Krea2_Anything2RealCharacters

🚀 Try Online / 在线一键体验

Don't have a high-end GPU? You can run and test this model directly on RunningHub without local setup:

无需本地部署显卡，点击下方链接即可在 RunningHub 上直接运行与体验该工作流： 👉 Click Here to Run on RunningHub / 在线运行链接

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💡 What's New in V3

• Complete Realism Conversion: Fixed the incomplete realism translation in V2.5, delivering significantly more authentic and natural photorealistic results.
• Enhanced Character Consistency: Achieves vastly superior character feature retention and identity consistency compared to the original V1 release.
• Released as LoRA for Maximum Flexibility: Unlike V2 and V2.5, V3 is released as a LoRA. This provides much stronger compatibility when stacking external Krea2 style or character LoRAs, opening up endless possibilities for custom aesthetics.

Special thanks to our community group members for their valuable test feedback! Unless critical issues arise, V3 will serve as the final release for the foreseeable future. For commercial inquiries, feel free to reach out. 🙏

⚡ Compute Sponsor / 算力支持致谢

Special thanks to our compute sponsor for providing the GPU acceleration required to train and fine-tune this 2048px model!

本模型的 2048 高清微调训练离不开算力赞助方的大力支持，非常感谢！欢迎扫码关注/支持算力提供方：

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Krea2_Anything2RealCharacters-V2 is a high-resolution Image-to-Image / stylization model fine-tuned on top of Krea2_Turbo. It is specifically optimized to translate any 2D, anime, or artistic input into a high-fidelity, photorealistic style with fine skin micro-textures and precise facial details.

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✨ Key Features

• Native 2048px Resolution Training: Trained on a full dataset at 2048×2048 resolution, allowing high-resolution direct outputs without additional upscalers.
• Micro-Texture Detail: High-precision rendering of skin pores, hair strands, and realistic lighting.
• LoRA Compatibility: Fully compatible with Krea2 Text-to-Image (T2I) LoRAs for adjusting photography styles, lighting, and facial genetics.
• Embedded Style & Feature Triggers: Fine-tuned support for custom film filters, lighting setups, and specific feature keywords.
• Dual-Image Identity Transfer (Experimental): Supports transferring real-world identities from a reference image onto anime/stylized poses.

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⚙️ Recommended Inference Settings

To achieve optimal outputs, use the following parameters:

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🔑 Prompting & Trigger Words

Primary Trigger

Include the main trigger phrase at the start of your positive prompt:

Primary Style Trigger: transform the image to realistic photograph

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Auxiliary Triggers & Filters

Mix and match these trained keywords to modify style, lighting, or body features:

• Demographics: caucasian, woman, man, muscular
• Gaze & Angles: looking at camera, look down, unfocused face
• Lighting & Aesthetics: backlight, Film filter, hazy, photorealistic, highly detailed
• Attire & Features: black stockings, white stockings
• Anatomical Details: pubic hair, labia

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🧪 Dual-Image Persona Conditioning (Experimental)

For transferring a real-world face onto a 2D/anime pose:

• Figure 1: Base anime image (determines pose and structure).
• Figure 2: Reference person image (determines real-world identity).

Dual-Image Trigger Phrase: with the character looking exactly like the one in Figure 2.

⚠️ Note: Dual-image feature transfer is experimental and results may vary depending on the seed and input alignment.

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🖼️ Preview & Comparison

🙏 Acknowledgments

Special thanks to the Krea2 Team for providing the incredible foundational model to the open-source community.

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📬 Links & Socials

• Online Workflow: RunningHub Demo
• GitHub: AIGC-Singularity
• Civitai: AIGC-Singularity
• Bilibili: AIGC特异点
• YouTube: AIGC-Singularity
• WeChat: aigctyd
• email:a592991299@gmail.com