✨ WAN2.1 — StartEndFrames — Simple Workflow
A clean, all-in-one WAN image-to-video workflow built entirely with the UmeAiRT Toolkit for ComfyUI.
Only 12 nodes. No spaghetti wires. Just load your model, write your prompt, and hit generate.
⚠️ IMPORTANT — Nodes 2.0 Required
This workflow is built for the Nodes 2.0 (Vue) interface of ComfyUI. If you don't enable it, the workflow may have display problems.
How to activate Nodes 2.0:
Open ComfyUI
Go to Settings (⚙️ icon, bottom-left)
Find "Use Nodes V2 (Vue)" and toggle it ON
Refresh the page
Load the workflow
If you prefer the classic interface, check out my Legacy version of this workflow instead (link).
🎯 Features
Text-to-video generation
Automatic download of models in auto version
Built-in SeedVR2 upscaler — high-quality tiled upscaling (toggleable on/off) Slower than a classic upscaler, but significantly better quality
Full metadata embedding — your images are saved with all generation parameters, ready for online publishing and remixing
3 LoRA slots — with individual on/off toggles and strength control and you can connect as many other lora modules to each other for as many LoRA as you want.
📦 Custom Node Required
Only one custom node to install:
Install via ComfyUI Manager (search "UmeAiRT") or use the UmeAiRT Auto-Installer.
The Toolkit packages everything internally — upscaler, face detailer, metadata saver. No other custom nodes needed.
📂 Files you need (in manual version)
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
CLIP: umt5_xxl_fp8_e4m3fn_scaled.safetensors
in models/clip
For GGUF version
VACE Quant Model: Wan2.1-VACE-14B-QX_0.gguf
In models/diffusion_models
Quant CLIP: umt5-xxl-encoder-QX.gguf
in models/clip
VAE: wan_2.1_vae.safetensors
in models/vae
ANY upscale model (depreciated):
Realistic : RealESRGAN_x4plus.pth
Anime : RealESRGAN_x4plus_anime_6B.pth
in models/upscale_models
Description
What's new? :
ComfyUi 0.3.29 positive node fix,
LoRA fix with torch compile.
FAQ
Comments (14)
What am I doing wrong?
When loading the graph, the following node types were not found
UpscalerTensorrt
LoadUpscalerTensorrtModel
CFGZeroStarAndInit seems to have disappeared?
I keep getting this error whenever I change the default fames value Node ID:** 374 - Node Type: WanImageToVideo_F2 - Exception Type: RuntimeError - Exception Message: shape '[1, 16, 4, 128, 90]' is invalid for input of size 771840
It seems the WanImageToVideo Node length parameter has to be 1:1 with the value in the Frames node. It's supposed to the same but something is making it different. I set my frames to whatever I want (i.e. 120) and then disconnect the link on the WanImageToVideo node to set 'length' to match the frames value (120), but for some reason it rounds to 121, so right-click the Frames node to set the frames value to 121, then it works.
WanImageToVideo_F2 node is missing, i installed everything right
The missing node comes from this package:
https://github.com/Flow-two/ComfyUI-WanStartEndFramesNative
You also can find it in the manager. My guess is that they changed something since this workflow has been made.
Possible to combine this one with regular I2V workflow? For example, so that one could simply bypass the end frame node and the workflow would act as I2V, instead of start2end frame?
Would be convenient to have it as one workflow.
Конечно можно. просто скопируйте в свой рабочий процесс нужные группы. из i2v с помощью get setnode в процесс Loop отдавайте секвенцию после декодера
Is it normal for this to take much longer than the standard I2V workflow? All settings being equal
Anyone know how to fix the flashing issue at the end of the generated videos?
same problem