Version 0.2.13

Highlights

• Support for Qwen-Image-Edit-2509: This release introduces support for the Qwen-Image-Edit-2509 model, enabling training and inference with multiple control images for more complex image editing tasks. (in #590)
• Reduced VRAM Usage for Block Swap: The shared VRAM usage for the block swap feature has been significantly reduced on Windows. (in #585)
• Dataset Handling Fix: A bug has been fixed where the first data item of each epoch was being handled incorrectly. This ensures that all data is processed properly throughout the epoch. (in #601)

What's Changed

• feat: add option to force 2.1 style time embedding in WanModel by @kohya-ss in #586
• doc: Wan update offloading instructions for DiT model on Windows by @kohya-ss in #597
• feat: Add flag to disable cuDNN PyTorch backend when caching by @xzuyn in #592
• Free VRAM for lazy loading in batch prompt mode by @JCBrouwer in #593
• doc: update dataset configuration for control images with mask by @kohya-ss in #600
• feat: Add support for Qwen-Image-Edit-2509 by @kohya-ss in #590
• fix: Qwen-Image-Edit (not 2509) incorrect prompt for VLM. by @kohya-ss in #606
• fix: Qwen-Image-Edit-2509 cannot handle arbitrary number of control images by @kohya-ss in #613
• Fix Prodigy optimizer logs by @wenyifancc in #623
• feat: Reducing shared VRAM usage for block swap by @kohya-ss in #585
• Organizing document structure by @kohya-ss in #630
• fix: first data of the epoch from dataset is inappropriate by @kohya-ss in #601
• chore: bump version to 0.2.13 by @kohya-ss in #631

New Contributors

• @JCBrouwer made their first contribution in #593
• @wenyifancc made their first contribution in #623

Full Changelog: v0.2.12...v0.2.13