![Gina Valentina - [Brazilian] Flux 🇧🇷 by reprinter on Tensor.Art](https://image.tensorartassets.com/cdn-cgi/image/anim=true,plain=false,w=500,q=85/model_showcase/0/b69b13b1-7e71-cd18-51fa-1c1d84308f66.webp)
![Gina Valentina - [Brazilian] Flux 🇧🇷 by reprinter on Tensor.Art](https://image.tensorartassets.com/cdn-cgi/image/anim=true,plain=false,w=500,q=85/model_showcase/0/5151dd03-3c43-375a-63b4-e4db2cde0e16.webp)
![Gina Valentina - [Brazilian] Flux 🇧🇷 by reprinter on Tensor.Art](https://image.tensorartassets.com/cdn-cgi/image/anim=true,plain=false,w=500,q=85/model_showcase/0/901e1c45-7f35-5d5c-91e0-429c5c0ede37.webp)
![Gina Valentina - [Brazilian] Flux 🇧🇷 by reprinter on Tensor.Art](https://image.tensorartassets.com/cdn-cgi/image/anim=true,plain=false,w=500,q=85/model_showcase/0/ce9d0512-1806-67d0-e9c8-073582f1c051.webp)
![Gina Valentina - [Brazilian] Flux 🇧🇷 by reprinter on Tensor.Art](https://image.tensorartassets.com/cdn-cgi/image/anim=true,plain=false,w=500,q=85/model_showcase/0/69af9654-9769-ba1c-78ce-96ff0d1e68ff.webp)
![Gina Valentina - [Brazilian] Flux 🇧🇷 by reprinter on Tensor.Art](https://image.tensorartassets.com/cdn-cgi/image/anim=true,plain=false,w=500,q=85/model_showcase/0/42c25138-3293-76c5-a21e-984c2b320d7d.webp)
![Gina Valentina - [Brazilian] Flux 🇧🇷 by reprinter on Tensor.Art](https://image.tensorartassets.com/cdn-cgi/image/anim=true,plain=false,w=500,q=85/model_showcase/0/108fe330-7247-5bd4-ca0f-5d6173becc77.webp)
![Gina Valentina - [Brazilian] Flux 🇧🇷 by reprinter on Tensor.Art](https://image.tensorartassets.com/cdn-cgi/image/anim=true,plain=false,w=500,q=85/model_showcase/0/c2e7b6e6-7376-76d8-1dfb-48ae04010296.webp)
THIS IS A REPRINT!
Go to original author to check their other models or to support them.
Gina Valentina is a popular American ***** Actress and Director who entered the industry when she was 18 years old. Gina Valentina was born on February 18, 1997, in Rio de Janeiro, Brazil
Preview images created using Flux Dev using InvokeAI
Add the lora and also "g1n4v4l3ntn4 woman" like in the example prompts.
V1 has 18MB created in CivitAI.
V2 has 146MB trained locally, with a better dataset.