Alibaba Open Sources ACE++ Image Generation Tool: Character Consistency Without Training
February 10, 2025 — Alibaba Research Institute officially announces the open-source release of next-generation AI imaging tool ACE++. Based on innovative context-aware content filling algorithms, users can generate new images with highly consistent character features from just a single input image, supporting both online experience and local deployment.
Core Technical Innovations
Key Features
- Zero-Training Generation: Leveraging FLUX.1-Fill-dev base model, achieving training-free deployment through LoRA adaptation
- Multimodal Editing:
- Character Outfit Change (supports clothing/hairstyle/accessory changes)
- Scene Reconstruction (background replacement/object addition/removal)
- Smart Restoration (flaw removal/quality enhancement)
- Semantic Understanding: Can parse compound instructions like “add steam to coffee cup, place on wooden table”
Technical Breakthroughs
- Long Context Unit (LCU): Simultaneously processes image content, text instructions, and editing regions
- Dynamic Attention Mechanism: Achieves 92.3% feature retention rate at 512×512 resolution
- Two-Stage Optimization: Step-by-step training approach combining basic restoration and specialized editing skills
Application Scenarios Testing
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Typical Applications
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Virtual Model Outfit Changes
- Generate multi-angle displays from flat clothing images
- Supports dynamic adjustment of skin tone/body type/scene
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Film Character Design
- Achieves cross-style transformation (realistic→Disney/cyberpunk)
- Multi-scene generation maintaining character feature continuity
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Smart Image Restoration
- 4K resolution reconstruction of old photos
- Seamless removal of complex occlusions
Resource Access Channels
Official Entries
| Resource Type | Access Link |
|---|---|
| Project Homepage | https://ali-vilab.github.io/ACE_plus_page/ |
| Code Repository | GitHub |
| Online Experience | ModelScope |
Official Model Download Links
Specialized Adaptation Models
| Model Type | File Name | ModelScope Download | HuggingFace Download |
|---|---|---|---|
| Portrait Generation | comfyui_portrait_lora64.safetensors | Portrait Model | Portrait Model |
| Object Transfer | comfyui_subject_lora16.safetensors | Subject Model | Subject Model |
| Local Editing | comfyui_local_lora16.safetensors | LocalEditing Model | LocalEditing Model |
Base Dependency Models
| Model Name | Download Channel |
|---|---|
| FLUX.1-Fill-dev | HuggingFace Download |
| Flux-Fill FP8 | CivitAI Download |
Technical Development Outlook
The current version still has room for improvement in complex object processing (hand detail accuracy 62.3%) and Chinese text support. The development team reveals plans to launch video continuous frame editing functionality in Q3 2025, and will release the complete ACE++ Fully model by year-end.
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