According to the Bytedance Seed official Weibo, the Bytedance Seed team officially released a new generation of image creation model Seedream 4.0. According to reports, Seedream 4.0 uses the same architecture to implement graphical and general editing capabilities, integrating common sense and reasoning capabilities. Compared with the previous generation models Seedream 3.0 and SeedEdit 3.0, Seedream 4.0 has achieved significant breakthroughs in multi-modal effects, speed and usability:
Multi-modal gameplay expansion: flexibly supports the combined input of text and images, allowing creative modes such as text-based pictures, picture-based pictures, image editing, multi-picture editing, and group picture generation. The gameplay is creative and diverse.
Improved stylized aesthetics: Supports a high degree of freedom in artistic style migration, from baroque to cyberpunk, the styles are ever-changing, and can be combined to create new styles with outstanding aesthetics.
Enhanced logical understanding: Combined with world knowledge, it improves multi-modal input understanding. It can "draw" and "think" first, showing reasoning and generation capabilities in tasks involving physical and time constraints, solving puzzles and crosswords, and continuing to write comics.
Adaptive and 4K generation: The best-proportioned image can be generated according to instructions or reference images, and also supports user-defined sizes. The maximum resolution extends from 2K to 4K Ultra HD.
Inference speed jump: Through a new and efficient architecture design and extreme distillation acceleration, the inference speed of DiT's generated graphs is more than 10 times higher than that of Seedream 3.0.
According to the official Weibo, Seedream 4.0 is not just an image generation model, but also a complete multi-modal creative engine. Based on the latest capabilities of Seedream 4.0, eight basic gameplay methods of the model are proposed. In addition to general image generation and editing, the potential of the model in derivative creation, inference generation, and professional applications is also explored.