Qwen Image Models
Kling AIは、Kuaishouによって開発されたテキスト動画生成（Text-to-Video）モデルで、テキストプロンプトからリアルで高品質な動画を作成します。スムーズな動き、安定したフレーム、自然なシーン表現に重点を置いています。Klingはショート動画、広告、マーケティングコンテンツに適しており、クリエイターの時間を節約し、制作コストを削減するのに役立ちます。動画の一貫性とリアリズムにおいて高いパフォーマンスを発揮するKling AIは、AI動画生成分野で人気のある選択肢となりつつあります。
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。
Qwen-Image Edit Plus 20251215
Supports multiple image inputs and outputs, allowing for precise modification of text within images, addition, deletion, or movement of objects, alteration of subject actions, transfer of image styles, and enhancement of image details.
Z-Image-Turbo LoRA
Z-Image-Turbo LoRA (6B) enables ultra-fast text-to-image generation with external LoRA support. Generate photorealistic images in sub-second latency while applying up to 3 LoRAs for custom styles. Ready-to-use REST API, best performance, no coldstarts, affordable pricing.
Z-Image Turbo
Z-Image-Turbo is a 6 billion parameter text-to-image model that generates photorealistic images in sub-second time. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Qwen Image Edit
Qwen-Image-Edit — a 20B MMDiT model for next-gen image edit generation.
Qwen Image Edit Plus
Qwen-Image-Edit-Plus a 20B MMDiT model for next-gen image edit generation.
Qwen-Image Text-to-image Max
General-purpose image generation model that supports various art styles and is particularly good at rendering complex text.
Qwen-Image Text-to-image Plus
General-purpose image generation model that supports various art styles and is particularly good at rendering complex text.
Qwen-Image Edit
Supports multiple image inputs and outputs, allowing for precise modification of text within images, addition, deletion, or movement of objects, alteration of subject actions, transfer of image styles, and enhancement of image details.
Qwen-Image Edit Plus
Supports multiple image inputs and outputs, allowing for precise modification of text within images, addition, deletion, or movement of objects, alteration of subject actions, transfer of image styles, and enhancement of image details.
Wan-2.1 Text-to-image Lora
Revolutionary text-to-image generation powered by Wan 2.1.
Qwen Image Text-to-image
Qwen-Image , a 20B MMDiT model for next-gen text-to-image generation.
Wan-2.1 Text-to-Image
Revolutionary text-to-image generation powered by Wan 2.1.
Qwen Image 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。
End-to-End Visual Generation
Create and transform images and videos from text, images, or existing clips in one unified model suite.
High-Fidelity Output
Maintain photorealistic detail across edits and animation.
Animate Images Naturally
Turn a single photo into smooth, coherent video with realistic motion and timing.
Creative Control
Edit with prompts, sketches, or styles at object level.
Multilingual Prompts
Understand English, Chinese, and more equally well.
Production Ready
Fast, cost-efficient, and API-ready for scale.
Qwen Image Modelsでできること
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。
1import requests
2
3url = "https://api.atlascloud.ai/v1/chat/completions"
4headers = {
5 "Content-Type": "application/json",
6 "Authorization": "Bearer $ATLASCLOUD_API_KEY"
7}
8data = {
9 "model": "",
10 "messages": [
11 {
12 "role": "user",
13 "content": "what is difference between http and https"
14 }
15 ],
16 "max_tokens": 32768,
17 "temperature": 1,
18 "stream": True
19}
20
21response = requests.post(url, headers=headers, json=data)
22print(response.json())Generate photorealistic product or campaign images from text prompts in English or Chinese.
Transform existing images or videos into new styles or scenes using prompts.
Produce 480p videos quickly or 720p clips with higher fidelity.
Integrate open models into scalable pipelines for e-commerce, advertising, and digital design.
Atlas CloudでQwen Image Modelsを使用する理由
高度なQwen Image 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Qwen Image 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。
さらにファミリーを探索
Seedance 2.0 Video 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.
Vidu Video Models
Vidu (by ShengShu Technology) is a foundational video model built on the proprietary U-ViT architecture, combining the strengths of Diffusion and Transformer models. It features superior semantic understanding and generation capabilities, producing coherent, fluid visuals that adhere to physical laws without the need for interpolation. With exceptional spatiotemporal consistency and a deep understanding of diverse cultural elements, Vidu empowers professional filmmakers and creators with a stable, efficient, and imaginative tool for video production.
MiniMax LLM Models
MiniMax is a large language model developed by MiniMax AI, focused on efficient reasoning, long-context understanding, and scalable text generation. It is designed for complex tasks such as dialogue systems, document analysis, content creation, and AI agents. With an emphasis on high performance at lower computational cost, MiniMax is well suited for enterprise applications and developer use cases where stability, efficiency, and cost control are important.
GLM LLM Models
GLM (General Language Model) is a large language model developed by ZAI (Zhipu AI) for text understanding, generation, and reasoning. It supports both Chinese and English and performs well in dialogue, content creation, translation, and code assistance. GLM is widely used in chatbots, enterprise AI systems, and developer applications due to its stable performance and versatility.
Moonshot LLM Models
Kimi is a large language model developed by Moonshot AI, designed for reasoning, coding, and long-context understanding. It performs well in complex tasks such as code generation, analysis, and intelligent assistants. With strong performance and efficient architecture, Kimi is suitable for enterprise AI applications and developer use cases. Its balance of capability and cost makes it an increasingly popular choice in the LLM ecosystem.
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.
Van Video Models
Van Model is a flagship video model family, perfectly retaining the cinematic visuals and complex dynamics of 3D VAE and Flow Matching. By leveraging proprietary compute distillation, it breaks the "quality equals cost" barrier to deliver extreme inference speeds and ultra-low costs. This makes Van the premier engine for enterprises and developers seeking high-frequency, scalable video production on a budget.
Kling 3.0 Video Models
Kling AI Video 3.0 (by Kuaishou) is a groundbreaking model designed to bridge the worlds of sound and visuals through its unique Single-pass architecture. By simultaneously generating visuals, natural voiceovers, sound effects, and ambient atmosphere, it eliminates the disjointed workflows of traditional tools. This true audio-visual integration simplifies complex post-production, providing creators with an immersive storytelling solution that significantly boosts both creative depth and output efficiency.
Veo3.1 Video Models
Veo 3.1 (by Google) is a flagship generative video model that sets a new standard for cinematic AI by deeply integrating semantic capabilities to deliver cinematic visuals, synchronized audio, and complex storytelling in a single workflow. Distinguishing itself through superior adherence to cinematic terminology and physics-based consistency, it offers professional filmmakers an unparalleled tool for transforming scripts into coherent, high-fidelity productions with precise directorial control.
Sora-2 Video Models
The Sora-2 family from OpenAI is the next-generation video + audio generation model, enabling both text-to-video and image-to-video outputs with synchronized dialogue, sound effect, improved physical realism, and fine-grained control.
Nano Banana Image Models
Nano Banana is a fast, lightweight image generation model for playful, vibrant visuals. Optimized for speed and accessibility, it creates high-quality images with smooth shapes, bold colors, and clear compositions—perfect for mascots, stickers, icons, social posts, and fun branding.
Wan2.6 Video Models
Wan 2.6 is a next-generation AI video generation model from Alibaba’s Tongyi Lab, designed for professional-quality, multimodal video creation. It combines advanced narrative understanding, multi-shot storytelling, and native audio–visual synchronization to produce smooth 1080p videos up to 15 s long from text and reference inputs. Wan 2.6 also supports character consistency and role-guided generation, enabling creators to turn scripts into cohesive scenes with seamless motion and lip syncing. Its efficiency and rich creative control make it ideal for short films, advertising, social media content, and automated video workflows.
Seedance 2.0 Video 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.
Vidu Video Models
Vidu (by ShengShu Technology) is a foundational video model built on the proprietary U-ViT architecture, combining the strengths of Diffusion and Transformer models. It features superior semantic understanding and generation capabilities, producing coherent, fluid visuals that adhere to physical laws without the need for interpolation. With exceptional spatiotemporal consistency and a deep understanding of diverse cultural elements, Vidu empowers professional filmmakers and creators with a stable, efficient, and imaginative tool for video production.
MiniMax LLM Models
MiniMax is a large language model developed by MiniMax AI, focused on efficient reasoning, long-context understanding, and scalable text generation. It is designed for complex tasks such as dialogue systems, document analysis, content creation, and AI agents. With an emphasis on high performance at lower computational cost, MiniMax is well suited for enterprise applications and developer use cases where stability, efficiency, and cost control are important.
GLM LLM Models
GLM (General Language Model) is a large language model developed by ZAI (Zhipu AI) for text understanding, generation, and reasoning. It supports both Chinese and English and performs well in dialogue, content creation, translation, and code assistance. GLM is widely used in chatbots, enterprise AI systems, and developer applications due to its stable performance and versatility.
Moonshot LLM Models
Kimi is a large language model developed by Moonshot AI, designed for reasoning, coding, and long-context understanding. It performs well in complex tasks such as code generation, analysis, and intelligent assistants. With strong performance and efficient architecture, Kimi is suitable for enterprise AI applications and developer use cases. Its balance of capability and cost makes it an increasingly popular choice in the LLM ecosystem.
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.
Van Video Models
Van Model is a flagship video model family, perfectly retaining the cinematic visuals and complex dynamics of 3D VAE and Flow Matching. By leveraging proprietary compute distillation, it breaks the "quality equals cost" barrier to deliver extreme inference speeds and ultra-low costs. This makes Van the premier engine for enterprises and developers seeking high-frequency, scalable video production on a budget.
Kling 3.0 Video Models
Kling AI Video 3.0 (by Kuaishou) is a groundbreaking model designed to bridge the worlds of sound and visuals through its unique Single-pass architecture. By simultaneously generating visuals, natural voiceovers, sound effects, and ambient atmosphere, it eliminates the disjointed workflows of traditional tools. This true audio-visual integration simplifies complex post-production, providing creators with an immersive storytelling solution that significantly boosts both creative depth and output efficiency.
Veo3.1 Video Models
Veo 3.1 (by Google) is a flagship generative video model that sets a new standard for cinematic AI by deeply integrating semantic capabilities to deliver cinematic visuals, synchronized audio, and complex storytelling in a single workflow. Distinguishing itself through superior adherence to cinematic terminology and physics-based consistency, it offers professional filmmakers an unparalleled tool for transforming scripts into coherent, high-fidelity productions with precise directorial control.
Sora-2 Video Models
The Sora-2 family from OpenAI is the next-generation video + audio generation model, enabling both text-to-video and image-to-video outputs with synchronized dialogue, sound effect, improved physical realism, and fine-grained control.
Nano Banana Image Models
Nano Banana is a fast, lightweight image generation model for playful, vibrant visuals. Optimized for speed and accessibility, it creates high-quality images with smooth shapes, bold colors, and clear compositions—perfect for mascots, stickers, icons, social posts, and fun branding.
Wan2.6 Video Models
Wan 2.6 is a next-generation AI video generation model from Alibaba’s Tongyi Lab, designed for professional-quality, multimodal video creation. It combines advanced narrative understanding, multi-shot storytelling, and native audio–visual synchronization to produce smooth 1080p videos up to 15 s long from text and reference inputs. Wan 2.6 also supports character consistency and role-guided generation, enabling creators to turn scripts into cohesive scenes with seamless motion and lip syncing. Its efficiency and rich creative control make it ideal for short films, advertising, social media content, and automated video workflows.
