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chore(deps): drop <3.13 Python cap, require coreml-diffusion>=0.1.6 (#68)

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Mirror the library: coreml-diffusion 0.1.6 dropped its stale <3.13 cap, so this
package can too (requires-python >=3.12). Bump the dependency floor to 0.1.6 to
keep the cap consistent across both — a consumer pinned to <3.13 with a library
allowing 3.13+ would be unresolvable for the 3.13 range. Pin the dev/CI
interpreter to 3.12 via .python-version so CI runs on a fixed baseline rather
than floating to a newer Python without a pinned-torch wheel.
This commit is contained in:
aszc
2026-06-13 15:48:42 +02:00
committed by GitHub
parent 8d28964831
commit 5e57024336
3 changed files with 763 additions and 10 deletions
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pyproject.toml
+4 -3
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@@ -7,13 +7,14 @@ name = "comfyui-coremlsuite"
description = "This extension contains a set of custom nodes for ComfyUI that allow you to use Core ML models in your ComfyUI workflows."
version = "2.1.2"
license = "MIT"
requires-python = ">=3.12,<3.13"
requires-python = ">=3.12"
dependencies = [
# torch is provided by the host (ComfyUI) and intentionally left unpinned
# here: a hard torch cap would downgrade the host's torch and break its
# torchvision/torchaudio ABI. coreml-diffusion pulls torch>=2.7 transitively.
# >=0.1.5: model-version auto-detection (convert(model_version=None)).
"coreml-diffusion>=0.1.5,<0.2",
# >=0.1.6: model-version auto-detection (convert(model_version=None)) and the
# dropped <3.13 Python cap (kept in sync with this package's requires-python).
"coreml-diffusion>=0.1.6,<0.2",
"coremltools>=9,<10",
"numpy>=2,<3",
]