【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: 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-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