Search results
Results from the WOW.Com Content Network
We present Imagen, a text-to-image diffusion model with an unprecedented degree of photorealism and a deep level of language understanding. Imagen builds on the power of large transformer language models in understanding text and hinges on the strength of diffusion models in high-fidelity image generation.
A key challenge is to generate edits that are faithful to input text prompts, while consistent with input images. We present Imagen Editor , a cascaded diffusion model built by fine-tuning Imagen on text-guided image inpainting.
Imagen Video is another step forward in generative modelling capabilities, advancing text-to-video AI systems. Video generative models can be used to positively impact society, for example by amplifying and augmenting human creativity.
work on diffusion-based image generation to the video generation setting. Fi-nally, we apply progressive distillation to our video models with classifier-free guidance for fast, high quality sampling. We find Imagen Video not only capable of generating videos of high fidelity, but also having a high degree of controlla-