How much GPU VRAM is needed for FLUX.1 Kontext [dev] image generation?

Running FLUX.1 Kontext [dev] locally at standard 1024x1024 resolution requires ~12GB to 16GB of VRAM depending on the precision variant (FP8 vs FP16) and text encoder backbone.

Is FLUX.1 Kontext [dev] open source and free to self-host?

Yes, FLUX.1 Kontext [dev] provides open weights that can be self-hosted locally on compatible hardware with $0 per-image token fees.

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Image ModelOpen Source

FLUX.1 Kontext [dev] VRAM Requirements

Developed by Black Forest Labs

Determine the local VRAM and system RAM requirements to run the FLUX.1 Kontext [dev] 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.

GPU Dedicated VRAM

GB VRAM

Available: 14.50 GB

System Host RAM

GB RAM

Available: 29.00 GB

CPU Offloading

Compatibility Verdict

Out of Memory Risk

This configuration exceeds your system's usable memory capacity. Attempting to run it will cause crashes or freeze your machine.

Requires 41.21 GB total memory (weights: 35.25 GB, overhead: 5.96 GB).

Memory Margin0 GB

FLUX.1 Kontext [dev] Precision Variants

FLUX.1 Kontext [dev] Component VRAM Breakdown

transformer23.80 GB

text encoder0.25 GB

text encoder_29.52 GB

vae1.68 GB

Activation Overhead4.96 GB

Hardware Overhead1.00 GB

Total Active VRAM Required41.21 GB

How to Setup and Run FLUX.1 Kontext [dev] Locally

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.

Hugging Face Repository

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

This model is self-hosted only with no commercial API endpoints.

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