Video GenerationStable DiffusionSTABILITY

SVD-XT

stabilityai/stable-video-diffusion-img2vid-xt

Stable Video Diffusion, image-to-video 14 frames.

Parameters

1.5B

Context

8K

Downloads

340K

Likes

1.6K

Architecture

svd

View on HuggingFace

GPU Requirements

VRAM / RAM / disk estimates by quantization and usage scenario

QuantizationMinimumRecommendedProduction
FP1616bit
11.0 GB
RAM 32.0 · Disk 43.4
15.0 GB
RAM 32.0 · Disk 69.4
22.8 GB
RAM 34.3 · Disk 108.4
FP88bit
8.3 GB
RAM 32.0 · Disk 41.2
12.1 GB
RAM 32.0 · Disk 67.2
19.8 GB
RAM 32.0 · Disk 106.2
INT88bit
8.3 GB
RAM 32.0 · Disk 41.2
12.1 GB
RAM 32.0 · Disk 67.2
19.8 GB
RAM 32.0 · Disk 106.2
AWQ4bit
6.9 GB
RAM 32.0 · Disk 40.1
10.7 GB
RAM 32.0 · Disk 66.1
18.4 GB
RAM 32.0 · Disk 105.1
GPTQ4bit
7.0 GB
RAM 32.0 · Disk 40.1
10.7 GB
RAM 32.0 · Disk 66.1
18.4 GB
RAM 32.0 · Disk 105.1
GGUF4bit
7.0 GB
RAM 32.0 · Disk 40.2
10.8 GB
RAM 32.0 · Disk 66.2
18.4 GB
RAM 32.0 · Disk 105.2

GPU Recommendations

Best ValueBEST

1× RTX 5080

16 GB VRAM

$90.6/mo

≈ 1440 video-sec/GPU-h

Effective production throughput ≈ 864 video-sec/GPU-h

score 0.6733

Deploy on vast ↗
Cheapest

1× RTX 4070S Ti

16 GB VRAM

$49.5/mo

≈ 1440 video-sec/GPU-h

Effective production throughput ≈ 864 video-sec/GPU-h

score 0.6673

Deploy on vast ↗
Performance

8× RTX 5090

256 GB VRAM

$2,055/mo

≈ 100 video-sec/GPU-h

Effective production throughput ≈ 60 video-sec/GPU-h

score 0.3581

Deploy on vast ↗
Min Complexity

1× RTX 5070

12 GB VRAM

$75.2/mo

≈ 1440 video-sec/GPU-h

Effective production throughput ≈ 864 video-sec/GPU-h

score 0.6555

Deploy on vast ↗

💬 Community — real deployment experience

0 Articles · 0 Benchmarks

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GPUs that fit (single card)

RTX 4070S Ti

16 GB VRAM

$49.5

/mo · vast

RTX 4080S

16 GB VRAM

$50.0

/mo · vast

RTX 5070

12 GB VRAM

$75.2

/mo · vast

RTX 3090

24 GB VRAM

$76.5

/mo · vast

RTX 5070 Ti

16 GB VRAM

$86.3

/mo · vast

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