QUANTIZATION · QWEN-IMAGE FAMILY
Qwen-Image GGUF
Understand GGUF image checkpoints, compatible ComfyUI loaders and the separate files this workflow needs.
View original model files ↗Memory and compatibility
Publisher estimates 6–8 GB VRAM for one quantization. Workload and offloading change the result.
A model download is only part of the workflow. Account for the text encoder, VAE, loader, system RAM, image resolution and offloading. We have not independently run or benchmarked this entry.
Before your first run
- Read the current repository instructions and record the exact artifact and revision.
- Use the compatible GGUF loader and required companion files from the publisher instructions.
- Start with the publisher's example configuration. Record changes and actual memory use on your device.
- Review the licenses of the weights, adapters and dependencies separately before commercial use.
License and evidence
License status is not independently verified here. The original repository is the source of current usage terms. Directory inclusion does not grant permission or guarantee compatibility.
Editorial source review: 12 October 2026. The gallery's AI-generated images are illustrations, not outputs or benchmarks from this model.