DiffuseVAE
Official implementation of "DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents"
Generate high-quality images by controlling a model that combines two advanced techniques for better results.
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Free · no card · unsubscribe anytimeOfficial implementation of "DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents"
DiffuseVAE has 384 stars on GitHub. It has been forked 38 times. DiffuseVAE is written mainly in Python. It has been in active development since 2021. DiffuseVAE is available under the MIT license. Its main topics are controllable-generation, ddpm, diffusion-models, generative-model.
What is DiffuseVAE?
Official implementation of "DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents"
Is DiffuseVAE open source?
DiffuseVAE is an open-source project. It is released under the MIT license.
Is DiffuseVAE free?
Yes. DiffuseVAE is free and open source — you can use, modify and self-host it.
What license does DiffuseVAE use?
DiffuseVAE is available under the MIT license.
What language is DiffuseVAE written in?
DiffuseVAE is written mainly in Python.
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