
Seedream v4 Edit API by ByteDance
Open and Advanced Large-Scale Image Generative Models.
Seedream 4.0 - ByteDance 올인원 비주얼 창작 모델
신규 출시Doubao 최신 세대 이미지 창작 엔진
Seedream 4.0은 ByteDance의 최신 세대 이미지 창작 모델로, 「생성과 편집 일체화」를 지향하는 전문가용 도구입니다. 하나의 모델로 텍스트 기반 이미지 생성, 이미지 편집, 다중 이미지 생성 작업을 모두 처리하여, 영감에서 구현까지 이어지는 창작 여정을 더욱 효율적이고 제어 가능하게 만들어 줍니다.
모델 하이라이트
정밀 명령어 편집, 고특징 보존, 심층 의도 이해, 다중 이미지 입출력, 초고화질 해상도 등 다섯 가지 핵심 기능을 갖추고 있습니다. 다양한 창작 시나리오를 지원하여 모든 영감을 즉시 고품질로 구현해 드립니다.
정밀 명령어 편집
일상적인 언어로 요구 사항을 설명하기만 하면 추가, 삭제, 수정, 교체 작업을 정확하게 수행합니다. 상업 디자인, 예술 창작, 엔터테인먼트 등 다양한 분야에 활용 가능합니다.
고특징 보존
심층 의도 이해
다중 이미지 입출력
여러 이미지를 한 번에 입력하여 결합, 이전, 교체, 파생 등 복잡한 편집 작업을 지원하며 고난도 합성을 실현합니다
초고화질 해상도
해상도가 한 단계 더 업그레이드되어 초고화질 출력을 지원하며 전문가급 이미지 품질을 제공합니다
활용 사례
Prompt Examples & Creative Templates
Discover the power of Seedream 4.0 with these carefully crafted prompt examples. Each template showcases specific capabilities and helps you achieve professional results.

Perspective & Composition Control
Transform camera angles, adjust scene distance, and modify aspect ratios with precisionChange the camera angle from eye-level to bird's-eye view, adjust the scene from close-up to medium shot, and convert the image aspect ratio to 16:9. Maintain all original elements and lighting while adapting the composition for the new perspective and format.
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Mathematical Whiteboard Creation
Generate clean whiteboard with precise mathematical formulas and equationsCreate a clean white whiteboard with the following mathematical equations written in clear, professional handwriting: E=mc², √(9)=3, and the quadratic formula (-b±√(b²-4ac))/2a. Use black or dark blue marker style, with proper spacing and mathematical notation.
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Sketch to Reality Transformation
Transform rough sketches into detailed realistic objects - bringing wild imagination to lifeBased on this rough sketch, generate a vintage television set from the 1950s-60s era. Transform the abstract lines and shapes into a realistic, detailed old-style TV with wooden cabinet, rounded screen, control knobs, and period-appropriate design elements. Make the vague concept concrete and lifelike.
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Lossless Detail Enhancement
Maximize original image detail retention, avoiding AI-generated artifacts for truly lossless editingEnhance this image while maximizing the preservation of original details. Avoid any AI-generated 'plastic' or 'oily' artifacts. Maintain authentic textures, natural lighting, and original image characteristics. Focus on clean, lossless enhancement that respects the source material's integrity.
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Creative Font Styling
Transform plain text into artistic, creative typography while maintaining readabilityTransform all the text in this image into creative, artistic fonts. Replace the standard typography with stylized lettering that matches the image's aesthetic - use decorative fonts, calligraphy styles, or artistic text treatments. Maintain the same text content and layout while making the typography more visually appealing and creative.
핵심 기능
고급 텍스트 이해 및 이미지 생성 기능을 갖추고 있으며 다양한 예술 스타일과 전문적인 요구 사항을 지원합니다. 개념에서 완성작까지 한 번에 완성합니다.
자연어 기반 편집 명령으로 오브젝트 추가/제거, 스타일 전환, 배경 교체 등 다양한 고급 편집 작업을 지원합니다.
혁신적인 다중 이미지 입력 기능으로 복잡한 이미지 합성, 스타일 이전, 창의적인 조합을 전례 없는 수준의 제어력으로 구현합니다.
왜 Seedream 4.0을 선택해야 할까요?
올인원 솔루션
단일 모델로 생성, 편집, 합성을 모두 처리 - 여러 도구를 전환할 필요가 없습니다전문가급 품질
상업용 수준의 출력 품질과 모든 세부 사항에 대한 정밀한 제어일관된 스타일
여러 번의 생성 및 편집에서도 캐릭터와 스타일의 일관성을 유지합니다기술 사양
Seedream 4.0의 강력한 기능을 경험하세요
전 세계 크리에이터와 함께 ByteDance의 가장 진보한 통합 이미지 AI 모델로 비주얼 콘텐츠 창작을 혁신하세요.
Seedream 4: A next-generation multimodal image generation system developed by ByteDance Seed
Model Card Overview
| Field | Description |
|---|---|
| Model Name | Seedream 4 |
| Developed by | ByteDance Seed Team |
| Release Date | September 9, 2025 |
| Model Type | Multimodal Image Generation |
| Related Links | Official Website, Technical Report (arXiv), GitHub Organization (ByteDance-Seed) |
Introduction
Seedream 4 is a powerful, efficient, and high-performance multimodal image generation system that unifies text-to-image (T2I) synthesis, image editing, and multi-image composition within a single, integrated framework. Engineered for scalability and efficiency, the model introduces a novel diffusion transformer (DiT) architecture combined with a powerful Variational Autoencoder (VAE). This design enables the fast generation of native high-resolution images up to 4K, while significantly reducing computational requirements compared to its predecessors.
The primary goal of Seedream 4 is to extend traditional T2I systems into a more interactive and multidimensional creative tool. It is designed to handle complex tasks involving precise image editing, in-context reasoning, and multi-image referencing, pushing the boundaries of generative AI for both creative and professional applications.
Key Features & Innovations
Seedream 4 introduces several key advancements in image generation technology:
- Unified Multimodal Architecture: It integrates T2I generation, image editing, and multi-image composition into a single model, allowing for seamless transitions between different creative workflows.
- Efficient and Scalable Design: The model features a highly efficient DiT backbone and a high-compression VAE, achieving over 10x inference acceleration compared to Seedream 3.0 while delivering superior performance. This architecture is hardware-friendly and easily scalable.
- Ultra-Fast, High-Resolution Output: Seedream 4 can generate native high-resolution images (from 1K to 4K) in as little as 1.4 to 1.8 seconds for a 2K image, greatly enhancing user interaction and production efficiency.
- Advanced Multimodal Capabilities: The model excels at complex tasks such as precise, instruction-based image editing, in-context reasoning, and generating new images by blending elements from multiple reference images.
- Professional and Knowledge-Based Content Generation: Beyond artistic imagery, Seedream 4 can generate structured and knowledge-based content, including charts, mathematical formulas, and professional design materials, bridging the gap between creative expression and practical application.
- Advanced Training and Acceleration: The model is pre-trained on billions of text-image pairs and utilizes a multi-stage post-training process (CT, SFT, RLHF) to enhance its capabilities. Inference is accelerated through a combination of adversarial distillation, quantization, and speculative decoding.
Model Architecture & Technical Details
Seedream 4's architecture is a significant leap forward, focusing on efficiency and power. The core components are a diffusion transformer (DiT) and a Variational Autoencoder (VAE).
- Pre-training Data: Billions of text-image pairs, including a specialized pipeline for knowledge-related data like instructional images and formulas.
- Training Strategy: A multi-stage approach, starting at a 512x512 resolution and fine-tuning at higher resolutions up to 4K.
- Post-training: A joint multi-task process involving Continuing Training (CT), Supervised Fine-Tuning (SFT), and Reinforcement Learning from Human Feedback (RLHF) to enhance instruction following and alignment.
- Inference Acceleration: A holistic system combining an adversarial learning framework, hardware-aware quantization (adaptive 4/8-bit), and speculative decoding.
Intended Use & Applications
Seedream 4 is designed for a wide range of creative and professional applications, moving beyond simple image generation to become a comprehensive visual content creation tool.
- Creative Content Generation: Creating high-quality, artistic images, illustrations, and concept art from text prompts.
- Advanced Image Editing: Performing complex edits on existing images using natural language instructions, such as adding or removing objects, changing styles, and modifying backgrounds.
- Design and Marketing: Generating professional design materials, product mockups, and marketing visuals with precise control over text and branding elements.
- Educational and Technical Content: Creating structured, knowledge-based visuals like diagrams, charts, and mathematical formulas for educational or technical documentation.
- Multi-Image Composition: Blending elements from multiple source images to create new compositions, such as virtual try-ons for fashion or combining characters with new scenes.
Performance
Seedream 4 has demonstrated state-of-the-art performance on both internal and public benchmarks as of September 18, often outperforming other leading models in text-to-image and image editing tasks.
MagicBench (Internal Benchmark)
| Task | Performance Summary |
|---|---|
| Text-to-Image | Achieved high scores in prompt following, aesthetics, and text-rendering. |
| Single-Image Editing | Showed a good balance between prompt following and alignment with the source image. |

















