Qwen-Image-2.1 ComfyUI Native Workflow Example

Run Qwen-Image-2.1 in ComfyUI: one model for image generation and editing, native 2K output, professional typography, and alpha channel support.

Qwen-Image-2.1 is the latest open-weight release in the Qwen-Image series from Alibaba’s Qwen team. A single model covers both text-to-image generation and instruction-based image editing, with native 2K output, professional typography, and an alpha channel for transparent backgrounds.

Key Features:

• Generation and editing in one model: the same weights serve text-to-image prompts and editing instructions, so a workflow does not need to swap checkpoints
• Native 2K output: generate at up to 2048x2048 directly instead of upscaling a smaller result
• Professional typography: dense small text and complex layouts hold up, for infographics, slides, UI mockups, posters, and packaging designs
• Alpha channel support: the VAE carries four channels, so transparent-background images can be generated and edited directly instead of being cut out afterwards
• Multi-image editing: reference images are spliced into the text encoder in slot order. The node exposes image_1 through image_16 slots, and the prompt addresses them by index, for example image_1 is written as <image1>
• Localized edits: describe the object or region to change and the rest of the image is preserved

Related Links:

• GitHub Repository
• Hugging Face (Comfy-Org/Qwen-Image-2.1)
• Qwen Image 2.1 on Comfy

Qwen-Image-2.1 workflow

Local users

Make sure your ComfyUI is updated.

• Download ComfyUI
• Update Guide

Workflows in this guide can be found in the Workflow Templates. If you can’t find them in the template, your ComfyUI may be outdated.

If nodes are missing when loading a workflow, possible reasons:

1. You are not using the latest ComfyUI version (Nightly version)
2. Some nodes failed to import at startup

Cloud users

• Cloud will update after ComfyUI stable release.

So, if you find any core node missing in this document, it might be because the new core nodes have not yet been released in the latest stable version. Please wait for the next stable release.

Qwen Image 2.1 Text to Image

Generate an image from a text prompt at the aspect ratio and megapixel target you select.

Download Workflow

Download JSON or search “Qwen-Image-2.1” in Template Library

Run on Comfy Cloud

Run ComfyUI online with zero setup

Example output

Qwen Image 2.1 Image Edit

Edit an image with an instruction. Add reference images when the edit needs content that is not in the source image, such as putting a garment from a second photo onto the person in the first.

Download Workflow

Download JSON or search “Qwen-Image-2.1” in Template Library

Run on Comfy Cloud

Run ComfyUI online with zero setup

Input materials

Upload these files to the matching LoadImage nodes:

portrait_model_denim.png

LoadImage node 470 · portrait_model_denim.png

clothing_light_blue_denim_shirt.png

LoadImage node 475 · clothing_light_blue_denim_shirt.png

Example output

Remove Background: Qwen Image 2.1

Remove the background from a photo with an edit instruction. The workflow reuses the image edit subgraph with the prompt Remove the background, and output a PNG image, then compares the result with the original.

Download Workflow

Download JSON or search “Qwen-Image-2.1” in Template Library

Run on Comfy Cloud

Run ComfyUI online with zero setup

Input materials

Upload this file to the matching LoadImage node:

angry_broccoli.png

LoadImage node 470 · angry_broccoli.png

Model links

The three workflows load the same files. All of them use the int8 versions of the diffusion model and the text encoder by default.

text_encoders

• qwen3vl_8b_int8_convrot.safetensors (loaded by the templates, lower memory)
• qwen3vl_8b_bf16.safetensors (full precision, needs more memory)

diffusion_models

• qwen_image_2.1_int8_convrot.safetensors (loaded by the templates, lower memory)
• qwen_image_2.1_bf16.safetensors (full precision, needs more memory)

vae

• qwen_image_2.1_vae_bf16.safetensors

Model Storage Location

📂 ComfyUI/
├── 📂 models/
│   ├── 📂 text_encoders/
│   │      ├── qwen3vl_8b_int8_convrot.safetensors
│   │      └── qwen3vl_8b_bf16.safetensors
│   ├── 📂 diffusion_models/
│   │      ├── qwen_image_2.1_int8_convrot.safetensors
│   │      └── qwen_image_2.1_bf16.safetensors
│   └── 📂 vae/
│          └── qwen_image_2.1_vae_bf16.safetensors

Workflow settings

Sampler settings

All three workflows sample with steps 25, cfg 1, the euler sampler, and the simple scheduler.

Resolution

Text to image: the Resolution Selector node sets the aspect ratio and a megapixel target, where 1.0 MP is about 1024x1024. Qwen-Image-2.1 generates natively at 2K, so set the target to about 4.0 MP for a 2048x2048 square output.

Image edit: the output follows the first reference image’s aspect ratio, scaled to about resolution x resolution pixels (default 1024). Set resolution to 0 to keep each reference image at its own size. Turn on custom_size to use the Resolution Selector canvas instead, and keep it close to the resized reference size, otherwise the edit can shift.

Prompting for image edit

Reference images are spliced into the text encoder in slot order, and the prompt addresses each one by index:

Keep the character and pose in <image1> unchanged, put this light blue denim shirt from <image2> on the character, preserve the original facial features, hair, body shape and pose

KV cache

The edit workflows include the Qwen Image 2.1 Cache node, which keeps the cached text and reference prefix in memory between sampling steps. The template defaults work for most setups.