Zen-Designer-235B-A22B-Instruct π¨
Part of the Zen AI Model Family | Instruction-tuned variant
β¨ 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)
π― 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
π Performance
Benchmark | Score |
---|---|
DesignBench | 92.1% |
CreativeEval | 90.3% |
VQA | 95.8% |
UI/UX | 93.5% |
MMMU | 88.2% |
π» Quick Start
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)
π¨ 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
π Production Features
- Streaming: Real-time generation
- Caching: Reuse common patterns
- Templates: Pre-built design systems
- Plugins: Figma, Sketch, Adobe XD
- APIs: REST, GraphQL, WebSocket
π¦ 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 Γ Zoo Labs Foundation β’ Professional design at scale
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