stabilityai models
3 stabilityai models on Hugging Face, from 568M to 1.3B parameters. At the precision each one is published in, the smallest needs about 2.5 GB of VRAM (stable-audio-3-small-sfx, cheapest live fit: V100) and the largest about 5.7 GB (stable-virtual-camera, cheapest live fit: V100). The cheapest way to run stable-audio-3-small-sfx is $0.088/hr.
stabilityai models
| Model | Parameters | Published as | VRAM needed | Live GPU fit | Est. $/hr |
|---|---|---|---|---|---|
| stable-audio-3-small-sfx | 568M | F32 | 2.5 GB | V100 | $0.088/hr |
| stable-fast-3d | 1.0B | F32 | 4.5 GB | V100 | $0.088/hr |
| stable-virtual-camera | 1.3B | F32 | 5.7 GB | V100 | $0.088/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 Stability AI
- Stable Diffusion XL (33 models)
- Stable Diffusion (9 models)
- Stable Diffusion 3 (3 models)
- StableLM (3 models)
