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Efficiently train Flux and SDXL LoRA models to achieve precise, high-quality visuals.
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Efficiently train Flux LoRA models to align perfectly with your creative vision. Flux offers powerful, precise training to achieve high-quality visuals, even with a minimal dataset. Training an SDXL LoRA model is efficient and straightforward, producing visuals that closely match your targeted style. Even with just 5 images, SDXL delivers impressive results.
With customizable presets, Flux removes the hassle of setting parameters while still giving you flexibility if customization is needed. Use SDXL’s predefined parameters for styles, themes, and subjects to simplify the training process while maintaining customization options for greater control.
Flux provides advanced control with parameters like Training Steps, Learning Rate, and ControlNet options, offering precision in every aspect of the learning process. SDXL allows for extensive customization with features such as Training Steps, Learning Rate, and Text Encoder Learning Rate, giving you exact control over the model's learning.
Training LoRA models with Scenario is efficient and intuitive, whether using SDXL or Flux. With just a few images, you can capture the desired style, benefiting from straightforward setup options and the ability to customize as needed. Flux further enhances control, allowing detailed refinements to ensure consistency and precision in your visuals.Both models excel in creating consistent styles with high accuracy, but Flux adds interactive features for live painting and inpainting, providing a fluid, responsive workflow perfect for quick creative iterations.
The use of custom-trained AI models markedly accelerates the creation of high-quality game assets. Ideal for large-scale projects or situations with constrained resources, AI-assisted design streamlines the production of consistent, intricate assets, lightening the burden on the artistic team and hastening the development process.
For games demanding extensive content, such as open-world or procedural genres, custom AI models can be integrated via Scenario’s API are capable of producing a variety of assets that are consistent in style. This capability facilitates the crafting of extensive, diverse game worlds without manually designing each asset, thus enriching the exploration and engagement of players. *Courtesy to LLC for the image
Training custom AI models on specific art directions ensures that all visual elements generated as output, from character designs to environments, adhere to a unique aesthetic vision.
In this tutorial, you will learn the basics of how to train a custom style model on Scenario! We will be showing this process through the webapp, which is the recommended interface for training custom models
Minerva 1.0 is Scenario's first proprietary general finetune, carefully created with Game Designers in mind. We have found that specialized models tend to give the best outputs, and this particular model covers a range of elegant design styles. It has high logic and fidelity, and is a great starting point for any user.
Dive deeper into understanding Scenario's Regularization and Class categories
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