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Emu Edit is a cutting-edge multi-task image editing model that has revolutionized instruction-based image editing. By adapting its architecture for multi-task learning and training it on a diverse array of tasks, such as region-based and free-form editing as well as detection and segmentation, Emu Edit sets a new standard. The model leverages learned task embeddings and few-shot learning, enabling it to adapt swiftly to new tasks with minimal labeled examples. It performs exceptionally in seven benchmarked tasks, ranging from background alteration to object addition, showcasing its versatile capabilities.
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Multi-task image editing
Region-based editing
Free-form editing
Computer vision tasks: detection and segmentation
Learned task embeddings
Few-shot learning
Task inversion
Benchmark with seven tasks
State-of-the-art performance
Unprecedented task diversity
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Use Emu Edit for precise region-based and free-form editing tasks to enhance graphic designs.
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Enhance and manipulate photos with tasks such as background alteration and object addition using Emu Edit.
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Develop compelling ad visuals through comprehensive image changes and texture alterations with Emu Edit.
Integrate Emu Edit’s capabilities into applications for user-driven image editing features.
Teach concepts of image editing and computer vision using Emu Edit’s diverse task capabilities as practical examples.
Experiment with creative edits using free-form editing and style alteration tasks with Emu Edit.
Produce high-quality, edited visuals for blogs, videos, and online content using Emu Edit.
Explore the latest advancements in multi-task learning and generative models through Emu Edit's architecture.
Get the latest AI workflows to boost your productivity and business performance, delivered weekly by expert consultants. Enjoy step-by-step guides, weekly Q&A sessions, and full access to our AI workflow archive.