A significant breakthrough has occurred in the field of artificial intelligence image creation with the official launch of the Doubao Image Creation Model Seedream 4.0 by Volcano Engine. This fourth-generation model has achieved groundbreaking advancements in core functions such as theme consistency, multi-image collaborative creation, and 4K ultra-high-definition output, with a generation efficiency reaching responses in seconds. It has become another image generation tool that has drawn industry attention following Google’s nano banana model.
During the practical testing phase, the model demonstrated astonishing creative capabilities. When given the complex instruction to “generate a 1/7 scale figure scene,” the system not only accurately restored details such as the round transparent acrylic base, ZBrush modeling interface, and Bandai packaging box, but also completed the image generation in just 0.8 seconds. Testers specifically noted that the model’s understanding of Chinese text significantly outperformed similar products. When generating a poster themed around the “Ode to the Goddess of Luo,” the presentation of the calligraphic font “Like a startled swan, graceful like a wandering dragon” achieved a professional design level.
Multi-image collaborative creation functionality became the highlight. By uploading three different style reference images, the system can automatically blend cubist elements with classical aesthetic features, completing a style transition from modern fashion to artistic abstraction while maintaining consistency in facial features. Even more impressive is its 4K direct output capability; in a still life photography test with pomegranates, the model accurately reproduced the texture of dark velvet, with ruby-like fruit grains presenting a jewelry-grade visual effect under contrasting light and shadow.
On the technical architecture front, the research and development team adopted the DiT architecture to deeply integrate text generation and image editing functions. Through a joint training framework, the model achieves collaborative optimization across two dimensions: adherence to instructions and aesthetic expression. Experimental data shows that this architecture increases training efficiency by 12 times, with 2K image generation speed breaking into seconds and 4K output stability reaching 98.7%. The specially introduced fine-tuned SeedVLM model equips the system with the ability to understand complex logical instructions, performing exceptionally well in scenarios requiring physical common sense judgment.
In continuous creation tests, the model successfully completed the generation task of 12 frames of film storyboards. The series of images themed around a detective treasure hunt not only maintained complete consistency in character facial features but also fully presented the narrative of discovering clues, encountering crises, and ultimately finding treasure through cinematic language. Testers particularly emphasized that the system’s control over light and shadow variations is nearing professional photography levels, achieving a lifelike degree in rendering skin texture and fabric reflection effects in candlelit atmosphere tests.返回搜狐，查看更多
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