FlowMatch Euler Discrete Scheduler for ComfyUI

9 steps, big res, zero noise.

FlowMatchEulerDiscrete seems not exposed in ComfyUI, but it is what the official Z-Image demo in diffusers use.

So:

• I am exposing it in the scheduler section for you to use within KSampler.
• On top I provide a node, experimental, to configure the scheduler for use with CustomSampler and play with.

In short...if you want sharper and noise free images, use this!

Installation

• use comfy ui manager (search erosDiffusion or ComfyUI-EulerFlowMatchingDiscreteScheduler)

or

• git clone https://github.com/erosDiffusion/ComfyUI-EulerDiscreteScheduler.git in your custom nodes folder.

Example output (more below)

What you get

• one new scheduler FlowMatchEulerDiscreteScheduler registered in the KSampler
• a custom node that exposes all parameters of the FlowMatchEulerDiscreteScheduler which Outputs SIGMAS for use with SamplerCustom node.

Usage

• Simple: select the FlowMatchEulerDiscreteScheduler in the default workflow from ComfyUI and run.
• Advanced/experimental:
  1. Add FlowMatch Euler Discrete Scheduler (Custom) node to your workflow
  2. Connect its SIGMAS output to SamplerCustom node's sigmas input
  3. Adjust parameters to control the sampling behavior

Tech bits:

• https://huggingface.co/docs/diffusers/api/schedulers/flow_match_euler_discrete
• https://huggingface.co/Tongyi-MAI/Z-Image-Turbo/blob/main/scheduler/scheduler_config.json

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More examples:

Changelog

1.0.5

• remove bad practice of forking diffusers install on error (requirements.txt and does not rollback your diffusers if available)

1.0.4

• add start and end step by Etupa, with some fixes (can be used for image to image or restart sampling)

1.0.3

• node publish action

1.0.2

• changed the device management in the custom scheduler node to be on gpu (cuda)
• removed flash attention node dependency from the custom scheduler node
• removed flash attention node from init
• added mit licensing