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Imagen: Text-to-Image Diffusion Models Imagen is an AI system that creates photorealistic images from input text Visualization of Imagen Imagen uses a large frozen T5-XXL encoder to encode the input text into embeddings A conditional diffusion model maps the text embedding into a 64×64 image
Imagen Editor EditBench 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 Generative modeling has made tremendous progress, especially in recent text-to-image models Imagen Video is another step forward in generative modelling capabilities, advancing text-to-video AI systems
I V : HIGH D V GENERATION WITH D M - Imagen cascade of video diffusion models By extending the text-to-image diffusion models of Imagen (Saharia et al , 2022b) to the time domain, and training jointly on video and images, we obtained a model capable of gen-erating high fidelity videos with good temporal consistency while maintaining the strong features of the original image system, such