mirror of
https://github.com/finegrain-ai/refiners.git
synced 2024-11-22 06:08:46 +00:00
poetry add --optional diffusers@^0.21.0
T2I-Adapter for SDXL has been released part of v0.21.0
This commit is contained in:
parent
14864857b1
commit
e352fea7c0
38
poetry.lock
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38
poetry.lock
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@ -566,30 +566,30 @@ files = [
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[[package]]
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[[package]]
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name = "diffusers"
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name = "diffusers"
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version = "0.18.2"
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version = "0.21.2"
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description = "Diffusers"
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description = "State-of-the-art diffusion in PyTorch and JAX."
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optional = true
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optional = true
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python-versions = ">=3.7.0"
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python-versions = ">=3.7.0"
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files = [
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files = [
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{file = "diffusers-0.18.2-py3-none-any.whl", hash = "sha256:81292697d97a8eb74f0ecef02968addf2c78f06e4f9998d6a9e45c4e52f587cd"},
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{file = "diffusers-0.21.2.tar.gz", hash = "sha256:8b42bf1d991a72c7a501726818d3e2ec1b4c3abee63284335d9552e9340629e5"},
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{file = "diffusers-0.18.2.tar.gz", hash = "sha256:49a8375d72ba27efe7414a9ccc3ad5f969a13838bd089ad985ab836d03ffb8a4"},
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]
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]
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[package.dependencies]
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[package.dependencies]
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filelock = "*"
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filelock = "*"
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huggingface-hub = ">=0.13.2"
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huggingface-hub = ">=0.13.2"
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importlib-metadata = "*"
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importlib_metadata = "*"
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numpy = "*"
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numpy = "*"
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Pillow = "*"
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Pillow = "*"
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regex = "!=2019.12.17"
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regex = "!=2019.12.17"
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requests = "*"
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requests = "*"
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safetensors = ">=0.3.1"
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[package.extras]
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[package.extras]
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dev = ["Jinja2", "accelerate (>=0.11.0)", "black (>=23.1,<24.0)", "compel (==0.1.8)", "datasets", "flax (>=0.4.1)", "hf-doc-builder (>=0.3.0)", "invisible-watermark", "isort (>=5.5.4)", "jax (>=0.2.8,!=0.3.2)", "jaxlib (>=0.1.65)", "k-diffusion (>=0.0.12)", "librosa", "omegaconf", "parameterized", "protobuf (>=3.20.3,<4)", "pytest", "pytest-timeout", "pytest-xdist", "requests-mock (==1.10.0)", "ruff (>=0.0.241)", "safetensors", "scipy", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "torch (>=1.4)", "torchvision", "transformers (>=4.25.1)", "urllib3 (<=2.0.0)"]
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dev = ["Jinja2", "Jinja2", "accelerate (>=0.11.0)", "accelerate (>=0.11.0)", "black (>=23.1,<24.0)", "compel (==0.1.8)", "datasets", "datasets", "flax (>=0.4.1)", "hf-doc-builder (>=0.3.0)", "hf-doc-builder (>=0.3.0)", "invisible-watermark (>=0.2.0)", "isort (>=5.5.4)", "jax (>=0.2.8,!=0.3.2)", "jaxlib (>=0.1.65)", "k-diffusion (>=0.0.12)", "librosa", "omegaconf", "parameterized", "protobuf (>=3.20.3,<4)", "pytest", "pytest-timeout", "pytest-xdist", "requests-mock (==1.10.0)", "ruff (==0.0.280)", "safetensors (>=0.3.1)", "scipy", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "torch (>=1.4)", "torchvision", "transformers (>=4.25.1)", "urllib3 (<=2.0.0)"]
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docs = ["hf-doc-builder (>=0.3.0)"]
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docs = ["hf-doc-builder (>=0.3.0)"]
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flax = ["flax (>=0.4.1)", "jax (>=0.2.8,!=0.3.2)", "jaxlib (>=0.1.65)"]
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flax = ["flax (>=0.4.1)", "jax (>=0.2.8,!=0.3.2)", "jaxlib (>=0.1.65)"]
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quality = ["black (>=23.1,<24.0)", "hf-doc-builder (>=0.3.0)", "isort (>=5.5.4)", "ruff (>=0.0.241)", "urllib3 (<=2.0.0)"]
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quality = ["black (>=23.1,<24.0)", "hf-doc-builder (>=0.3.0)", "isort (>=5.5.4)", "ruff (==0.0.280)", "urllib3 (<=2.0.0)"]
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test = ["Jinja2", "compel (==0.1.8)", "datasets", "invisible-watermark", "k-diffusion (>=0.0.12)", "librosa", "omegaconf", "parameterized", "pytest", "pytest-timeout", "pytest-xdist", "requests-mock (==1.10.0)", "safetensors", "scipy", "sentencepiece (>=0.1.91,!=0.1.92)", "torchvision", "transformers (>=4.25.1)"]
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test = ["Jinja2", "compel (==0.1.8)", "datasets", "invisible-watermark (>=0.2.0)", "k-diffusion (>=0.0.12)", "librosa", "omegaconf", "parameterized", "pytest", "pytest-timeout", "pytest-xdist", "requests-mock (==1.10.0)", "safetensors (>=0.3.1)", "scipy", "sentencepiece (>=0.1.91,!=0.1.92)", "torchvision", "transformers (>=4.25.1)"]
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torch = ["accelerate (>=0.11.0)", "torch (>=1.4)"]
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torch = ["accelerate (>=0.11.0)", "torch (>=1.4)"]
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training = ["Jinja2", "accelerate (>=0.11.0)", "datasets", "protobuf (>=3.20.3,<4)", "tensorboard"]
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training = ["Jinja2", "accelerate (>=0.11.0)", "datasets", "protobuf (>=3.20.3,<4)", "tensorboard"]
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@ -2109,7 +2099,6 @@ files = [
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@ -2117,15 +2106,8 @@ files = [
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@ -2142,7 +2124,6 @@ files = [
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{file = "PyYAML-6.0.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:28c119d996beec18c05208a8bd78cbe4007878c6dd15091efb73a30e90539696"},
|
||||||
{file = "PyYAML-6.0.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7e07cbde391ba96ab58e532ff4803f79c4129397514e1413a7dc761ccd755735"},
|
{file = "PyYAML-6.0.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7e07cbde391ba96ab58e532ff4803f79c4129397514e1413a7dc761ccd755735"},
|
||||||
{file = "PyYAML-6.0.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:49a183be227561de579b4a36efbb21b3eab9651dd81b1858589f796549873dd6"},
|
|
||||||
{file = "PyYAML-6.0.1-cp38-cp38-win32.whl", hash = "sha256:184c5108a2aca3c5b3d3bf9395d50893a7ab82a38004c8f61c258d4428e80206"},
|
{file = "PyYAML-6.0.1-cp38-cp38-win32.whl", hash = "sha256:184c5108a2aca3c5b3d3bf9395d50893a7ab82a38004c8f61c258d4428e80206"},
|
||||||
{file = "PyYAML-6.0.1-cp38-cp38-win_amd64.whl", hash = "sha256:1e2722cc9fbb45d9b87631ac70924c11d3a401b2d7f410cc0e3bbf249f2dca62"},
|
{file = "PyYAML-6.0.1-cp38-cp38-win_amd64.whl", hash = "sha256:1e2722cc9fbb45d9b87631ac70924c11d3a401b2d7f410cc0e3bbf249f2dca62"},
|
||||||
{file = "PyYAML-6.0.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:9eb6caa9a297fc2c2fb8862bc5370d0303ddba53ba97e71f08023b6cd73d16a8"},
|
{file = "PyYAML-6.0.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:9eb6caa9a297fc2c2fb8862bc5370d0303ddba53ba97e71f08023b6cd73d16a8"},
|
||||||
|
@ -2150,7 +2131,6 @@ files = [
|
||||||
{file = "PyYAML-6.0.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5773183b6446b2c99bb77e77595dd486303b4faab2b086e7b17bc6bef28865f6"},
|
{file = "PyYAML-6.0.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5773183b6446b2c99bb77e77595dd486303b4faab2b086e7b17bc6bef28865f6"},
|
||||||
{file = "PyYAML-6.0.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b786eecbdf8499b9ca1d697215862083bd6d2a99965554781d0d8d1ad31e13a0"},
|
{file = "PyYAML-6.0.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b786eecbdf8499b9ca1d697215862083bd6d2a99965554781d0d8d1ad31e13a0"},
|
||||||
{file = "PyYAML-6.0.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bc1bf2925a1ecd43da378f4db9e4f799775d6367bdb94671027b73b393a7c42c"},
|
{file = "PyYAML-6.0.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bc1bf2925a1ecd43da378f4db9e4f799775d6367bdb94671027b73b393a7c42c"},
|
||||||
{file = "PyYAML-6.0.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:04ac92ad1925b2cff1db0cfebffb6ffc43457495c9b3c39d3fcae417d7125dc5"},
|
|
||||||
{file = "PyYAML-6.0.1-cp39-cp39-win32.whl", hash = "sha256:faca3bdcf85b2fc05d06ff3fbc1f83e1391b3e724afa3feba7d13eeab355484c"},
|
{file = "PyYAML-6.0.1-cp39-cp39-win32.whl", hash = "sha256:faca3bdcf85b2fc05d06ff3fbc1f83e1391b3e724afa3feba7d13eeab355484c"},
|
||||||
{file = "PyYAML-6.0.1-cp39-cp39-win_amd64.whl", hash = "sha256:510c9deebc5c0225e8c96813043e62b680ba2f9c50a08d3724c7f28a747d1486"},
|
{file = "PyYAML-6.0.1-cp39-cp39-win_amd64.whl", hash = "sha256:510c9deebc5c0225e8c96813043e62b680ba2f9c50a08d3724c7f28a747d1486"},
|
||||||
{file = "PyYAML-6.0.1.tar.gz", hash = "sha256:bfdf460b1736c775f2ba9f6a92bca30bc2095067b8a9d77876d1fad6cc3b4a43"},
|
{file = "PyYAML-6.0.1.tar.gz", hash = "sha256:bfdf460b1736c775f2ba9f6a92bca30bc2095067b8a9d77876d1fad6cc3b4a43"},
|
||||||
|
@ -3334,4 +3314,4 @@ training = ["bitsandbytes", "datasets", "loguru", "prodigyopt", "pydantic", "sci
|
||||||
[metadata]
|
[metadata]
|
||||||
lock-version = "2.0"
|
lock-version = "2.0"
|
||||||
python-versions = ">=3.10,<3.12"
|
python-versions = ">=3.10,<3.12"
|
||||||
content-hash = "d7b472e85fc6fc77ed5205d96ef9e2c2eb402b4bc467f1713a915ef09643213a"
|
content-hash = "a13b0150b43e30c650c60da1d68734b72b62dd369978fc128c47c4d323610c1b"
|
||||||
|
|
|
@ -25,7 +25,7 @@ prodigyopt = {version = "^1.0", optional = true}
|
||||||
pydantic = {version = "~2.0.3", optional = true}
|
pydantic = {version = "~2.0.3", optional = true}
|
||||||
scipy = {version = "^1.11.1", optional = true}
|
scipy = {version = "^1.11.1", optional = true}
|
||||||
torchvision = {version = "^0.15.2", optional = true}
|
torchvision = {version = "^0.15.2", optional = true}
|
||||||
diffusers = {version = "^0.18.0", optional = true}
|
diffusers = {version = "^0.21.0", optional = true}
|
||||||
transformers = {version = "^4.27.4", optional = true}
|
transformers = {version = "^4.27.4", optional = true}
|
||||||
piq = {version = "^0.7.1", optional = true}
|
piq = {version = "^0.7.1", optional = true}
|
||||||
invisible-watermark = {version = "^0.2.0", optional = true}
|
invisible-watermark = {version = "^0.2.0", optional = true}
|
||||||
|
|
Loading…
Reference in a new issue