LCM-Lab/Bridge_Gap_Diffusion
Diffusion Model Improvement Method
If you're working with text generation tasks like paraphrasing, story generation, or text simplification using diffusion models, this project offers a way to significantly speed up how quickly these models create text. It takes your existing diffusion model and allows you to improve its performance and reduce the time it takes to generate a full sequence of text. This is designed for researchers and engineers who are already building or experimenting with text generation using diffusion models.
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Use this if you need to accelerate the inference speed and improve the output quality of your text generation diffusion models.
Not ideal if you are looking for a pre-trained, ready-to-use text generation model without needing to modify or post-train existing diffusion architectures.
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Language
Python
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Last pushed
Sep 04, 2023
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