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Wan 2.1 video transformation | ST Studio

Resources/Wan 2.1 video transformation

Published version

Version details

Add to Studio keeps this exact version. Updates won’t replace your saved copy.

PipeListedHosted

Wan 2.1 video transformation

Generate a silent, prompt-guided video conditioned on an uploaded source video using the fixed Wan 2.1 VACE 14B model.

Generate a silent, prompt-guided video conditioned on an uploaded source video using the fixed Wan 2.1 VACE 14B model.

Workflow details

FamilyWanResolution1024x1024Estimated VRAMNot yet characterizedPublisherSweet Tea AutomationUpdatedOct 22Bgrade

Runtime profile

Publisher: Sweet Tea Automation
Status: Listed
Version

Sources

1 source

Sweet TeaSource

Checking published version…

Updated

Oct 22, 2026

Hover nodes for Pipe controls

Core

Primary Pipe surface

Source video

LoadVideo

Input

Video prompt

CLIPTextEncode

Reference image

LoadImage

Input

Video dimensions and conditioning

WanVaceToVideo

Video playback

CreateVideo

Extended

Additional surfaced controls

Negative prompt

CLIPTextEncode

Edge guidance

Canny

CausVid LoRA

LoraLoader

Sampling

KSampler

Sampling shift

ModelSamplingSD3

Video Output

SweetTeaPreviewVideo

Output

What you need

Hardware and download-size estimates are not available yet.

Guides for this recipe

Wan 2.1 video transformation: mechanisms and practical controls

Output

Sweet Tea Preview Video · video

Requirements

Models

4

umt5_xxl_fp16.safetensors
Not resolved
Text encoder · Hugging Face · Comfy-Org/Wan_2.1_ComfyUI_repackaged
wan_2.1_vae.safetensors
Not resolved
VAE · Hugging Face · Comfy-Org/Wan_2.1_ComfyUI_repackaged

wan2.1_vace_14B_fp16.safetensors

Not resolved

Checkpoint · Hugging Face · Comfy-Org/Wan_2.1_ComfyUI_repackaged

Wan21_CausVid_14B_T2V_lora_rank32.safetensors

Not resolved

LoRA · Hugging Face · Kijai/WanVideo_comfy

Node packs

1

tea-time-labs/sweet-tea-nodes
Found
Node pack · GitHub · tea-time-labs/sweet-tea-nodes