diff --git a/install/apple/poetry.lock b/install/apple/poetry.lock
index 8f2659d4..ca1e6e1d 100644
--- a/install/apple/poetry.lock
+++ b/install/apple/poetry.lock
@@ -254,17 +254,17 @@ tests-mypy = ["mypy (>=1.11.1)", "pytest-mypy-plugins"]
 
 [[package]]
 name = "boto3"
-version = "1.35.24"
+version = "1.35.83"
 description = "The AWS SDK for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "boto3-1.35.24-py3-none-any.whl", hash = "sha256:97fcc1a14cbc759e4ba9535ced703a99fcf652c9c4b8dfcd06f292c80551684b"},
-    {file = "boto3-1.35.24.tar.gz", hash = "sha256:be7807f30f26d6c0057e45cfd09dad5968e664488bf4f9138d0bb7a0f6d8ed40"},
+    {file = "boto3-1.35.83-py3-none-any.whl", hash = "sha256:a4828d67b12892cb11fe9e6d86f40975a06db470676e61194968e3a32ec4c536"},
+    {file = "boto3-1.35.83.tar.gz", hash = "sha256:df2e0d57241de0f9c31b62e73093c2126e4fd73b87b1897ecf280a1b87a2b825"},
 ]
 
 [package.dependencies]
-botocore = ">=1.35.24,<1.36.0"
+botocore = ">=1.35.83,<1.36.0"
 jmespath = ">=0.7.1,<2.0.0"
 s3transfer = ">=0.10.0,<0.11.0"
 
@@ -273,13 +273,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
 
 [[package]]
 name = "botocore"
-version = "1.35.24"
+version = "1.35.83"
 description = "Low-level, data-driven core of boto 3."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "botocore-1.35.24-py3-none-any.whl", hash = "sha256:eb9ccc068255cc3d24c36693fda6aec7786db05ae6c2b13bcba66dce6a13e2e3"},
-    {file = "botocore-1.35.24.tar.gz", hash = "sha256:1e59b0f14f4890c4f70bd6a58a634b9464bed1c4c6171f87c8795d974ade614b"},
+    {file = "botocore-1.35.83-py3-none-any.whl", hash = "sha256:ba363183e4df79fbcfd5f3600fd473bd45a1de03d0d0b5e78abd59f276971d27"},
+    {file = "botocore-1.35.83.tar.gz", hash = "sha256:df5e4384838e50bbafd47e9b5fefb995e83cbb9412e7cd7c0db9555174d91bba"},
 ]
 
 [package.dependencies]
@@ -288,7 +288,7 @@ python-dateutil = ">=2.1,<3.0.0"
 urllib3 = {version = ">=1.25.4,<2.2.0 || >2.2.0,<3", markers = "python_version >= \"3.10\""}
 
 [package.extras]
-crt = ["awscrt (==0.21.5)"]
+crt = ["awscrt (==0.22.0)"]
 
 [[package]]
 name = "certifi"
@@ -1077,13 +1077,13 @@ zstd = ["zstandard (>=0.18.0)"]
 
 [[package]]
 name = "huggingface-hub"
-version = "0.23.5"
+version = "0.27.0"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
 optional = false
 python-versions = ">=3.8.0"
 files = [
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-    {file = "huggingface_hub-0.23.5.tar.gz", hash = "sha256:67a9caba79b71235be3752852ca27da86bd54311d2424ca8afdb8dda056edf98"},
+    {file = "huggingface_hub-0.27.0-py3-none-any.whl", hash = "sha256:8f2e834517f1f1ddf1ecc716f91b120d7333011b7485f665a9a412eacb1a2a81"},
+    {file = "huggingface_hub-0.27.0.tar.gz", hash = "sha256:902cce1a1be5739f5589e560198a65a8edcfd3b830b1666f36e4b961f0454fac"},
 ]
 
 [package.dependencies]
@@ -1096,17 +1096,17 @@ tqdm = ">=4.42.1"
 typing-extensions = ">=3.7.4.3"
 
 [package.extras]
-all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio", "jedi", "minijinja (>=1.0)", "mypy (==1.5.1)", "numpy", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.3.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
+all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio (>=4.0.0)", "jedi", "libcst (==1.4.0)", "mypy (==1.5.1)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.5.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
 cli = ["InquirerPy (==0.3.4)"]
-dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio", "jedi", "minijinja (>=1.0)", "mypy (==1.5.1)", "numpy", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.3.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
+dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio (>=4.0.0)", "jedi", "libcst (==1.4.0)", "mypy (==1.5.1)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.5.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
 fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
 hf-transfer = ["hf-transfer (>=0.1.4)"]
-inference = ["aiohttp", "minijinja (>=1.0)"]
-quality = ["mypy (==1.5.1)", "ruff (>=0.3.0)"]
+inference = ["aiohttp"]
+quality = ["libcst (==1.4.0)", "mypy (==1.5.1)", "ruff (>=0.5.0)"]
 tensorflow = ["graphviz", "pydot", "tensorflow"]
 tensorflow-testing = ["keras (<3.0)", "tensorflow"]
-testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio", "jedi", "minijinja (>=1.0)", "numpy", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
-torch = ["safetensors", "torch"]
+testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio (>=4.0.0)", "jedi", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
+torch = ["safetensors[torch]", "torch"]
 typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
 
 [[package]]
@@ -1200,7 +1200,7 @@ typing = ["mypy (>=1.0.0)", "types-setuptools"]
 
 [[package]]
 name = "lycoris_lora"
-version = "3.0.1.dev14"
+version = "3.1.1.post1"
 description = "Lora beYond Conventional methods, Other Rank adaptation Implementations for Stable diffusion"
 optional = false
 python-versions = ">=3.10"
@@ -1217,7 +1217,7 @@ tqdm = "*"
 type = "git"
 url = "https://github.com/kohakublueleaf/lycoris"
 reference = "dev"
-resolved_reference = "8978355aa43164393736269416956f1974580166"
+resolved_reference = "272743551dc4de0452c4961e08687162fb272b99"
 
 [[package]]
 name = "markdown"
@@ -1607,43 +1607,66 @@ test = ["codecov (>=2.0.5)", "coverage (>=4.2)", "flake8 (>=3.0.4)", "pytest (>=
 
 [[package]]
 name = "numpy"
-version = "1.26.0"
+version = "2.2.0"
 description = "Fundamental package for array computing in Python"
 optional = false
-python-versions = "<3.13,>=3.9"
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+version = "0.14.0"
 description = "Parameter-Efficient Fine-Tuning (PEFT)"
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 [package.dependencies]
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-huggingface-hub = ">=0.17.0"
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 numpy = ">=1.17"
 packaging = ">=20.0"
 psutil = "*"
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 transformers = "*"
 
 [package.extras]
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 [package.extras]
-docs = ["furo", "olefile", "sphinx (>=7.3)", "sphinx-copybutton", "sphinx-inline-tabs", "sphinxext-opengraph"]
+docs = ["furo", "olefile", "sphinx (>=8.1)", "sphinx-copybutton", "sphinx-inline-tabs", "sphinxext-opengraph"]
 fpx = ["olefile"]
 mic = ["olefile"]
 tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"]
@@ -3142,12 +3160,12 @@ dev = ["hypothesis (>=6.70.0)", "pytest (>=7.1.0)"]
 
 [[package]]
 name = "tensorboard"
-version = "2.17.1"
+version = "2.18.0"
 description = "TensorBoard lets you watch Tensors Flow"
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 ]
 
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+dev = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "av (==9.2.0)", "beautifulsoup4", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flax (>=0.4.1,<=0.7.0)", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "libcst", "librosa", "nltk (<=3.8.1)", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "scipy (<1.13.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "timm (<=1.0.11)", "tokenizers (>=0.21,<0.22)", "torch", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
+dev-tensorflow = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "isort (>=5.5.4)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "libcst", "librosa", "nltk (<=3.8.1)", "onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "tokenizers (>=0.21,<0.22)", "urllib3 (<2.0.0)"]
+dev-torch = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "beautifulsoup4", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "kenlm", "libcst", "librosa", "nltk (<=3.8.1)", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "timeout-decorator", "timm (<=1.0.11)", "tokenizers (>=0.21,<0.22)", "torch", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
 flax = ["flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "optax (>=0.0.8,<=0.1.4)", "scipy (<1.13.0)"]
 flax-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
 ftfy = ["ftfy"]
@@ -3625,12 +3546,12 @@ tf = ["keras-nlp (>=0.3.1,<0.14.0)", "onnxconverter-common", "tensorflow (>2.9,<
 tf-cpu = ["keras (>2.9,<2.16)", "keras-nlp (>=0.3.1,<0.14.0)", "onnxconverter-common", "tensorflow-cpu (>2.9,<2.16)", "tensorflow-probability (<0.24)", "tensorflow-text (<2.16)", "tf2onnx"]
 tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
 tiktoken = ["blobfile", "tiktoken"]
-timm = ["timm (<=0.9.16)"]
-tokenizers = ["tokenizers (>=0.20,<0.21)"]
+timm = ["timm (<=1.0.11)"]
+tokenizers = ["tokenizers (>=0.21,<0.22)"]
 torch = ["accelerate (>=0.26.0)", "torch"]
 torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
 torch-vision = ["Pillow (>=10.0.1,<=15.0)", "torchvision"]
-torchhub = ["filelock", "huggingface-hub (>=0.23.2,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.20,<0.21)", "torch", "tqdm (>=4.27)"]
+torchhub = ["filelock", "huggingface-hub (>=0.24.0,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.21,<0.22)", "torch", "tqdm (>=4.27)"]
 video = ["av (==9.2.0)"]
 vision = ["Pillow (>=10.0.1,<=15.0)"]
 
@@ -3783,19 +3704,22 @@ test = ["Cython (>=0.29.36,<0.30.0)", "aiohttp (==3.9.0b0)", "aiohttp (>=3.8.1)"
 
 [[package]]
 name = "wandb"
-version = "0.18.1"
+version = "0.19.1"
 description = "A CLI and library for interacting with the Weights & Biases API."
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "wandb-0.18.1-py3-none-any.whl", hash = "sha256:be936a193eeb940ce03d966f013b847562497e76256852d5fb170cdcdf50f185"},
-    {file = "wandb-0.18.1-py3-none-macosx_11_0_arm64.whl", hash = "sha256:1f143b814b0fd51b5f1a676ad8b66bd06a5ee4ad22fc46bcbf24048d76c77d35"},
-    {file = "wandb-0.18.1-py3-none-macosx_11_0_x86_64.whl", hash = "sha256:86b73a9f94f18b07f0e937ae945560244b560b57c16a9dfb8f03e2516d0cc666"},
-    {file = "wandb-0.18.1-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cc404682ebfb2477b48cb436a331e1bea0262e002d6fb3ccafe71d13657dd4ee"},
-    {file = "wandb-0.18.1-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fd4c97d69242efd604c1a2077c8b56341e236cfaca78c40f59dcef9b95464fdc"},
-    {file = "wandb-0.18.1-py3-none-win32.whl", hash = "sha256:33c5a0d74bc28879917b519f24d69b0e81530d72e99aba1c115189a2c9aac9cf"},
-    {file = "wandb-0.18.1-py3-none-win_amd64.whl", hash = "sha256:559cbd6e9ab752622f7d6dacdc334ede7f1bc34f42df3f48ed32bde55db42c6e"},
-    {file = "wandb-0.18.1.tar.gz", hash = "sha256:d625e94d53ff4ff961c58a9a17f0a1ea35720d98b9db710a458235924469fc6b"},
+    {file = "wandb-0.19.1-py3-none-any.whl", hash = "sha256:b3195b3fe4d1b8131f64b956e6a5de7486cecfec179570986dbd6c64cd29b3c5"},
+    {file = "wandb-0.19.1-py3-none-macosx_10_13_x86_64.whl", hash = "sha256:788c20d8c3dabe490b50961dc91298886853dd8a0276a09ef3fc5c7f1f137c1d"},
+    {file = "wandb-0.19.1-py3-none-macosx_11_0_arm64.whl", hash = "sha256:343d46c59aba3c30cf98ce8e0b9a2e1e52986a0ac0433d092de9aa856aeece98"},
+    {file = "wandb-0.19.1-py3-none-macosx_11_0_x86_64.whl", hash = "sha256:7541efa8ffab715ba932fcb5117c4255a47cadebf0365d1dc1eb684a94744573"},
+    {file = "wandb-0.19.1-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ec64a859478b9f5bcf894aedd2bcccaf6917abe7b8adbd722b2a43b7063d33db"},
+    {file = "wandb-0.19.1-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:405000bc3d2e369934ff1266fcc55ff968e4a0f24c2fdaa9a0585b170c01b60c"},
+    {file = "wandb-0.19.1-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:809b5ae83ed314b97db1077490f37d6c926c7c96fad9b6b5a2476534d54defb4"},
+    {file = "wandb-0.19.1-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:e01e9176b5ca9660226edcbfd9323019aa9bd5789a4b384d23ba53e062d3966e"},
+    {file = "wandb-0.19.1-py3-none-win32.whl", hash = "sha256:093cc5c39ce629390c4f465b1ae89bab2ee9b29c2a46c8b5143858dd8c73264b"},
+    {file = "wandb-0.19.1-py3-none-win_amd64.whl", hash = "sha256:1fc9d403fffb84e37f4e56a075b26b639e9f489899c9b9db9f46e3a7b7d93c64"},
+    {file = "wandb-0.19.1.tar.gz", hash = "sha256:a9b4bf790c468e7b350eeaba2de002672a5cbaa3049899ab060940e2388f429a"},
 ]
 
 [package.dependencies]
@@ -3805,11 +3729,13 @@ gitpython = ">=1.0.0,<3.1.29 || >3.1.29"
 platformdirs = "*"
 protobuf = {version = ">=3.19.0,<4.21.0 || >4.21.0,<5.28.0 || >5.28.0,<6", markers = "python_version > \"3.9\" or sys_platform != \"linux\""}
 psutil = ">=5.0.0"
+pydantic = ">=2.6,<3"
 pyyaml = "*"
 requests = ">=2.0.0,<3"
-sentry-sdk = ">=1.0.0"
+sentry-sdk = ">=2.0.0"
 setproctitle = "*"
 setuptools = "*"
+typing-extensions = {version = ">=4.4,<5", markers = "python_version < \"3.12\""}
 
 [package.extras]
 aws = ["boto3"]
@@ -3818,7 +3744,7 @@ gcp = ["google-cloud-storage"]
 importers = ["filelock", "mlflow", "polars (<=1.2.1)", "rich", "tenacity"]
 kubeflow = ["google-cloud-storage", "kubernetes", "minio", "sh"]
 launch = ["awscli", "azure-containerregistry", "azure-identity", "azure-storage-blob", "boto3", "botocore", "chardet", "google-auth", "google-cloud-aiplatform", "google-cloud-artifact-registry", "google-cloud-compute", "google-cloud-storage", "iso8601", "jsonschema", "kubernetes", "kubernetes-asyncio", "nbconvert", "nbformat", "optuna", "pydantic", "pyyaml (>=6.0.0)", "tomli", "typing-extensions"]
-media = ["bokeh", "moviepy", "numpy", "pillow", "plotly (>=5.18.0)", "rdkit-pypi", "soundfile"]
+media = ["bokeh", "imageio", "moviepy", "numpy", "pillow", "plotly (>=5.18.0)", "rdkit", "soundfile"]
 models = ["cloudpickle"]
 perf = ["orjson"]
 sweeps = ["sweeps (>=0.2.0)"]
@@ -4301,4 +4227,4 @@ type = ["pytest-mypy"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.10,<3.13"
-content-hash = "77fb82d71a4d0dab586b8ad06dde413f7ba240a9e1aa3b6527e1bddc966fedfb"
+content-hash = "bbf608e222d3c7eb6ded870c94f9d4fff299a736af6bc62f73c4d0629f4468eb"
diff --git a/install/apple/pyproject.toml b/install/apple/pyproject.toml
index 4f51fd6d..9bf973ff 100644
--- a/install/apple/pyproject.toml
+++ b/install/apple/pyproject.toml
@@ -12,11 +12,11 @@ python = ">=3.10,<3.13"
 torch = "^2.5.0"
 torchvision = "^0.20.0"
 diffusers = {git = "https://github.com/huggingface/diffusers"}
-transformers = "^4.46.3"
+transformers = "^4.47.1"
 datasets = "^3.0.0"
-wandb = "^0.18.1"
+wandb = "^0.19.1"
 requests = "^2.32.3"
-pillow = "^10.4.0"
+pillow = "^11.0.0"
 opencv-python = "^4.10.0.84"
 accelerate = "^1.2.1"
 safetensors = "^0.4.5"
@@ -25,18 +25,18 @@ clip-interrogator = "^0.6.0"
 open-clip-torch = "^2.26.1"
 iterutils = "^0.1.6"
 scipy = "^1.11.1"
-boto3 = "^1.35.24"
+boto3 = "^1.35.83"
 pandas = "^2.2.3"
-botocore = "^1.35.24"
+botocore = "^1.35.83"
 urllib3 = "<1.27"
-torchsde = "^0.2.5"
+torchsde = "^0.2.6"
 torchmetrics = "^1.1.1"
 colorama = "^0.4.6"
-numpy = "1.26"
-peft = "^0.12.0"
-tensorboard = "^2.17.1"
+numpy = "^2.2.0"
+peft = "^0.14.0"
+tensorboard = "^2.18.0"
 regex = "^2023.12.25"
-huggingface-hub = "^0.23.3"
+huggingface-hub = "^0.27.0"
 optimum-quanto = {git = "https://github.com/huggingface/optimum-quanto"}
 torch-optimi = "^0.2.1"
 lycoris-lora = {git = "https://github.com/kohakublueleaf/lycoris", rev = "dev"}
diff --git a/install/rocm/poetry.lock b/install/rocm/poetry.lock
index cd6f9b5f..93e3cd04 100644
--- a/install/rocm/poetry.lock
+++ b/install/rocm/poetry.lock
@@ -258,17 +258,17 @@ test = ["lion-pytorch", "scipy"]
 
 [[package]]
 name = "boto3"
-version = "1.35.24"
+version = "1.35.83"
 description = "The AWS SDK for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "boto3-1.35.24-py3-none-any.whl", hash = "sha256:97fcc1a14cbc759e4ba9535ced703a99fcf652c9c4b8dfcd06f292c80551684b"},
-    {file = "boto3-1.35.24.tar.gz", hash = "sha256:be7807f30f26d6c0057e45cfd09dad5968e664488bf4f9138d0bb7a0f6d8ed40"},
+    {file = "boto3-1.35.83-py3-none-any.whl", hash = "sha256:a4828d67b12892cb11fe9e6d86f40975a06db470676e61194968e3a32ec4c536"},
+    {file = "boto3-1.35.83.tar.gz", hash = "sha256:df2e0d57241de0f9c31b62e73093c2126e4fd73b87b1897ecf280a1b87a2b825"},
 ]
 
 [package.dependencies]
-botocore = ">=1.35.24,<1.36.0"
+botocore = ">=1.35.83,<1.36.0"
 jmespath = ">=0.7.1,<2.0.0"
 s3transfer = ">=0.10.0,<0.11.0"
 
@@ -277,13 +277,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
 
 [[package]]
 name = "botocore"
-version = "1.35.24"
+version = "1.35.83"
 description = "Low-level, data-driven core of boto 3."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "botocore-1.35.24-py3-none-any.whl", hash = "sha256:eb9ccc068255cc3d24c36693fda6aec7786db05ae6c2b13bcba66dce6a13e2e3"},
-    {file = "botocore-1.35.24.tar.gz", hash = "sha256:1e59b0f14f4890c4f70bd6a58a634b9464bed1c4c6171f87c8795d974ade614b"},
+    {file = "botocore-1.35.83-py3-none-any.whl", hash = "sha256:ba363183e4df79fbcfd5f3600fd473bd45a1de03d0d0b5e78abd59f276971d27"},
+    {file = "botocore-1.35.83.tar.gz", hash = "sha256:df5e4384838e50bbafd47e9b5fefb995e83cbb9412e7cd7c0db9555174d91bba"},
 ]
 
 [package.dependencies]
@@ -292,7 +292,7 @@ python-dateutil = ">=2.1,<3.0.0"
 urllib3 = {version = ">=1.25.4,<2.2.0 || >2.2.0,<3", markers = "python_version >= \"3.10\""}
 
 [package.extras]
-crt = ["awscrt (==0.21.5)"]
+crt = ["awscrt (==0.22.0)"]
 
 [[package]]
 name = "certifi"
@@ -1081,13 +1081,13 @@ zstd = ["zstandard (>=0.18.0)"]
 
 [[package]]
 name = "huggingface-hub"
-version = "0.24.5"
+version = "0.27.0"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
 optional = false
 python-versions = ">=3.8.0"
 files = [
-    {file = "huggingface_hub-0.24.5-py3-none-any.whl", hash = "sha256:d93fb63b1f1a919a22ce91a14518974e81fc4610bf344dfe7572343ce8d3aced"},
-    {file = "huggingface_hub-0.24.5.tar.gz", hash = "sha256:7b45d6744dd53ce9cbf9880957de00e9d10a9ae837f1c9b7255fc8fa4e8264f3"},
+    {file = "huggingface_hub-0.27.0-py3-none-any.whl", hash = "sha256:8f2e834517f1f1ddf1ecc716f91b120d7333011b7485f665a9a412eacb1a2a81"},
+    {file = "huggingface_hub-0.27.0.tar.gz", hash = "sha256:902cce1a1be5739f5589e560198a65a8edcfd3b830b1666f36e4b961f0454fac"},
 ]
 
 [package.dependencies]
@@ -1100,16 +1100,16 @@ tqdm = ">=4.42.1"
 typing-extensions = ">=3.7.4.3"
 
 [package.extras]
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@@ -1204,7 +1204,7 @@ typing = ["mypy (>=1.0.0)", "types-setuptools"]
 
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 type = "git"
 url = "https://github.com/kohakublueleaf/lycoris"
 reference = "dev"
-resolved_reference = "8978355aa43164393736269416956f1974580166"
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 numpy = ">=1.17"
 packaging = ">=20.0"
 psutil = "*"
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 transformers = "*"
 
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 mic = ["olefile"]
 tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"]
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 [[package]]
 name = "tensorboard"
-version = "2.17.1"
+version = "2.18.0"
 description = "TensorBoard lets you watch Tensors Flow"
 optional = false
 python-versions = ">=3.9"
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 ]
 
 [package.dependencies]
@@ -3027,111 +3045,26 @@ torchvision = "*"
 
 [[package]]
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 description = ""
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 flax-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
 ftfy = ["ftfy"]
@@ -3397,7 +3330,7 @@ natten = ["natten (>=0.14.6,<0.15.0)"]
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@@ -3407,17 +3340,18 @@ serving = ["fastapi", "pydantic", "starlette", "uvicorn"]
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 sklearn = ["scikit-learn"]
 speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
-testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk", "parameterized", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"]
+testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk (<=3.8.1)", "parameterized", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"]
 tf = ["keras-nlp (>=0.3.1,<0.14.0)", "onnxconverter-common", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx"]
 tf-cpu = ["keras (>2.9,<2.16)", "keras-nlp (>=0.3.1,<0.14.0)", "onnxconverter-common", "tensorflow-cpu (>2.9,<2.16)", "tensorflow-probability (<0.24)", "tensorflow-text (<2.16)", "tf2onnx"]
 tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
-timm = ["timm (<=0.9.16)"]
-tokenizers = ["tokenizers (>=0.19,<0.20)"]
-torch = ["accelerate (>=0.21.0)", "torch"]
+tiktoken = ["blobfile", "tiktoken"]
+timm = ["timm (<=1.0.11)"]
+tokenizers = ["tokenizers (>=0.21,<0.22)"]
+torch = ["accelerate (>=0.26.0)", "torch"]
 torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
 torch-vision = ["Pillow (>=10.0.1,<=15.0)", "torchvision"]
-torchhub = ["filelock", "huggingface-hub (>=0.23.2,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.19,<0.20)", "torch", "tqdm (>=4.27)"]
-video = ["av (==9.2.0)", "decord (==0.6.0)"]
+torchhub = ["filelock", "huggingface-hub (>=0.24.0,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.21,<0.22)", "torch", "tqdm (>=4.27)"]
+video = ["av (==9.2.0)"]
 vision = ["Pillow (>=10.0.1,<=15.0)"]
 
 [[package]]
@@ -3547,19 +3481,22 @@ test = ["Cython (>=0.29.36,<0.30.0)", "aiohttp (==3.9.0b0)", "aiohttp (>=3.8.1)"
 
 [[package]]
 name = "wandb"
-version = "0.18.1"
+version = "0.19.1"
 description = "A CLI and library for interacting with the Weights & Biases API."
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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-    {file = "wandb-0.18.1-py3-none-macosx_11_0_arm64.whl", hash = "sha256:1f143b814b0fd51b5f1a676ad8b66bd06a5ee4ad22fc46bcbf24048d76c77d35"},
-    {file = "wandb-0.18.1-py3-none-macosx_11_0_x86_64.whl", hash = "sha256:86b73a9f94f18b07f0e937ae945560244b560b57c16a9dfb8f03e2516d0cc666"},
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-    {file = "wandb-0.18.1.tar.gz", hash = "sha256:d625e94d53ff4ff961c58a9a17f0a1ea35720d98b9db710a458235924469fc6b"},
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+    {file = "wandb-0.19.1-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:809b5ae83ed314b97db1077490f37d6c926c7c96fad9b6b5a2476534d54defb4"},
+    {file = "wandb-0.19.1-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:e01e9176b5ca9660226edcbfd9323019aa9bd5789a4b384d23ba53e062d3966e"},
+    {file = "wandb-0.19.1-py3-none-win32.whl", hash = "sha256:093cc5c39ce629390c4f465b1ae89bab2ee9b29c2a46c8b5143858dd8c73264b"},
+    {file = "wandb-0.19.1-py3-none-win_amd64.whl", hash = "sha256:1fc9d403fffb84e37f4e56a075b26b639e9f489899c9b9db9f46e3a7b7d93c64"},
+    {file = "wandb-0.19.1.tar.gz", hash = "sha256:a9b4bf790c468e7b350eeaba2de002672a5cbaa3049899ab060940e2388f429a"},
 ]
 
 [package.dependencies]
@@ -3569,11 +3506,13 @@ gitpython = ">=1.0.0,<3.1.29 || >3.1.29"
 platformdirs = "*"
 protobuf = {version = ">=3.19.0,<4.21.0 || >4.21.0,<5.28.0 || >5.28.0,<6", markers = "python_version > \"3.9\" or sys_platform != \"linux\""}
 psutil = ">=5.0.0"
+pydantic = ">=2.6,<3"
 pyyaml = "*"
 requests = ">=2.0.0,<3"
-sentry-sdk = ">=1.0.0"
+sentry-sdk = ">=2.0.0"
 setproctitle = "*"
 setuptools = "*"
+typing-extensions = {version = ">=4.4,<5", markers = "python_version < \"3.12\""}
 
 [package.extras]
 aws = ["boto3"]
@@ -3582,7 +3521,7 @@ gcp = ["google-cloud-storage"]
 importers = ["filelock", "mlflow", "polars (<=1.2.1)", "rich", "tenacity"]
 kubeflow = ["google-cloud-storage", "kubernetes", "minio", "sh"]
 launch = ["awscli", "azure-containerregistry", "azure-identity", "azure-storage-blob", "boto3", "botocore", "chardet", "google-auth", "google-cloud-aiplatform", "google-cloud-artifact-registry", "google-cloud-compute", "google-cloud-storage", "iso8601", "jsonschema", "kubernetes", "kubernetes-asyncio", "nbconvert", "nbformat", "optuna", "pydantic", "pyyaml (>=6.0.0)", "tomli", "typing-extensions"]
-media = ["bokeh", "moviepy", "numpy", "pillow", "plotly (>=5.18.0)", "rdkit-pypi", "soundfile"]
+media = ["bokeh", "imageio", "moviepy", "numpy", "pillow", "plotly (>=5.18.0)", "rdkit", "soundfile"]
 models = ["cloudpickle"]
 perf = ["orjson"]
 sweeps = ["sweeps (>=0.2.0)"]
@@ -4044,4 +3983,4 @@ test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools",
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.10,<3.13"
-content-hash = "b299d23aa59c4037b5eb1b607043707a72aad756b6824b814e4639fc6f5ead5e"
+content-hash = "fbd08b88febfcf8b151d1fe93c90b9c948879fe37a90c065aa1f88d6183471ca"
diff --git a/install/rocm/pyproject.toml b/install/rocm/pyproject.toml
index ce565c9c..a019059c 100644
--- a/install/rocm/pyproject.toml
+++ b/install/rocm/pyproject.toml
@@ -15,8 +15,8 @@ torchmetrics = {version = "^1", source = "pytorch-rocm"}
 torchvision = {version = "^0.19.1+rocm6.0", source = "pytorch-rocm"}
 pytorch-triton-rocm = {version = "*", source = "pytorch-rocm"}
 accelerate = "^1.2.1"
-boto3 = "^1.35.24"
-botocore = "^1.35.24"
+boto3 = "^1.35.83"
+botocore = "^1.35.83"
 clip-interrogator = "^0.6.0"
 colorama = "^0.4.6"
 compel = "^2"
@@ -24,20 +24,20 @@ datasets = "^3.0.0"
 deepspeed = "^0.16.1"
 diffusers = {git = "https://github.com/huggingface/diffusers"}
 iterutils = "^0.1.6"
-numpy = "1.26"
+numpy = "^2.2.0"
 open-clip-torch = "^2.26.1"
 opencv-python = "^4.10.0.84"
 pandas = "^2.2.3"
-peft = "^0.12.0"
-pillow = "^10.4.0"
+peft = "^0.14.0"
+pillow = "^11.0.0"
 requests = "^2.32.3"
 safetensors = "^0.4.5"
 scipy = "^1"
-tensorboard = "^2.17.1"
-torchsde = "^0.2"
-transformers = "^4.44.2"
+tensorboard = "^2.18.0"
+torchsde = "^0.2.6"
+transformers = "^4.47.1"
 urllib3 = "<1.27"
-wandb = "^0.18.1"
+wandb = "^0.19.1"
 sentencepiece = "^0.2.0"
 optimum-quanto = {git = "https://github.com/huggingface/optimum-quanto"}
 lycoris-lora = {git = "https://github.com/kohakublueleaf/lycoris", rev = "dev"}
diff --git a/poetry.lock b/poetry.lock
index 5c047c4f..f4f7c2f8 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -274,17 +274,17 @@ test = ["lion_pytorch", "scipy"]
 
 [[package]]
 name = "boto3"
-version = "1.35.46"
+version = "1.35.83"
 description = "The AWS SDK for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "boto3-1.35.46-py3-none-any.whl", hash = "sha256:a839ce09a844d92e0039f95851e88da9df80c89ebb4c7818b3e78247fd97a8a7"},
-    {file = "boto3-1.35.46.tar.gz", hash = "sha256:c9bab807b372d5b076d6aeb1d6513131fa0b74e32d8895128f8568b6521296ea"},
+    {file = "boto3-1.35.83-py3-none-any.whl", hash = "sha256:a4828d67b12892cb11fe9e6d86f40975a06db470676e61194968e3a32ec4c536"},
+    {file = "boto3-1.35.83.tar.gz", hash = "sha256:df2e0d57241de0f9c31b62e73093c2126e4fd73b87b1897ecf280a1b87a2b825"},
 ]
 
 [package.dependencies]
-botocore = ">=1.35.46,<1.36.0"
+botocore = ">=1.35.83,<1.36.0"
 jmespath = ">=0.7.1,<2.0.0"
 s3transfer = ">=0.10.0,<0.11.0"
 
@@ -293,13 +293,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
 
 [[package]]
 name = "botocore"
-version = "1.35.46"
+version = "1.35.83"
 description = "Low-level, data-driven core of boto 3."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "botocore-1.35.46-py3-none-any.whl", hash = "sha256:8bbc9a55cae65a8db7f2e33ff087f4dbfc13fce868e8e3c5273ce9af367a555a"},
-    {file = "botocore-1.35.46.tar.gz", hash = "sha256:8c0ff5fdd611a28f5752189d171c69690dbc484fa06d74376890bb0543ec3dc1"},
+    {file = "botocore-1.35.83-py3-none-any.whl", hash = "sha256:ba363183e4df79fbcfd5f3600fd473bd45a1de03d0d0b5e78abd59f276971d27"},
+    {file = "botocore-1.35.83.tar.gz", hash = "sha256:df5e4384838e50bbafd47e9b5fefb995e83cbb9412e7cd7c0db9555174d91bba"},
 ]
 
 [package.dependencies]
@@ -1650,7 +1650,7 @@ source = ["Cython (>=3.0.11)"]
 
 [[package]]
 name = "lycoris_lora"
-version = "3.1.0"
+version = "3.1.1.post1"
 description = "Lora beYond Conventional methods, Other Rank adaptation Implementations for Stable diffusion"
 optional = false
 python-versions = ">=3.10"
@@ -1667,7 +1667,7 @@ tqdm = "*"
 type = "git"
 url = "https://github.com/kohakublueleaf/lycoris"
 reference = "dev"
-resolved_reference = "258387f586beabfca71646a9671027f75ed34597"
+resolved_reference = "272743551dc4de0452c4961e08687162fb272b99"
 
 [[package]]
 name = "markdown"
@@ -2149,43 +2149,66 @@ numpy = ">=1.23.0"
 
 [[package]]
 name = "numpy"
-version = "1.26.0"
+version = "2.2.0"
 description = "Fundamental package for array computing in Python"
 optional = false
-python-versions = "<3.13,>=3.9"
-files = [
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 packaging = ">=20.0"
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 transformers = "*"
 
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 [package.extras]
-docs = ["furo", "olefile", "sphinx (>=7.3)", "sphinx-copybutton", "sphinx-inline-tabs", "sphinxext-opengraph"]
+docs = ["furo", "olefile", "sphinx (>=8.1)", "sphinx-copybutton", "sphinx-inline-tabs", "sphinxext-opengraph"]
 fpx = ["olefile"]
 mic = ["olefile"]
 tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"]
@@ -4124,111 +4142,26 @@ torchvision = "*"
 
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 visual = ["SciencePlots (>=2.0.0)", "matplotlib (>=3.6.0)"]
 
 [[package]]
@@ -4489,39 +4422,39 @@ files = [
 
 [[package]]
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 description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
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+    {file = "wandb-0.19.1-py3-none-macosx_11_0_x86_64.whl", hash = "sha256:7541efa8ffab715ba932fcb5117c4255a47cadebf0365d1dc1eb684a94744573"},
+    {file = "wandb-0.19.1-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ec64a859478b9f5bcf894aedd2bcccaf6917abe7b8adbd722b2a43b7063d33db"},
+    {file = "wandb-0.19.1-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:405000bc3d2e369934ff1266fcc55ff968e4a0f24c2fdaa9a0585b170c01b60c"},
+    {file = "wandb-0.19.1-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:809b5ae83ed314b97db1077490f37d6c926c7c96fad9b6b5a2476534d54defb4"},
+    {file = "wandb-0.19.1-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:e01e9176b5ca9660226edcbfd9323019aa9bd5789a4b384d23ba53e062d3966e"},
+    {file = "wandb-0.19.1-py3-none-win32.whl", hash = "sha256:093cc5c39ce629390c4f465b1ae89bab2ee9b29c2a46c8b5143858dd8c73264b"},
+    {file = "wandb-0.19.1-py3-none-win_amd64.whl", hash = "sha256:1fc9d403fffb84e37f4e56a075b26b639e9f489899c9b9db9f46e3a7b7d93c64"},
+    {file = "wandb-0.19.1.tar.gz", hash = "sha256:a9b4bf790c468e7b350eeaba2de002672a5cbaa3049899ab060940e2388f429a"},
 ]
 
 [package.dependencies]
@@ -4782,6 +4716,7 @@ gitpython = ">=1.0.0,<3.1.29 || >3.1.29"
 platformdirs = "*"
 protobuf = {version = ">=3.19.0,<4.21.0 || >4.21.0,<5.28.0 || >5.28.0,<6", markers = "python_version > \"3.9\" or sys_platform != \"linux\""}
 psutil = ">=5.0.0"
+pydantic = ">=2.6,<3"
 pyyaml = "*"
 requests = ">=2.0.0,<3"
 sentry-sdk = ">=2.0.0"
@@ -5392,4 +5327,4 @@ cffi = ["cffi (>=1.11)"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.10,<3.12"
-content-hash = "13310911663e0b34b12601e03616a757f23b5f166519fcf450e8c579cf33cb70"
+content-hash = "3d5bf1d8e4086ff4e2c2f769b3c99eaae79fc65003de82608d1a468d588c2bf4"
diff --git a/pyproject.toml b/pyproject.toml
index 9ad79885..582d3ad5 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -12,12 +12,12 @@ python = ">=3.10,<3.12"
 torch = {version = "^2.5.1+cu124", source = "pytorch"}
 torchvision = {version = "^0.20.1+cu124", source = "pytorch"}
 diffusers = {git = "https://github.com/huggingface/diffusers"}
-transformers = "^4.45.1"
+transformers = "^4.47.1"
 datasets = "^3.0.1"
 bitsandbytes = "^0.45.0"
-wandb = "^0.18.2"
+wandb = "^0.19.1"
 requests = "^2.32.3"
-pillow = "^10.4.0"
+pillow = "^11.0.0"
 opencv-python = "^4.10.0.84"
 deepspeed = "^0.16.1"
 accelerate = "^1.2.1"
@@ -27,18 +27,18 @@ clip-interrogator = "^0.6.0"
 open-clip-torch = "^2.26.1"
 iterutils = "^0.1.6"
 scipy = "^1.11.1"
-boto3 = "^1.35.24"
+boto3 = "^1.35.83"
 pandas = "^2.2.3"
-botocore = "^1.35.24"
+botocore = "^1.35.83"
 urllib3 = "<1.27"
 torchaudio = "^2.4.1"
 triton-library = "^1.0.0rc4"
-torchsde = "^0.2.5"
+torchsde = "^0.2.6"
 torchmetrics = "^1.1.1"
 colorama = "^0.4.6"
-numpy = "1.26"
-peft = "^0.12.0"
-tensorboard = "^2.17.1"
+numpy = "^2.2.0"
+peft = "^0.14.0"
+tensorboard = "^2.18.0"
 triton = {version = "^3.1.0", source = "pytorch"}
 sentencepiece = "^0.2.0"
 optimum-quanto = {git = "https://github.com/huggingface/optimum-quanto"}