kandinskylab models
2 kandinskylab models on Hugging Face, from 30.1B to 30.1B parameters. At the precision each one is published in, the smallest needs about 67.4 GB of VRAM (Kandinsky-6.0-Pro-5s-Diffusers, cheapest live fit: A100) and the largest about 67.4 GB (Kandinsky-6.0-Pro-distill-5s-Diffusers, cheapest live fit: A100). The cheapest way to run Kandinsky-6.0-Pro-5s-Diffusers is $1.31/hr.
kandinskylab models
| Model | Parameters | Published as | VRAM needed | Live GPU fit | Est. $/hr |
|---|---|---|---|---|---|
| Kandinsky-6.0-Pro-5s-Diffusers | 30.1B | BF16 | 67.4 GB | A100 | $1.31/hr |
| Kandinsky-6.0-Pro-distill-5s-Diffusers | 30.1B | BF16 | 67.4 GB | A100 | $1.31/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.
