Commit History
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README: app flow screenshots + hackathon note; fix gen concurrency
README: - Add picker → solve → reward screenshots (real in-app LoRA reward) - Note this is a submission to the HF "Small Models, Big Adventures" hackathon image_generator.py — fix concurrent-generation crash (surfaced locally on MPS): - _pipe_lock: publish the pipeline only once fully built (with LoRA), so the pregenerate + on-demand handlers can't double-load and apply the LoRA twice (was crashing with a meta-tensor error / duplicate peft_config) - _gen_lock: serialize inference — one device can't run two forward passes at once. ZeroGPU serializes @GPU calls in production; locally we must do it. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>36cd8ec -
Docs: publish LoRA trainer + add README fine-tuning story
Task #3 — training/lora_trainer/: the reproducible Modal + ai-toolkit setup (run_modal.py, numzoo_klein.yaml, README with repro steps + the gotchas we hit). Task #4 — README: new "Custom AI art: the NumZoo LoRA" section with before/after panda (photoreal → cozy), a LoRA gallery, the Qwen-Image dataset story, training summary, and a link to the published HF LoRA (goumsss/numzoo-flux2-klein-lora). Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>6805506