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Thanks to their capabilities, text-to-image diffusion models have become immensely popular in the artistic community. However, current models, including state-of-the-art frameworks, often struggle to maintain control over the visual concepts and attributes in the generated images, leading to unsatisfactory outputs. Most models rely solely on text prompts, which poses challenges in modulating continuous attributes like […] The post Concept Sliders: Precise Control in Diffusion Models with LoRA Adaptors appeared first on Unite.AI.