Siddharth Kumar Sah a291d1fe0b fix: prevent false GPU detection when CUDA image runs without GPU ...

The STIRLING_GPU=true env var was baked into the :cuda Dockerfile,
which made gpu_available() return True without checking actual
hardware. On machines without a GPU, this would crash upscale.py
(torch.device("cuda") fails) and ocr.py (PaddleOCR use_gpu=True).

Fix: the env var can only disable GPU (set to false/0), never
force-enable it. Hardware detection always runs. Removed the
baked env var from the Dockerfile since it adds no value now.

2026-04-05 22:03:57 +08:00

..

python

fix: prevent false GPU detection when CUDA image runs without GPU

2026-04-05 22:03:57 +08:00

src

feat: add GPU/CUDA acceleration support (:cuda Docker tag)

2026-04-05 19:12:45 +08:00

package.json

chore(release): 1.7.0 [skip ci]

2026-04-05 12:36:40 +00:00

tsconfig.json

feat: add image-engine and ai stub packages

2026-03-22 02:44:46 +08:00