Create README.md

README.md

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+---
+license: apache-2.0
+base_model:
+- Yuanshi/OminiControl
+---
+<div align="center">
+  <a href="https://fotographer.ai/">
+    <picture>
+      <source media="(max-width: 424px" srcset="https://storage.googleapis.com/fotographer-cdn/app-static-assets/zen_ctrl/banner_sm.avif" type="image/avif">
+      <source media="(min-width: 425px" srcset="https://storage.googleapis.com/fotographer-cdn/app-static-assets/zen_ctrl/banner.avif" type="image/avif">
+      <source media="(max-width: 424px" srcset="https://storage.googleapis.com/fotographer-cdn/app-static-assets/zen_ctrl/banner_sm.webp" type="image/webp">
+      <source media="(min-width: 425px" srcset="https://storage.googleapis.com/fotographer-cdn/app-static-assets/zen_ctrl/banner.webp" type="image/webp">
+      <img alt="ZenCtrl Banner" src="https://storage.googleapis.com/fotographer-cdn/app-static-assets/zen_ctrl/banner_lg.png" />
+    </picture>
+  </a>
+  <h1>ZenCtrl</h1>
+</div>
+
+**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.
+
+<div align="center">
+  <a href="https://github.com/FotographerAI/ZenCtrl/tree/main" name="github_repo_link">
+  <img src="https://img.shields.io/badge/GitHub-Repo-181717.svg" alt="GitHub Repo">
+</a>
+
+  <!-- <a href="https://huggingface.co/spaces/YOUR_ORG/ZenCtrl" name="huggingface_space_link"><img src="https://img.shields.io/badge/🤗_HuggingFace-Space-ffbd45.svg" alt="HuggingFace Space"></a> -->
+  <a href="https://discord.com/invite/b9RuYQ3F8k" name="discord_link"><img src="https://img.shields.io/badge/Discord-Join-7289da.svg?logo=discord" alt="Discord"></a>
+  <a href="https://fotographer.ai/" name="lp_link"><img src="https://img.shields.io/badge/Website-Landing_Page-blue" alt="LP"></a>
+  <a href="https://x.com/FotographerAI" name="twitter_link"><img src="https://img.shields.io/twitter/follow/FotographerAI?style=social" alt="X"></a>
+</div>
+
+---
+
+## 🧠 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.**
+
+---
+
+## 📦 Github code
+https://github.com/FotographerAI/ZenCtrl/tree/main
+
+---
+
+## 🛠 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
+
+---
+
+## 🎯 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)
+
+---
+
+## 📦 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**.
+
+---
+
+## 📢 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.
+
+---
+
+## 📋 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
+
+---
+
+## 🤝 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]() -->
+
+---
+
+## 🤝 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.