Engines

Launch Qwen-Image_ComfyUI Uncensored Edition

Launch Qwen-Image_ComfyUI Uncensored Edition

The fastest tactical way to launch this model locally is via a Docker image.

Check out the detailed setup guide below to begin.

The system automatically triggers a cloud download for all heavy weights.

There is no manual tuning required; the builder deploys the best matching configuration.

📄 Hash Value: a74b374cd3e4ecb2aa5a143e991c1614 | 📆 Update: 2026-06-25



  • Processor: 6-core 3.5 GHz minimum required
  • RAM: at least 32 GB in dual-channel mode for bandwidth
  • Disk Space: 100 GB for multi-modal model vision components
  • GPU: modern architecture (Ada Lovelace / Ampere minimum)

Qwen-Image_ComfyUI is a state-of-the-art diffusion model designed to generate high‑fidelity images from textual prompts within the ComfyUI workflow. It leverages advanced cross‑attention mechanisms and a refined noise schedule to produce detailed textures and accurate composition. Trained on a diverse dataset of millions of image‑text pairs, the model excels in both realism and artistic style interpretation. Key technical specifications are summarized below:

Model Type Diffusion-based image generator
Input Resolution 1024×1024 pixels
Parameter Count 1.5B
Training Data Public image‑text datasets
Inference Speed ~0.2 seconds per image

Its integration with ComfyUI’s node‑based interface ensures seamless pipeline customization, making it a powerful tool for artists, developers, and researchers alike.

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