Date: Thu, 19 Mar 2026 06:47:42 +0000 From: Yuri Victorovich <yuri@FreeBSD.org> To: ports-committers@FreeBSD.org, dev-commits-ports-all@FreeBSD.org, dev-commits-ports-main@FreeBSD.org Subject: git: d80a1a385f1a - main - misc/py-comfy-kitchen: New port: ComfyUI: Fast kernel library for Diffusion inference Message-ID: <69bb9c0e.3958d.722e0b42@gitrepo.freebsd.org>
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The branch main has been updated by yuri: URL: https://cgit.FreeBSD.org/ports/commit/?id=d80a1a385f1af5e0dd1e55712f0bdd5e45d72bdb commit d80a1a385f1af5e0dd1e55712f0bdd5e45d72bdb Author: Yuri Victorovich <yuri@FreeBSD.org> AuthorDate: 2026-03-19 01:26:01 +0000 Commit: Yuri Victorovich <yuri@FreeBSD.org> CommitDate: 2026-03-19 06:47:38 +0000 misc/py-comfy-kitchen: New port: ComfyUI: Fast kernel library for Diffusion inference --- misc/Makefile | 1 + misc/py-comfy-kitchen/Makefile | 41 ++++++++++++++++++++++++++++++ misc/py-comfy-kitchen/distinfo | 3 +++ misc/py-comfy-kitchen/files/patch-setup.py | 11 ++++++++ misc/py-comfy-kitchen/pkg-descr | 17 +++++++++++++ 5 files changed, 73 insertions(+) diff --git a/misc/Makefile b/misc/Makefile index 4066b73e7e1d..e2265de6bf12 100644 --- a/misc/Makefile +++ b/misc/Makefile @@ -446,6 +446,7 @@ SUBDIR += py-colored SUBDIR += py-colorzero SUBDIR += py-comfy-aimdo + SUBDIR += py-comfy-kitchen SUBDIR += py-comfyui-embedded-docs SUBDIR += py-comfyui-frontend-package SUBDIR += py-comfyui-workflow-templates diff --git a/misc/py-comfy-kitchen/Makefile b/misc/py-comfy-kitchen/Makefile new file mode 100644 index 000000000000..c774b1deaf04 --- /dev/null +++ b/misc/py-comfy-kitchen/Makefile @@ -0,0 +1,41 @@ +PORTNAME= comfy-kitchen +DISTVERSIONPREFIX= v +DISTVERSION= 0.2.8 +CATEGORIES= misc python +PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX} + +MAINTAINER= yuri@FreeBSD.org +COMMENT= ComfyUI: Fast kernel library for Diffusion inference +WWW= https://github.com/Comfy-Org/comfy-kitchen + +LICENSE= APACHE20 + +BUILD_DEPENDS= ${PYTHON_PKGNAMEPREFIX}nanobind>0:devel/py-nanobind@${PY_FLAVOR} \ + ${PY_SETUPTOOLS} \ + ${PYTHON_PKGNAMEPREFIX}wheel>0:devel/py-wheel@${PY_FLAVOR} +RUN_DEPENDS= ${PYTHON_PKGNAMEPREFIX}packaging>0:devel/py-packaging@${PY_FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}pytorch>=2.0.0:misc/py-pytorch@${PY_FLAVOR} + +USES= python +USE_PYTHON= pep517 autoplist pytest + +USE_GITHUB= yes +GH_ACCOUNT= Comfy-Org + +NO_ARCH= yes + +# CUDA is not available on FreeBSD +MAKE_ENV+= COMFY_KITCHEN_NO_CUDA=1 + +NO_ARCH= yes # it would have binaries when CUDA would be enabled + +do-test: + @cd ${WRKSRC} && ${SETENV} ${TEST_ENV} ${PYTHON_CMD} -m pytest -v -rs + +tests as of 0.2.8: +# Results (14.34s): +# 574 passed +# 203 skipped +# 1 warning + +.include <bsd.port.mk> diff --git a/misc/py-comfy-kitchen/distinfo b/misc/py-comfy-kitchen/distinfo new file mode 100644 index 000000000000..0bb634471796 --- /dev/null +++ b/misc/py-comfy-kitchen/distinfo @@ -0,0 +1,3 @@ +TIMESTAMP = 1773845240 +SHA256 (Comfy-Org-comfy-kitchen-v0.2.8_GH0.tar.gz) = 0fd1ac41e48a4e2bb8e3458ddebbfc5b019288501701b862363a8742bb4486f2 +SIZE (Comfy-Org-comfy-kitchen-v0.2.8_GH0.tar.gz) = 96322 diff --git a/misc/py-comfy-kitchen/files/patch-setup.py b/misc/py-comfy-kitchen/files/patch-setup.py new file mode 100644 index 000000000000..0acdc5fd821d --- /dev/null +++ b/misc/py-comfy-kitchen/files/patch-setup.py @@ -0,0 +1,11 @@ +--- setup.py.orig 2025-03-01 00:00:00 UTC ++++ setup.py +@@ -19,7 +19,7 @@ from setuptools.command.build_ext import build_ext + # This needs to happen before get_extensions() is called + # Usage: python setup.py install --no-cuda + # or: pip install . --no-cuda +-BUILD_NO_CUDA = False ++BUILD_NO_CUDA = os.getenv("COMFY_KITCHEN_NO_CUDA", "0") == "1" + if "--no-cuda" in sys.argv: + BUILD_NO_CUDA = True + sys.argv.remove("--no-cuda") # Remove so setuptools doesn't complain diff --git a/misc/py-comfy-kitchen/pkg-descr b/misc/py-comfy-kitchen/pkg-descr new file mode 100644 index 000000000000..f3e8b0a78e13 --- /dev/null +++ b/misc/py-comfy-kitchen/pkg-descr @@ -0,0 +1,17 @@ +Comfy Kitchen is a high-performance kernel library designed for Diffusion model +inference. It provides optimized implementations for critical operations, +including various quantization formats and Rotary Positional Embeddings (RoPE). +The library features a flexible dispatch system that automatically selects the +most efficient compute backend—CUDA, Triton, or eager PyTorch—based on available +hardware and input constraints. + +Key features include: +* Optimized kernels specifically tuned for Diffusion inference workloads. +* Support for multiple compute backends (CUDA C, Triton JIT, and pure PyTorch). +* Transparent quantization via a QuantizedTensor subclass that intercepts + PyTorch operations. +* Support for advanced quantization formats including FP8, NVFP4, and MXFP8. +* Automatic backend selection and constraint validation for hardware-specific + optimizations. +* Implementation of performance-critical functions like RoPE and scaled matrix + multiplication.home | help
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