fallenshock/FlowEdit

Health v2 · maintenance only

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1014 stars · 51 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Official PyTorch implementation of FlowEdit, an ICCV 2025 method for inversion-free, text-based editing of real images using pre-trained flow/diffusion models like Stable Diffusion 3 and FLUX. It constructs a direct ODE between source and target prompt distributions, avoiding image inversion and working model-agnostically.

Use cases

• edit real images with a text prompt
• inversion-free image editing with diffusion models
• edit photos using Stable Diffusion 3 or FLUX
• research code for text-guided image manipulation
• zero-shot image editing without optimization
• use FlowEdit in ComfyUI workflows

When to choose

• you need text-based editing of real images without inversion
• you want a model-agnostic editing method that transfers across flow model architectures
• you want state-of-the-art editing results with SD3 or FLUX
• you want to reproduce or build on published research

When to avoid

• you need general-purpose image editing with masks or inpainting controls
• you lack a CUDA GPU or the required VRAM for SD3/FLUX
• you need a polished GUI application rather than scripts and YAML configs
• you need video editing as a first-class feature

Facets

library · maturity active

image-processing machine-learning deep-learning image-processing artificial-intelligence computer-vision python cross-platform diffusion-models rectified-flow text-guided-image-editing stable-diffusion-3 flux inversion-free pytorch research-paper comfyui gpu linux

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