Shypd.aiThe largest open index of AI toolsAwesome-Controllable-T2I-Diffusion-Models is an academic research tool that collects resources on controllable generation with text-to-image diffusion models. It focuses on controlling these models with novel conditions.
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Awesome-Controllable-T2I-Diffusion-Models is a comprehensive collection of resources dedicated to controllable generation using text-to-image diffusion models. This GitHub repository specifically highlights methods for controlling these models with novel conditions, drawing from a survey paper titled "Controllable Generation with Text-to-Image Diffusion Models: A Survey." The repository is structured to categorize various approaches, including generation with specific conditions (such as personalization, subject-driven, person-driven, style-driven, interaction-driven, image-driven, distribution-driven, spatial control, advanced text-conditioned, in-context, brain-guided, sound-guided, and text rendering generation) and generation with multiple conditions (like joint training, continual learning, weight fusion, attention-based integration, guidance composition, universal controllable generation, universal conditional score prediction, and universal condition-guided score estimation). It serves as a valuable academic resource for researchers and developers in the field.
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