Concept Sliders trains lightweight LoRA adaptors that modify how diffusion models interpret latents, enabling fine-grained control over generated attributes like age, style, or mood. The method requires minimal training data and allows users to compose multiple sliders to steer image generation through intuitive interfaces. Supports SDXL and FLUX-1 diffusion models.