Iigroup

tedigan

Text-Guided Diverse Face Image Manipulation is a model that generates diverse and realistic face images by manipulating existing images based on textual descriptions. It uses a variation of the VQ-VAE-2 image generation model, combined with a text-to-image synthesis model, to produce images that accurately represent the text input. The model has been trained on a large dataset of face images and textual descriptions, allowing it to generate highly realistic and varied images based on textual prompts.

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