Official implementation for "Stable Flow: Vital Layers for Training-Free Image Editing" [CVPR 2025]
[ICCV2025] Official repository of "FlowDPS: Flow-Driven Posterior Sampling for Inverse Problems"
MintNet: Building Invertible Neural Networks with Masked Convolutions
CapField-OPD: Learning Continuous Capability Fields via Joint-Anchored Multi-Teacher On-Policy Distillation for Flow Models
FlowModel is a lightweight and extensible machine learning framework designed for beginners to easily experiment with AI development through a modular plugin architecture.
Stochastic calculus: SDEs, diffusion, flow matching
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