/few-shot-diffusion
[ICCV 2023] Phasic Content Fusing Diffusion Model with Directional Distribution Consistency for Few-Shot Model Adaption
This tool helps artists, designers, and content creators adapt an existing image generation model to produce new images in a distinct style, even with very few examples of that style. You provide a small set of images representing a new style (like "Van Gogh faces" or "cartoons"), and the tool processes these along with a base model (like one trained on human faces). The output is a refined model capable of generating new images that blend the content of the base model with the aesthetic of your few examples.
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Use this if you need to generate images in a highly specific style or domain but only have a handful of example images to learn from.
Not ideal if you have a large dataset of images in your target style, as traditional training methods might be more straightforward.
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67
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3
Language
Python
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Last pushed
Dec 07, 2023
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