── POPULAR TAGS ──
#python (663)
#typescript (612)
#cli (560)
#hacktoberfest (494)
#cli-tool (489)
#react (482)
#javascript (448)
#rust (418)
#cross-platform (389)
#go (372)
#devops (316)
#ai (304)
#nodejs (300)
#llm (296)
#golang (288)
#android (271)
#open-source (255)
#docker (249)
#machine-learning (221)
#java (217)
#plugin-system (214)
#monorepo (214)
#security (212)
#self-hosted (211)
#linux (207)
#mcp (204)
#awesome-list (197)
#plugin-architecture (196)
#ai-agents (187)
#deep-learning (187)
FlowEdit is a PyTorch-based implementation of the FlowEdit algorithm for inversion-free text-guided image editing using pre-trained flow models (Stable Diffusion 3 and FLUX). The system takes an input image and source/target prompts, and edits the image by solving an ODE that combines the source and target trajectories in the latent space. The core algorithm is implemented in FlowEdit_utils.py, with run_script.py orchestrating the experiment execution based on YAML configurations. The repository includes a dataset of images and prompts for numerical evaluation.
RATING:
MAINT: maintained
DRIFT: medium
▸ 1 reusable components found
── end of results ──