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Update dependencies for compatibility with CUDA versions

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vegu-ai-tools
2026-07-02 10:58:28 +03:00
parent 4e8664afed
commit 8fda5a428b
2 changed files with 39 additions and 37 deletions
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4
pyproject.toml
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@@ -62,7 +62,9 @@ dependencies = [
# "chatterbox-tts==0.1.2",
# tts_webui_chatterbox_tts is much faster without seeminly any quality loss
"tts_webui_chatterbox_tts==0.4.4",
"torchcodec>=0.9.0",
# 0.14.0 wheels link against the CUDA 13 runtime (libnvrtc.so.13); our torch
# comes from the cu128 (CUDA 12.8) index, so cap below 0.14 to stay compatible.
"torchcodec>=0.9.0,<0.14",
# kokoro TTS
"kokoro>=0.9.4",
"soundfile>=0.13.1",

72
uv.lock generated
View File

@@ -14,7 +14,7 @@ resolution-markers = [
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@@ -1127,7 +1127,7 @@ name = "cuda-bindings"
version = "12.9.7"
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@@ -1158,37 +1158,37 @@ wheels = [
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@@ -3505,7 +3505,7 @@ name = "nvidia-cudnn-cu12"
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@@ -3517,7 +3517,7 @@ name = "nvidia-cufft-cu12"
version = "11.3.3.83"
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@@ -3547,9 +3547,9 @@ name = "nvidia-cusolver-cu12"
version = "11.7.3.90"
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@@ -3561,7 +3561,7 @@ name = "nvidia-cusparse-cu12"
version = "12.5.8.93"
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@@ -5385,8 +5385,8 @@ name = "secretstorage"
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{ name = "cryptography" },
{ name = "jeepney" },
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@@ -5993,7 +5993,7 @@ requires-dist = [
{ name = "tiktoken", specifier = ">=0.5.1" },
{ name = "torch", specifier = ">=2.7.1", index = "https://download.pytorch.org/whl/cu128" },
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{ name = "torchcodec", specifier = ">=0.9.0" },
{ name = "torchcodec", specifier = ">=0.9.0,<0.14" },
{ name = "transformers", specifier = "<5" },
{ name = "tts-webui-chatterbox-tts", specifier = "==0.4.4" },
{ name = "typing-extensions", specifier = ">=4.5.0" },
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