ComfyUI Qwen Rectified Flow Inverter

Custom nodes for ComfyUI that target rectified-flow models (for example, Qwen). This pack focuses on inversion and related diagnostics.

Nodes

Qwen Rectified Flow Inverter

Runs the rectified-flow ODE backwards to re-noise an encoded latent. Supports deterministic amplification, seeded stochastic perturbation, and optional output normalisation.

Latent Hybrid Inverter (Qwen)

Convenience node that runs the inverter plus an internal forward-diffusion anchor pass, then blends their outputs via spherical interpolation.

Memory Diagnostics (Pass-Through)

Passes data through unchanged while logging basic GPU memory stats.

Noise nodes moved

All latent/image/conditioning noise + filtering nodes that used to ship here have been moved to Skoogeer-Noise (see ../Skoogeer-Noise).

Installation

  1. Clone or download this repository into ComfyUI/custom_nodes/.
  2. Restart ComfyUI to load the nodes (look under Qwen/Sampling and Qwen/Diagnostics).

Running the tests

The repository ships with a helper script that prepares a virtual environment and executes the pytest suite. From the project root run:

./run_tests.sh

The script creates (or reuses) a .venv folder, installs the dependencies from requirements.txt, and then launches pytest.

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