Seedream4 Models
Seedream v4, a cutting-edge image generation model by ByteDance, redefines creative workflows by combining lightning-fast inference speeds with breathtaking 4K high-definition output. Beyond its raw performance, the model leverages advanced knowledge and reasoning to interpret complex prompts with precision, enabling seamless prompt-based editing and a vast spectrum of versatile artistic styles that make it the ultimate solution for professional design, content creation, and digital marketing.
主要モデルを探索
Atlas Cloudは、業界をリードする最新のクリエイティブモデルを提供します。
Seedream4 Modelsの特徴
Atlas Cloudは、業界をリードする最新のクリエイティブモデルを提供します。
画像合成
Seedream v3–v4モデルを使用して、テキストプロンプトから画像を生成します。
直接編集
Seedream v4/edit エンドポイントを通じて画像を調整します。
シーケンシャル編集
Applies step-by-step changes with edit-sequential model.
順次出力
順次生成により、多段階の結果を出力します。
バージョンオプション
さまざまなニーズに合わせて、v3、v3.1、およびv4のバリアントを提供します。
画像入力
編集モデルは、既存の画像を入力として受け取り、プロンプトを使用してそれを修正することができます。
ピークスピード
最低コスト
| モダリティ | 説明 |
|---|---|
| Seedream v4 API(Text To Image) | Seedream v4 APIを使用することで、開発者はテキスト記述を魅力的で高忠実度なビジュアルに変換できます。高度な拡散アーキテクチャを活用し、複雑なディテールと芸術的な精度を特徴とする高解像度画像を1枚生成します。これは、迅速なコンセプトアート作成やプレミアムなデジタルアセットに最適です。 |
| Seedream v4 Edit API(Image To Image) | このAPIは、視覚的な変換に対するきめ細かな制御を提供し、開発者がテキストによるガイダンスを通じて既存の画像を修正または再構築することを可能にします。元の構造的整合性と新しい創造的な方向性のバランスを取りながら、単一の洗練された出力を生成し、プロフェッショナルなフォトレタッチや反復的なデザインワークフロー向けに最適化されています。 |
| Seedream v4 Sequential API(Text To Image) | Seedream v4 Sequential APIにより、クリエイターは単一のプロンプトまたはナラティブシーケンスから、1〜14枚の画像からなる一貫性のあるシリーズを生成できます。複数のフレーム間で厳密なスタイルとキャラクターの連続性を保証するため、迅速な絵コンテ作成、キャラクター設定画、テーマ別ビジュアルコレクションに最適なソリューションです。 |
| Seedream v4 Edit Sequential API(Image To Image) | 高度な反復ワークフロー向けに設計されたこのAPIは、参照画像を処理して、1〜14の異なるバリエーションまたは進化形のシーケンスを生成します。バッチ全体に漸進的な編集と文体的なシフトを適用することで、フレームごとのアニメーションキーや複雑なビジュアルストーリーテリングに最適化された多用途なアセットセットを提供します。 |
Seedream4 Models の新機能 + ショーケース
先進的なモデルと Atlas Cloud の GPU アクセラレーションプラットフォームを組み合わせ、画像・動画生成において比類のない速度、拡張性、クリエイティブコントロールを実現します。
Seedream v4 API を活用した深い知識と論理的推論
Seedream v4は膨大な意味データセットを統合し、人間のような推論能力と空間認識力で複雑なプロンプトを解釈します。入り組んだ文化的ニュアンスや物理法則を理解することで、生成されるすべての要素が文脈的に正確かつ論理的に妥当であることを保証します。これは、ビジュアルストーリーテリング、歴史的再現、そして概念的に複雑なクリエイティブブリーフのための究極のソリューションです。
Seedream v4 APIを使用した高精度なプロンプトベースの編集
Seedream v4は、元の構図を損なうことなく、直感的なテキストベースのコマンドを通じて画像属性の詳細な制御を可能にします。ユーザーはテクスチャ、照明、または特定の被写体を正確に修正でき、複数のイテレーションにわたってピクセル単位の完全な一貫性を保証します。これは、迅速なビジュアルプロトタイピング、プロフェッショナルな商業レタッチ、および動的なデザイン探求のための究極のソリューションです。
Seedream v4 APIによる無限の芸術的汎用性
Seedream v4は、超写実的な映画撮影から前衛的なデジタルイラストレーションに至るまで、広範な美的表現のライブラリを提供します。その適応型アーキテクチャはあらゆる芸術媒体の真髄を捉え、あらゆるビジョンに対して高忠実度のテクスチャと本格的なカラーグレーディングを実現します。これは、多様なブランドキャンペーン、没入型ゲームアセット、そしてハイエンドなクロスプラットフォームコンテンツ制作のための究極のソリューションです。
Seedream4 Models でできること
このモデルファミリーで構築できる実用的なユースケースとワークフローを発見 — コンテンツ作成や自動化から本番グレードのアプリケーションまで。
Seedream v4 APIによるハイエンドなEC画像
Seedream v4は、ブランドが高質感な製品ビジュアルを即座に生成できるようにし、ヘアライン加工された金属、グレインレザー、ダイナミックな液体の飛沫などの複雑な素材を緻密にレンダリングします。ネイティブ4K超高解像度出力を備えたこのモデルは、絶妙な光と影の遷移および被写界深度制御を維持します。これはラグジュアリーマーケティングやEコマースの詳細ページに最適なソリューションであり、物理的な照明セットアップなしでスタジオ品質の結果を実現します。
Seedream v4 APIを使用した迅速なクリエイティブコンセプティング
ペースの速いクリエイティブエージェンシー向けに、Seedream v4は業界最高水準の推論速度を活用し、ブレインストーミングで出たアイデアを数秒で高忠実度のビジュアルドラフトに変換します。この高速生成により、スクリプトからコンセプトアートまでのフィードバックループが大幅に短縮されるため、広告ピッチ、ソーシャルメディアのトレンド、そして納期と視覚的インパクトの両方が重要となる緊急性の高いマーケティングキャンペーンに最適です。
Seedream v4 APIによる超高解像度の大判印刷ビジュアル
Seedream v4によって生成されたビジュアルは、屋外の看板、バス停の広告、または物理的なギャラリー展示用に拡大しても、驚くべきピクセルの鮮明さを維持します。複雑なタイポグラフィ要素から広大なパノラマの細部に至るまで、このモデルはすべてのテクスチャが綿密な検査に耐えうることを保証します。これは、プレミアムなオフラインのビジュアルメディア、大規模なポスター、および室内装飾のために妥協のない解像度を必要とするあらゆるシナリオに適しています。
モデル比較
異なるプロバイダーのモデルを比較 — パフォーマンス、料金、独自の強みを確認して最適な選択を。
| モデル | 参照画像の制限 | 出力数 | 解像度 | アスペクト比 |
|---|---|---|---|---|
| Seedream v4 | 10 | 1~14 | 1024P~4K+ | Width[1024, 4096]px; Height[1024, 4096]px |
| Seedream 4.5 | 10 | 1~15 | 1080P~4K+ | Width[1440, 4096]px; Height[1440, 4096]px |
| Seedream 5.0 Lite | 14 | 1~15 | 2K~4K+ | 1:1 3:2 2:3 3:4 4:3 4:5 5:4 9:16 16:9 21:9 |
| Nano Banana 2 | 14 | 1 | 4K, 2K, 1K | 1:1 3:2 2:3 3:4 4:3 4:5 5:4 9:16 16:9 21:9 |
| Qwen-Image | 3 | 1~6 | 512P~2K | Width[512, 2048]px; Height[512, 2048]px |
| Wan 2.6 I2I(Image To Image) | 4 | 1 | 580P~1080P+ | 1:1 3:2 2:3 3:4 4:3 4:5 5:4 9:16 16:9 21:9 9:21 |
Atlas Cloud で Seedream4 Models を使う方法
数分で始められます — 以下の簡単なステップに従って、Atlas Cloud プラットフォームでモデルを統合・デプロイしましょう。
Atlas Cloud アカウントを作成
atlascloud.ai でサインアップし、認証を完了します。新規ユーザーには無料クレジットが付与され、プラットフォームの探索やモデルのテストに使用できます。
Atlas CloudでSeedream4 Modelsを使用する理由
高度なSeedream4 ModelsモデルとAtlas CloudのGPU加速プラットフォームを組み合わせることで、比類のないパフォーマンス、スケーラビリティ、開発者エクスペリエンスを提供。
パフォーマンスと柔軟性
低レイテンシ：
リアルタイム推論のためのGPU最適化推論。
統合API：
1つの統合でSeedream4 Models、GPT、Gemini、DeepSeekを実行。
透明な料金：
サーバーレスオプション付きの予測可能なtoken単位の課金。
エンタープライズとスケール
開発者エクスペリエンス：
SDK、分析、ファインチューニングツール、テンプレート。
信頼性：
99.99%の稼働率、RBAC、コンプライアンス対応ロギング。
セキュリティとコンプライアンス：
SOC 2 Type II、HIPAA準拠、米国内のデータ主権。
Seedream4 Models に関するよくある質問
最大4K Ultra-HD（4096*4096）出力をサポートし、大判印刷や高精度のデザインタスクにおいて驚くほど詳細なディテールを保証します。
Seedream v4は、推論速度の大幅な高速化と論理的推論力の強化を実現し、複雑なプロンプトにおける空間的関係のより正確な解釈を可能にします。
はい。Seedream v4は強力なプロンプトベースの編集機能を搭載しており、ユーザーは簡単なテキストコマンドでテクスチャ、照明、または特定の被写体を調整できます。
さらにファミリーを探索
Seedance 2.0 Models
Seedance 2.0（by Bytedance） is a multimodal video generation model that redefines "controllable creation," moving beyond the limitations of text or start/end frames. It supports quad-modal inputs—text, image, video, and audio—and introduces an industry-leading "Universal Reference" system. By precisely replicating the composition, camera movement, and character actions from reference assets, Seedance 2.0 solves critical issues with character consistency and physical coherence, empowering creators to act as true "directors" with deep control over their output.
GPT Image 2 Models
GPT Image 2 is a state-of-the-art multimodal foundation model engineered for exceptional text-to-image generation with unprecedented photorealism and creative versatility. Developed by OpenAI as the evolution of the DALL-E lineage, it transforms detailed natural language descriptions into hyper-realistic imagery at up to 4K resolution. With proprietary "Neural Rendering Engine" technology for precise visual control, GPT Image 2 delivers studio-quality results with accurate anatomy, lighting, and composition—making it the premier AI tool for professional creators, enterprises, and developers demanding production-ready visual assets.
Wan2.7 Models
Launching this March, Wan2.7 is the latest powerhouse in the Qwen ecosystem, delivering a massive upgrade in visual fidelity, audio synchronization, and motion consistency over version 2.6. This all-in-one AI video generator supports advanced features like first-and-last frame control, 3x3 grid synthesis, and instruction-based video editing. Outperforming competitors like Jimeng, Wan2.7 offers superior flexibility with support for real-person image inputs, up to five video references, and 1080P high-definition outputs spanning 2 to 15 seconds, making it the premier choice for professional digital storytelling and high-end content marketing.
Veo3.1 Models
Google DeepMind’s Veo 3.1 represents a paradigm shift in AI video generation, empowering creators with director-level narrative control and cinematic-grade audio quality that seamlessly integrates with its enhanced visual realism. By bridging the gap between imaginative concepts and photorealistic execution, this advanced model offers a transformative solution for a wide range of application scenarios, from professional filmmaking and high-end advertising to immersive digital content creation.
ERNIE Image Models
ERNIE-Image is an open-weight text-to-image model developed by the ERNIE-Image Team at Baidu, built on a single-stream Diffusion Transformer (DiT) with 8B parameters and paired with a lightweight Prompt Enhancer that rewrites short prompts into richer, more structured descriptions before passing them to the diffusion backbone. NYU Shanghai RITS Released on April 15, 2026 under the Apache 2.0 license, it transforms natural language descriptions into detailed imagery with particular strength in text rendering and structured layout generation. ERNIE-Image is designed not only for strong visual quality, but for controllability in practical generation scenarios where accurate content realization matters as much as aesthetics — making it well-suited for commercial posters, comics, multi-panel layouts, and other content creation tasks that require both visual quality and precise control.
Happy Horse 1.0
HappyHorse-1.0 is a unified multimodal AI video generation model that climbed to the top of the Artificial Analysis Video Arena blind-test leaderboard for both text-to-video and image-to-video generation. CNBC Alibaba Group confirmed ownership of HappyHorse, developed under its Alibaba Token Hub (ATH) business unit, where it leads benchmarks outperforming ByteDance's Seedance 2.0 and others. Caixin Global Led by Zhang Di — the former VP of Kuaishou who architected Kling AI — the 15-billion parameter model generates 1080p video with synchronized audio in a single pass using a unified transformer architecture that bypasses the multi-stage pipelines used by every major competitor.
GPT Image Models
The GPT Image Family is OpenAI's latest suite of multimodal image generation and editing models, built on the powerful GPT architecture. This family includes three tiers — GPT Image-1, GPT Image-1.5, and GPT Image-1 Mini — each available in both Text-to-Image and Image-to-Image variants. Combining GPT's world-class language understanding with DALL·E-class visual synthesis, these models deliver exceptional prompt adherence, photorealistic rendering, and creative versatility across illustration, photography, design, and visualization tasks. The series offers flexible pricing and quality tiers to match any workflow — from rapid prototyping and high-volume content production to professional-grade final deliverables. Whether you need ultra-fast iterations at minimal cost or maximum quality for brand campaigns, the GPT Image Family has a solution tailored to your needs.
Nano Banana2 Models
Nano Banana 2 (by Google), is a generative image model that perfectly balances lightning-fast rendering with exceptional visual quality. With an improved price-performance ratio, it achieves breakthrough micro-detail depiction, accurate native text rendering, and complex physical structure reconstruction. It serves as a highly efficient, commercial-grade visual production tool for developers, marketing teams, and content creators.
Seedream5.0 Models
Seedream 5.0, developed by ByteDance’s Jimeng AI, is a high-performance AI image generation model that integrates real-time search with intelligent reasoning. Purpose-built for time-sensitive content and complex visual logic, it excels at professional infographics, architectural design, and UI assistance. By blending live web insights with creative precision, Seedream 5.0 empowers commercial branding and marketing with a seamless, logic-driven workflow that turns sophisticated data into stunning, high-fidelity visuals.
Kling3.0 Models
Kuaishou’s flagship video generation suite, Kling 3.0, features two powerhouse models—Kling 3.0 (Upgraded from Kling 2.6) and Kling 3.0 Omni (Kling O3, Upgraded from Kling O1)—both offering high-fidelity native audio integration. While Kling 3.0 excels in intelligent cinematic storytelling, multilingual lip-syncing, and precision text rendering, Kling O3 sets a new standard for professional-grade subject consistency by supporting custom subjects and voice clones derived from video or image inputs. Together, these models provide a comprehensive solution tailored for cinematic narratives, global marketing campaigns, social media content, and digital skit production.
GLM LLM Models
GLM is a cutting-edge LLM series by Z.ai (Zhipu AI) featuring GLM-5, GLM-4.7, and GLM-4.6. Engineered for complex systems and long-horizon agentic tasks, GLM-5 outperforms top-tier closed-source models in elite benchmarks like Humanity’s Last Exam and BrowseComp. While GLM-4.7 specializes in reasoning, coding, and real-world intelligent agents, the entire GLM suite is fast, smart, and reliable, making it the ultimate tool for building websites, analyzing data, and delivering instant, high-quality answers for any professional workflow.
Open AI Model Families
Explore OpenAI’s language and video models on Atlas Cloud: ChatGPT for advanced reasoning and interaction, and Sora-2 for physics-aware video generation.
Seedance 2.0 Models
Seedance 2.0（by Bytedance） is a multimodal video generation model that redefines "controllable creation," moving beyond the limitations of text or start/end frames. It supports quad-modal inputs—text, image, video, and audio—and introduces an industry-leading "Universal Reference" system. By precisely replicating the composition, camera movement, and character actions from reference assets, Seedance 2.0 solves critical issues with character consistency and physical coherence, empowering creators to act as true "directors" with deep control over their output.
GPT Image 2 Models
GPT Image 2 is a state-of-the-art multimodal foundation model engineered for exceptional text-to-image generation with unprecedented photorealism and creative versatility. Developed by OpenAI as the evolution of the DALL-E lineage, it transforms detailed natural language descriptions into hyper-realistic imagery at up to 4K resolution. With proprietary "Neural Rendering Engine" technology for precise visual control, GPT Image 2 delivers studio-quality results with accurate anatomy, lighting, and composition—making it the premier AI tool for professional creators, enterprises, and developers demanding production-ready visual assets.
Wan2.7 Models
Launching this March, Wan2.7 is the latest powerhouse in the Qwen ecosystem, delivering a massive upgrade in visual fidelity, audio synchronization, and motion consistency over version 2.6. This all-in-one AI video generator supports advanced features like first-and-last frame control, 3x3 grid synthesis, and instruction-based video editing. Outperforming competitors like Jimeng, Wan2.7 offers superior flexibility with support for real-person image inputs, up to five video references, and 1080P high-definition outputs spanning 2 to 15 seconds, making it the premier choice for professional digital storytelling and high-end content marketing.
Veo3.1 Models
Google DeepMind’s Veo 3.1 represents a paradigm shift in AI video generation, empowering creators with director-level narrative control and cinematic-grade audio quality that seamlessly integrates with its enhanced visual realism. By bridging the gap between imaginative concepts and photorealistic execution, this advanced model offers a transformative solution for a wide range of application scenarios, from professional filmmaking and high-end advertising to immersive digital content creation.
ERNIE Image Models
ERNIE-Image is an open-weight text-to-image model developed by the ERNIE-Image Team at Baidu, built on a single-stream Diffusion Transformer (DiT) with 8B parameters and paired with a lightweight Prompt Enhancer that rewrites short prompts into richer, more structured descriptions before passing them to the diffusion backbone. NYU Shanghai RITS Released on April 15, 2026 under the Apache 2.0 license, it transforms natural language descriptions into detailed imagery with particular strength in text rendering and structured layout generation. ERNIE-Image is designed not only for strong visual quality, but for controllability in practical generation scenarios where accurate content realization matters as much as aesthetics — making it well-suited for commercial posters, comics, multi-panel layouts, and other content creation tasks that require both visual quality and precise control.
Happy Horse 1.0
HappyHorse-1.0 is a unified multimodal AI video generation model that climbed to the top of the Artificial Analysis Video Arena blind-test leaderboard for both text-to-video and image-to-video generation. CNBC Alibaba Group confirmed ownership of HappyHorse, developed under its Alibaba Token Hub (ATH) business unit, where it leads benchmarks outperforming ByteDance's Seedance 2.0 and others. Caixin Global Led by Zhang Di — the former VP of Kuaishou who architected Kling AI — the 15-billion parameter model generates 1080p video with synchronized audio in a single pass using a unified transformer architecture that bypasses the multi-stage pipelines used by every major competitor.
GPT Image Models
The GPT Image Family is OpenAI's latest suite of multimodal image generation and editing models, built on the powerful GPT architecture. This family includes three tiers — GPT Image-1, GPT Image-1.5, and GPT Image-1 Mini — each available in both Text-to-Image and Image-to-Image variants. Combining GPT's world-class language understanding with DALL·E-class visual synthesis, these models deliver exceptional prompt adherence, photorealistic rendering, and creative versatility across illustration, photography, design, and visualization tasks. The series offers flexible pricing and quality tiers to match any workflow — from rapid prototyping and high-volume content production to professional-grade final deliverables. Whether you need ultra-fast iterations at minimal cost or maximum quality for brand campaigns, the GPT Image Family has a solution tailored to your needs.
Nano Banana2 Models
Nano Banana 2 (by Google), is a generative image model that perfectly balances lightning-fast rendering with exceptional visual quality. With an improved price-performance ratio, it achieves breakthrough micro-detail depiction, accurate native text rendering, and complex physical structure reconstruction. It serves as a highly efficient, commercial-grade visual production tool for developers, marketing teams, and content creators.
Seedream5.0 Models
Seedream 5.0, developed by ByteDance’s Jimeng AI, is a high-performance AI image generation model that integrates real-time search with intelligent reasoning. Purpose-built for time-sensitive content and complex visual logic, it excels at professional infographics, architectural design, and UI assistance. By blending live web insights with creative precision, Seedream 5.0 empowers commercial branding and marketing with a seamless, logic-driven workflow that turns sophisticated data into stunning, high-fidelity visuals.
Kling3.0 Models
Kuaishou’s flagship video generation suite, Kling 3.0, features two powerhouse models—Kling 3.0 (Upgraded from Kling 2.6) and Kling 3.0 Omni (Kling O3, Upgraded from Kling O1)—both offering high-fidelity native audio integration. While Kling 3.0 excels in intelligent cinematic storytelling, multilingual lip-syncing, and precision text rendering, Kling O3 sets a new standard for professional-grade subject consistency by supporting custom subjects and voice clones derived from video or image inputs. Together, these models provide a comprehensive solution tailored for cinematic narratives, global marketing campaigns, social media content, and digital skit production.
GLM LLM Models
GLM is a cutting-edge LLM series by Z.ai (Zhipu AI) featuring GLM-5, GLM-4.7, and GLM-4.6. Engineered for complex systems and long-horizon agentic tasks, GLM-5 outperforms top-tier closed-source models in elite benchmarks like Humanity’s Last Exam and BrowseComp. While GLM-4.7 specializes in reasoning, coding, and real-world intelligent agents, the entire GLM suite is fast, smart, and reliable, making it the ultimate tool for building websites, analyzing data, and delivering instant, high-quality answers for any professional workflow.
Open AI Model Families
Explore OpenAI’s language and video models on Atlas Cloud: ChatGPT for advanced reasoning and interaction, and Sora-2 for physics-aware video generation.
