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README.md
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@@ -61,7 +61,7 @@ python3 scripts/sample.py "一张瓢虫的照片，微距，变焦，高质量
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## 📜 License&Citation
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### License
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Kolors are fully open-sourced for academic research. For commercial use, please fill out this [questionnaire](https://github.com/Kwai-Kolors/Kolors/blob/
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We open-source Kolors to promote the development of large text-to-image models in collaboration with the open-source community. The code of this project is open-sourced under the Apache-2.0 license. We sincerely urge all developers and users to strictly adhere to the [open-source license](MODEL_LICENSE), avoiding the use of the open-source model, code, and its derivatives for any purposes that may harm the country and society or for any services not evaluated and registered for safety. Note that despite our best efforts to ensure the compliance, accuracy, and safety of the data during training, due to the diversity and combinability of generated content and the probabilistic randomness affecting the model, we cannot guarantee the accuracy and safety of the output content, and the model is susceptible to misleading. This project does not assume any legal responsibility for any data security issues, public opinion risks, or risks and liabilities arising from the model being misled, abused, misused, or improperly utilized due to the use of the open-source model and code.
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## 📜 License&Citation
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### License
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Kolors are fully open-sourced for academic research. For commercial use, please fill out this [questionnaire](https://github.com/Kwai-Kolors/Kolors/blob/master/imgs/可图KOLORS模型商业授权申请书.docx) and sent it to kwai-kolors@kuaishou.com for registration.
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We open-source Kolors to promote the development of large text-to-image models in collaboration with the open-source community. The code of this project is open-sourced under the Apache-2.0 license. We sincerely urge all developers and users to strictly adhere to the [open-source license](MODEL_LICENSE), avoiding the use of the open-source model, code, and its derivatives for any purposes that may harm the country and society or for any services not evaluated and registered for safety. Note that despite our best efforts to ensure the compliance, accuracy, and safety of the data during training, due to the diversity and combinability of generated content and the probabilistic randomness affecting the model, we cannot guarantee the accuracy and safety of the output content, and the model is susceptible to misleading. This project does not assume any legal responsibility for any data security issues, public opinion risks, or risks and liabilities arising from the model being misled, abused, misused, or improperly utilized due to the use of the open-source model and code.
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