workflow-templates-broken-zap-2026-06-08/site/knowledge/models/svd.md

Stable Video Diffusion

Stable Video Diffusion (SVD) is Stability AI's image-to-video diffusion model that generates short video clips from a single conditioning image. In user studies, SVD was preferred over GEN-2 and PikaLabs for video quality.

Model Variants

SVD-XT (25 frames)

• Generates 25 frames at 576x1024 resolution
• Finetuned from the 14-frame SVD base model
• Includes temporally consistent f8-decoder
• Standard frame-wise decoder also available

SVD (14 frames)

• Original release generating 14 frames
• Foundation for community fine-tunes and extensions
• Same 576x1024 native resolution

Key Features

• Image-to-video generation from a single still image
• Temporally consistent video output with finetuned decoder
• Preferred over GEN-2 and PikaLabs in human evaluation studies
• SynthID-compatible watermarking enabled by default
• Latent diffusion architecture for efficient generation

Hardware Requirements

• Minimum: 16GB VRAM
• Recommended: A100 80GB for full quality (tested configuration)
• SVD generation ~100s, SVD-XT ~180s on A100 80GB
• Optimizations available for lower VRAM cards with quality tradeoffs

Common Use Cases

• Animating still images into short video clips
• Product visualization and motion graphics
• Creative video experiments and art
• Research on generative video models

Key Parameters

• num_frames: 14 (SVD) or 25 (SVD-XT)
• resolution: 576x1024 native
• conditioning_frame: Input image at same resolution
• duration: Up to ~4 seconds (25 frames)

Limitations

• Short videos only (4 seconds maximum)
• No text-based control (image conditioning only)
• Cannot render legible text in output
• Faces and people may not generate properly
• May produce videos without motion or with very slow camera pans