If you like this model, please contact me, or if you have a product concept design that you would like to share, please email: <a target="_blank" rel="ugc" href="mailto:guanjinlv@gmail.com">guanjinlv@gmail.com</a>Computer Graphics' future mecha style, technology amateur training, game CG style version, a perspective impact experience that travels through future technology, and cool neon effects to create scenes full of technology.Instructions for use:It is trained based on original materials and trained on SDXL base 1.0. You can use natural language to describe the mecha style of the scene you need. The recommended weight is 0.8~1.0. Because of the addition of different elements, I conducted a detailed analysis of the training set. Marking to distinguish different concepts, the specific trigger words are as follows:The basic trigger words are mechanical and MechaExamples include: a girl wearing a white mecha, a mecha suit with red accents, red and blue glowing details, and pink hairNote: You can change the mecha/character hair color by adding your favorite color before the trigger word. You can also add your favorite element trigger word to get more details at a higher resolution. It is recommended to use ControlNet to control the character's movements. !Negative prompt words: Just use general ones, low quality, low pixels, sketch, monochromeVAE: It can be used or not. It is recommended to use SDXL exclusive VAE. If you don’t have it, I have added it together and download it yourself.Magnified model: 4x-UltraSharp It is recommended to open ADetailer facial repairwarn:This model is prohibited from any form of commercial use and is for communication and learning purposes only!If you want to practice, you can say it in there and I will help you practice and answer your questions.

CG-futuristic mecha female

It is trained based on original materials and trained on SDXL base 1.0. You can use natural language to describe the mecha style of the scene you need. The recommended weight is 0.8~1.0. Because of the addition of different elements, I conducted a detailed analysis of the training set. Labeling to distinguish different concepts

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