Zen-Designer-235B-A22B-Instruct 🎨

Part of the Zen AI Model 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

πŸ“Š Performance

Benchmark Score
DesignBench 92.1%
CreativeEval 90.3%
VQA 95.8%
UI/UX 93.5%
MMMU 88.2%

πŸ’» 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)

🎨 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

πŸš€ Production Features

  • Streaming: Real-time generation
  • Caching: Reuse common patterns
  • Templates: Pre-built design systems
  • Plugins: Figma, Sketch, Adobe XD
  • APIs: REST, GraphQL, WebSocket

πŸ“¦ 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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