ivaxsirc

Results 18 comments of ivaxsirc

Train the module of face restoration, awesome ![carabo](https://github.com/Fanghua-Yu/SUPIR/assets/48472866/3df740d1-0d01-44ab-9f86-40092b978469) ![carabo](https://github.com/Fanghua-Yu/SUPIR/assets/48472866/113b2f4d-e159-4067-80e0-093407405cea)

I tried with extreme conditions This is original image ![Imagen de WhatsApp 2024-03-03 a las 19 34 49_1de737cd](https://github.com/Fanghua-Yu/SUPIR/assets/48472866/7e73e744-a029-4243-95f5-4e369994fd66) This is Jennifer love Hewitt in a serie, if you put the...

> supir performs well most of the time, but for certain textures it's terrible ![brt000645900504](https://private-user-images.githubusercontent.com/125941057/310049829-2e7b9332-6cd0-4f7a-a19e-e46e62ed4a23.jpg?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJnaXRodWIuY29tIiwiYXVkIjoicmF3LmdpdGh1YnVzZXJjb250ZW50LmNvbSIsImtleSI6ImtleTUiLCJleHAiOjE3MDk2MzUwNzUsIm5iZiI6MTcwOTYzNDc3NSwicGF0aCI6Ii8xMjU5NDEwNTcvMzEwMDQ5ODI5LTJlN2I5MzMyLTZjZDAtNGY3YS1hMTllLWU0NmU2MmVkNGEyMy5qcGc_WC1BbXotQWxnb3JpdGhtPUFXUzQtSE1BQy1TSEEyNTYmWC1BbXotQ3JlZGVudGlhbD1BS0lBVkNPRFlMU0E1M1BRSzRaQSUyRjIwMjQwMzA1JTJGdXMtZWFzdC0xJTJGczMlMkZhd3M0X3JlcXVlc3QmWC1BbXotRGF0ZT0yMDI0MDMwNVQxMDMyNTVaJlgtQW16LUV4cGlyZXM9MzAwJlgtQW16LVNpZ25hdHVyZT1jMTM4NzdkOTVkYWU0NjE0OWU5Y2ViNTllMmVkMzQyMjE1ZmQ1NDg1MzQ3MGYwOWYwM2JkMzhmMDFjZjUwMGUxJlgtQW16LVNpZ25lZEhlYWRlcnM9aG9zdCZhY3Rvcl9pZD0wJmtleV9pZD0wJnJlcG9faWQ9MCJ9.JYl1ayzTlSY0IYQ2j-oA4X57MN7vXxY7gfx_SwQ2kYU) ![brt000645900504_upscaled](https://private-user-images.githubusercontent.com/125941057/310049745-f3eecb49-42d5-4c6c-b983-2e343d1a7e6f.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJnaXRodWIuY29tIiwiYXVkIjoicmF3LmdpdGh1YnVzZXJjb250ZW50LmNvbSIsImtleSI6ImtleTUiLCJleHAiOjE3MDk2MzUwNzUsIm5iZiI6MTcwOTYzNDc3NSwicGF0aCI6Ii8xMjU5NDEwNTcvMzEwMDQ5NzQ1LWYzZWVjYjQ5LTQyZDUtNGM2Yy1iOTgzLTJlMzQzZDFhN2U2Zi5wbmc_WC1BbXotQWxnb3JpdGhtPUFXUzQtSE1BQy1TSEEyNTYmWC1BbXotQ3JlZGVudGlhbD1BS0lBVkNPRFlMU0E1M1BRSzRaQSUyRjIwMjQwMzA1JTJGdXMtZWFzdC0xJTJGczMlMkZhd3M0X3JlcXVlc3QmWC1BbXotRGF0ZT0yMDI0MDMwNVQxMDMyNTVaJlgtQW16LUV4cGlyZXM9MzAwJlgtQW16LVNpZ25hdHVyZT0zZjFkODQyOTkzYzhlZDEzNWM5YmRjNmIwYzY3Y2RhNzhkODUzMzhmZDkzNWUyM2JlOWFlZmQyNDUwYjM1NGUzJlgtQW16LVNpZ25lZEhlYWRlcnM9aG9zdCZhY3Rvcl9pZD0wJmtleV9pZD0wJnJlcG9faWQ9MCJ9.7K7reS3EfLNWVev3fvVmlVQgBYJKmEEjpwFug2JGH4M) ![18496_353603_814904](https://private-user-images.githubusercontent.com/125941057/310051860-5e518673-8f5f-4407-a86c-0a4cd06b8808.jpg?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJnaXRodWIuY29tIiwiYXVkIjoicmF3LmdpdGh1YnVzZXJjb250ZW50LmNvbSIsImtleSI6ImtleTUiLCJleHAiOjE3MDk2MzUwNzUsIm5iZiI6MTcwOTYzNDc3NSwicGF0aCI6Ii8xMjU5NDEwNTcvMzEwMDUxODYwLTVlNTE4NjczLThmNWYtNDQwNy1hODZjLTBhNGNkMDZiODgwOC5qcGc_WC1BbXotQWxnb3JpdGhtPUFXUzQtSE1BQy1TSEEyNTYmWC1BbXotQ3JlZGVudGlhbD1BS0lBVkNPRFlMU0E1M1BRSzRaQSUyRjIwMjQwMzA1JTJGdXMtZWFzdC0xJTJGczMlMkZhd3M0X3JlcXVlc3QmWC1BbXotRGF0ZT0yMDI0MDMwNVQxMDMyNTVaJlgtQW16LUV4cGlyZXM9MzAwJlgtQW16LVNpZ25hdHVyZT03Mzc4NGU1MTA0ZmZlZDk1N2UyMDY1ZjFiMWVkMzQ5Yzg1MzQyYzhkZjhmZmUwYjFmZGFkYWZmOTkwNGY1Y2I1JlgtQW16LVNpZ25lZEhlYWRlcnM9aG9zdCZhY3Rvcl9pZD0wJmtleV9pZD0wJnJlcG9faWQ9MCJ9.YoPw3UONRSMfh0Z-MSSyA-2TaWX8PfDlkMZv_kkWlbU) ![18496_353603_814904_upscaled](https://private-user-images.githubusercontent.com/125941057/310051884-db9cb90e-ce08-4e03-813a-3f678780ec5c.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJnaXRodWIuY29tIiwiYXVkIjoicmF3LmdpdGh1YnVzZXJjb250ZW50LmNvbSIsImtleSI6ImtleTUiLCJleHAiOjE3MDk2MzUwNzUsIm5iZiI6MTcwOTYzNDc3NSwicGF0aCI6Ii8xMjU5NDEwNTcvMzEwMDUxODg0LWRiOWNiOTBlLWNlMDgtNGUwMy04MTNhLTNmNjc4NzgwZWM1Yy5wbmc_WC1BbXotQWxnb3JpdGhtPUFXUzQtSE1BQy1TSEEyNTYmWC1BbXotQ3JlZGVudGlhbD1BS0lBVkNPRFlMU0E1M1BRSzRaQSUyRjIwMjQwMzA1JTJGdXMtZWFzdC0xJTJGczMlMkZhd3M0X3JlcXVlc3QmWC1BbXotRGF0ZT0yMDI0MDMwNVQxMDMyNTVaJlgtQW16LUV4cGlyZXM9MzAwJlgtQW16LVNpZ25hdHVyZT0xNGIxOWExYWMwYjUxODk2ZmMxYTI0MjY5YjAyOTZlZWI3MTU1YTllMmJhOWEwZTk5YTJkMzBjMTVhZGMxZDVlJlgtQW16LVNpZ25lZEhlYWRlcnM9aG9zdCZhY3Rvcl9pZD0wJmtleV9pZD0wJnJlcG9faWQ9MCJ9.hBxsRus_v463TOzf68JX958YiGLjx1iYDhb5WKqabcQ) ![18496_353581_199031](https://private-user-images.githubusercontent.com/125941057/310050433-5fe1f426-c66f-4e47-9cb7-f4010d6a33a1.jpg?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJnaXRodWIuY29tIiwiYXVkIjoicmF3LmdpdGh1YnVzZXJjb250ZW50LmNvbSIsImtleSI6ImtleTUiLCJleHAiOjE3MDk2MzUwNzUsIm5iZiI6MTcwOTYzNDc3NSwicGF0aCI6Ii8xMjU5NDEwNTcvMzEwMDUwNDMzLTVmZTFmNDI2LWM2NmYtNGU0Ny05Y2I3LWY0MDEwZDZhMzNhMS5qcGc_WC1BbXotQWxnb3JpdGhtPUFXUzQtSE1BQy1TSEEyNTYmWC1BbXotQ3JlZGVudGlhbD1BS0lBVkNPRFlMU0E1M1BRSzRaQSUyRjIwMjQwMzA1JTJGdXMtZWFzdC0xJTJGczMlMkZhd3M0X3JlcXVlc3QmWC1BbXotRGF0ZT0yMDI0MDMwNVQxMDMyNTVaJlgtQW16LUV4cGlyZXM9MzAwJlgtQW16LVNpZ25hdHVyZT1iYmYxOGQ3MDQ2YzFjN2E1NzhhZDQ1ZGE4NmJmNWU3YjE0YTRmMzcwYThhZmUxOWQ1MzI5YzY5YzdmMWVhZDA4JlgtQW16LVNpZ25lZEhlYWRlcnM9aG9zdCZhY3Rvcl9pZD0wJmtleV9pZD0wJnJlcG9faWQ9MCJ9.-p0rdoPTEptWcK4lEVK3euV6LVVI6DyNJ6IEO_PpgHM) ![18496_353581_199031_upscaled](https://private-user-images.githubusercontent.com/125941057/310050523-6d6384f5-9c01-434e-83a0-8a13386ac276.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJnaXRodWIuY29tIiwiYXVkIjoicmF3LmdpdGh1YnVzZXJjb250ZW50LmNvbSIsImtleSI6ImtleTUiLCJleHAiOjE3MDk2MzUwNzUsIm5iZiI6MTcwOTYzNDc3NSwicGF0aCI6Ii8xMjU5NDEwNTcvMzEwMDUwNTIzLTZkNjM4NGY1LTljMDEtNDM0ZS04M2EwLThhMTMzODZhYzI3Ni5wbmc_WC1BbXotQWxnb3JpdGhtPUFXUzQtSE1BQy1TSEEyNTYmWC1BbXotQ3JlZGVudGlhbD1BS0lBVkNPRFlMU0E1M1BRSzRaQSUyRjIwMjQwMzA1JTJGdXMtZWFzdC0xJTJGczMlMkZhd3M0X3JlcXVlc3QmWC1BbXotRGF0ZT0yMDI0MDMwNVQxMDMyNTVaJlgtQW16LUV4cGlyZXM9MzAwJlgtQW16LVNpZ25hdHVyZT1iNGZjYTI2OTU3MDUyYmJjYTcwMDRlNzIyN2QxYmUzMWI1YmVjZWFmMGE4NDdmOTlhNmNjYTQ1ZDYzMWU5MzdlJlgtQW16LVNpZ25lZEhlYWRlcnM9aG9zdCZhY3Rvcl9pZD0wJmtleV9pZD0wJnJlcG9faWQ9MCJ9.UTij7QKYl4LUcd08wiULlTZfP2t75N2QRYpkqmHL3hI) Stage1 options ▼ Gamma Correction 1 Stage2 options ▼ Number...

> I'm used llava to generate the prompt Could i try with your images?

The first video with restauration of SUPIR Any idea for consistency image? https://github.com/Fanghua-Yu/SUPIR/assets/48472866/29713d93-190d-4c7d-8cbe-aa9910142668

> supir performs well most of the time, but for certain textures it's terrible ![brt000645900504](https://private-user-images.githubusercontent.com/125941057/310049829-2e7b9332-6cd0-4f7a-a19e-e46e62ed4a23.jpg?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJnaXRodWIuY29tIiwiYXVkIjoicmF3LmdpdGh1YnVzZXJjb250ZW50LmNvbSIsImtleSI6ImtleTUiLCJleHAiOjE3MDk4MzAwMTksIm5iZiI6MTcwOTgyOTcxOSwicGF0aCI6Ii8xMjU5NDEwNTcvMzEwMDQ5ODI5LTJlN2I5MzMyLTZjZDAtNGY3YS1hMTllLWU0NmU2MmVkNGEyMy5qcGc_WC1BbXotQWxnb3JpdGhtPUFXUzQtSE1BQy1TSEEyNTYmWC1BbXotQ3JlZGVudGlhbD1BS0lBVkNPRFlMU0E1M1BRSzRaQSUyRjIwMjQwMzA3JTJGdXMtZWFzdC0xJTJGczMlMkZhd3M0X3JlcXVlc3QmWC1BbXotRGF0ZT0yMDI0MDMwN1QxNjQxNTlaJlgtQW16LUV4cGlyZXM9MzAwJlgtQW16LVNpZ25hdHVyZT1mMjk0ZGZkNzI5ZjNkZmFkMmQyNjg4ZTJkYTVhNGU4M2Y5NThjNGY5N2VkMDMzZGMxZWIzM2UwMTY4YTM2YzgzJlgtQW16LVNpZ25lZEhlYWRlcnM9aG9zdCZhY3Rvcl9pZD0wJmtleV9pZD0wJnJlcG9faWQ9MCJ9.4_xAy1MAjw1TXecWCkw_nKjeaSc2grqmlSn1NTJ7rYE) ![brt000645900504_upscaled](https://private-user-images.githubusercontent.com/125941057/310049745-f3eecb49-42d5-4c6c-b983-2e343d1a7e6f.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJnaXRodWIuY29tIiwiYXVkIjoicmF3LmdpdGh1YnVzZXJjb250ZW50LmNvbSIsImtleSI6ImtleTUiLCJleHAiOjE3MDk4MzAwMTksIm5iZiI6MTcwOTgyOTcxOSwicGF0aCI6Ii8xMjU5NDEwNTcvMzEwMDQ5NzQ1LWYzZWVjYjQ5LTQyZDUtNGM2Yy1iOTgzLTJlMzQzZDFhN2U2Zi5wbmc_WC1BbXotQWxnb3JpdGhtPUFXUzQtSE1BQy1TSEEyNTYmWC1BbXotQ3JlZGVudGlhbD1BS0lBVkNPRFlMU0E1M1BRSzRaQSUyRjIwMjQwMzA3JTJGdXMtZWFzdC0xJTJGczMlMkZhd3M0X3JlcXVlc3QmWC1BbXotRGF0ZT0yMDI0MDMwN1QxNjQxNTlaJlgtQW16LUV4cGlyZXM9MzAwJlgtQW16LVNpZ25hdHVyZT1hZDJmNGUyMTg3NzhmYzBhOWRjMmIwZTA4NzcxY2RmZmQzYzRjNjdjMjNiODVmMTIwOWE5ZTU1YThmOGEwMDE3JlgtQW16LVNpZ25lZEhlYWRlcnM9aG9zdCZhY3Rvcl9pZD0wJmtleV9pZD0wJnJlcG9faWQ9MCJ9.CRBi-2P7aYUvEv_d1EBHL2NqPLzrJk-wSXCOHWF2vwM) ![18496_353603_814904](https://private-user-images.githubusercontent.com/125941057/310051860-5e518673-8f5f-4407-a86c-0a4cd06b8808.jpg?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJnaXRodWIuY29tIiwiYXVkIjoicmF3LmdpdGh1YnVzZXJjb250ZW50LmNvbSIsImtleSI6ImtleTUiLCJleHAiOjE3MDk4MzAwMTksIm5iZiI6MTcwOTgyOTcxOSwicGF0aCI6Ii8xMjU5NDEwNTcvMzEwMDUxODYwLTVlNTE4NjczLThmNWYtNDQwNy1hODZjLTBhNGNkMDZiODgwOC5qcGc_WC1BbXotQWxnb3JpdGhtPUFXUzQtSE1BQy1TSEEyNTYmWC1BbXotQ3JlZGVudGlhbD1BS0lBVkNPRFlMU0E1M1BRSzRaQSUyRjIwMjQwMzA3JTJGdXMtZWFzdC0xJTJGczMlMkZhd3M0X3JlcXVlc3QmWC1BbXotRGF0ZT0yMDI0MDMwN1QxNjQxNTlaJlgtQW16LUV4cGlyZXM9MzAwJlgtQW16LVNpZ25hdHVyZT0zYTA2YmJjNGM1MGFiZTg5ZTNlODhlOTJkNWU4ZjlmZjY0MzdlMWUwYjIzZmFjMjQ3N2Q1ODQyOGJkOGY2MWQzJlgtQW16LVNpZ25lZEhlYWRlcnM9aG9zdCZhY3Rvcl9pZD0wJmtleV9pZD0wJnJlcG9faWQ9MCJ9.G-v-Z-d83QNs80--vS9JYiZ4As98Mypn8hBbCj13kUQ) ![18496_353603_814904_upscaled](https://private-user-images.githubusercontent.com/125941057/310051884-db9cb90e-ce08-4e03-813a-3f678780ec5c.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJnaXRodWIuY29tIiwiYXVkIjoicmF3LmdpdGh1YnVzZXJjb250ZW50LmNvbSIsImtleSI6ImtleTUiLCJleHAiOjE3MDk4MzAwMTksIm5iZiI6MTcwOTgyOTcxOSwicGF0aCI6Ii8xMjU5NDEwNTcvMzEwMDUxODg0LWRiOWNiOTBlLWNlMDgtNGUwMy04MTNhLTNmNjc4NzgwZWM1Yy5wbmc_WC1BbXotQWxnb3JpdGhtPUFXUzQtSE1BQy1TSEEyNTYmWC1BbXotQ3JlZGVudGlhbD1BS0lBVkNPRFlMU0E1M1BRSzRaQSUyRjIwMjQwMzA3JTJGdXMtZWFzdC0xJTJGczMlMkZhd3M0X3JlcXVlc3QmWC1BbXotRGF0ZT0yMDI0MDMwN1QxNjQxNTlaJlgtQW16LUV4cGlyZXM9MzAwJlgtQW16LVNpZ25hdHVyZT1jNTA0NzZmOTMyMmJhOTkxYjllOTRmYTA3NjJmMzM4NTJiZmE5ZDgxNTkyYmI2OWY3YjdlMjBhZGJiNGFmODQxJlgtQW16LVNpZ25lZEhlYWRlcnM9aG9zdCZhY3Rvcl9pZD0wJmtleV9pZD0wJnJlcG9faWQ9MCJ9.DMOgUp-NG_HOTc78xwmBlFjEXG5T_raqd5wtBjIimGw) ![18496_353581_199031](https://private-user-images.githubusercontent.com/125941057/310050433-5fe1f426-c66f-4e47-9cb7-f4010d6a33a1.jpg?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJnaXRodWIuY29tIiwiYXVkIjoicmF3LmdpdGh1YnVzZXJjb250ZW50LmNvbSIsImtleSI6ImtleTUiLCJleHAiOjE3MDk4MzAwMTksIm5iZiI6MTcwOTgyOTcxOSwicGF0aCI6Ii8xMjU5NDEwNTcvMzEwMDUwNDMzLTVmZTFmNDI2LWM2NmYtNGU0Ny05Y2I3LWY0MDEwZDZhMzNhMS5qcGc_WC1BbXotQWxnb3JpdGhtPUFXUzQtSE1BQy1TSEEyNTYmWC1BbXotQ3JlZGVudGlhbD1BS0lBVkNPRFlMU0E1M1BRSzRaQSUyRjIwMjQwMzA3JTJGdXMtZWFzdC0xJTJGczMlMkZhd3M0X3JlcXVlc3QmWC1BbXotRGF0ZT0yMDI0MDMwN1QxNjQxNTlaJlgtQW16LUV4cGlyZXM9MzAwJlgtQW16LVNpZ25hdHVyZT00MGE0NDc4ZTNiOGJmMjFiYTkzOWY2ZjBiNTgzNGQ4YzZkOTYyYWQxNDAzZWIzMTcxODMwMzNlOGMzN2Y0YjBlJlgtQW16LVNpZ25lZEhlYWRlcnM9aG9zdCZhY3Rvcl9pZD0wJmtleV9pZD0wJnJlcG9faWQ9MCJ9.OJ7Gp3l0ao238HjzL2-j2WqOaZDegsupij4ipXhHo84) ![18496_353581_199031_upscaled](https://private-user-images.githubusercontent.com/125941057/310050523-6d6384f5-9c01-434e-83a0-8a13386ac276.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJnaXRodWIuY29tIiwiYXVkIjoicmF3LmdpdGh1YnVzZXJjb250ZW50LmNvbSIsImtleSI6ImtleTUiLCJleHAiOjE3MDk4MzAwMTksIm5iZiI6MTcwOTgyOTcxOSwicGF0aCI6Ii8xMjU5NDEwNTcvMzEwMDUwNTIzLTZkNjM4NGY1LTljMDEtNDM0ZS04M2EwLThhMTMzODZhYzI3Ni5wbmc_WC1BbXotQWxnb3JpdGhtPUFXUzQtSE1BQy1TSEEyNTYmWC1BbXotQ3JlZGVudGlhbD1BS0lBVkNPRFlMU0E1M1BRSzRaQSUyRjIwMjQwMzA3JTJGdXMtZWFzdC0xJTJGczMlMkZhd3M0X3JlcXVlc3QmWC1BbXotRGF0ZT0yMDI0MDMwN1QxNjQxNTlaJlgtQW16LUV4cGlyZXM9MzAwJlgtQW16LVNpZ25hdHVyZT1lYzZmNzQyMTk1MTk2ZTljYTFlYjAyZDA3ODA0NDg1MjBjNTIwNDg1MGY0NTg5YWYzNjgzZTgxOWYwMDE4OWZiJlgtQW16LVNpZ25lZEhlYWRlcnM9aG9zdCZhY3Rvcl9pZD0wJmtleV9pZD0wJnJlcG9faWQ9MCJ9.mGXUYdmS2t1uYiQAacfESpTkVpwdT_EzUvn45eAT6NY) Stage1 options ▼ Gamma Correction 1 Stage2 options ▼ Number...

After several tests, not works good, i convert the model with alpha 16 and you will see the difference, with Lamine Yamal FC.Barcelona soccer Player trained with Onetrainer. Generated with...

> > After several tests, not works good, i convert the model with alpha 16 and you will see the difference, with Lamine Yamal FC.Barcelona soccer Player trained with Onetrainer....