Qwen Image Edit 2509: Combine Multiple Images Into One Scene for Fashion, Products, Poses & more

**Prompt**: *A woman in image 1 is riding a vintage in image 2. A green trash bin in image 3 is visible beside her.*

Ever wanted to merge the perfect outfit with the ideal pose, or showcase different products all in a single, seamless scene? Whether you’re a designer looking to preview fashion combinations, a marketer building composite product showcases, or an artist bringing creative concepts to life, this workflow gives you the power to experiment freely and see instant, consistent results.

What is Qwen Image Edit 2509? Why is it better?

Qwen Image Edit 2509 lets you combine multiple images into a single scene using text prompts. Reference different images by number in your prompt-"image 1," "image 2," "image 3"-and the model places them together.

Released in September 2025 (the "2509" refers to the version and release date), this update handles complex multi-image edits better than the original Qwen. Faster processing, better alignment between elements, and more realistic results when combining different inputs.

Useful for product mockups, fashion previews, or any project where you need to merge different elements into one cohesive image.

**Prompt**: *A orange cat in image 1 and white dog in image 2 met each and greet other at the grassy place in image 3. They greet each other.*

Why settle for one-at-a-time edits, when your next masterpiece could start with everything you need, all at once?

Download Workflow

Installation guide

Download the workflow file
Open ComfyUI (local or ThinkDiffusion)
Drag the workflow file into the ComfyUI window
If you see red nodes, install missing components:

ComfyUI Manager > Install Missing Custom Nodes

ThinkDiffusion-StableDiffusion-ComfyUI-Image2Image-Qwen-Image-2509

DOWNLOAD THE FILE HERE

ThinkDiffusion-StableDiffusion-ComfyUI-Image2Image-Qwen-Image-2509.json

34 KB

Verified to work on ThinkDiffusion Build: September 29, 2025

ComfyUI v0.3.60 with the use qwen_image_edit_2509_fp8_e4m3fn.safetensors
model support

Minimum Machine Size: Ultra

Use the specified machine size or higher to ensure it meets the VRAM and performance requirements of the workflow

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Download the workflow and drag & drop it into your ComfyUI window, whether locally or on ThinkDiffusion. If you're using ThinkDiffusion, minimum requirement is the Turbo 24gb machine, but we do recommend the Ultra 48gb machine.

Custom Nodes

If there are red nodes in the workflow, it means that the workflow lacks the certain required nodes. Install the custom nodes in order for the workflow to work.

Go to the ComfyUI Manager > Click Install Missing Custom Nodes

Check the list below if there's a list of custom nodes that needs to be installed and click the install.

Required Models

For this guide you'll need to download these 4 recommended models.

1. qwen_image_edit_2509_fp8_e4m3fn.safetensors
2. Qwen-Image-Lightning-4steps-v1.0.safetensors
3. qwen_2.5_vl_7b_fp8_scaled.safetensors
4. qwen_image_vae.safetensors

Go to ComfyUI Manager > Click Model Manager

Search for the models above and when you find the exact model that you're looking for, click install, and make sure to press refresh when you are finished.

If Model Manager doesn't have them: Use direct download links (included with workflow) and upload through ThinkDiffusion MyFiles > Upload URL. Refer our docs for more guidance on this.

You could also use the model path source instead: by pasting the model's link address into ThinkDiffusion MyFiles using upload URL.

Model Name	Model Link Address	ThinkDiffusion Upload Directory
qwen_image_edit_2509_fp8_e4m3fn.safetensors	📋 Copy Path	.../comfyui/models/diffusion_models/
Qwen-Image-Lightning-4steps-v1.0.safetensors	📋 Copy Path	.../comfyui/models/lora/
qwen_2.5_vl_7b_fp8_scaled.safetensors	📋 Copy Path	.../comfyui/models/text_encoders/
qwen_image_vae.safetensors	📋 Copy Path	.../comfyui/models/vae/

Step-by-step Workflow Guide

This workflow was pretty easy to set up and runs well from the default settings. Here are a few steps where you might want to take extra note.

Steps	Recommended Nodes
1. Set the Models Set the required models as seen in the image.
2. Load the Input Image Upload your input image. You can you either 1 up to 3 images only. It works even 1 input image only and just bypassed the other node.
3. Write the Prompt Write a detailed prompt. The should designate an image < number> in the prompt. You describe whatever you want and whatever action will be.
4. Check the Sampling Settings Check the sampling settings. If you want higher quality of output you can the full model but it needs a higher machine than Ultra. You can use the fp8 model instead.
5. Check the Output Image

Insights

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I can't generate new images from scratch, the model only lets me edit or modify images that I provide as input. If I try to make complex compositional changes like switching backgrounds, inserting several new objects, or making extensive additions, I often find that the model struggles with these tasks.

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If my edits involve faces, personal data, explicit imagery, or copyrighted material, my requests might get denied or the renders might be incomplete. Sometimes, I run into limitations with supported file formats or maximum image dimensions.

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I'm aware that it can sometimes generate images with a "plasticky" or artificial AI look, especially in areas like skin, faces, or complex edits. This characteristic is a known limitation and has been discussed in the user community as an effect where the result lacks realism, often showing overly smooth textures, unnatural glossiness, or uniform surfaces that do not appear lifelike.

Examples

**Prompt**: *A woman in image 1 is holding the white in image 2. She sitting at the living room in image 3.*/

**Prompt**: *A toy robot in image 1, a toy crane in mage 2 and a shoe in image 3 are visible in the kitchen.*

**Prompt:** *A man facing front in image 1 wears the dress in image 2. He is holding a basket of colorful eggs in image 3. The background is a city street.*

Troubleshooting

Red Nodes: Install missing custom nodes through ComfyUI Manager
Out of Memory: Use smaller expansion factors or switch to Ultra machine
Poor Quality: Check input image resolution and adjust kontext strength
Visible Seams: Lower strength and ensure good prompt description

If you’re having issues with installation or slow hardware, you can try any of these workflows on a more powerful GPU in your browser with ThinkDiffusion.

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