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README.md
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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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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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**
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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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**❗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 [email protected].
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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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