The ACE++ tool integrates instruction-based image generation and editing within the ComfyUI framework, facilitating context-aware content filling. It aims to streamline and enhance user workflows by allowing flexible model applications across various image processing tasks.
- Supports multiple specialized models for tasks such as portrait generation, subject consistency, and local editing.
- Allows for advanced image editing capabilities, enabling users to maintain the structural integrity of images while applying modifications.
- Provides community-driven workflows and examples, enhancing usability and encouraging collaborative development.
Context
ACE++ is a sophisticated extension for ComfyUI that combines reference image generation, local editing, and controllable generation into a unified framework. Its goal is to offer a versatile model that adapts to a wide variety of tasks, thereby simplifying the image creation and editing processes.
Key Features & Benefits
The tool features several specialized models, including the Portrait LoRA, Subject LoRA, and Local Editing LoRA, each designed for specific tasks. This specialization allows users to achieve high-quality results tailored to their needs, such as maintaining character consistency in portraits or ensuring subjects remain consistent across different scenes.
Advanced Functionalities
ACE++ includes an FFT model that enhances image editing capabilities by introducing additional channels for distinguishing between different tasks. This model supports various instructive editing tasks and allows users to engage in complex image processing, such as super-resolution and depth-guided generation, further expanding its practical applications.
Practical Benefits
By integrating ACE++ into their workflows, users can significantly improve their control over image generation and editing processes. The tool enhances the quality of outputs while increasing efficiency, allowing users to execute complex tasks with minimal effort. Additionally, the availability of community workflows and examples fosters a collaborative environment that encourages experimentation and innovation.
Credits/Acknowledgments
The development of ACE++ is credited to Chaojie Mao, Jingfeng Zhang, Yulin Pan, Zeyinzi Jiang, Zhen Han, Yu Liu, and Jingren Zhou from Tongyi Lab, Alibaba Group. The tool is based on the open-source FLUX.1-Fill-dev series and adheres to its licensing terms.