ACE++ - AI Image Models Tool

Overview

ACE++ is an instruction-based image creation and editing toolkit hosted on Hugging Face. It leverages context-aware content filling and diffusion-based models for portrait generation, subject-driven edits, and localized image edits, and includes installation instructions, demos, and LoRA fine-tuning guides.

Key Features

• Instruction-based image creation and editing
• Context-aware content filling for coherent edits
• Supports diffusion-based image generation and editing
• Portrait generation and subject-driven editing workflows
• Localized image edits with fine-grained control
• Demos, installation instructions, and usage guides
• Guides for fine-tuning models using LoRA
• Hosted as a model/repository on Hugging Face

Ideal Use Cases

• Create portraits from textual instructions
• Replace or retouch subjects while preserving context
• Perform localized edits without re-synthesizing whole image
• Fine-tune models for custom subjects using LoRA
• Prototype image-editing workflows and demo features

Getting Started

• Open the ACE++ repository page on Hugging Face
• Review installation instructions and repository requirements
• Run the provided demo notebooks or example scripts
• Follow guides to fine-tune models using LoRA
• Test with your images and iterate settings

Pricing

Not disclosed on the project page; check the Hugging Face repository for licensing and hosting terms.

Key Information

• Category: Image Models
• Type: AI Image Models Tool