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Image ModelOpen Source

FLUX.2 Klein 4B VRAM Requirements

Developed by Black Forest Labs

Determine the local VRAM and system RAM requirements to run the FLUX.2 Klein 4B image generation model. Calculate components footprint, check VRAM margins, and optimize configurations for local generation speed.

Hardware Configuration

Adjust settings to check compatibility with your system in real time.

GB VRAM

Available: 14.50 GB

GB RAM

Available: 29.00 GB

CPU Offloading
Compatibility Verdict
Fits with CPU Offload

Some layers must be offloaded to system memory. The model will run, but expect significantly slower generation speeds.

Requires 21.75 GB total memory (weights: 15.79 GB, overhead: 5.96 GB).

Memory Margin+1.99 GB

FLUX.2 Klein 4B Component VRAM Breakdown

transformer7.57 GB
text encoder8.05 GB
vae0.17 GB
Activation Overhead4.96 GB
Hardware Overhead1.00 GB
Total Active VRAM Required21.75 GB

How to Setup and Run FLUX.2 Klein 4B Locally

1

Download Weights from Hugging Face

Open-source image model weights are hosted on Hugging Face. You will need to download the model files (safetensors or GGUF variants) and place them in your UI's model folder.

2

Setup inside ComfyUI or WebUI

Most image models require a generation framework:

  • ComfyUI (Recommended): Put the UNet/Transformer weight files inside `ComfyUI/models/checkpoints/` or `ComfyUI/models/unet/` and the VAE inside `ComfyUI/models/vae/`.
  • Stable Diffusion WebUI (Forge/re-forge): Put checkpoint files inside `webui/models/Stable-diffusion/`.

Model Specs

  • DeveloperBlack Forest Labs
  • AvailabilityLocal-Only
  • Official SiteVisit site

Key Strengths

realismprompt adherenceeditingoutput qualitycharacter consistencytext rendering

Commercial API Pricing

Commercial API costs $0.0140 per generated image.

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