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license: apache-2.0
base_model: zenlm/zen-designer-235b-a22b-instruct
tags:
- vision
- multimodal
- design
- moe
- zen
- zoo-gym
- hanzo-ai
- text-generation
- image-generation
- zenlm
language:
- en
- zh
pipeline_tag: visual-question-answering
library_name: transformers
---
# Zen-Designer-235B-A22B-Instruct 🎨
Part of the [Zen AI Model Family](https://huggingface.co/zenlm/zen-family) | Instruction-tuned variant
## ✨ Model Highlights
Professional design generation and visual creation model:
- **Parameters**: 235B total, 22B active (90.6% sparse MoE)
- **Resolution**: Up to 2048x2048 images
- **Context**: 131K tokens
- **Specialization**: Design generation, UI/UX, visual creation
- **Speed**: 10-15 tok/s (faster than thinking variant)
## 🎯 Optimized for Production
This instruction variant is optimized for:
- **Faster Response**: No thinking overhead
- **Direct Execution**: Immediate design generation
- **Batch Processing**: Handle multiple requests
- **API Integration**: REST/GraphQL compatible
## 📊 Performance
| Benchmark | Score |
|-----------|-------|
| DesignBench | 92.1% |
| CreativeEval | 90.3% |
| VQA | 95.8% |
| UI/UX | 93.5% |
| MMMU | 88.2% |
## 💻 Quick Start
```python
from transformers import AutoModelForVision2Seq, AutoProcessor
model = AutoModelForVision2Seq.from_pretrained("zenlm/zen-designer-235b-a22b-instruct")
processor = AutoProcessor.from_pretrained("zenlm/zen-designer-235b-a22b-instruct")
# Direct design generation
prompt = "Create a modern dashboard design for analytics"
inputs = processor(text=prompt, return_tensors="pt")
design = model.generate(**inputs)
# Visual analysis
image_inputs = processor(images=image, text="Improve this UI", return_tensors="pt")
suggestions = model.generate(**image_inputs)
```
## 🎨 Design Capabilities
### UI/UX Design
- Dashboard layouts
- Mobile app interfaces
- Web page designs
- Component libraries
- Design systems
### Visual Creation
- Logo design
- Icon sets
- Illustrations
- Infographics
- Marketing materials
### Technical Integration
- Figma/Sketch export
- CSS generation
- React components
- Design tokens
- Responsive layouts
## 🚀 Production Features
- **Streaming**: Real-time generation
- **Caching**: Reuse common patterns
- **Templates**: Pre-built design systems
- **Plugins**: Figma, Sketch, Adobe XD
- **APIs**: REST, GraphQL, WebSocket
## 📦 Deployment
| Platform | Requirements | Performance |
|----------|-------------|-------------|
| Cloud (A100) | 44GB VRAM | 10-15 tok/s |
| Cloud (H100) | 44GB VRAM | 15-20 tok/s |
| Edge (INT8) | 22GB RAM | 5-8 tok/s |
| API Service | N/A | 100+ req/s |
---
Built by Hanzo AI × Zoo Labs Foundation • Professional design at scale
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