What GPU do I need to run Lightricks/LTX-Video-0.9.5?

1.9B parameters, published in BF16. View on Hugging Face

1.9B
Parameters
BF16
Native precision
Unknown
Architecture
text-to-video
Pipeline

LTX-Video-0.9.5 is published by Lightricks on Hugging Face, with 16,996 downloads and 32 likes to date. It's a unlisted-architecture model built for text-to-video, published natively in BF16.

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.

Precision
Weight size
Required VRAM
Cheapest live fit
GPUs needed
Est. $/hr (full fit)
BF16
3.6 GB
4.3 GB
RTX 3070 (simplepod)
1
$0.050/hr
FP8 (quantized)
1.8 GB
2.1 GB
RTX 4070 (simplepod)
1
$0.080/hr
INT4 (quantized)
0.9 GB
1.1 GB
RTX 3070 (simplepod)
1
$0.050/hr

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 LTX-Video-0.9.5 at its published (BF16) precision: 1× RTX 3070 on simplepod, at $0.050/hr per GPU ($0.050/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.

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