Style LoRAs #
Style LoRAs for Stable Diffusion models focus on adapting the neural network to replicate specific artistic styles, visual aesthetics, or rendering techniques. These adaptations modify how the model interprets and generates visual elements like brushstrokes, color palettes, shading techniques, and overall artistic presentation. Style LoRAs can transform outputs to match anything from classical art movements (like impressionism or art nouveau) to modern digital art styles (such as anime, pixel art, or watercolor). They work by fine-tuning the model’s attention layers to recognize and reproduce distinctive visual patterns and techniques associated with the target style, while requiring relatively few training images (typically 15-50 high-quality examples) to achieve good results.
LoRAs #
- by_beksinski
- Zdzisław Beksiński’s art style is characterized by its hauntingly surreal landscapes, filled with eerie, dystopian imagery and a profound sense of desolation.
- by_chunie
- Chunie’s art style is known for its vibrant, detailed, and realistic depictions of anthropomorphic characters, capturing intricate details and expressions, and conveying a sense of movement and energy, which has earned him a dedicated following in the furry community.
- by_dagasi
- What? Dagasi? What is that? I don’t know anything about it!
- by_himari
- A tiny LoRA trained on 4 images by @147Penguinmw.
- darkgem
- Fuck you too! x3
- furry_sticker
- Generate an infinite amount of furry stickers for your infinite amount of telegram accounts!
- realistic
- My take on photorealistic furries. Highly experimental and extremely fun!