_shared gains default_model()/default_lora() (env overrides
KREA2_TEST_MODEL/KREA2_TEST_LORA, else <repo>/../Models discovery with
clear errors) and fox_source()/ref_uint8() for the reference source image
boilerplate repeated across scripts. test_img2img/test_edit/
test_edit_grounded no longer hardcode machine paths; all tools compile
and resolve on a fresh checkout.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Completes rung B — the semantic path of krea2_edit. Krea2Edit gains a
grounding_px control: >0 runs the source image through the (now wired-up)
Qwen3-VL vision tower and reads the instruction *while looking at the
image*, matching what the identity LoRA was trained with; 0 keeps plain
text conditioning.
Integration (krea2_engine/text_encoder.py): splice merged vision tokens
at <image_pad>, inject the 3 deepstack features at decoder layers 0/1/2,
apply interleaved multimodal RoPE (3D t/h/w positions, mrope_section
24/20/20), and tap the same 12 layers. Torch-free at runtime; the vision
tower is loaded lazily on first grounded use.
Validated against the full PyTorch Qwen3-VL model end-to-end: the grounded
12-layer tap matches to cosine 1.0, mean|Δ| 2.7e-5 (a deepstack recording-
order bug found and fixed via the per-layer diff). txt2img stays
pixel-identical to the parity reference; grounded edit runs end-to-end and
preserves the source scene better than the plain path (see tools/).
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
