Commit History
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Integrate trained NumZoo LoRA into the app
- Bundle the step-1250 FLUX.2-klein-4B style LoRA (lora/numzoo_klein.safetensors, 88MB via Git LFS) — chosen for strongest style + clean multi-animal, no overfit - Load it in _load_pipeline_cpu() after from_pretrained (module/CPU scope, outside the ZeroGPU budget); bulletproof try/except falls back to base model - build_prompt() now prepends the "NUMZOO" trigger and appends "no text" (the distilled 4-step klein otherwise renders the trigger word as a literal sign) - Add peft to requirements.txt (required by load_lora_weights) Local MPS test: cozy NumZoo style renders correctly, no trigger text, multi-animal works. All 10 Puppeteer checks pass. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>35bc0e8