An interesting article about how it’s possible to generate 8 images in 8 seconds using Google Colab and a TPU runtime.
In the world of AI art, the ability to generate high-quality images quickly is a highly sought-after feature. The use of diffusion models has gained significant attention due to their ability to produce realistic and diverse images. One such framework that has recently gained popularity is Stable Diffusion, implemented in JAX / Flax.
Stable Diffusion is a powerful generative model that utilizes diffusion processes to progressively refine an image over multiple steps. It involves repeatedly applying a Gaussian diffusion process to a set of latent variables, resulting in the generation of diverse and high-quality images. By controlling the strength of this diffusion process, artists can manipulate the level of details and artistic qualities in the generated images.
Implementing Stable Diffusion using JAX / Flax provides several advantages. JAX, a high-performance numerical computing library, enables seamless acceleration on hardware accelerators such as TPUs, ensuring efficient image generation. Flax, on the other hand, offers a user-friendly interface and simplifies the model development process.
By leveraging the power of JAX / Flax, it is possible to generate eight images in just eight seconds using Google Colab and a TPU runtime. This unprecedented speed allows artists to iterate quickly and experiment with different parameters, leading to fascinating outputs.
Stable Diffusion in JAX / Flax is revolutionizing the world of AI art by combining powerful generative algorithms with efficient model implementation. The ability to generate high-quality images rapidly opens up immense opportunities for artists to explore their creativity and produce stunning visual outputs.
To learn more about Stable Diffusion in JAX / Flax, and witness the incredible results it offers, check out the full article here.
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