Abstract: Diffusion model-based networks have been widely applied in the field of image generation and have gradually demonstrated a strong potential in image colorization tasks. However, despite the ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Innovative drugs represent a critical approach to addressing ...

There is a mismatch between the loaded weights and the generated models. There are extra attention blocks in the loaded weights that are not present in the model. As config files I'm using the default ...

A few years ago, a new kind of AI called a diffusion model appeared. Today, it powers tools like Stable Diffusion and Runway Gen-2, turning text prompts into high-quality images and even short videos.

Diffusion model inferers class will move away from inferers.py. All the tutorials querying these will have to shift from the original inferers.py class to the new one.

AMD has officially enabled Stable Diffusion on its latest generation of Ryzen AI processors, bringing local generative AI image creation to systems equipped with XDNA 2 NPUs. The feature arrives ...

Abstract: Generative Diffusion Models (GDMs) have emerged as a transformative force in the realm of Generative Artificial Intelligence (GenAI), demonstrating their versatility and efficacy across ...

We present the vector quantized diffusion (VQ-Diffusion) model for text-to-image generation. This method is based on a vector quantized variational autoencoder (VQ-VAE) whose latent space is modeled ...