DeepFloyd IF is a state-of-the-art text-to-image model that can generate high-quality images based on text prompts. It was introduced by StabilityAI and its multimodal AI research lab DeepFloyd. The model consists of a frozen text encoder based on the T5 transformer and three cascaded pixel diffusion modules: a base model that generates 64×64 px image, and two super-resolution models that upscale the image to 256×256 px and 1024×1024 px23. The model has a high degree of photorealism and language understanding, achieving a zero-shot FID score of 6.66 on the COCO dataset. The model can also perform image modification, style transfer, super-resolution and inpainting using text prompts.
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