What GPU do I need to run John6666/janku-v5-nsfw-trained-noobai-rou-wei-illustrious-xl-v50-sdxl?
2.6B parameters, published in F16. View on Hugging Face
janku-v5-nsfw-trained-noobai-rou-wei-illustrious-xl-v50-sdxl is published by John6666 on Hugging Face, with 101,749 downloads and 14 likes to date. It's a unlisted-architecture model built for text-to-image, published natively in F16.
VRAM required & cheapest live GPU fit
Required VRAM = weight size at each precision, plus a fixed overhead for activation memory and allocator fragmentation. Diffusion and video models carry no KV-cache — the real driver of extra memory is output resolution and frame count, which this flat overhead does not model. Full formula and assumptions: methodology.
A GPU is only matched to a row if its hardware supports that precision, and the primary recommendation is always a single-GPU fit when one exists.
INT4 caveat: requires a quantized checkpoint actually published for this model — check its Hugging Face page before relying on this row.
Cheapest way to run janku-v5-nsfw-trained-noobai-rou-wei-illustrious-xl-v50-sdxl at its published (F16) precision: 1× P4 on akash, at $0.032/hr per GPU ($0.032/hr total). Quantizing to FP8 or INT4 (rows above) can cost less, but requires a compatible quantized checkpoint to exist for this model.
Weight-to-VRAM math, the fit rules, and how live prices are normalized: full methodology.
More John6666 models
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- amanatsu-illustrious-v11-sdxl (2.6B, F16)
- diving-illustrious-real-asian-v50-sdxl (2.6B, F16)
- obsession-illustriousxl-v10-sdxl (2.6B, F16)
- hassaku-xl-illustrious-v31-sdxl (2.6B, F16)
