README.md

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license: apache-2.0
base_model:
  - Yuanshi/OminiControl
---

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  <h1>ZenCtrl</h1>
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**An all-in-one, control framework for unified visual content creation using GenAI.**  
Generate multi-view, diverse-scene, and task-specific high-resolution images from a single subject image—without fine-tuning.

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## 🧠 Overview

**ZenCtrl** is a comprehensive toolkit built to tackle core challenges in image generation:

- No fine-tuning needed – works from **a single subject image**
- Maintains **control over shape, pose, camera angle, context**
- Supports **high-resolution**, multi-scene generation
- Modular toolkit for preprocessing, control, editing, and post-processing tasks

ZenCtrl is based on OminiControl but enhanced with more fine-grained control, consistent subject preservation, and more improved and ready-to-use models. Our goal is to build an **agentic visual generation system** that can orchestrate image/video creation from **LLM-driven recipes.**

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## 📦 Github code

https://github.com/FotographerAI/ZenCtrl/tree/main

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## 🛠 Toolkit Components (coming soon)

### 🧹 Preprocessing

- Background removal
- Matting
- Reshaping
- Segmentation

### 🎮 Control Models

- Shape (Canny, HED, Scribble, Depth)
- Pose (OpenPose, DensePose)
- Mask control
- Camera/View control

### 🎨 Post-processing

- Deblurring
- Color fixing
- Natural blending

### ✏️ Editing Models

- Inpainting (removal, masked editing, replacement)
- Outpainting
- Transformation / Motion
- Relighting

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## 🎯 Supported Tasks

- Background generation
- Controlled background generation
- Subject-consistent context-aware generation
- Object and subject placement (coming soon)
- In-context image/video generation (coming soon)
- Multi-object/subject merging & blending (coming soon)
- Video generation (coming soon)

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## 📦 Target Use Cases

- Product photography
- Fashion & accessory try-on
- Virtual try-on (shoes, hats, glasses, etc.)
- People & portrait control
- Illustration, animation, and ad creatives

All of these tasks can be **mixed and layered** — ZenCtrl is designed to support real-world visual workflows with **agentic task composition**.

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## 📢 News

- **2025-03-26**: 🧠 First release — model weights available on Hugging Face!
- **Coming Soon**: Source code release, Quick Start guide, Example notebooks
- **Next**: Controlled fine-grain version on our platform and API (Pro version)
- **Future**: Video generation toolkit release

## 🚧 Limitations

1. Models currently perform best with **objects**, and to some extent **humans**.
2. Resolution support is currently capped at **1024x1024** (higher quality coming soon).
3. Performance with **illustrations** is currently limited.
4. The models were **not trained on large-scale or highly diverse datasets** yet — we plan to improve quality and variation by training on larger and more diverse datasets, especially for **illustration and stylized content**.
5. Video support and the full **agentic task pipeline** are still under development.

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## 📋 To-do

- [x] Release early pretrained model weights for defined tasks
- [ ] Release additional task-specific models and modes
- [ ] Release open source code (coming soon)
- [ ] Release Quick Start guide and example notebooks
- [ ] Launch API access via our app and Baseten for easier deployment
- [ ] Release high-resolution models (1500×1500+)
- [ ] Enable full toolkit integration with agent API
- [ ] Add video generation module

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## 🤝 Join the Community

- 💬 [Discord](https://discord.com/invite/b9RuYQ3F8k) – share ideas and feedback
- 🌐 [Landing Page](https://fotographer.ai)
- 🧪 [Try it now on Hugging Face Space (release on 2025/03/28 PST)](https://huggingface.co/fotographerai/zenctrl_tools/tree/main/weights)
<!-- - 🧠 [Blog]() -->

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## 🤝 Community Collaboration

We hope to collaborate closely with the open-source community to make **ZenCtrl** a powerful and extensible toolkit for visual content creation.  
Once the source code is released, we welcome contributions in training, expanding supported use cases, and developing new task-specific modules.  
Our vision is to make ZenCtrl the **standard framework** for agentic, high-quality image and video generation — built together, for everyone.