add compiled windows file

Author: lstein

binary_installer/py3.10-windows-x86_64-cuda-reqs.txt

@@ -4,6 +4,7 @@
 #
 #    pip-compile --allow-unsafe --generate-hashes --output-file=installer/py3.10-windows-x86_64-cuda-reqs.txt installer/requirements.in
 #
+--extra-index-url https://download.pytorch.org/whl/torch_stable.html
 --extra-index-url https://download.pytorch.org/whl/cu116
 --trusted-host https
 
@@ -150,6 +151,10 @@ blinker==1.5 \
     --hash=sha256:1eb563df6fdbc39eeddc177d953203f99f097e9bf0e2b8f9f3cf18b6ca425e36 \
     --hash=sha256:923e5e2f69c155f2cc42dafbbd70e16e3fde24d2d4aa2ab72fbe386238892462
     # via streamlit
+boltons==21.0.0 \
+    --hash=sha256:65e70a79a731a7fe6e98592ecfb5ccf2115873d01dbc576079874629e5c90f13 \
+    --hash=sha256:b9bb7b58b2b420bbe11a6025fdef6d3e5edc9f76a42fb467afe7ca212ef9948b
+    # via torchsde
 cachetools==5.2.0 \
     --hash=sha256:6a94c6402995a99c3970cc7e4884bb60b4a8639938157eeed436098bf9831757 \
     --hash=sha256:f9f17d2aec496a9aa6b76f53e3b614c965223c061982d434d160f930c698a9db
@@ -614,8 +619,8 @@ jsonschema==4.17.0 \
     # via
     #   altair
     #   jsonmerge
-k-diffusion @ https://github.com/invoke-ai/k-diffusion/archive/7f16b2c33411f26b3eae78d10648d625cb0c1095.zip \
-    --hash=sha256:c3f2c84036aa98c3abf4552fafab04df5ca472aa639982795e05bb1db43ce5e4
+k-diffusion @ https://github.com/Birch-san/k-diffusion/archive/363386981fee88620709cf8f6f2eea167bd6cd74.zip \
+    --hash=sha256:8eac5cdc08736e6d61908a1b2948f2b2f62691b01dc1aab978bddb3451af0d66
     # via -r installer/requirements.in
 kiwisolver==1.4.4 \
     --hash=sha256:02f79693ec433cb4b5f51694e8477ae83b3205768a6fb48ffba60549080e295b \
@@ -1009,6 +1014,7 @@ numpy==1.23.4 \
     #   tifffile
     #   torch-fidelity
     #   torchmetrics
+    #   torchsde
     #   torchvision
     #   transformers
 oauthlib==3.2.2 \
@@ -1660,6 +1666,7 @@ scipy==1.9.3 \
     #   scikit-learn
     #   torch-fidelity
     #   torchdiffeq
+    #   torchsde
 semver==2.13.0 \
     --hash=sha256:ced8b23dceb22134307c1b8abfa523da14198793d9787ac838e70e29e77458d4 \
     --hash=sha256:fa0fe2722ee1c3f57eac478820c3a5ae2f624af8264cbdf9000c980ff7f75e3f
@@ -1863,6 +1870,7 @@ torch==1.12.0+cu116 ; platform_system == "Linux" or platform_system == "Windows"
     #   torch-fidelity
     #   torchdiffeq
     #   torchmetrics
+    #   torchsde
     #   torchvision
 torch-fidelity==0.3.0 \
     --hash=sha256:3d3e33db98919759cc4f3f24cb27e1e74bdc7c905d90a780630e4e1c18492b66 \
@@ -1876,6 +1884,10 @@ torchmetrics==0.10.2 \
     --hash=sha256:43757d82266969906fc74b6e80766fcb2a0d52d6c3d09e3b7c98cf3b733fd20c \
     --hash=sha256:daa29d96bff5cff04d80eec5b9f5076993d6ac9c2d2163e88b6b31f8d38f7c25
     # via pytorch-lightning
+torchsde==0.2.5 \
+    --hash=sha256:222be9e15610d37a4b5a71cfa0c442178f9fd9ca02f6522a3e11c370b3d0906b \
+    --hash=sha256:4c34373a94a357bdf60bbfee00c850f3563d634491555820b900c9a4f7eff300
+    # via k-diffusion
 torchvision==0.13.0+cu116 ; platform_system == "Linux" or platform_system == "Windows" \
     --hash=sha256:1696feadf1921c8fa1549bad774221293298288ebedaa14e44bc3e57e964a369 \
     --hash=sha256:572544b108eaf12638f3dca0f496a453c4b8d8256bcc8333d5355df641c0380c \
@@ -1925,6 +1937,9 @@ tqdm==4.64.1 \
     #   taming-transformers-rom1504
     #   torch-fidelity
     #   transformers
+trampoline==0.1.2 \
+    --hash=sha256:36cc9a4ff9811843d177fc0e0740efbd7da39eadfe6e50c9e2937cbc06d899d9
+    # via torchsde
 transformers==4.24.0 \
     --hash=sha256:486f353a8e594002e48be0e2aba723d96eda839e63bfe274702a4b5eda85559b \
     --hash=sha256:b7ab50039ef9bf817eff14ab974f306fd20a72350bdc9df3a858fd009419322e