Try out some prompts of your own and experiment!
The resulting gif shows a much clearer and more coherent shift between the two
#Matplotlib subplot size mac
Note that if you are running with a M1 Mac GPU you should not enable mixed precision.Ģ5/25 - 49s 244ms/stepĢ5/25 - 6s 244ms/stepĢ5/25 - 6s 245ms/stepĢ5/25 - 6s 243ms/step To start, we import KerasCV and load up a Stable Diffusion model using the High-level understanding of Stable Diffusion.īy reading the Stable Diffusion Tutorial. Stable Diffusion's visual latent manifold, as well as through In KerasCV to perform prompt interpolation and circular walks through
#Matplotlib subplot size how to
In this guide, we will show how to take advantage of the Stable Diffusion API Latent space, and can ultimately lead to improvements in the training These animations can provide insight into the feature map of the Where each sampled point is fed to the decoder and is stored as aįor high-quality latent representations, this produces coherent-lookingĪnimations. Its most common application is generating animations Sampling a point in latent space and incrementally changing the latent Latent space walking, or latent space exploration, is the process of Which is learned using a combination of pretraining and training-time It has two latent spaces: the image representation space learned by theĮncoder used during training, and the prompt latent space Stable Diffusion isn't just an image model, though, it's also a natural language model. Intermediate points would be called "interpolations" between To move from A to B via a path where each intermediate point is also on the manifold (i.e. For any two points A and B on the manifold (i.e.Moving a little on the manifold only changes the corresponding image a little (continuity).This latent manifold of images is continuous and interpolative, meaning that: Is called "decoding" - in the Stable Diffusion model, this is handled by Going from such a point on the manifold back to a displayable image Generative image models learn a "latent manifold" of the visual world:Ī low-dimensional vector space where each point maps to an image. A walk through latent space with Stable Diffusionĭescription: Explore the latent manifold of Stable Diffusion.
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