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Emu Edit is an image generation tool that offers precise image editing via recognition and generation tasks. It is a multi-task model capable of region-based and free-form editing.
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About
Emu Edit is a multi-task image editing model developed by AI at Meta, setting a new state-of-the-art in instruction-based image editing. It adapts its architecture for multi-task learning, training across an unprecedented range of tasks including region-based editing, free-form editing, and computer vision tasks like detection and segmentation, all formulated as generative tasks. The model introduces learned task embeddings to steer the generation process effectively. Emu Edit can swiftly adapt to new tasks such as super-resolution and contour detection through few-shot learning and task inversion, making it advantageous for scenarios with limited labeled examples or low compute budgets. It also provides a benchmark for evaluating instruction-based image editing models.
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Pricing & Plans
Likely Free
Not publicly disclosed. Check emu-edit.metademolab.com for current pricing.
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