HomeStoreFlux 2 Dev - Text & Image to Image - ComfyUI One Click Installer
Flux 2 Dev - Text & Image to Image - ComfyUI One Click Installer
⚡ AI Installer Package

Flux 2 Dev - Text & Image to Image - ComfyUI One Click Installer

$4.00

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// About this product

New Flux 2 text-to-image and image-to-image models are now live in ComfyUI. This post gives you everything needed to get started fast, including a free basic workflow, an enhanced Patreon-only workflow, and a one-click Windows installer tailored for RTX 4090/24 GB or higher users.

The Patreon-only workflow includes additional nodes: an Ollama API node for automatic prompt creation, upscaling nodes, a LoRA model loader, and VRAM management with a purge VRAM node. The Flux 2 scheduler is replaced with the basic scheduler for more options and more predictable behavior.

The installer sets up an isolated Miniconda Python environment preconfigured with Sage Attention, Flash Attention 2, Triton, PyTorch 2.8.0+cu128, and CUDA 12.8.

GitHub Repository: https://github.com/comfyanonymous/ComfyUI
Flux 2 ComfyUI Examples: comfyanonymous.github.io/ComfyUI_examples/flux2
Free Flux 2 Dev workflow: CivitAI
Cloud GPU RunPod Template: get.runpod.io/Flux2-Dev-ComyUI-Template

 

Included in the Package

The installer automatically sets up: Sage, Flash Attention 2, Triton for Windows, PyTorch 2.8.0+cu128.

 

Preloaded Models

 

Speed

Generate 1024 x 1024 images in roughly 1-2 minutes (20 steps) on an RTX 4090 24 GB VRAM GPU using the FP8 model.

 

System Requirements

  • Nvidia RTX 4090, 5090 series GPU or better
  • CUDA-compatible GPU with a minimum of 24 GB VRAM
  • Windows OS
  • At least 50 GB free storage

 

Usage Notes

  • Load the workflow and ensure your checkpoints are selected in the Loaders.
  • Upload images to the Load Image nodes to test image-to-image capabilities, or mute them for standard text prompting.
  • Set your sampler steps (20-30 steps for quick tests, more for extra detail).
  • Adjust resolution and aspect ratio carefully to avoid VRAM errors above 1024 x 1024.
  • Use the purge VRAM node between heavy generations if you run into memory issues.
  • For Ollama prompt generation, enter a short concept and let the node expand it into a detailed Flux 2-friendly prompt before queueing.

// Frequently asked

Common questions

What do I get when I buy this?
A one-click Windows installer you download instantly after checkout. It sets up the app and all its dependencies for you — no manual Python, CUDA, or environment wrangling.
Do I need to be technical to use it?
No. The installer is fully automated — run it and it handles the setup for you. Basic familiarity with Windows is all you need.
What are the system requirements?
Windows 10 or 11. Most tools run best on an NVIDIA GPU, and many are optimized for 6–8GB VRAM. See the description above for this tool's specific requirements.
Should I buy this or get Local Lab Pro?
Buy this if you only need this one tool. If you want several, Local Lab Pro ($10/month) includes this and all 79+ installers plus every future release — cheaper than buying a handful individually.
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