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  <!-- Provide a quick summary of what the model is/does. -->
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- This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
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- ## Model Details
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- ### Model Description
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- <!-- Provide a longer summary of what this model is. -->
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- - **Developed by:** [More Information Needed]
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- - **Funded by [optional]:** [More Information Needed]
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- - **Shared by [optional]:** [More Information Needed]
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- - **Model type:** [More Information Needed]
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- - **Language(s) (NLP):** [More Information Needed]
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- - **License:** [More Information Needed]
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- - **Finetuned from model [optional]:** [More Information Needed]
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- ### Model Sources [optional]
 
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- <!-- Provide the basic links for the model. -->
 
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- - **Repository:** [More Information Needed]
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- - **Paper [optional]:** [More Information Needed]
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- - **Demo [optional]:** [More Information Needed]
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- ## Uses
 
 
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- <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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- ### Direct Use
 
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- <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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- [More Information Needed]
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- ### Downstream Use [optional]
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- <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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- [More Information Needed]
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- ### Out-of-Scope Use
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- <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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- [More Information Needed]
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- ## Bias, Risks, and Limitations
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- <!-- This section is meant to convey both technical and sociotechnical limitations. -->
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- [More Information Needed]
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- ### Recommendations
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- <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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- Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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- ## How to Get Started with the Model
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- Use the code below to get started with the model.
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- [More Information Needed]
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- ## Training Details
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- ### Training Data
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- <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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- [More Information Needed]
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- ### Training Procedure
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- <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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- #### Preprocessing [optional]
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- [More Information Needed]
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- #### Training Hyperparameters
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- - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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- #### Speeds, Sizes, Times [optional]
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- <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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- [More Information Needed]
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- ## Evaluation
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- <!-- This section describes the evaluation protocols and provides the results. -->
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- ### Testing Data, Factors & Metrics
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- #### Testing Data
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- <!-- This should link to a Dataset Card if possible. -->
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- [More Information Needed]
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- #### Factors
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- <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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- [More Information Needed]
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- #### Metrics
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- <!-- These are the evaluation metrics being used, ideally with a description of why. -->
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- ### Results
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- #### Summary
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- ## Model Examination [optional]
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- <!-- Relevant interpretability work for the model goes here -->
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- [More Information Needed]
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- ## Environmental Impact
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- <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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- Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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- - **Hardware Type:** [More Information Needed]
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- - **Hours used:** [More Information Needed]
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- - **Cloud Provider:** [More Information Needed]
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- - **Compute Region:** [More Information Needed]
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- - **Carbon Emitted:** [More Information Needed]
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- ## Technical Specifications [optional]
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- ### Model Architecture and Objective
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- ### Compute Infrastructure
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- #### Hardware
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- #### Software
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- ## Citation [optional]
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- <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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- **BibTeX:**
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- **APA:**
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- ## Glossary [optional]
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- <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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- ## More Information [optional]
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- ## Model Card Authors [optional]
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- ## Model Card Contact
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- [More Information Needed]
 
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  <!-- Provide a quick summary of what the model is/does. -->
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+ MaterialShift_Klein
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+ 3D Material Transfer LoRA based on Flux.2 Klein
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+ 🧠 What is MaterialShift_Klein?
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+ MaterialShift_Klein is a LoRA trained on Flux.2 Klein, designed for true 3D-aware material transfer, not just surface-level texture replacement.
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+ Most community workflows only swap materials at a visual or texture level, often breaking fabric volume, folds, or lighting logic.
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+ This model focuses on transferring material behavior, including thickness, softness, reflectance, and how the material interacts with structure and light.
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+ The training dataset is heavily clothing-material oriented, which makes it especially strong for garments with complex 3D forms.
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+ ![file:media:Photo:15925:IMG_1769848549_16041:IMG_16041](https://cdn-uploads.huggingface.co/production/uploads/685dfc28fe9f1a859ea9cc47/RDTlRdV6oXP5u70kw9xRT.png)
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+ ![file:media:Photo:15922:IMG_1769848530_16038:IMG_16038](https://cdn-uploads.huggingface.co/production/uploads/685dfc28fe9f1a859ea9cc47/PlFAtmjBsXtEm6KboGqWt.png)
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+ ![file:media:Photo:15924:IMG_1769848541_16040:IMG_16040](https://cdn-uploads.huggingface.co/production/uploads/685dfc28fe9f1a859ea9cc47/D9LnCAx3XFbvb1w-GjSA4.png)
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+ ![file:media:Photo:15923:IMG_1769848536_16039:IMG_16039](https://cdn-uploads.huggingface.co/production/uploads/685dfc28fe9f1a859ea9cc47/uyn34Lq8Dl_hLbC7_uk9x.png)
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+ ✨ Key Features
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+ 3D-aware material transfer
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+ Preserves folds, thickness, and structural response of fabrics
 
 
 
 
 
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+ Optimized for clothing materials
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+ Jackets, coats, pants, and layered garments perform best
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+ Structure-preserving edits
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+ Keeps original silhouette, seams, proportions, and pose intact
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+ Cross-category capable
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+ Can also be applied to other objects such as furniture or soft goods
 
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+ 🔑 Trigger Prompt
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+ Change the material of the 【target category】 in Image 1
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+ to match the material in Image 2.
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+ Examples of target category:
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+ jacket / coat / pants / sofa / chair
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+ 📌 Notes
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+ This model is trained primarily on clothing materials, so results on garments are more stable and realistic.
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+ It is not limited to clothing — other material-driven categories may also benefit from the transfer behavior.
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+ Best results are achieved when Image 2 clearly shows the target material under readable lighting.
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+ 📜 License
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+ Please follow the license of the base model (Flux.2 Klein).