CLARA

CLARA is an advanced generative diffusion model developed by Anthropic to produce high-fidelity synthetic images:

• It stands for Classification And Regression Adversary.
• CLARA is trained using adversarial diffusion modeling to generate realistic 1024x1024 images.
• Anthropic engineered the model architecture specifically for very high resolution generative modeling.
• Uses their Latent MCMC Sampler (LMS) technique for efficient and stable sampling.
• Adds a classification adversary during training to improve sample quality. The adversary tries to discriminate between real and generated images.
• This helps ensure generated samples lie on the manifold of natural images.
• CLARA can create photorealistic images of human faces, animals, natural scenes etc. from text prompts.
• The samples show unprecedented levels of detail and coherence for generative models of this size.

Anthropic claims CLARA sets a new state-of-the-art in image generation quality for adversarial diffusion models. They have not yet released the architecture details or made CLARA publicly available unlike other models like DALL-E. CLARA demonstrates the capabilities of adversarial training and LMS sampling to achieve cutting-edge sample fidelity.

In summary, CLARA is an advanced generative model from Anthropic capable of megapixel image generation with photorealistic quality using adversarial diffusion training and efficient sampling.