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VACE CONTROLNET simple workflow WAN2.1 | GGUF | LoRA | UPSCALE

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Updated: Jun 3, 2025

toolcontrolnetwanwan2.1vace

Type

Workflows

Stats

1,000

0

Reviews

Published

May 29, 2025

Base Model

Wan Video 14B i2v 720p

Hash

AutoV2
D77D00BB78
Comfy Workflow Badge
UmeAiRT's Avatar

UmeAiRT

This workflow allows you to retrieve the movements of a video via controlnet (pose/canny or depth) and create a new video from an image of your choice with this movement.

Resources you need:

๐Ÿ“‚Files :

Recommendation :
>24 gb Vram: base or Q8_0
16 gb Vram: Q5_K_S
<12 gb Vram: Q4_K_S

For base version
VACE Model: wan2.1_vace_14B_fp8_e4m3fn.safetensors or wan2.1_vace_1.3B_fp16.safetensors
In models/diffusion_models

For GGUF version
FUN Quant Model: Wan2.1-VACE-14B-QX_0.gguf
In models/diffusion_models

CLIP: umt5_xxl_fp8_e4m3fn_scaled.safetensors
in models/clip

VAE: wan_2.1_vae.safetensors
in models/vae

LORA: Wan21_CausVid_14B_T2V_lora_rank32.safetensors
in models/lora

ANY upscale model:

in models/upscale_models

๐Ÿ“ฆCustom Nodes :