Krea2 JSON Multi-Panel Storyboard Workflow

This workflow is for Krea2 JSON multi-panel storyboard generation. It is designed to create a coherent 2x2 cinematic storyboard grid from structured JSON-style prompting. Instead of writing a loose prompt, the workflow uses a more organized instruction format to define the canvas, panel layout, continuity rules, character consistency, camera direction, and negative requirements.

The workflow uses Krea2 Turbo BF16, Qwen3-VL as the Krea2 text encoder, Qwen Image VAE, Krea2T Enhancer, and ClownsharKSampler_Beta with beta57 sampling. The resolution is set for 16:9 panorama output, making the final result suitable as one widescreen image divided into four storyboard panels.

The core idea is continuity. The prompt structure tells Krea2 to generate four frames from the same cinematic scene, keeping the main character, outfit, face, color grading, environment, and action direction consistent. This makes the workflow useful for concept artists, video creators, AI storyboard testing, short-film planning, and social-media posts where one image needs to show a mini sequence.

Main features:

• Krea2 JSON-style storyboard workflow

• 2x2 multi-panel grid generation

• Structured prompt control

• Character consistency instructions

• Cinematic continuity across panels

• Krea2 Turbo BF16 model route

• Qwen3-VL Krea2 text encoder

• Qwen Image VAE decoding

• Krea2T Enhancer support

• ClownsharKSampler_Beta route

• beta57 sampling

• 16:9 panorama output

• No captions, no text, no panel numbers

Suggested workflow:

Use structured prompts instead of loose text. Define the global style first, then define each panel separately. Keep one main character, one scene universe, and one continuous action line. If the grid breaks or adds extra panels, strengthen the layout rules and negative requirements. This workflow is best for storyboard covers, cinematic sequence tests, and AI video planning.

⚙️ RunningHub Workflow

Try the workflow online right now — no installation required.
👉 Workflow: https://www.runninghub.ai/post/2073304573829275649?inviteCode=rh-v1111

If the results meet your expectations, you can later deploy it locally for customization.

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📺 Bilibili Updates (Mainland China & Asia-Pacific)

If you’re in the Asia-Pacific region, you can watch the video below to see the workflow demonstration and creative breakdown.
📺 Bilibili Video: https://www.bilibili.com/video/BV1U1TS6gEVe/

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⚙️打开下方链接即可在线体验，无需安装。
👉 工作流： https://www.runninghub.ai/post/2073304573829275649?inviteCode=rh-v1111
如果觉得效果理想，你也可以在本地进行自定义部署。

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📺 Bilibili 更新（中国大陆及南亚太地区）

如果你在中国大陆或南亚太地区，可以通过下方视频查看该工作流的实测效果与构思讲解。
📺 B站视频： https://www.bilibili.com/video/BV1U1TS6gEVe/

我会在 夸克网盘 持续更新模型资源：
👉 https://pan.quark.cn/s/20c6f6f8d87b
这些资源主要面向本地用户，方便进行创作与学习。