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DeepFloyd IF

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DeepFloyd IF was developed by StabilityAI...

Collection time:
2023-08-10
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DeepFloyd IFDeepFloyd IF
DeepFloyd IF

DeepFloyd IF is an open source text-to-image generation model from the DeepFloyd research team under StabilityAI, IF is a modular neural network based on a cascade approach.

  • IFs are built from multiple neural modules (separate neural networks that process specific tasks) that join together within an architecture to produce synergistic effects.
  • IF generates high-resolution images in a cascading fashion: starting with a base model that produces low-resolution samples, which are then boosted by a series of upgraded models to create stunning high-resolution images.
  • The underlying and super-resolution model of IF uses a diffusion model that utilizes a Markov chain step to introduce random noise into the data and then reverses the process to generate new data samples from the noise.
  • IF operates in pixel space rather than relying on latent diffusion (e.g., stabilizing diffusion) of latent image representations.
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