FLUX is an open-source AI model developed by Black Forest Labs. It can be deployed on-premises with the right GPU hardware for private, secure AI inference.

How much VRAM does FLUX require?

VRAM requirements for FLUX depend on the quantization level. Full-precision models need more VRAM, while quantized versions (Q4, Q5, Q8) can run on consumer GPUs. See our VRAM requirements table for specific recommendations.

Can I run FLUX locally?

Yes. FLUX can be run locally using frameworks like Ollama or vLLM. Petronella Technology Group builds GPU-accelerated workstations and servers optimized for local AI model deployment.

What GPU do I need for FLUX?

The recommended GPU depends on the model size and quantization. For smaller quantized versions, an AMD Radeon or NVIDIA RTX GPU with 16-24 GB VRAM may suffice. For full-precision or larger variants, enterprise GPUs like the AMD Instinct MI300X or NVIDIA A100 are recommended.

Does Petronella help deploy FLUX?

Yes. Petronella Technology Group provides end-to-end AI deployment services including hardware selection, system configuration, model optimization, and ongoing support. Contact us to discuss your FLUX deployment needs.

Open-Source AI Model

FLUX

Name: FLUX
Author: Black Forest Labs

Developed by Black Forest Labs

Local AI Deployment Experts 24+ Years IT Infrastructure GPU Hardware In Stock

Key Capabilities

Best-in-class image quality and prompt adherence
Superior text rendering in generated images
FLUX.1 schnell: 4-step generation for real-time use
Multiple resolutions and aspect ratios
Strong style control and consistency

VRAM Requirements by Quantization

Choose the right GPU based on your performance and quality needs.

Model / Quantization	VRAM Required
FP16	24GB
fp8	16GB

Use Cases

FLUX (12B (FLUX.1 [dev/schnell/pro])) can be deployed for enterprise AI applications including document processing, code generation, data analysis, and conversational AI. License: Apache 2.0 (schnell), FLUX.1-dev non-commercial, FLUX.1-pro API only.

Run FLUX with Petronella

PTG deploys FLUX for organizations needing the highest quality AI image generation on-premises. FLUX.1 schnell (Apache 2.0) generates images in seconds for real-time creative workflows.

Recommended Hardware

Model Size	Recommended GPU
schnell FP16	RTX 5090 (32GB) or RTX PRO 5000 (48GB)
dev FP16	RTX 5090 (32GB) or RTX PRO 5000 (48GB)
quantized	RTX 5080 (16GB)

Deploy FLUX On-Premises

Our team builds GPU-accelerated systems configured and optimized for FLUX. Private, secure, and fully under your control.

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FLUX

⚡Key Capabilities

📌VRAM Requirements by Quantization

🚀Use Cases