Mindket

FLUX.1-schnell for ComfyUI

Newversion 1 · updated

Overview

Repackaged FLUX.1-schnell checkpoints for ComfyUI that turn a text prompt into an image, with an FP8 file that runs faster and uses less memory. For ComfyUI users.

FLUX.1-schnell for ComfyUI is a kit in the Developer category, listed by Mindket. It is free. This is version 1, last updated on . Download it on this page, a zip of its files. Nothing in it runs by itself.

At a glance

You need
  • A working ComfyUI install
  • Python with the huggingface_hub package
  • Disk space for one or both checkpoints
Runs in
  • ComfyUI, on Windows, macOS or Linux
  • ComfyUI workflow templates from Comfy-Org for FLUX.1 schnell
  • Python with the Hugging Face tools, to download the files
Start with
pip install -U huggingface_hub
hf download Comfy-Org/Flux-1-Schnell

Platform

WindowsOperating system
macOSOperating system
LinuxOperating system

About

What it is

These are FLUX.1-schnell model files repackaged for ComfyUI, a node-based tool that turns a text prompt into an image. The repository holds two checkpoints, a regular one and one with FP8 weights. The FP8 file is meant to run faster in ComfyUI and to use less memory. The original model comes from Black Forest Labs.

Who it suits

It suits ComfyUI users who want a ready-to-load FLUX.1-schnell checkpoint without converting files themselves, including those with limited memory.

IndustryWho uses itHow they use itExample
Design and artDigital artistsGenerate images from text prompts in ComfyUIA written description becomes a picture
MarketingContent teamsDraft visuals for posts and campaignsA prompt produces a first image to refine
Software developmentDevelopers who build image pipelinesUse the checkpoint as a node in a workflowThe model loads as a ComfyUI checkpoint

You can skip it if you do not use ComfyUI, since these files are packaged for it.

Where to use it

  • ComfyUI, on Windows, macOS or Linux
  • ComfyUI workflow templates from Comfy-Org for FLUX.1 schnell
  • Python with the Hugging Face tools, to download the files
Use caseWhoWhat they get back
Text to imageArtists and designersAn image generated from a text prompt
Faster runs on modest hardwareUsers with limited memoryA result from the FP8 checkpoint that runs faster and uses less memory
Full-weight runsUsers who want the regular fileAn image from the regular checkpoint

How to set it up

You need ComfyUI and a place for the checkpoint files.

  • A working ComfyUI install
  • Python with the huggingface_hub package
  • Disk space for one or both checkpoints
  1. Install the Hugging Face tools with Python.
  2. Download the repository files with the second command below.
  3. Place the checkpoint files in the checkpoints folder under ComfyUI/models.
  4. Open one of the two listed workflows in ComfyUI.
pip install -U huggingface_hub
hf download Comfy-Org/Flux-1-Schnell
Where each file goes under ComfyUI/models
FolderFile
checkpointsflux1-schnell-fp8.safetensors
checkpointsflux1-schnell.safetensors

How to use it

The card gives no command. Open one of the two workflows in ComfyUI, type a description of the image you want, and run it. The FP8 workflow is the lighter choice.

ToolWhat it does
FP8 workflowTemplate that uses the FP8 checkpoint for lighter, faster runs
Full text-to-image workflowTemplate for text-to-image with the regular checkpoint

Example

You put the FP8 checkpoint in the checkpoints folder, open the FP8 workflow, type a short description of a scene, and run it. ComfyUI returns an image generated from that text.

For newcomers and experts

Think of it as an image generator that plugs into ComfyUI. A first small try is to place the FP8 file, open its workflow and run a short prompt.

The repository carries two single-file checkpoints of the same model. One keeps the regular weights, and the other stores weights in FP8, which cuts memory use and speeds up runs in ComfyUI. The trade-off is that FP8 stores weights at lower precision than the regular file.

  1. Place the checkpoint in ComfyUI/models/checkpoints
  2. Open a FLUX.1 schnell workflow
  3. Write a text prompt
  4. Run the workflow
  5. Get a generated image

Good to know

  • Repackaged files: they are the original FLUX.1-schnell weights arranged for ComfyUI, and the original model repository belongs to Black Forest Labs
  • Two checkpoints: you can use either one, and the FP8 one is lighter
  • Precision: the card does not compare image quality between the two files
  • License: Apache 2.0
  • Cost to run: none named
  • Data it reaches: the files you download and the prompts you run in ComfyUI
  • Not for: use outside ComfyUI, since the files are repackaged for it

README and files

README

FLUX.1-schnell for ComfyUI

Repackaged FLUX.1-schnell checkpoints for ComfyUI that turn a text prompt into an image, with an FP8 file that runs faster and uses less memory. For ComfyUI users.

Made by Comfy-Org on Hugging Face. These notes are Mindket's, written from its model page and model card; the model's own files and license are on Hugging Face.

About

What it is: These are FLUX.1-schnell model files repackaged for ComfyUI, a node-based tool that turns a text prompt into an image. The repository holds two checkpoints, a regular one and one with FP8 weights. The FP8 file is meant to run faster in ComfyUI and to use less memory. The original model comes from Black Forest Labs.

Who it suits: It suits ComfyUI users who want a ready-to-load FLUX.1-schnell checkpoint without converting files themselves, including those with limited memory.

Industry | Who uses it | How they use it | Example
Design and art | Digital artists | Generate images from text prompts in ComfyUI | A written description becomes a picture
Marketing | Content teams | Draft visuals for posts and campaigns | A prompt produces a first image to refine
Software development | Developers who build image pipelines | Use the checkpoint as a node in a workflow | The model loads as a ComfyUI checkpoint

You can skip it if you do not use ComfyUI, since these files are packaged for it.

Where to use it:

  • ComfyUI, on Windows, macOS or Linux
  • ComfyUI workflow templates from Comfy-Org for FLUX.1 schnell
  • Python with the Hugging Face tools, to download the files
Use case | Who | What they get back
Text to image | Artists and designers | An image generated from a text prompt
Faster runs on modest hardware | Users with limited memory | A result from the FP8 checkpoint that runs faster and uses less memory
Full-weight runs | Users who want the regular file | An image from the regular checkpoint

How to set it up: You need ComfyUI and a place for the checkpoint files.

  • A working ComfyUI install
  • Python with the huggingface_hub package
  • Disk space for one or both checkpoints
  1. Install the Hugging Face tools with Python.
  2. Download the repository files with the second command below.
  3. Place the checkpoint files in the checkpoints folder under ComfyUI/models.
  4. Open one of the two listed workflows in ComfyUI.
pip install -U huggingface_hub
hf download Comfy-Org/Flux-1-Schnell
Title: Where each file goes under ComfyUI/models
Folder | File
checkpoints | flux1-schnell-fp8.safetensors
checkpoints | flux1-schnell.safetensors

How to use it: The card gives no command. Open one of the two workflows in ComfyUI, type a description of the image you want, and run it. The FP8 workflow is the lighter choice.

Tool | What it does
FP8 workflow | Template that uses the FP8 checkpoint for lighter, faster runs
Full text-to-image workflow | Template for text-to-image with the regular checkpoint

Example: You put the FP8 checkpoint in the checkpoints folder, open the FP8 workflow, type a short description of a scene, and run it. ComfyUI returns an image generated from that text.

For newcomers and experts: Think of it as an image generator that plugs into ComfyUI. A first small try is to place the FP8 file, open its workflow and run a short prompt.

The repository carries two single-file checkpoints of the same model. One keeps the regular weights, and the other stores weights in FP8, which cuts memory use and speeds up runs in ComfyUI. The trade-off is that FP8 stores weights at lower precision than the regular file.

Place the checkpoint in ComfyUI/models/checkpoints
Open a FLUX.1 schnell workflow
Write a text prompt
Run the workflow
Get a generated image

Good to know:

  • Repackaged files: they are the original FLUX.1-schnell weights arranged for ComfyUI, and the original model repository belongs to Black Forest Labs
  • Two checkpoints: you can use either one, and the FP8 one is lighter
  • Precision: the card does not compare image quality between the two files
  • License: Apache 2.0
  • Cost to run: none named
  • Data it reaches: the files you download and the prompts you run in ComfyUI
  • Not for: use outside ComfyUI, since the files are repackaged for it

On Hugging Face, 13 November 2026

  • Task: text to image
  • Library: diffusion-single-file
  • Downloads in the last 30 days: 318,566
  • Likes: 314
  • License: apache-2.0
  • Based on: black-forest-labs/FLUX.1-schnell
  • Tags: diffusion-single-file, comfyui, text-to-image

Links

Get the model

Download its files with Hugging Face's command line:

pip install -U huggingface_hub
hf download Comfy-Org/Flux-1-Schnell

Then follow the usage in its model card. Nothing in this kit runs by itself.

Files
README.md  5 KB

1 file, 5 KB, downloaded as a zip.

What’s new

  • Version 1 · 2026-11-13

Compare with similar

Listed Hugging Face models in the same category that share the most tags with this one.

ProductDownloads, last 30 daysLikesLicenseLast change
FLUX.1-schnell for ComfyUI This page318,566314apache-2.0
FLUX.2 Klein 4B for ComfyUIShares diffusion-single-file · comfyui · text-to-image1,291,519125apache-2.0
Z-Image TurboShares diffusion-single-file · comfyui9,688,7281,030apache-2.0
MOSS-ImageShares diffusion-single-file · comfyui6,310,763666apache-2.0
Wan 2.1 for ComfyUIShares diffusion-single-file · comfyui4,888,8941,044apache-2.0
Qwen-Image-Edit by Comfy-OrgShares diffusion-single-file · comfyui1,898,657521apache-2.0
Numbers as Mindket last read them, from 2026-11-12 to 2026-11-13.

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