---
title: Wan2.1 T2I GGUF
emoji: 🎨
colorFrom: blue
colorTo: indigo
sdk: gradio
sdk_version: 5.9.1
app_file: app.py
pinned: false
license: mit
---

# Wan2.1 Text-to-Image (ComfyUI GGUF Backend)

This Space runs **Wan2.1 T2I** using **ComfyUI** with **GGUF quantization** for efficiency.

## 🚀 Features
- **Model**: Wan2.2-T2V-A14B-LowNoise-Q3_K_S.gguf (Quantized for lower VRAM usage)
- **Encoder**: umt5-xxl-encoder-Q3_K_S.gguf
- **LoRA**: Wan2.1_T2V_14B_FusionX_LoRA
- **Backend**: ComfyUI (Headless) + Gradio UI

## ⚠️ Hardware Requirements
This model requires significant RAM/VRAM even in quantized form.
- **Recommended**: GPU Space (T4 or A10G).
- **Minimum**: 16GB+ System RAM (if running on CPU, which will be very slow).

## 📂 Architecture
The `app.py` script automatically:
1. Clones `ComfyUI` and `ComfyUI-GGUF` if missing.
2. Downloads the necessary models (Unet, CLIP, VAE, LoRA) from Hugging Face using `aria2` or python fallback.
3. Loads the ComfyUI nodes and serves a Gradio Interface.

## 🔗 Credits
- [ComfyUI](https://github.com/comfyanonymous/ComfyUI)
- [ComfyUI-GGUF](https://github.com/city96/ComfyUI-GGUF)
- Models by [QuantStack](https://huggingface.co/QuantStack), [City96](https://huggingface.co/city96), [Comfy-Org](https://huggingface.co/Comfy-Org), and [vrgamedevgirl84](https://huggingface.co/vrgamedevgirl84).