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  - 3d
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  - textures
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  license: openrail
 
 
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  ---
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  <!-- # ⚒️ MatForger -->
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  ```
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- ## 📉 Bias and Limitations
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- The model was trained on a variety of synthetic and real data from the [MatSynth](https://huggingface.co/datasets/gvecchio/MatSynth) dataset.
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- However, it might fail to generate complex materials or patterns that differ significantly from the training data distribution.
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- Additionally, the model can be conditioned using either images or text, however it might give unexpected results when promped with text as it was mainly trained to do img2material.
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- **Note:** MatForge is a home-trained model, with limited resources. We will try to keepe it regularly updated and improve its performances. \
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- We welcome contributions, feedback, and suggestions to enhance its capabilities and address its limitations. Please be patient as we work towards making MatForger an even more powerful tool for the creative community.
 
 
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  ## 💡 Upcoming features ideas
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  **Feedback**: User feedback is invaluable for identifying areas for improvement. Whether it's through reporting issues or sharing your experiences, your insights help us make MatForger better.
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  ## Terms of Use:
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  We hope that the release of this model will make community-based research efforts more accessible. This model is governed by a Openrail License and is intended for research purposes.
 
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  - 3d
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  - textures
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  license: openrail
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+ inference: false
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+ pipeline_tag: image-to-3d
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  ---
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  <!-- # ⚒️ MatForger -->
 
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  ```
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+ ## ⚠️ Bias and Limitations
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+ **Quality**: The model was trained on a variety of synthetic and real data from the [MatSynth](https://huggingface.co/datasets/gvecchio/MatSynth) dataset.
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+ However, it might fail to generate complex materials or patterns that differ significantly from the training data distribution. If the results don't meet your expectations be patient and keep trying.
 
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+ **Resolution**: MatForger can generate high resolution materials via latent patching. The model, however, was trained at a **256x256** resolution and artifacts or inconsistencies might appear at higher resolution.
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+
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+ **❗Note:** MatForge is a home-trained model, with limited resources. We will try to update it regularly and improve its performances. \
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+ We welcome contributions, feedback, and suggestions to enhance its capabilities and address its limitations. Please be patient as we work towards making MatForger an even more powerful tool.
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  ## 💡 Upcoming features ideas
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  **Feedback**: User feedback is invaluable for identifying areas for improvement. Whether it's through reporting issues or sharing your experiences, your insights help us make MatForger better.
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+ **Training**: If you have spare compute resources and wish to contribute to the training of MatForger reach out to giuseppevecchio@hotmail.com.
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+
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  ## Terms of Use:
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  We hope that the release of this model will make community-based research efforts more accessible. This model is governed by a Openrail License and is intended for research purposes.