Jordan Epstein has released Krea 2 LoRA Studio, a project designed to make the full Krea 2 LoRA workflow usable on a free Google Colab T4 GPU. The tool addresses memory constraints by implementing a staged workflow that manages cache preparation, training, and preview generation separately.
- Builds reusable image-latent and caption caches before initiating training in a distinct stage.
- Saves resumable checkpoints and allows downloading LoRA snapshots by step.
- Generates checkpoint previews using the compact NF4 Krea 2 Turbo model with 8 sampling steps and 512 px default resolution.
- Releases preview memory to ensure VRAM availability before continuing training.
The author is seeking testers with authorized access to Krea 2 Raw and a Colab T4 to evaluate first-run clarity, cache behavior, resume functionality, and checkpoint downloads.