v1.2.41 Z-image-lora-trainer
LoRA training
Train a LoRA on your own images without leaving the app. The new Trainer tab is a second canvas: wire up the nodes, press Start, and watch it run. The finished .safetensors lands in models/loras/, where the LoRA loader node picks it up, so you can generate with it in the Studio tab straight away.
What's in it
- A training graph. Load Dataset, Caption, Train LoRA, Graph, and a connection-less Resources node for CPU/RAM/VRAM.
- Local auto-captioning over the images that need it, with per-image progress. Captions stay editable.
- Stop and resume. Stopping flushes a checkpoint first, so Resume continues from the step it left off. Runs cut short by a crash or restart are recovered the same way.
- Live feedback on the node: step counter, streaming trainer logs, and a loss curve with loss and step values on the axes.
- Datasets and Outputs tabs in the sidebar, with drag and drop image import and a list of finished LoRAs and resumable runs.
- Custom output filename for the produced LoRA.
What's Changed
Full Changelog: v1.2.31...v1.2.41