Upload pyproject.toml

pyproject.toml

@@ -0,0 +1,65 @@
+[build-system]
+requires = ["setuptools>=61.0", "wheel"]
+build-backend = "setuptools.build_meta"
+
+[project]
+name = "xfuser"
+dynamic = ["version"]
+description = "A Scalable Inference Engine for Diffusion Transformers (DiTs) on Multiple Computing Devices"
+readme = "README.md"
+requires-python = ">=3.10"
+license = {text = "MIT"}
+authors = [
+    {name = "xDiT Team", email = "fangjiarui123@gmail.com"}
+]
+classifiers = [
+    "Programming Language :: Python :: 3",
+    "Operating System :: OS Independent",
+]
+dependencies = [
+    "torch>=2.1.0",
+    "accelerate>=0.33.0",
+    "transformers>=4.39.1",
+    "sentencepiece>=0.1.99",
+    "beautifulsoup4>=4.12.3",
+    "distvae",
+    "yunchang>=0.6.0",
+    "einops",
+    "diffusers>=0.35.1",  # Need to update the diffusers version when supporting a new model.
+    "peft==0.17.0"
+]
+
+[project.optional-dependencies]
+flash-attn = [
+    "flash-attn>=2.6.0",  # NOTE: flash-attn is necessary if ring_degree > 1
+]
+optimum-quanto = [
+    "optimum-quanto",  # NOTE: optimum-quanto is necessary if use_fp8_t5_encoder is enabled
+]
+flask = [
+    "flask",  # NOTE: flask is necessary to run xDiT as an http service
+]
+ray = [
+    "ray",  # NOTE: ray is necessary if RayDiffusionPipeline is used
+]
+opencv-python = [
+    "opencv-python-headless",  # NOTE: opencv-python is necessary if ConsisIDPipeline is used
+]
+test = [
+    "pytest",
+    "imageio",
+    "imageio-ffmpeg"
+]
+
+[project.urls]
+Homepage = "https://github.com/xdit-project/xDiT."
+Repository = "https://github.com/xdit-project/xDiT."
+
+[tool.setuptools.dynamic]
+version = {attr = "xfuser.__version__.__version__"}
+
+[tool.setuptools.packages.find]
+include = ["xfuser*"]
+
+[tool.setuptools]
+include-package-data = true