OmniGen is a unified diffusion model designed to perform a wide range of image generation tasks from multi-modal prompts. Unlike traditional models that require additional modules like ControlNet or IP-Adapter, OmniGen simplifies the process by handling various tasks within a single framework.
Key Features
Unified Model: Performs text-to-image generation, image editing, subject-driven generation, and visual-conditional generation without the need for additional modules.
Simplified Architecture: Eliminates the need for extra preprocessing steps such as face detection or pose estimation.
Knowledge Transfer: Applies learned knowledge across different tasks and domains, exhibiting novel capabilities.
Multi-Modal Input: Handles arbitrarily interleaved text and image inputs as conditions to guide image generation.
Fine-Tuning Capability: Allows for easy fine-tuning on specific tasks with minimal setup.
Android DevHub
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