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Seedream 4 Text-to-Image
The model is designed for scalability, handling batch generation and multimodal inputs efficiently.
Seedream 4 enhances productivity by delivering photorealistic outputs with strong adherence to user intent and consistent visual fidelity.
Seedream 4 is ByteDance’s advanced AI model that unifies image generation within a single powerful platform. It delivers photorealistic images at 2K resolution in about 1.8 seconds and supports outputs up to 4K resolution, enabling rapid, high-quality content creation. The model accepts up to six reference images and can generate up to nine consistent images simultaneously, ideal for batch campaigns and storyboard workflows. It features natural language-driven editing, allowing users to add or remove elements easily without complex inputs, while maintaining strong character consistency. Seedream 4 supports bilingual prompts in Chinese and English, making it accessible for global and localized creative workflows.
Seedream 4 is built on ByteDance’s next-generation hybrid transformer architecture featuring a dynamic Mixture of Experts (MoE) design. This advanced architecture dynamically allocates computation at the token level, enabling ultra-low latency and high-quality image generation. The MoE layers provide efficient scaling, delivering 2K resolution outputs in roughly 1.8 seconds and supporting up to 4K ultra-high-resolution outputs.
This unified model supports text-to-image generation and batch creation within a single multimodal framework. It handles complex inputs, including natural language prompts, up to six reference images, and video frames, enabling rich multimodal reasoning and synthesis with strong semantic and prompt fidelity.
vs Gemini 2.5 Flash Image: Seedream 4 demonstrates superior understanding of user intent, producing more accurate and contextually relevant edits. It also outperforms Gemini 2.5 in maintaining character consistency and complex scene detail.
vs Seedream 3.0: Seedream 4 achieves about 35% faster inference speeds and supports higher output resolutions up to 4K. It also unifies generation and editing capabilities into one model, unlike Seedream 3.50 which handles these separately.
vs Flux Kontext: Seedream 4 provides significantly better prompt adherence, image alignment, and text rendering quality. Flux Kontext often produces inconsistent compositions and less polished images.
vs Qwen-Image: Seedream 4 handles complex scenes and multi-object prompts with better accuracy and coherence. Qwen-Image struggles with complex logic and retrieves weaker prompt alignment.
Seedream 4 is ByteDance’s advanced AI model that unifies image generation within a single powerful platform. It delivers photorealistic images at 2K resolution in about 1.8 seconds and supports outputs up to 4K resolution, enabling rapid, high-quality content creation. The model accepts up to six reference images and can generate up to nine consistent images simultaneously, ideal for batch campaigns and storyboard workflows. It features natural language-driven editing, allowing users to add or remove elements easily without complex inputs, while maintaining strong character consistency. Seedream 4 supports bilingual prompts in Chinese and English, making it accessible for global and localized creative workflows.
Seedream 4 is built on ByteDance’s next-generation hybrid transformer architecture featuring a dynamic Mixture of Experts (MoE) design. This advanced architecture dynamically allocates computation at the token level, enabling ultra-low latency and high-quality image generation. The MoE layers provide efficient scaling, delivering 2K resolution outputs in roughly 1.8 seconds and supporting up to 4K ultra-high-resolution outputs.
This unified model supports text-to-image generation and batch creation within a single multimodal framework. It handles complex inputs, including natural language prompts, up to six reference images, and video frames, enabling rich multimodal reasoning and synthesis with strong semantic and prompt fidelity.
vs Gemini 2.5 Flash Image: Seedream 4 demonstrates superior understanding of user intent, producing more accurate and contextually relevant edits. It also outperforms Gemini 2.5 in maintaining character consistency and complex scene detail.
vs Seedream 3.0: Seedream 4 achieves about 35% faster inference speeds and supports higher output resolutions up to 4K. It also unifies generation and editing capabilities into one model, unlike Seedream 3.50 which handles these separately.
vs Flux Kontext: Seedream 4 provides significantly better prompt adherence, image alignment, and text rendering quality. Flux Kontext often produces inconsistent compositions and less polished images.
vs Qwen-Image: Seedream 4 handles complex scenes and multi-object prompts with better accuracy and coherence. Qwen-Image struggles with complex logic and retrieves weaker prompt alignment.
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