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MaterialShift_Klein

3D Material Transfer LoRA based on Flux.2 Klein

🧠 What is MaterialShift_Klein?

MaterialShift_Klein is a LoRA trained on Flux.2 Klein, designed for true 3D-aware material transfer, not just surface-level texture replacement.

Most community workflows only swap materials at a visual or texture level, often breaking fabric volume, folds, or lighting logic. This model focuses on transferring material behavior, including thickness, softness, reflectance, and how the material interacts with structure and light.

The training dataset is heavily clothing-material oriented, which makes it especially strong for garments with complex 3D forms. file:media:Photo:15925:IMG_1769848549_16041:IMG_16041 file:media:Photo:15922:IMG_1769848530_16038:IMG_16038 file:media:Photo:15924:IMG_1769848541_16040:IMG_16040 file:media:Photo:15923:IMG_1769848536_16039:IMG_16039 ✨ Key Features

3D-aware material transfer Preserves folds, thickness, and structural response of fabrics

Optimized for clothing materials Jackets, coats, pants, and layered garments perform best

Structure-preserving edits Keeps original silhouette, seams, proportions, and pose intact

Cross-category capable Can also be applied to other objects such as furniture or soft goods

🔑 Trigger Prompt Change the material of the 【target category】 in Image 1 to match the material in Image 2.

Examples of target category: jacket / coat / pants / sofa / chair

📌 Notes

This model is trained primarily on clothing materials, so results on garments are more stable and realistic.

It is not limited to clothing — other material-driven categories may also benefit from the transfer behavior.

Best results are achieved when Image 2 clearly shows the target material under readable lighting.

📜 License

Please follow the license of the base model (Flux.2 Klein).

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