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Seedream 3.0

Seedream 3.0 uses mixed-resolution training, VLM-based reward modeling, and layout-aware optimizations to produce photorealistic and text-rich images in seconds.
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Seedream 3.0

Seedream 3.0 is ByteDance’s bilingual text-to-image model that generates 2K-resolution images with fast inference and accurate typography.

Seedream 3.0 Description

Seedream 3.0 is ByteDance’s advanced bilingual text-to-image diffusion model. Designed for high-resolution image synthesis (2048×2048), it leverages a reward-guided training pipeline and layout-aware optimizations to deliver fast, photorealistic, and text-accurate results for creative, commercial, and UI-driven applications.

Technical Specification

Performance Benchmarks

Seedream 3.0 is optimized for high-fidelity image generation and multilingual text rendering.

  • Output Capacity: Up to 2048×2048 px (native 2K resolution)
  • Generation Speed: ~3 seconds for 1024×1024 px
  • Typography Fidelity: State-of-the-art rendering
  • ELO Benchmark: Tied #2 on Artificial Analysis Image Arena after GPT-4o (~1148 ELO)
  • Architecture: Diffusion-based model with:
    • Defect-aware sampling
    • Cross-modality RoPE
    • VLM-based reward modeling
    • Mixed-resolution training
    • Representation alignment loss
    • Importance-aware timestep sampling
  • API Pricing
    • $0.0315
API Price

Performance Metrics

Seedream 3.0 demonstrates strong visual accuracy and layout reliability across a wide range of prompts.

  • Prompt alignment: High consistency between text and visual output
  • Layout control: Stable multi-object and annotated composition
  • Speed: 4×–8× faster than Seedream 2.0 using improved timestep sampling
  • Text rendering: Outperforms Midjourney v6.1, Ideogram 3.0, and FLUX.1 in multilingual typography fidelity
Strong visual accuracy and layout reliability

Key Capabilities

Seedream 3.0 delivers professional-quality outputs with bilingual understanding and visual fidelity.

  • High-Resolution Output: Native generation at 2048×2048 without upscaling
  • Realistic Portraiture: Emotionally expressive characters and lighting
  • Text-Image Alignment: Semantic understanding for accurate visual grounding
  • Typography Engine: Supports small and dense multilingual text (EN, ZH)
  • Speed Optimization: Fast generation pipeline suitable for real-time use
  • Creative Layouts: Accurate spatial and object placement in complex scenes

Optimal Use Cases

  • Marketing Content: Posters, covers, and ads with integrated text elements
  • Portrait Illustration: Realistic character generation for games or media
  • Educational Visuals: Bilingual infographics or labeled diagrams
  • Social Media: Custom image assets for high-resolution posts
  • UI Mockups: Structured visual compositions with annotation support

Code Samples

Comparison with Other Models

  • Vs. Midjourney v6.1: Comparable artistic output, but Seedream delivers faster generation and better multilingual typography
  • Vs. Ideogram 3.0: Outperforms in layout precision and high-density text rendering
  • Vs. Seedream 2.0: Offers 4–8× faster output, 2K native resolution, and stronger semantic grounding
  • Vs. GPT-4o (Vision): GPT-4o has multimodal capability, but Seedream excels in dedicated visual output quality at high resolution
Leaderboard

Limitations

  • No image editing tools
  • No multimodal input
  • Text rendering may degrade at extreme prompt length or image clutter
  • No vision-to-text capabilities (image captioning, detection)

API Integration

Accessible via AI/ML API. Documentation: available here.

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