Bayes_ttv2tvt_1 / pyproject.toml
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[build-system]
requires = ["setuptools >= 75.0"]
build-backend = "setuptools.build_meta"
[project]
name = "flux-schnell-edge-inference"
description = "An edge-maxxing model submission for the 4090 Flux contest"
requires-python = ">=3.10,<3.13"
version = "7"
dependencies = [
"diffusers==0.31.0",
"transformers==4.46.2",
"accelerate==1.1.0",
"omegaconf==2.3.0",
"torch==2.5.1",
"protobuf==5.28.3",
"sentencepiece==0.2.0",
"edge-maxxing-pipelines @ git+https://github.com/womboai/edge-maxxing@7c760ac54f6052803dadb3ade8ebfc9679a94589#subdirectory=pipelines",
"gitpython>=3.1.43",
"torchao>=0.6.1",
]
[tool.edge-maxxing]
models = ["black-forest-labs/FLUX.1-schnell", "city96/t5-v1_1-xxl-encoder-bf16", "ColdAsIce123/Flux.1Schell_vaee3m2"]
[project.scripts]
start_inference = "main:main"