FLUX.1 [dev]
12B parameter open-weight diffusion model.
Requires: ComfyUI, Stable Diffusion WebUI Forge
HARDWARE REQUIREMENTS //
Runs locally · High-end GPU (16–24 GB)
NF4 fits in 6 GB but loses fidelity. FP8 in 12 GB is the practical sweet spot.
Why we recommend FLUX.1 [dev]
- Open source
Source is public — you can audit it, fork it, and you'll never lose access to your workflows if FLUX.1 [dev] the company changes direction.
- Runs on 8 GB
Comfortable on a mid-range consumer card — no need to remortgage for an A100.
- Apple Silicon
Native Metal / MPS support — runs on M-series Macs without CUDA gymnastics.
- Top-tier pick
Power-user score 95/100 — consistently rated highly by people who use this every day, not just benchmark chasers.
Documentation-led datasheet
This page summarizes upstream documentation, release information, and editorially reviewed catalogue fields. It is not presented as a hands-on benchmark. Verify changing requirements at the official project; report stale data through our corrections channel.
AT-A-GLANCE SIGNALS //
DERIVED FROM THIS PAGE'S DATA- Install difficultyPlugin
Drops into comfyui — assuming the host is already set up.
- Hardware comfortMainstream
Needs 8 GB minimum — RTX 3060 12GB or 4070 territory.
- EcosystemStrong devkit
Open-source AND ships an API — easy to integrate, possible to host yourself.
- VerificationRecent
Catalogue entry last updated 68 days ago — re-verification due soon.
Other heavy image generation tools we rate
Three picks across different tradeoffs — so you don't end up with three near-clones of FLUX.1 [dev].
What is FLUX.1 [dev]?
Black Forest Labs' FLUX.1 [dev] is the current open-weight quality leader for text-to-image. Excellent prompt adherence, hands, and text rendering. Runs in ComfyUI / Forge with FP8 or NF4 quantization for consumer GPUs.
Pros & cons
✓ PROS
- Best open-weight image quality
- Great hands and text
- Quantized variants fit consumer GPUs
– CONS
- Non-commercial license on [dev]
- Slow on <12 GB cards even quantized
- No native ControlNet (community ones exist)
What's actually free?
Open weights under a non-commercial license. Run free on your own GPU.