【WAN】TXT to IMAGE

✨ WAN2.1 — Text to image — Simple Workflow

A clean, all-in-one WAN text-to-image workflow built entirely with the UmeAiRT Toolkit for ComfyUI.
Only 10 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:

1. Open ComfyUI

2. Go to Settings (⚙️ icon, bottom-left)

3. Find "Use Nodes V2 (Vue)" and toggle it ON

4. Refresh the page

5. Load the workflow

If you prefer the classic interface, check out my Legacy version of this workflow instead (link).

🎯 Features

• Text-to-Image 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:

👉 ComfyUI-UmeAiRT-Toolkit

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)

For base version
T2V Model: fp16, fp8
In models/diffusion_models

For GGUF version
T2V Quant Model: Q8, Q5, Q3
In models/diffusion_models

Common files :
CLIP: umt5_xxl_fp8_e4m3fn_scaled.safetensors
in models/clip

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

Speed LoRA: lightx2v_T2V_14B_cfg_step_distill_v2_lora_rank64_bf16.safetensors
in models/loras

ANY upscale model:

• Realistic : RealESRGAN_x4plus.pth

• Anime : RealESRGAN_x4plus_anime_6B.pth

in models/upscale_models