Can My GPU Run FLUX.2 Klein 9B?
Text to Image · VRAM requirements and compatibility for 78 GPUs
Home › AI Models › FLUX.2 Klein 9B
Larger sibling of FLUX.2 Klein 4B: distilled text-to-image plus multi-reference editing. FLUX.2 Klein 9B is a text to image model — developed by Black Forest Labs, released 2026-01, 9.1B parameters, 18.2 GB download, license: flux-non-commercial-license.
Short answer: you need at least 4 GB of VRAM (9 GB recommended). 78 of 78 GPUs can run it; the smallest NVIDIA card that can is the GTX 1060 6GB (6 GB).
Check FLUX.2 Klein 9B on your GPUFLUX.2 Klein 9B VRAM requirements
| Format | VRAM |
|---|---|
| FP16 (full precision) | 18 GB |
| FP8 | 9 GB |
| GGUF Q4 | 5 GB |
| GGUF Q3 | 5 GB |
| Minimum | 4 GB |
| Recommended | 9 GB |
| Optimal | 18 GB |
Tip: GGUF Q4_K_M is 5.9 GB; an official FP8 version exists.
Available as: ComfyUI, Diffusers, GGUF quantized versions, FP8 versions, CPU offloading.
Official pages: Hugging Face
Which GPUs can run FLUX.2 Klein 9B?
Ratings go from S (perfect) to F (can't run) and use the best format that fits in each card's VRAM. How ratings work.
NVIDIA
| GPU | VRAM | Rating | Runs as | Speed | |
|---|---|---|---|---|---|
| RTX 5090 | 32 GB | Perfect | FP16 | Fast | Details |
| RTX 5080 | 16 GB | Great | FP8 | Fast | Details |
| RTX 5070 Ti | 16 GB | Great | FP8 | Fast | Details |
| RTX 5070 | 12 GB | Good | FP8 | Moderate | Details |
| RTX 5060 Ti 16GB | 16 GB | Good | FP8 | Moderate | Details |
| RTX 5060 Ti 8GB | 8 GB | Good | GGUF Q4 | Moderate | Details |
| RTX 5060 | 8 GB | Good | GGUF Q4 | Slow | Details |
| RTX 4090 | 24 GB | Great | FP16 | Fast | Details |
| RTX 4080 Super | 16 GB | Great | FP8 | Fast | Details |
| RTX 4080 | 16 GB | Great | FP8 | Fast | Details |
| RTX 4070 Ti Super | 16 GB | Great | FP8 | Fast | Details |
| RTX 4070 Ti | 12 GB | Good | FP8 | Moderate | Details |
| RTX 4070 Super | 12 GB | Good | FP8 | Moderate | Details |
| RTX 4070 | 12 GB | Good | FP8 | Moderate | Details |
| RTX 4060 Ti 16GB | 16 GB | Good | FP8 | Moderate | Details |
| RTX 4060 Ti 8GB | 8 GB | Good | GGUF Q4 | Slow | Details |
| RTX 4060 | 8 GB | Good | GGUF Q4 | Slow | Details |
| RTX 3090 Ti | 24 GB | Great | FP16 | Fast | Details |
| RTX 3090 | 24 GB | Good | FP16 | Fast | Details |
| RTX 3080 Ti | 12 GB | Good | GGUF Q4 | Moderate | Details |
| RTX 3080 12GB | 12 GB | Good | GGUF Q4 | Moderate | Details |
| RTX 3080 10GB | 10 GB | Good | GGUF Q4 | Moderate | Details |
| RTX 3070 Ti | 8 GB | Good | GGUF Q4 | Moderate | Details |
| RTX 3070 | 8 GB | Good | GGUF Q4 | Slow | Details |
| RTX 3060 Ti | 8 GB | Good | GGUF Q4 | Slow | Details |
| RTX 5050 | 8 GB | Usable | GGUF Q4 | Slow | Details |
| RTX 3060 | 12 GB | Good | GGUF Q4 | Slow | Details |
| RTX 2080 Ti | 11 GB | Good | GGUF Q4 | Moderate | Details |
| RTX 2080 Super | 8 GB | Usable | GGUF Q4 | Slow | Details |
| RTX 2080 | 8 GB | Usable | GGUF Q4 | Slow | Details |
| RTX 2070 Super | 8 GB | Usable | GGUF Q4 | Slow | Details |
| RTX 2070 | 8 GB | Usable | GGUF Q4 | Slow | Details |
| RTX 2060 Super | 8 GB | Usable | GGUF Q4 | Slow | Details |
| RTX 2060 | 6 GB | Usable | GGUF Q4 | Slow | Details |
| GTX 1080 Ti | 11 GB | Good | GGUF Q4 | Slow | Details |
| GTX 1080 | 8 GB | Usable | GGUF Q4 | Slow | Details |
| GTX 1070 Ti | 8 GB | Usable | GGUF Q4 | Slow | Details |
| GTX 1070 | 8 GB | Usable | GGUF Q4 | Slow | Details |
| GTX 1060 6GB | 6 GB | Usable | GGUF Q4 | Slow | Details |
AMD
| GPU | VRAM | Rating | Runs as | Speed | |
|---|---|---|---|---|---|
| RX 9070 XT | 16 GB | Great | FP8 | Fast | Details |
| RX 9070 | 16 GB | Good | FP8 | Moderate | Details |
| RX 7900 XTX | 24 GB | Good | FP16 | Fast | Details |
| RX 9070 GRE | 12 GB | Good | FP8 | Moderate | Details |
| RX 7900 XT | 20 GB | Good | FP16 | Moderate | Details |
| RX 9060 XT 16GB | 16 GB | Good | FP8 | Moderate | Details |
| RX 9060 XT 8GB | 8 GB | Good | GGUF Q4 | Slow | Details |
| RX 7900 GRE | 16 GB | Good | GGUF Q4 | Moderate | Details |
| RX 7800 XT | 16 GB | Good | GGUF Q4 | Moderate | Details |
| RX 7700 XT | 12 GB | Good | GGUF Q4 | Moderate | Details |
| RX 7600 XT | 16 GB | Good | GGUF Q4 | Slow | Details |
| RX 7600 | 8 GB | Usable | GGUF Q4 | Slow | Details |
| RX 6950 XT | 16 GB | Good | GGUF Q4 | Moderate | Details |
| RX 6900 XT | 16 GB | Good | GGUF Q4 | Moderate | Details |
| RX 6800 XT | 16 GB | Good | GGUF Q4 | Slow | Details |
| RX 6800 | 16 GB | Good | GGUF Q4 | Slow | Details |
| RX 6700 XT | 12 GB | Good | GGUF Q4 | Slow | Details |
| RX 6600 XT | 8 GB | Usable | GGUF Q4 | Slow | Details |
| RX 6600 | 8 GB | Usable | GGUF Q4 | Slow | Details |
Apple
| GPU | VRAM | Rating | Runs as | Speed | |
|---|---|---|---|---|---|
| M5 Ultra | 96 GB | Usable | FP16 | Fast | Details |
| M3 Ultra | 96 GB | Usable | FP16 | Fast | Details |
| M4 Max | 48 GB | Usable | FP16 | Fast | Details |
| M5 Max | 48 GB | Usable | FP16 | Fast | Details |
| M4 Pro | 24 GB | Barely | FP16 | Moderate | Details |
| M5 Pro | 24 GB | Barely | FP16 | Moderate | Details |
| M4 | 16 GB | Barely | GGUF Q4 | Slow | Details |
| M3 Max | 36 GB | Barely | FP16 | Moderate | Details |
| M3 Pro | 18 GB | Can't Run | FP16 | Slow | Details |
| M5 | 16 GB | Barely | GGUF Q4 | Slow | Details |
| M6 | 16 GB | Barely | GGUF Q4 | Slow | Details |
| M3 | 16 GB | Barely | GGUF Q4 | Slow | Details |
| M2 Ultra | 192 GB | Usable | FP16 | Fast | Details |
| M2 Max | 96 GB | Usable | FP16 | Fast | Details |
| M2 Pro | 32 GB | Barely | FP16 | Moderate | Details |
| M2 | 24 GB | Barely | FP16 | Slow | Details |
| M1 Ultra | 128 GB | Usable | FP16 | Fast | Details |
| M1 Max | 64 GB | Usable | FP16 | Moderate | Details |
| M1 Pro | 32 GB | Barely | FP16 | Moderate | Details |
| M1 | 16 GB | Barely | GGUF Q4 | Slow | Details |
Frequently asked questions
How much VRAM does FLUX.2 Klein 9B need?
FLUX.2 Klein 9B needs at least 4 GB of VRAM, 9 GB recommended, and 18 GB to run at full FP16 precision.
Can FLUX.2 Klein 9B run on 8 GB of VRAM (e.g. NVIDIA RTX 4060)?
On the NVIDIA RTX 4060: yes, in GGUF Q4 (rating B, good).
Can FLUX.2 Klein 9B run on the NVIDIA RTX 3060 (12 GB)?
Yes, in GGUF Q4 (rating B, good).
Which GPUs can run FLUX.2 Klein 9B?
78 of the 78 GPUs we track can run it, and 44 run it well (rating B or better). The cheapest one that runs it well is the NVIDIA RTX 5060 (8 GB, about $299).
Does FLUX.2 Klein 9B work on AMD or Apple Silicon?
19 AMD Radeon and 20 Apple Silicon chips in our list can run it. There is no MPS backend, so it may not work on Apple Silicon.