Image GenerationBlack Forest Labs · Jan 2026

FLUX.2 [klein] 4B Hardware Requirements

The commercial-safe FLUX: Apache 2.0, 4-step distilled speed, image editing and multi-reference support — on an 8GB card. For most people this is the image model to actually use in 2026.

Apache 2.0 (commercial OK)Runs on 8GB cards4-step fast generation

VRAM needed

12 GB

minimum 8 GB

Cheapest GPU that runs it: RTX 3060 (~$238 used)

Check Price on Amazon

Updated July 2026. Estimates — see methodology below.

VRAM guidance

Quantized builds run in ~8GB; FP16 wants ~13GB. 4-step distilled, so generation is fast even on mid-range cards.

Best GPUs for FLUX.2 [klein] 4B

Best Value

NVIDIA GeForce RTX 3060

12GB · ~$238 used

RTX 3060

The cheapest way to run FLUX.2 [klein] 4B well.

GPU Compatibility

Every GPU in our database, scored against FLUX.2 [klein] 4B.

GPUVRAMVerdictPrice
RTX 306012 GBRuns great~$238 usedCheck price
Arc B58012 GBRuns greatfrom $250Check price
RX 6700 XT12 GBRuns great~$315 usedCheck price
Arc A77016 GBRuns greatfrom $300Check price
RX 7700 XT12 GBRuns great~$415 usedCheck price
RX 6800 XT16 GBRuns great~$438 usedCheck price
RX 7800 XT16 GBRuns great~$488 usedCheck price
RTX 407012 GBRuns great~$500 usedCheck price
RTX 4070 SUPER12 GBRuns great~$563 usedCheck price
RX 7900 XT20 GBRuns great~$588 usedCheck price
RTX 5060 Ti16 GBRuns greatfrom $550Check price
RX 907016 GBRuns greatfrom $575Check price
RTX 507012 GBRuns greatfrom $600Check price
RX 9070 XT16 GBRuns greatfrom $600Check price
RTX 4070 Ti SUPER16 GBRuns great~$750 usedCheck price
RX 7900 XTX24 GBRuns great~$838 usedCheck price
RTX 4080 SUPER16 GBRuns great~$900 usedCheck price
RTX 5070 Ti16 GBRuns greatfrom $900Check price
RTX 309024 GBRuns great~$1,150 usedCheck price
RTX 508016 GBRuns greatfrom $1,250Check price
RTX 409024 GBRuns great~$2,375 usedCheck price
RTX 509032 GBRuns greatfrom $2,800Check price
Arc B57010 GBTight fitfrom $225Check price
RTX 40608 GBTight fit~$275 usedCheck price
RX 76008 GBTight fitfrom $250Check price
RTX 4060 Ti8 GBTight fit~$338 usedCheck price
RTX 30708 GBTight fit~$338 usedCheck price
RTX 50608 GBTight fitfrom $325Check price
RTX 308010 GBTight fit~$463 usedCheck price

Frequently Asked Questions

How much VRAM do I need to run FLUX.2 [klein] 4B?+

FLUX.2 [klein] 4B needs a minimum of 8GB of VRAM, with 12GB recommended for comfortable use. Quantized builds run in ~8GB; FP16 wants ~13GB. 4-step distilled, so generation is fast even on mid-range cards.

What is the cheapest GPU that runs FLUX.2 [klein] 4B?+

NVIDIA GeForce RTX 3060 (12GB, ~$238 used) is the cheapest current GPU in our database that runs FLUX.2 [klein] 4B fully in VRAM.

Is FLUX.2 [klein] 4B free for commercial use?+

Yes. FLUX.2 [klein] 4B is released under the Apache 2.0, which permits commercial use.

Related Models

How we calculate these numbers

VRAM = model weights (parameters × bits per weight ÷ 8) + KV cache (architecture-specific bytes per token × context length) + ~1.2GB runtime overhead. Speed estimates assume decode is memory-bandwidth-bound at ~50% utilization (lower for MoE models, which pay routing overhead), matching typical llama.cpp performance on consumer cards; real results vary with runtime, drivers, and settings. Quant sizes reflect GGUF K-quants, which keep some layers at higher precision. Figures are estimates for planning, not guarantees — when in doubt, buy more VRAM than you need today. Prices shown are launch MSRP; mid-2026 street prices often run well above MSRP due to the ongoing memory shortage, and used 24GB cards are holding their value unusually well.