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Awesome GitHub RepositoriesInput Standardization Conditioners
Mechanisms that unify diverse input types into a format compatible with diffusion conditioning.
Distinct from Diffusion Conditioning Architectures: Specifically focuses on the input standardization layer of the conditioning architecture.
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Awesome Input Standardization Conditioners GitHub Repositories
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- stability-ai/generative-models
Stability-AI/generative-models
27,189在 GitHub 上查看This is a framework for training and sampling diffusion models to generate high-fidelity images, video, and 4D assets. It provides a modular environment for managing generative AI training pipelines, including the handling of datasets, noise sampling, and loss weighting to stabilize the creation of synthetic content. The project features a modular model configuration system that uses YAML-based assembly to define network submodules and conditioners. It also includes a dedicated toolset for AI image watermarking, allowing for the embedding and detection of invisible markers to verify the origi
Standardizes input types like vectors and sequences through a single conditioner to guide model generation.
Python
