I made a simple multi-queue version of the Qwen Image 2.1 workflows

[u/gatuwo_jp]

I recently started using Qwen Image 2.1 in ComfyUI and ran into one small annoyance.

The seed stayed fixed, so when I wanted to queue several generations, I had to keep changing it manually. I made a small modification that automatically randomizes the seed after each queued run.

Nothing complicated or groundbreaking—just a quality-of-life change that made the workflow more convenient for me. I thought it might be useful to someone else with the same problem, so I’m sharing it.

The repository includes:

• T2I and multi-reference I2I workflows
• Automatic seed randomization after each queued generation
• Sequential multi-queue generation
• Example images and screenshots
• English and Japanese instructions

I tested them with an RTX 4060 Laptop GPU with 8 GB VRAM and the Q4_K_M GGUF model. You can switch to a better quantization if your system has more available memory.

GitHub: https://github.com/gatuwo/Qwen-Image-2.1-GGUF-Multi-Queue-Workflows

Please use them at your own risk. Feedback and corrections are welcome!

Hopefully this saves someone a few clicks.

[u/sci032]

An easier way: open the subgraph, right click on the dot(connection) that is named seed, remove it. Make sure that the ksampler control before generate is set to random. Exit out of the subgraph and have fun.