v1.2.41 Z-image-lora-trainer

[imprsnst]

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

• Z image lora trainer by @imprsnst in Z image lora trainer #13

Full Changelog: v1.2.31...v1.2.41

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This discussion was created from the release v1.2.41 Z-image-lora-trainer.