Deploy FLUX.2 Klein
ImageFLUX.2 Klein is the fastest model in the Flux family. The 9B FP8 variant delivers sub-second generation in 4 steps, while the 4B model is fully open source under Apache 2.0 and runs on consumer GPUs.
Deploy FLUX.2 Klein in minutes
Starting at $0.53/hr on dedicated GPU
Available Variants (3)
| Model | GPU | VRAM | Price | Action |
|---|---|---|---|---|
FLUX.2 Klein 9B FP8 9B FP8 (Recommended) | L4 | 24 GB | $0.53/hr | Deploy |
FLUX.2 Klein 4B 4B (Apache 2.0) | L4 | 24 GB | $0.53/hr | Deploy |
FLUX.2 Klein 9B Base 9B Base (Undistilled) | L4 | 24 GB | $0.53/hr | Deploy |
Prices include the service fee. Charges follow actual running time.
Requirements
ModelPilot assigns a 24GB cloud GPU to this deployment. Actual local VRAM requirements vary with model variant, precision, quantization, resolution, and workflow settings.
On ModelPilot, deploy on a dedicated cloud GPU (up to 80GB VRAM) starting at $0.53/hr with no setup required.
Compare FLUX.2 Klein
Source-backed GPU, VRAM, and cost comparisons for nearby deployment choices.
Qwen Image 2512 (Latest) vs FLUX.2 Klein 9B FP8 (Recommended)
Compare FLUX.2 Klein 9B FP8 (Recommended) against Qwen Image 2512 (Latest) by GPU tier, VRAM, and base hourly cost.
FLUX.2 Klein 9B FP8 (Recommended) vs FLUX.2 Klein 4B (Apache 2.0)
Compare FLUX.2 Klein 9B FP8 (Recommended) and FLUX.2 Klein 4B (Apache 2.0) variants by GPU tier, VRAM, and base hourly cost.
FLUX.2 Klein 9B FP8 (Recommended) vs FLUX.2 Klein 9B Base (Undistilled)
Compare FLUX.2 Klein 9B FP8 (Recommended) and FLUX.2 Klein 9B Base (Undistilled) variants by GPU tier, VRAM, and base hourly cost.
Use Cases
- ✓Sub-second image generation
- ✓Real-time AI applications
- ✓Consumer GPU deployment
- ✓Open-source commercial use (Apache 2.0)
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Frequently Asked Questions
How much GPU memory is allocated for FLUX.2 Klein?
The listed ModelPilot deployment uses a 24GB cloud GPU. Local memory needs can vary with precision, quantization, and workflow settings.
How much does it cost to run FLUX.2 Klein?
Starting at $0.53/hr on a dedicated GPU. Charges are calculated from actual running time, with auto-stop when credits run out.
How long does FLUX.2 Klein take to deploy?
Most deployments complete in 10–20 minutes including model download and environment setup.
Can I run FLUX.2 Klein on my local GPU?
It depends on the selected variant, precision, quantization, and workflow settings. Compare the variants below with your available VRAM; the table shows ModelPilot's cloud GPU allocation, not a universal local minimum.
Ready to deploy FLUX.2 Klein?
Pick your GPU and have it running in minutes. No infrastructure setup required.