FLUX.1-schnell
Will it run on your hardware?
Pick your GPU memory - see which quantizations fit, and the cheapest card for the rest
Need an exact figure for your context length? Use the VRAM calculator.
Run it locally
Copy-paste - running in under a minute
vllm serve black-forest-labs/FLUX.1-schnellNew to this? Start with Ollama · serve to many users with vLLM.
Deep dive
Notes, sources, and the full write-up
FLUX.1-schnell is an open-weight image generation model from black-forest-labs, published on Hugging Face in July 2024. It has 11.9B parameters and is released under the apache-2.0 license.
HardwareLink to this section
At full FP16 precision the weights need about 24 GB of memory; 8-bit quantization brings that to roughly 13 GB. Check the VRAM tiers above to see which GPUs fit it.
PopularityLink to this section
FLUX.1-schnell had 275,676 downloads on Hugging Face in the last month and has 6,725 likes.
Run it locallyLink to this section
The weights are on Hugging Face and load with Hugging Face Diffusers (or ComfyUI). Follow the model card for the exact setup and license terms.
Frequently asked
Quick answers to common questions
How much VRAM does FLUX.1-schnell need?
FLUX.1-schnell with 11.9B parameters needs approximately 7 GB at Q4_K_M quantization. Use our VRAM calculator for an exact estimate.
Is FLUX.1-schnell better than other black-forest-labs models?
FLUX.1-schnell has 11.9B parameters with 8,192 context - a strong choice for image-generation.
What license is FLUX.1-schnell under?
FLUX.1-schnell is released under the apache-2.0 license, making it suitable for most commercial and personal projects.
What hardware runs FLUX.1-schnell well?
With 11.9B parameters, FLUX.1-schnell requires adequate VRAM. High-end GPUs like the RTX 4090 (24GB), RTX 5090 (32GB), or Mac Studio with unified memory are good options. Check our hardware directory for specific recommendations.
What is the best quantization for FLUX.1-schnell?
Q4_K_M is the recommended sweet spot - ~98% of FP16 quality at ~27% of the size. Q5_K_M (~8 GB) is an option if you have spare VRAM. Use our VRAM calculator to compare.
What models compete with FLUX.1-schnell?
FLUX.1-schnell competes with other models in its class. Browse our model directory for comparisons, benchmarks, and community reviews to find the best fit.
Nearby options
Similar models and compatible hardware by spec