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oimi.ai GPT-Image 2 + Seedance 2.0 Workflow

oimi.ai GPT-Image 2 + Seedance 2.0 Workflow is a cutting-edge Storyboard-to-Video Workflow that combines the powerful visual design control of GPT-Image 2, an image generation AI, with the camera control capabilities of Seedance 2.0, a multimodal video generation model. To overcome the limitations of previous attempts to generate complex and dynamic videos with just text prompt input, it incorporates a stage that defines the visual layout and a stage that implements physical camera motion.

The oimi.ai GPT-Image 2 + Seedance 2.0 Workflow is a state-of-the-art storyboard-to-video workflow that combines the powerful visual design control of GPT-Image 2, an image generation AI, with the camera control capabilities of Seedance 2.0, a multimodal video generation model. To overcome the limitations of previous attempts to generate complex and dynamic videos with just text prompts, it adopts an architectural approach that fundamentally separates the stages of defining visual layout and implementing physical camera motion. Just as GPT pre-structures the flow of words for contextual consistency when generating text, this workflow operates by first establishing the composition and character style in a storyboard format before constructing each frame of the video. This allows creators to obtain consistent and stable final animation footage based on meticulously designed frames on a fixed layout.

Conventional text-to-video direct generation methods have inherent limitations, such as continuity issues where characters' faces change awkwardly with each new frame generated, or illogical and erratic camera movements. The oimi.ai workflow addresses these issues by separating two models, one dedicated to detailing visual elements and the other to camera movement. Most notably, it establishes and applies the principle of "Motivated Continuous Camera Movement," inspired by the directing philosophy of Steven Spielberg, which is its most significant differentiator. Instead of simply instructing camera movements, it pre-implements a plausible transition logic based on the action within the scene in the storyboard as annotations. For example, when a carriage passes across the screen, the camera naturally follows its movement, or when a flag waving in the wind disappears from the screen, the camera reveals the object hidden behind it, ensuring that Seedance 2.0 perfectly executes the intended direction.

This technique demonstrates optimal efficiency in producing fashion brand advertising videos where maintaining the consistency of virtual characters is essential, or in directing webtoons and drama series that require precise composition control. For example, when producing commercial short-form videos such as a "Fashion Outfit Scan," the detailed outfit information of the model and character sheet information, such as 35mm camera lens settings, are first passed to GPT-Image 2 in the form of micro prompts to perfectly establish a 7-shot storyboard. Subsequently, by combining this asset file and camera technique information with Seedance 2.0, high-quality magazine-level outfit scan clips can be extracted in a single take without the need for additional filming crews or location scouting. Furthermore, even in large-scale visual productions such as a complex tavern sequence with a large crowd, carriages, and a medieval street setting, it demonstrates a dramatic improvement in success rate, completing the process in a single attempt after five or more failed attempts based on single-image generation using a 12-channel timeline storyboard.

💻 System Requirements

🧠RAM

N/A (SaaS 클라우드 처리 기준) / 로컬 Wan 2.2 S2V-14B / Kling 3.0 구동 시 16GB+ (RTX 4080 이상 권장)

💾Storage

생성 비디오 에셋 및 스토리보드 시트 보관을 위한 수십 GB 이상 권장 (로컬 모델 weights 구동 시 100GB+)

Installation

4-1. Quick Start

oimi.ai 웹 캔버스 접속 후 GPT-Image 2 및 Seedance 2.0 가용 워크플로우 활성화 oimi.ai API 연동이 필요할 경우 oimi-workflow 패키지 로드 (가상 시나리오)

pip install oimi-workflow

4-2. 상세 설치

1. API 인증 설정 및 초기화

export OIMI_API_KEY="your_api_key_here"

2. GPT-Image 2 및 Seedance 2.0 워크플로우 호출 예제 실행

python -c " import oimi workflow = oimi.Workflow(model_v='seedance-2.0', storyboard_v='gpt-image-2') result = workflow.run( prompt_visual='London Street Outfit Scan...', prompt_motion='gimbal tracking 15s...' ) print('Generated video URL:', result.url) "

FAQ

What is oimi.ai GPT-Image 2 + Seedance 2.0 Workflow?

The oimi.ai GPT-Image 2 + Seedance 2.0 Workflow is a state-of-the-art storyboard-to-video workflow that combines the powerful visual design control of GPT-Image 2, an image generation AI, with the camera control capabilities of Seedance 2.0, a multimodal video generation model. To overcome the limitations of previous attempts to generate complex and dynamic videos with just text prompts, it adopts an architectural approach that fundamentally separates the stages of defining visual layout and implementing physical camera motion. Just as GPT pre-structures the flow of words for contextual consistency when generating text, this workflow operates by first establishing the composition and character style in a storyboard format before constructing each frame of the video. This allows creators to obtain consistent and stable final animation footage based on meticulously designed frames on a fixed layout. Conventional text-to-video direct generation methods have inherent limitations, such as continuity issues where characters' faces change awkwardly with each new frame generated, or illogical and erratic camera movements. The oimi.ai workflow addresses these issues by separating two models, one dedicated to detailing visual elements and the other to camera movement. Most notably, it establishes and applies the principle of "Motivated Continuous Camera Movement," inspired by the directing philosophy of Steven Spielberg, which is its most significant differentiator. Instead of simply instructing camera movements, it pre-implements a plausible transition logic based on the action within the scene in the storyboard as annotations. For example, when a carriage passes across the screen, the camera naturally follows its movement, or when a flag waving in the wind disappears from the screen, the camera reveals the object hidden behind it, ensuring that Seedance 2.0 perfectly executes the intended direction. This technique demonstrates optimal efficiency in producing fashion brand advertising videos where maintaining the consistency of virtual characters is essential, or in directing webtoons and drama series that require precise composition control. For example, when producing commercial short-form videos such as a "Fashion Outfit Scan," the detailed outfit information of the model and character sheet information, such as 35mm camera lens settings, are first passed to GPT-Image 2 in the form of micro prompts to perfectly establish a 7-shot storyboard. Subsequently, by combining this asset file and camera technique information with Seedance 2.0, high-quality magazine-level outfit scan clips can be extracted in a single take without the need for additional filming crews or location scouting. Furthermore, even in large-scale visual productions such as a complex tavern sequence with a large crowd, carriages, and a medieval street setting, it demonstrates a dramatic improvement in success rate, completing the process in a single attempt after five or more failed attempts based on single-image generation using a 12-channel timeline storyboard.

When should I use oimi.ai GPT-Image 2 + Seedance 2.0 Workflow?

oimi.ai GPT-Image 2 + Seedance 2.0 Workflow is a cutting-edge Storyboard-to-Video Workflow that combines the powerful visual design control of GPT-Image 2, an image generation AI, with the camera control capabilities of Seedance 2.0, a multimodal video generation model. To overcome the limitations of previous attempts to generate complex and dynamic videos with just text prompt input, it incorporates a stage that defines the visual layout and a stage that implements physical camera motion.

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