10 ms·

damnn, lemme fix it, sorry for that. we may have forgotten to remove the redundant dependencies. i'll comment here once i push the change. thanks a lot for tryi

damnn, lemme fix it, sorry for that. we may have forgotten to remove the redundant dependencies. i'll comment here once i push the change. thanks a lot for trying it and giving feedback.

deathanatos 6mo ago
It's mostly torch, I think. It pulls in NVIDIA libs (which … makes sense, I guess), and NVIDIA is just not at all judicious when it comes to disk space. I literally run out of disk trying to install this on Linux. On macOS, it's a markedly different experience: it's only ~700 MiB there; I'm assuming b/c no NVIDIA libs get pulled in, b/c why would they. For anyone who might want to play around with this: I can get down to ~3 GiB (& about 1.3 GiB if you wipe your uv cache afterwards) on Linux if I add the following to the end of `pyproject.toml`: [tool.uv.sources] # This tells uv to use the specific index for torch, torchvision, and torchaudio torch = [ {index = "pytorch-cpu"} ] torchvision = [ {index = "pytorch-cpu"} ] torchaudio = [ {index = "pytorch-cpu"} ] [[tool.uv.index]] name = "pytorch-cpu" url = "https://download.pytorch.org/whl/cpu" & add "torch" to the direct dependencies, b/c otherwise it seems like uv is ignoring the source? (… which of course downloads a CPU-only torch.) This is an example of what one sees under Linux: nvidia-nvjitlink-cu12 ------------------------------ 23.83 MiB/37.44 MiB nvidia-curand-cu12 ------------------------------ 23.79 MiB/60.67 MiB nvidia-cuda-nvrtc-cu12 ------------------------------ 23.87 MiB/83.96 MiB nvidia-nvshmem-cu12 ------------------------------ 23.62 MiB/132.66 MiB triton ------------------------------ 23.82 MiB/179.55 MiB nvidia-cufft-cu12 ------------------------------ 23.76 MiB/184.17 MiB nvidia-cusolver-cu12 ------------------------------ 23.84 MiB/255.11 MiB nvidia-cusparselt-cu12 ------------------------------ 23.99 MiB/273.89 MiB nvidia-cusparse-cu12 ------------------------------ 23.96 MiB/274.86 MiB nvidia-nccl-cu12 ------------------------------ 23.79 MiB/307.42 MiB nvidia-cublas-cu12 ------------------------------ 23.73 MiB/566.81 MiB nvidia-cudnn-cu12 ------------------------------ 23.56 MiB/674.02 MiB torch ------------------------------ 23.75 MiB/873.22 MiB That's not all the libraries, either, but you can see NVIDIA here is easily over 1 GiB. It also then crashes for me, with: File "KittenTTS/.venv/lib/python3.14/site-packages/pydantic/v1/fields.py", line 576, in _set_default_and_type raise errors_.ConfigError(f'unable to infer type for attribute "{self.name}"') pydantic.v1.errors.ConfigError: unable to infer type for attribute "REGEX" Which seems to be [this bug in spacey](https://github.com/explosion/spaCy/issues/13895 https://github.com/explosion/spaCy/issues/13895), so I'm going to have to try adding `<3.14` to `requires-python` in `pyproject.toml` too I think. That is, for anyone wanting to try this out: -requires-python = ">=3.8" +requires-python = ">=3.8,<3.14" (This isn't really something KittenTTS should have to do, since this is a bug in spacey … and ideally, at some point, spacey will fix it.) Also: + curated-tokenizers==0.0.9 This version is so utterly ancient that there aren't wheels for it anymore, so that means a loooong wait while this builds. It's pulled in via misaki, and my editor says your one import of misaki is unused. Hilariously, removing it breaks but only on macOS machine. I think you're using it solely for the side-effect that it tweaks phonemizer to use espeakng, but you can just do that tweak yourself, & then I think that dependency can be dropped. That drops a good number of dependencies & really speeds up the installation since we're not compiling a bunch of stuff. You need to add `phonemizer-fork` to your dependencies. (If you remove misaki, you'll find this missing.)
- rohan_joshi 6mo ago
  thanks a lot for sharing this, its v helpful for fixing the env issues. we'll fix all of them by the weekend.

damnn, lemme fix it, sorry for that. we may have forgotten to remove the redundant dependencies. i'll comment here once i push the change. thanks a lot for trying it and giving feedback.

deathanatos 6mo ago

It's mostly torch, I think. It pulls in NVIDIA libs (which … makes sense, I guess), and NVIDIA is just not at all judicious when it comes to disk space. I literally run out of disk trying to install this on Linux. On macOS, it's a markedly different experience: it's only ~700 MiB there; I'm assuming b/c no NVIDIA libs get pulled in, b/c why would they. For anyone who might want to play around with this: I can get down to ~3 GiB (& about 1.3 GiB if you wipe your uv cache afterwards) on Linux if I add the following to the end of `pyproject.toml`: [tool.uv.sources] # This tells uv to use the specific index for torch, torchvision, and torchaudio torch = [ {index = "pytorch-cpu"} ] torchvision = [ {index = "pytorch-cpu"} ] torchaudio = [ {index = "pytorch-cpu"} ] [[tool.uv.index]] name = "pytorch-cpu" url = "https://download.pytorch.org/whl/cpu" & add "torch" to the direct dependencies, b/c otherwise it seems like uv is ignoring the source? (… which of course downloads a CPU-only torch.) This is an example of what one sees under Linux: nvidia-nvjitlink-cu12 ------------------------------ 23.83 MiB/37.44 MiB nvidia-curand-cu12 ------------------------------ 23.79 MiB/60.67 MiB nvidia-cuda-nvrtc-cu12 ------------------------------ 23.87 MiB/83.96 MiB nvidia-nvshmem-cu12 ------------------------------ 23.62 MiB/132.66 MiB triton ------------------------------ 23.82 MiB/179.55 MiB nvidia-cufft-cu12 ------------------------------ 23.76 MiB/184.17 MiB nvidia-cusolver-cu12 ------------------------------ 23.84 MiB/255.11 MiB nvidia-cusparselt-cu12 ------------------------------ 23.99 MiB/273.89 MiB nvidia-cusparse-cu12 ------------------------------ 23.96 MiB/274.86 MiB nvidia-nccl-cu12 ------------------------------ 23.79 MiB/307.42 MiB nvidia-cublas-cu12 ------------------------------ 23.73 MiB/566.81 MiB nvidia-cudnn-cu12 ------------------------------ 23.56 MiB/674.02 MiB torch ------------------------------ 23.75 MiB/873.22 MiB That's not all the libraries, either, but you can see NVIDIA here is easily over 1 GiB. It also then crashes for me, with: File "KittenTTS/.venv/lib/python3.14/site-packages/pydantic/v1/fields.py", line 576, in _set_default_and_type raise errors_.ConfigError(f'unable to infer type for attribute "{self.name}"') pydantic.v1.errors.ConfigError: unable to infer type for attribute "REGEX" Which seems to be [this bug in spacey](https://github.com/explosion/spaCy/issues/13895 https://github.com/explosion/spaCy/issues/13895), so I'm going to have to try adding `<3.14` to `requires-python` in `pyproject.toml` too I think. That is, for anyone wanting to try this out: -requires-python = ">=3.8" +requires-python = ">=3.8,<3.14" (This isn't really something KittenTTS should have to do, since this is a bug in spacey … and ideally, at some point, spacey will fix it.) Also: + curated-tokenizers==0.0.9 This version is so utterly ancient that there aren't wheels for it anymore, so that means a loooong wait while this builds. It's pulled in via misaki, and my editor says your one import of misaki is unused. Hilariously, removing it breaks but only on macOS machine. I think you're using it solely for the side-effect that it tweaks phonemizer to use espeakng, but you can just do that tweak yourself, & then I think that dependency can be dropped. That drops a good number of dependencies & really speeds up the installation since we're not compiling a bunch of stuff. You need to add `phonemizer-fork` to your dependencies. (If you remove misaki, you'll find this missing.)

rohan_joshi 6mo ago
thanks a lot for sharing this, its v helpful for fixing the env issues. we'll fix all of them by the weekend.