Krea2 Dual Reference Style Transfer Workflow

This workflow is for Krea2 dual-reference style transfer. Compared with the single-reference version, this workflow uses two reference images to guide the final result. It is suitable when one image provides the main style and another image provides additional color, texture, atmosphere, composition, or design influence.

The workflow uses Krea2 Turbo FP8 as the image model, Qwen3-VL as the Krea2 text encoder, and Qwen Image VAE for decoding. The key structure includes Krea2StyleReference, Krea2TwoStyleReferences, Krea2StyleTransfer, and Krea2TwoStyleTransfer. The workflow reads two visual references, combines their style information, and then generates a new Krea2 image from the prompt.

This is useful for creators who want more flexible control than a single reference can provide. For example, you can use one image for character-art texture and another for environment atmosphere. You can also use one image for color mood and another for linework or illustration style. The workflow is especially useful for fantasy character design, cinematic posters, concept-art testing, cover images, and controlled style mixing.

Main features:

• Krea2 dual-reference style transfer

• Two reference images for style mixing

• Krea2 Turbo FP8 model route

• Qwen3-VL Krea2 text encoder

• Qwen Image VAE decoding

• Krea2TwoStyleReferences support

• Krea2TwoStyleTransfer workflow

• 0.5K 16:9 test size preset

• 8-step fast generation

• euler_ancestral sampler

• simple scheduler

• Suitable for hybrid style tests and visual blending

Suggested workflow:

Use two reference images with clear but compatible visual directions. Avoid using two references that fight each other too much. Put the most important subject and scene requirements in the prompt, then let the two images control style, color, texture, and mood. If the result becomes visually confused, simplify the prompt or use two references with a closer artistic language.

⚙️ RunningHub Workflow

Try the workflow online right now — no installation required.
👉 Workflow: https://www.runninghub.ai/post/2073700191701655554?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/2073700191701655554?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
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