Seedance 1.0
Seedance 1.0 is a multi-shot video generation model that supports both text and image inputs. It features improvements in semantic understanding and prompt following, capable of creating 1080p videos with smooth motion, rich details, and cinematic aesthetics.
Seedance 1.0 Key Technical Features
Smooth & Stable Motion
Seedance 1.0 features a wide dynamic range, enabling smooth generation of large-scale movements. From subtle expressions to active scenes, it maintains a high level of stability and physical realism.
Native Multi-Shot Storytelling
Natively supports the generation of narrative videos with multiple cohesive shots. It maintains consistency in the main subject, visual style, and atmosphere across shot transitions and temporal-spatial shifts.
Diverse Stylistic Expression
From photorealism and cyberpunk to illustration and felt texture, Seedance 1.0 can accurately interpret diverse stylistic prompts to support a wide range of creative needs.
Precise Prompt Following
Accurately parses natural language prompts, enabling stable control over multi-agent interactions, complex action sequences, and a rich variety of camera movements to translate textual concepts into videos.
Seedance 1.0 Technical Architecture & Improvements
According to the technical report published by ByteDance Seed team, Seedance 1.0 is a high-performance and inference-efficient video foundation generation model that integrates multiple technical improvements:
Multi-Source Data Curation
Multi-source data curation combined with precise and meaningful video captioning, supporting comprehensive learning across diverse scenarios
Pre-training Paradigm Optimization
Supports interleaved multimodal positional encoding, native multi-shot generation capacity, and multi-task modeling capabilities
Post-training Optimization
Utilizes fine-grained supervised fine-tuning and video-specific RLHF with multi-dimensional reward mechanisms to enhance performance
Model Acceleration Technology
Achieves 10× inference speedup through multi-stage distillation strategies and system-level optimizations
Performance Results
Seedance 1.0 Test Results
Compared with other industry models, Seedance 1.0 performs well across core dimensions including prompt adherence, motion quality, and aesthetics
- Achieved high scores in T2V tasks for prompt adherence, motion quality, and aesthetics
- Also achieved high scores in I2V tasks, while effectively maintaining consistency with the source image
- According to Artificial Analysis website data, as of June 9, 2025, Seedance 1.0 performs well in relevant evaluations
Frequently Asked Questions
Seedance 1.0 is a multi-shot video generation model that supports both text and image inputs. Key features include: improvements in semantic understanding and prompt following, generating 5-second 1080p videos in 41.4 seconds, native multi-shot storytelling capability, and 10× inference speedup through technical optimization.
Seedance 1.0 supports both text and image input methods, capable of generating 1080p resolution videos. The model can create video content with smooth motion, rich details, and cinematic aesthetics.
Multi-shot storytelling is a native feature of Seedance 1.0, supporting the generation of narrative videos with multiple cohesive shots. During shot transitions and temporal-spatial shifts, the model maintains consistency in the main subject, visual style, and atmosphere.
Seedance 1.0 supports diverse stylistic expression, from photorealism and cyberpunk to illustration and felt texture, accurately interpreting various stylistic prompts to meet different creative needs.