FLUX.1 models
5 FLUX.1 models on Hugging Face, from 347M to 11.9B parameters. At the precision each one is published in, the smallest needs about 0.8 GB of VRAM (FLUX.1-Turbo-Alpha, cheapest live fit: RTX 5060 Ti) and the largest about 26.6 GB (FLUX.1-dev, cheapest live fit: RTX 4080 Super). The cheapest way to run FLUX.1-Turbo-Alpha is $0.110/hr.
FLUX.1 models
| Model | Parameters | Published as | VRAM needed | Live GPU fit | Est. $/hr |
|---|---|---|---|---|---|
| FLUX.1-Turbo-Alpha | 347M | BF16 | 0.8 GB | RTX 5060 Ti | $0.110/hr |
| FLUX.1-schnell | 11.9B | BF16 | 26.6 GB | RTX 4080 Super | $0.338/hr |
| FLUX.1-dev | 11.9B | BF16 | 26.6 GB | RTX 4080 Super | $0.338/hr |
| FLUX.1-Kontext-dev | 11.9B | BF16 | 26.6 GB | RTX 4080 Super | $0.338/hr |
| FLUX.1-Krea-dev | 11.9B | BF16 | 26.6 GB | RTX 4080 Super | $0.338/hr |
VRAM is for the precision the model is published in, with the same overhead and an 8,192-token context assumed on every page; see the methodology. The fit shown is the lowest-priced single GPU type that holds the model at that precision, or the lowest-priced multi-GPU set (up to 8) when none does.
More from Black Forest Labs
- FLUX.2 (5 models)
