32 GB VRAM · Q4 native Amazon
RTX 5090
Vorteile
- Runs Flux.1 Schnell at Q4 natively
- 32 GB VRAM — adequate headroom
Local Engine Ready
Flux.1 Schnell
27 consumer GPUs can run Flux.1 Schnell at Q4 natively. Precise VRAM thresholds and benchmarks below.
27 Compatible GPUs
12 with offloading
12B params
Top pick
RTX 5090 · 32 GB VRAM runs Q4 natively
Prices and availability may change · affiliate link
Javier Morales AI hardware specialist — 8 years of experience
GitHub: github.com/javier-morales-ia
llama.cpp 0.2.x · CUDA 12 · ROCm 6 · updated monthly · methodology →
Execution Context
ARCHITECTURE TRANSFORMER
QUANTIZATION 4-BIT GGUF
PROVIDER Black Forest Labs
LICENSE Apache-2.0
VRAM REQUIREMENT
12 GB
4GB 8GB 12GB 16GB 24GB+
Hardware Decision
This model requires aMid-range GPU (16 GB VRAM)
Compatible GPUs for Flux.1 Schnell
Best picks by compatibility, VRAM headroom, and value — prices and availability may change.
24 GB VRAM · Q4 native Amazon
RTX 4090
Vorteile
- Runs Flux.1 Schnell at Q4 natively
- 24 GB VRAM — adequate headroom
128 GB VRAM · Q4 native Amazon
M4 Ultra
Vorteile
- Runs Flux.1 Schnell at Q4 natively
- 128 GB VRAM — adequate headroom
Einige Links sind Amazon-Partnerlinks. Wir koennen ohne Mehrkosten fuer Sie eine Provision erhalten. Amazon-Cookies koennen nach Ihrem Klick bis zu 24 Stunden bestehen.
How to run this model
Check if your GPU can run Flux.1 Schnell →
VRAM Calculator — instant compatibility check
RTX 5090
32 GB · Runs Q4 natively · Check availability
*Prices and availability may change. Some links are affiliate links.
System Requirements
GPU VRAM 12 GB Mid-range GPU
System RAM 18 GB
32 GB recommended
Storage 7 GB Q4 · SSD recommended
CPU Any modern CPU GPU required
VRAM by Quantization
| Quantization | VRAM needed | Disk space | Quality |
|---|---|---|---|
| FP16 (max quality) | 24 GB | 24 GB | Maximum |
| Q8 (high quality) | 16 GB | 12 GB | Near-lossless |
| Q4 (recommended) Best balance | 12 GB | 7 GB | Recommended |
| Q2 (minimum) | 8 GB | 4 GB | Quality loss |
Model Details
| Developer | Black Forest Labs |
| Parameters | 12B |
| License | Apache-2.0 |
| Use cases | image |
| Released | 2024-08 |
Hugging Face
black-forest-labs/FLUX.1-schnell Technical Requirements
Can your GPU run Flux.1 Schnell?
Flux.1 Schnell requires <strong class="text-primary-container">12 GB VRAM</strong> at Q4. 27 consumer GPUs meet this threshold. Below 8 GB or 10 GB you'll hit significant offload latency.
8GB Critical min
12GB Optimal Q4
16GB High Quality Q8
24GB Max FP16
Hardware Performance Matrix
27 Q4 native · 12 offload
| GPU Unit | VRAM | Compatibility | Est. Speed | Action |
|---|---|---|---|---|
| RTX 5090 | 32GB | Optimal | 84 tok/s | Calculate → |
| RTX 4090 | 24GB | Optimal | 47 tok/s | Calculate → |
| M4 Ultra | 128GB | Optimal | 51 tok/s | Calculate → |
| RTX 5080 | 16GB | Optimal | 45 tok/s | Calculate → |
| M3 Ultra | 192GB | Optimal | 37 tok/s | Calculate → |
| RTX 4080 Super | 16GB | Optimal | 34 tok/s | Calculate → |
| RTX 5070 Ti | 16GB | Optimal | 42 tok/s | Calculate → |
| RTX 3090 | 24GB | Optimal | 44 tok/s | Calculate → |
| M4 Max 48GB | 48GB | Optimal | 25 tok/s | Calculate → |
| RX 7900 XTX | 24GB | Optimal | 45 tok/s | Calculate → |
| M4 Max 36GB | 36GB | Optimal | 25 tok/s | Calculate → |
| RTX 4070 Ti Super | 16GB | Optimal | 31 tok/s | Calculate → |
| RTX 3080 Ti | 12GB | Optimal | 33 tok/s | Calculate → |
| RX 7900 XT | 20GB | Optimal | 37 tok/s | Calculate → |
| RTX 5070 | 12GB | Optimal | 31 tok/s | Calculate → |
| M4 Pro | 24GB | Optimal | 13 tok/s | Calculate → |
| RX 7800 XT | 16GB | Optimal | 29 tok/s | Calculate → |
| RX 6800 XT | 16GB | Optimal | 20 tok/s | Calculate → |
| RTX 4070 | 12GB | Optimal | 20 tok/s | Calculate → |
| RTX 4060 Ti 16GB | 16GB | Optimal | 13 tok/s | Calculate → |
| RX 7700 XT | 12GB | Optimal | 18 tok/s | Calculate → |
| RX 6700 XT | 12GB | Optimal | 13 tok/s | Calculate → |
| M3 Pro | 18GB | Optimal | 7 tok/s | Calculate → |
| RTX 3060 | 12GB | Optimal | 17 tok/s | Calculate → |
| M2 Pro | 16GB | Optimal | 9 tok/s | Calculate → |
| Arc A770 16GB | 16GB | Optimal | 8 tok/s | Calculate → |
| M1 Pro | 16GB | Optimal | 9 tok/s | Calculate → |
| RTX 3080 | 10GB | Offload | 35 tok/s | Calculate → |
| RTX 3070 Ti | 8GB | Offload | 23 tok/s | Calculate → |
| RTX 4060 Ti | 8GB | Offload | 19 tok/s | Calculate → |
| RTX 3070 | 8GB | Offload | 19 tok/s | Calculate → |
| RTX 3060 Ti | 8GB | Offload | 18 tok/s | Calculate → |
| RTX 2080 Ti | 11GB | Offload | 16 tok/s | Calculate → |
| RTX 4060 | 8GB | Offload | 14 tok/s | Calculate → |
| RX 7600 | 8GB | Offload | 12 tok/s | Calculate → |
| RX 6600 XT | 8GB | Offload | 12 tok/s | Calculate → |
| Arc A750 8GB | 8GB | Offload | 9 tok/s | Calculate → |
| RX 6600 | 8GB | Offload | 10 tok/s | Calculate → |
| RTX 3050 8GB | 8GB | Offload | 9 tok/s | Calculate → |
Recommended GPUs for Flux.1 Schnell
Reale Benchmarks
Keine bezahlten Reviews
Redaktionelle Auswahl
Datenbasiert
Best picks by compatibility, VRAM headroom, and value — prices and availability may change.
RTX 5090
32 GB VRAM
Q4 native
Check availability →
RTX 4090
24 GB VRAM
Q4 native
Check availability →
M4 Ultra
128 GB VRAM
Q4 native
Check availability →
Einige Links sind Amazon-Partnerlinks. Wir koennen ohne Mehrkosten fuer Sie eine Provision erhalten. Amazon-Cookies koennen nach Ihrem Klick bis zu 24 Stunden bestehen.
Flux.1 Schnell — Compatibility guide
Flux.1 Schnell needs intermediate hardware or Q4 quantization to run on consumer GPUs. With 12 GB VRAM you get the best quality. Use the VRAM calculator to see which quantization your GPU supports.
Compare GPUs for Flux.1 Schnell
Which GPU is worth it? Real specs and benchmarks side by side.
Compatible Hardware
GPUs that run Flux.1 Schnell at Q4 — sorted by AI performance score.
Reale Benchmarks
Keine bezahlten Reviews
Datenbasiert
Einige Links sind Amazon-Partnerlinks. Wir koennen ohne Mehrkosten fuer Sie eine Provision erhalten. Amazon-Cookies koennen nach Ihrem Klick bis zu 24 Stunden bestehen.
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Not sure which GPU you need for Flux.1 Schnell?
The VRAM Calculator tells you exactly which quantization your hardware can handle.
RTX 5090
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