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Stable Video Diffusion XT in ComfyUI

25-frame image-to-video checkpoint conditioned with CLIP Vision and motion bucket ID sliders. Requires 10 GB+ VRAM and loads from models/checkpoints/.

Updated Oct 17, 2026 · 1 min read

At a glanceEntity
Model Family
Stability AI
VRAM Target
10 GB+
ComfyUI Folder
models/checkpoints/
Precision
FP16 safetensors
Default Sampler
euler + karras with SVD_img2vid_Conditioning, 25 steps

Where to place Stable Video Diffusion XT weights on Windows

25-frame image-to-video checkpoint conditioned with CLIP Vision and motion bucket ID sliders.

Place the primary `.safetensors` or `.gguf` weight file inside `models/checkpoints/` inside your ComfyUI directory, or point extra_model_paths.yaml to your existing shared models drive.

After moving the file, press **R** on the ComfyUI Studio canvas (or click Refresh) so the loader dropdown lists the new checkpoint immediately without restarting the server.

Stable Video Diffusion XT Quick Reference for ComfyUI Windows

Stable Video Diffusion XT Quick Reference for ComfyUI Windows
ParameterRecommended SettingNotes
Target Directorymodels/checkpoints/Refresh canvas with R key after copying
VRAM Tier10 GB+Use --lowvram or GGUF Q4 on 8 GB cards
Weight FormatFP16 safetensorsNever load untrusted .ckpt pickle files
Sampler Recipeeuler + karras with SVD_img2vid_Conditioning, 25 stepsWire through core KSampler node

FAQs

Which folder does Stable Video Diffusion XT go into in ComfyUI?

Put Stable Video Diffusion XT inside `models/checkpoints/` in your ComfyUI installation, then press R on the canvas to refresh node dropdowns.

Can I run Stable Video Diffusion XT on an 8 GB NVIDIA GPU?

Yes — use FP8 or GGUF Q4/Q5 weights via ComfyUI-GGUF and keep tiled VAE decoding enabled so peak VRAM stays under 8 GB.

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