Closed ZeroCool22 closed 1 month ago
Please do env\python -m pip freeze >list.txt
and provide that instead of the screenshot.
but if you're cloning the repo, you need to be ready to fix it all by yourself.
Please do
env\python -m pip freeze >list.txt
and provide that instead of the screenshot.but if you're cloning the repo, you need to be ready to fix it all by yourself.
It doesn't show nothing:
https://github.com/user-attachments/assets/c634dd4b-e8ca-4970-ba94-c95a022c364b
I also let you here the install process log:
Welcome to the Applio Installer
Cleaning up unnecessary files...
Cleanup complete.
Miniconda already installed. Skipping installation.
Creating Conda environment...
Collecting package metadata (current_repodata.json): done
Solving environment: done
## Package Plan ##
environment location: C:\Applio\env
added / updated specs:
- python=3.9
The following packages will be downloaded:
package | build
---------------------------|-----------------
ca-certificates-2024.9.24 | haa95532_0 131 KB
openssl-3.0.15 | h827c3e9_0 7.8 MB
pip-24.2 | py39haa95532_0 2.4 MB
python-3.9.19 | h1aa4202_1 19.6 MB
setuptools-75.1.0 | py39haa95532_0 1.6 MB
sqlite-3.45.3 | h2bbff1b_0 973 KB
tzdata-2024a | h04d1e81_0 116 KB
vc-14.40 | h2eaa2aa_1 10 KB
vs2015_runtime-14.40.33807 | h98bb1dd_1 1.3 MB
wheel-0.44.0 | py39haa95532_0 137 KB
------------------------------------------------------------
Total: 34.0 MB
The following NEW packages will be INSTALLED:
ca-certificates pkgs/main/win-64::ca-certificates-2024.9.24-haa95532_0
openssl pkgs/main/win-64::openssl-3.0.15-h827c3e9_0
pip pkgs/main/win-64::pip-24.2-py39haa95532_0
python pkgs/main/win-64::python-3.9.19-h1aa4202_1
setuptools pkgs/main/win-64::setuptools-75.1.0-py39haa95532_0
sqlite pkgs/main/win-64::sqlite-3.45.3-h2bbff1b_0
tzdata pkgs/main/noarch::tzdata-2024a-h04d1e81_0
vc pkgs/main/win-64::vc-14.40-h2eaa2aa_1
vs2015_runtime pkgs/main/win-64::vs2015_runtime-14.40.33807-h98bb1dd_1
wheel pkgs/main/win-64::wheel-0.44.0-py39haa95532_0
Downloading and Extracting Packages
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
#
# To activate this environment, use
#
# $ conda activate C:\Applio\env
#
# To deactivate an active environment, use
#
# $ conda deactivate
Conda environment created successfully.
Installing specific pip version...
Collecting pip<24.1
Using cached pip-24.0-py3-none-any.whl.metadata (3.6 kB)
Using cached pip-24.0-py3-none-any.whl (2.1 MB)
Installing collected packages: pip
Attempting uninstall: pip
Found existing installation: pip 24.2
Uninstalling pip-24.2:
Successfully uninstalled pip-24.2
WARNING: The scripts pip.exe, pip3.9.exe and pip3.exe are installed in 'C:\Applio\env\Scripts' which is not on PATH.
Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
Successfully installed pip-24.0
Pip installation complete.
Installing dependencies...
Requirement already satisfied: setuptools in c:\applio\env\lib\site-packages (75.1.0)
[notice] A new release of pip is available: 24.0 -> 24.2
[notice] To update, run: python.exe -m pip install --upgrade pip
Ignoring pip: markers 'sys_platform == "darwin"' don't match your environment
Ignoring wheel: markers 'sys_platform == "darwin"' don't match your environment
Ignoring PyYAML: markers 'sys_platform == "darwin"' don't match your environment
Ignoring omegaconf: markers 'sys_platform == "darwin"' don't match your environment
Ignoring numba: markers 'sys_platform == "linux"' don't match your environment
Ignoring certifi: markers 'sys_platform == "darwin"' don't match your environment
Ignoring antlr4-python3-runtime: markers 'sys_platform == "darwin"' don't match your environment
Collecting numpy==1.23.5 (from -r C:\Applio\requirements.txt (line 5))
Using cached numpy-1.23.5-cp39-cp39-win_amd64.whl.metadata (2.3 kB)
Collecting requests==2.32.0 (from -r C:\Applio\requirements.txt (line 6))
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Using cached tqdm-4.66.5-py3-none-any.whl.metadata (57 kB)
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Using cached wget-3.2-py3-none-any.whl
Collecting pydantic==2.8.2 (from -r C:\Applio\requirements.txt (line 9))
Using cached pydantic-2.8.2-py3-none-any.whl.metadata (125 kB)
Collecting fastapi==0.112.0 (from -r C:\Applio\requirements.txt (line 10))
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Collecting starlette==0.37.2 (from -r C:\Applio\requirements.txt (line 11))
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Collecting ffmpeg-python>=0.2.0 (from -r C:\Applio\requirements.txt (line 14))
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Collecting faiss-cpu==1.7.3 (from -r C:\Applio\requirements.txt (line 15))
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Collecting librosa==0.9.2 (from -r C:\Applio\requirements.txt (line 16))
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Collecting pyworld==0.3.4 (from -r C:\Applio\requirements.txt (line 17))
Using cached pyworld-0.3.4-cp39-cp39-win_amd64.whl.metadata (6.4 kB)
Collecting scipy==1.11.1 (from -r C:\Applio\requirements.txt (line 18))
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Collecting soundfile==0.12.1 (from -r C:\Applio\requirements.txt (line 19))
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Collecting torchvision==0.18.1 (from -r C:\Applio\requirements.txt (line 32))
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Collecting torchcrepe==0.0.23 (from -r C:\Applio\requirements.txt (line 33))
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Collecting transformers==4.44.2 (from -r C:\Applio\requirements.txt (line 37))
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Collecting matplotlib==3.7.2 (from -r C:\Applio\requirements.txt (line 40))
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Collecting tensorboard (from -r C:\Applio\requirements.txt (line 41))
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Collecting gradio==4.43.0 (from -r C:\Applio\requirements.txt (line 42))
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Collecting ffmpy==0.3.1 (from -r C:\Applio\requirements.txt (line 47))
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Collecting edge-tts==6.1.9 (from -r C:\Applio\requirements.txt (line 49))
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Collecting charset-normalizer<4,>=2 (from requests==2.32.0->-r C:\Applio\requirements.txt (line 6))
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Collecting idna<4,>=2.5 (from requests==2.32.0->-r C:\Applio\requirements.txt (line 6))
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Collecting urllib3<3,>=1.21.1 (from requests==2.32.0->-r C:\Applio\requirements.txt (line 6))
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Collecting certifi>=2017.4.17 (from requests==2.32.0->-r C:\Applio\requirements.txt (line 6))
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Collecting annotated-types>=0.4.0 (from pydantic==2.8.2->-r C:\Applio\requirements.txt (line 9))
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Collecting pydantic-core==2.20.1 (from pydantic==2.8.2->-r C:\Applio\requirements.txt (line 9))
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Collecting typing-extensions>=4.6.1 (from pydantic==2.8.2->-r C:\Applio\requirements.txt (line 9))
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Collecting anyio<5,>=3.4.0 (from starlette==0.37.2->-r C:\Applio\requirements.txt (line 11))
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Collecting audioread>=2.1.9 (from librosa==0.9.2->-r C:\Applio\requirements.txt (line 16))
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Collecting scikit-learn>=0.19.1 (from librosa==0.9.2->-r C:\Applio\requirements.txt (line 16))
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Collecting joblib>=0.14 (from librosa==0.9.2->-r C:\Applio\requirements.txt (line 16))
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Collecting decorator>=4.0.10 (from librosa==0.9.2->-r C:\Applio\requirements.txt (line 16))
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Collecting resampy>=0.2.2 (from librosa==0.9.2->-r C:\Applio\requirements.txt (line 16))
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Collecting pooch>=1.0 (from librosa==0.9.2->-r C:\Applio\requirements.txt (line 16))
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Collecting packaging>=20.0 (from librosa==0.9.2->-r C:\Applio\requirements.txt (line 16))
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Collecting cython>=0.24 (from pyworld==0.3.4->-r C:\Applio\requirements.txt (line 17))
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Collecting cffi>=1.0 (from soundfile==0.12.1->-r C:\Applio\requirements.txt (line 19))
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Collecting pillow!=8.3.*,>=5.3.0 (from torchvision==0.18.1->-r C:\Applio\requirements.txt (line 32))
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Collecting safetensors>=0.4.1 (from transformers==4.44.2->-r C:\Applio\requirements.txt (line 37))
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Collecting cycler>=0.10 (from matplotlib==3.7.2->-r C:\Applio\requirements.txt (line 40))
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Collecting fonttools>=4.22.0 (from matplotlib==3.7.2->-r C:\Applio\requirements.txt (line 40))
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Collecting pyparsing<3.1,>=2.3.1 (from matplotlib==3.7.2->-r C:\Applio\requirements.txt (line 40))
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Using cached tzdata-2024.2-py2.py3-none-any.whl (346 kB)
Using cached wcwidth-0.2.13-py2.py3-none-any.whl (34 kB)
Using cached websockets-12.0-cp39-cp39-win_amd64.whl (124 kB)
Using cached yarl-1.13.1-cp39-cp39-win_amd64.whl (112 kB)
Using cached zipp-3.20.2-py3-none-any.whl (9.2 kB)
Using cached dlinfo-1.2.1-py3-none-any.whl (3.6 kB)
Using cached pycparser-2.22-py3-none-any.whl (117 kB)
Using cached segments-2.2.1-py2.py3-none-any.whl (15 kB)
Using cached clldutils-3.22.2-py2.py3-none-any.whl (1.7 MB)
Using cached csvw-3.3.1-py2.py3-none-any.whl (57 kB)
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Using cached bibtexparser-2.0.0b7-py3-none-any.whl (38 kB)
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Using cached isodate-0.6.1-py2.py3-none-any.whl (41 kB)
Using cached jsonschema-4.23.0-py3-none-any.whl (88 kB)
Using cached language_tags-1.2.0-py3-none-any.whl (213 kB)
Using cached lxml-5.3.0-cp39-cp39-win_amd64.whl (3.8 MB)
Using cached rdflib-7.0.0-py3-none-any.whl (531 kB)
Using cached jsonschema_specifications-2023.12.1-py3-none-any.whl (18 kB)
Using cached referencing-0.35.1-py3-none-any.whl (26 kB)
Using cached rpds_py-0.20.0-cp39-none-win_amd64.whl (213 kB)
Installing collected packages: wget, wcwidth, tbb, rfc3986, pytz, pylatexenc, pydub, progressbar, mpmath, language-tags, intel-openmp, ffmpy, faiss-cpu, dlinfo, zipp, websockets, urllib3, uritemplate, unidecode, tzdata, typing-extensions, tomlkit, threadpoolctl, tensorboard-data-server, tabulate, sympy, soupsieve, sniffio, six, shellingham, semantic-version, safetensors, ruff, rpds-py, regex, pyyaml, python-multipart, pypresence, pyparsing, pygments, pycparser, protobuf, platformdirs, pillow, packaging, orjson, numpy, networkx, mkl, mdurl, markupsafe, lxml, llvmlite, kiwisolver, joblib, itsdangerous, idna, h11, grpcio, future, ftfy, fsspec, frozenlist, fonttools, filelock, exceptiongroup, einops, decorator, cython, cycler, colorama, charset-normalizer, chardet, certifi, blinker, bibtexparser, babel, audioread, attrs, async-timeout, annotated-types, aiohappyeyeballs, aiofiles, absl-py, werkzeug, tqdm, tensorboardX, scipy, requests, referencing, pyworld, python-dateutil, pydantic-core, praat-parselmouth, pedalboard, numba, multidict, markdown-it-py, jinja2, isodate, importlib-resources, importlib-metadata, httpcore, ffmpeg-python, contourpy, colorlog, click, cffi, beautifulsoup4, anyio, aiosignal, yarl, uvicorn, torch, starlette, soundfile, scikit-learn, rich, resampy, rdflib, pydantic, pooch, pandas, matplotlib, markdown, jsonschema-specifications, huggingface-hub, httpx, flask, typer, torchvision, torchaudio, tokenizers, tensorboard, stftpitchshift, local-attention, librosa, jsonschema, gradio-client, fastapi, clldutils, aiohttp, transformers, torchlibrosa, torchfcpe, torchcrepe, timm, noisereduce, libf0, gradio, edge-tts, csvw, segments, phonemizer, versatile-audio-upscaler
Successfully installed absl-py-2.1.0 aiofiles-23.2.1 aiohappyeyeballs-2.4.3 aiohttp-3.10.8 aiosignal-1.3.1 annotated-types-0.7.0 anyio-4.6.0 async-timeout-4.0.3 attrs-24.2.0 audioread-3.0.1 babel-2.16.0 beautifulsoup4-4.12.3 bibtexparser-2.0.0b7 blinker-1.8.2 certifi-2023.7.22 cffi-1.17.1 chardet-5.2.0 charset-normalizer-3.3.2 click-8.1.7 clldutils-3.22.2 colorama-0.4.6 colorlog-6.8.2 contourpy-1.3.0 csvw-3.3.1 cycler-0.12.1 cython-3.0.11 decorator-5.1.1 dlinfo-1.2.1 edge-tts-6.1.9 einops-0.8.0 exceptiongroup-1.2.2 faiss-cpu-1.7.3 fastapi-0.112.0 ffmpeg-python-0.2.0 ffmpy-0.3.1 filelock-3.16.1 flask-3.0.3 fonttools-4.54.1 frozenlist-1.4.1 fsspec-2024.9.0 ftfy-6.2.3 future-1.0.0 gradio-4.43.0 gradio-client-1.3.0 grpcio-1.66.2 h11-0.14.0 httpcore-1.0.6 httpx-0.27.2 huggingface-hub-0.25.1 idna-3.10 importlib-metadata-8.5.0 importlib-resources-6.4.5 intel-openmp-2021.4.0 isodate-0.6.1 itsdangerous-2.2.0 jinja2-3.1.4 joblib-1.4.2 jsonschema-4.23.0 jsonschema-specifications-2023.12.1 kiwisolver-1.4.7 language-tags-1.2.0 libf0-1.0.2 librosa-0.9.2 llvmlite-0.40.1 local-attention-1.9.15 lxml-5.3.0 markdown-3.7 markdown-it-py-3.0.0 markupsafe-2.1.5 matplotlib-3.7.2 mdurl-0.1.2 mkl-2021.4.0 mpmath-1.3.0 multidict-6.1.0 networkx-3.2.1 noisereduce-3.0.2 numba-0.57.0 numpy-1.23.5 orjson-3.10.7 packaging-24.1 pandas-2.2.3 pedalboard-0.9.16 phonemizer-3.3.0 pillow-10.4.0 platformdirs-4.3.6 pooch-1.8.2 praat-parselmouth-0.4.4 progressbar-2.5 protobuf-5.28.2 pycparser-2.22 pydantic-2.8.2 pydantic-core-2.20.1 pydub-0.25.1 pygments-2.18.0 pylatexenc-2.10 pyparsing-3.0.9 pypresence-4.3.0 python-dateutil-2.9.0.post0 python-multipart-0.0.12 pytz-2024.2 pyworld-0.3.4 pyyaml-6.0.2 rdflib-7.0.0 referencing-0.35.1 regex-2024.9.11 requests-2.32.0 resampy-0.4.3 rfc3986-1.5.0 rich-13.9.1 rpds-py-0.20.0 ruff-0.6.8 safetensors-0.4.5 scikit-learn-1.5.2 scipy-1.11.1 segments-2.2.1 semantic-version-2.10.0 shellingham-1.5.4 six-1.16.0 sniffio-1.3.1 soundfile-0.12.1 soupsieve-2.6 starlette-0.37.2 stftpitchshift-2.0 sympy-1.13.3 tabulate-0.9.0 tbb-2021.13.1 tensorboard-2.18.0 tensorboard-data-server-0.7.2 tensorboardX-2.6.2.2 threadpoolctl-3.5.0 timm-1.0.9 tokenizers-0.19.1 tomlkit-0.12.0 torch-2.3.1 torchaudio-2.3.1 torchcrepe-0.0.23 torchfcpe-0.0.4 torchlibrosa-0.1.0 torchvision-0.18.1 tqdm-4.66.5 transformers-4.44.2 typer-0.12.5 typing-extensions-4.12.2 tzdata-2024.2 unidecode-1.3.8 uritemplate-4.1.1 urllib3-2.2.3 uvicorn-0.31.0 versatile-audio-upscaler-0.0.2 wcwidth-0.2.13 websockets-12.0 werkzeug-3.0.4 wget-3.2 yarl-1.13.1 zipp-3.20.2
[notice] A new release of pip is available: 24.0 -> 24.2
[notice] To update, run: python.exe -m pip install --upgrade pip
Looking in indexes: https://download.pytorch.org/whl/cu121
Requirement already satisfied: torch==2.3.1 in c:\applio\env\lib\site-packages (2.3.1)
Collecting torch==2.3.1
Using cached https://download.pytorch.org/whl/cu121/torch-2.3.1%2Bcu121-cp39-cp39-win_amd64.whl (2423.5 MB)
Requirement already satisfied: torchvision==0.18.1 in c:\applio\env\lib\site-packages (0.18.1)
Collecting torchvision==0.18.1
Using cached https://download.pytorch.org/whl/cu121/torchvision-0.18.1%2Bcu121-cp39-cp39-win_amd64.whl (5.7 MB)
Requirement already satisfied: torchaudio==2.3.1 in c:\applio\env\lib\site-packages (2.3.1)
Collecting torchaudio==2.3.1
Using cached https://download.pytorch.org/whl/cu121/torchaudio-2.3.1%2Bcu121-cp39-cp39-win_amd64.whl (4.1 MB)
Requirement already satisfied: filelock in c:\applio\env\lib\site-packages (from torch==2.3.1) (3.16.1)
Requirement already satisfied: typing-extensions>=4.8.0 in c:\applio\env\lib\site-packages (from torch==2.3.1) (4.12.2)
Requirement already satisfied: sympy in c:\applio\env\lib\site-packages (from torch==2.3.1) (1.13.3)
Requirement already satisfied: networkx in c:\applio\env\lib\site-packages (from torch==2.3.1) (3.2.1)
Requirement already satisfied: jinja2 in c:\applio\env\lib\site-packages (from torch==2.3.1) (3.1.4)
Requirement already satisfied: fsspec in c:\applio\env\lib\site-packages (from torch==2.3.1) (2024.9.0)
Requirement already satisfied: mkl<=2021.4.0,>=2021.1.1 in c:\applio\env\lib\site-packages (from torch==2.3.1) (2021.4.0)
Requirement already satisfied: numpy in c:\applio\env\lib\site-packages (from torchvision==0.18.1) (1.23.5)
Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in c:\applio\env\lib\site-packages (from torchvision==0.18.1) (10.4.0)
Requirement already satisfied: intel-openmp==2021.* in c:\applio\env\lib\site-packages (from mkl<=2021.4.0,>=2021.1.1->torch==2.3.1) (2021.4.0)
Requirement already satisfied: tbb==2021.* in c:\applio\env\lib\site-packages (from mkl<=2021.4.0,>=2021.1.1->torch==2.3.1) (2021.13.1)
Requirement already satisfied: MarkupSafe>=2.0 in c:\applio\env\lib\site-packages (from jinja2->torch==2.3.1) (2.1.5)
Requirement already satisfied: mpmath<1.4,>=1.1.0 in c:\applio\env\lib\site-packages (from sympy->torch==2.3.1) (1.3.0)
Installing collected packages: torch, torchvision, torchaudio
Attempting uninstall: torch
Found existing installation: torch 2.3.1
Uninstalling torch-2.3.1:
Successfully uninstalled torch-2.3.1
Attempting uninstall: torchvision
Found existing installation: torchvision 0.18.1
Uninstalling torchvision-0.18.1:
Successfully uninstalled torchvision-0.18.1
Attempting uninstall: torchaudio
Found existing installation: torchaudio 2.3.1
Uninstalling torchaudio-2.3.1:
Successfully uninstalled torchaudio-2.3.1
Successfully installed torch-2.3.1+cu121 torchaudio-2.3.1+cu121 torchvision-0.18.1+cu121
[notice] A new release of pip is available: 24.0 -> 24.2
[notice] To update, run: python.exe -m pip install --upgrade pip
Dependencies installation complete.
Applio has been installed successfully
To start Applio, please run 'run-applio.bat'.
Presione una tecla para continuar . . .
Please do
env\python -m pip freeze >list.txt
and provide that instead of the screenshot. but if you're cloning the repo, you need to be ready to fix it all by yourself.It doesn't show nothing:
it creates a file list.txt which I expected you to attach to this ticket.
Please do
env\python -m pip freeze >list.txt
and provide that instead of the screenshot. but if you're cloning the repo, you need to be ready to fix it all by yourself.It doesn't show nothing:
it creates a file list.txt which I expected you to attach to this ticket.
lol, sorry. I thought it was going to say something like file created in x location.
Here it's:
absl-py==2.1.0
aiofiles==23.2.1
aiohappyeyeballs==2.4.3
aiohttp==3.10.8
aiosignal==1.3.1
annotated-types==0.7.0
anyio==4.6.0
async-timeout==4.0.3
attrs==24.2.0
audioread==3.0.1
babel==2.16.0
beautifulsoup4==4.12.3
bibtexparser==2.0.0b7
blinker==1.8.2
certifi==2023.7.22
cffi==1.17.1
chardet==5.2.0
charset-normalizer==3.3.2
click==8.1.7
clldutils==3.22.2
colorama==0.4.6
colorlog==6.8.2
contourpy==1.3.0
csvw==3.3.1
cycler==0.12.1
Cython==3.0.11
decorator==5.1.1
dlinfo==1.2.1
edge-tts==6.1.9
einops==0.8.0
exceptiongroup==1.2.2
faiss-cpu==1.7.3
fastapi==0.112.0
ffmpeg-python==0.2.0
ffmpy==0.3.1
filelock==3.16.1
Flask==3.0.3
fonttools==4.54.1
frozenlist==1.4.1
fsspec==2024.9.0
ftfy==6.2.3
future==1.0.0
gradio==4.43.0
gradio_client==1.3.0
grpcio==1.66.2
h11==0.14.0
httpcore==1.0.6
httpx==0.27.2
huggingface-hub==0.25.1
idna==3.10
importlib_metadata==8.5.0
importlib_resources==6.4.5
intel-openmp==2021.4.0
isodate==0.6.1
itsdangerous==2.2.0
Jinja2==3.1.4
joblib==1.4.2
jsonschema==4.23.0
jsonschema-specifications==2023.12.1
kiwisolver==1.4.7
language-tags==1.2.0
libf0==1.0.2
librosa==0.9.2
llvmlite==0.40.1
local-attention==1.9.15
lxml==5.3.0
Markdown==3.7
markdown-it-py==3.0.0
MarkupSafe==2.1.5
matplotlib==3.7.2
mdurl==0.1.2
mkl==2021.4.0
mpmath==1.3.0
multidict==6.1.0
networkx==3.2.1
noisereduce==3.0.2
numba==0.57.0
numpy==1.23.5
orjson==3.10.7
packaging==24.1
pandas==2.2.3
pedalboard==0.9.16
phonemizer==3.3.0
pillow==10.4.0
platformdirs==4.3.6
pooch==1.8.2
praat-parselmouth==0.4.4
progressbar==2.5
protobuf==5.28.2
pycparser==2.22
pydantic==2.8.2
pydantic_core==2.20.1
pydub==0.25.1
Pygments==2.18.0
pylatexenc==2.10
pyparsing==3.0.9
pypresence==4.3.0
python-dateutil==2.9.0.post0
python-multipart==0.0.12
pytz==2024.2
pyworld==0.3.4
PyYAML==6.0.2
rdflib==7.0.0
referencing==0.35.1
regex==2024.9.11
requests==2.32.0
resampy==0.4.3
rfc3986==1.5.0
rich==13.9.1
rpds-py==0.20.0
ruff==0.6.8
safetensors==0.4.5
scikit-learn==1.5.2
scipy==1.11.1
segments==2.2.1
semantic-version==2.10.0
shellingham==1.5.4
six==1.16.0
sniffio==1.3.1
soundfile==0.12.1
soupsieve==2.6
starlette==0.37.2
stftpitchshift==2.0
sympy==1.13.3
tabulate==0.9.0
tbb==2021.13.1
tensorboard==2.18.0
tensorboard-data-server==0.7.2
tensorboardX==2.6.2.2
threadpoolctl==3.5.0
timm==1.0.9
tokenizers==0.19.1
tomlkit==0.12.0
torch==2.3.1+cu121
torchaudio==2.3.1+cu121
torchcrepe==0.0.23
torchfcpe==0.0.4
torchlibrosa==0.1.0
torchvision==0.18.1+cu121
tqdm==4.66.5
transformers==4.44.2
typer==0.12.5
typing_extensions==4.12.2
tzdata==2024.2
Unidecode==1.3.8
uritemplate==4.1.1
urllib3==2.2.3
uvicorn==0.31.0
versatile-audio-upscaler==0.0.2
wcwidth==0.2.13
websockets==12.0
Werkzeug==3.0.4
wget==3.2
yarl==1.13.1
zipp==3.20.2
Lol, it initiates correctly now, i just delete the folder and installed it again.
So now, when need to updates i just can do: git pull right?
I see some things changed and there are some new options.
One question, for training i need to create the dataset first?
Just to test, I've cloned the repo, ran the install, created freeze list to compare to yours - it was the same. The application runs fine, no errors.
Just to test, I've cloned the repo, ran the install, created freeze list to compare to yours - it was the same. The application runs fine, no errors.
Yeah, it's running now, dunno what happened before.
@AznamirWoW
I just upgraded my GPU, you think it's a good speed for a 4070 TI Super or o should touch something?
https://github.com/user-attachments/assets/c2e2248c-beae-4125-8367-ed674905ff8f
Thx.
4070Ti Super looks like 5x faster than my AMD 6700XT, but you need to use a bigger sample set. 7 minutes is way less than recommended. Try 30-60m with batch 4.
4070Ti Super looks like 5x faster than my AMD 6700XT, but you need to use a bigger sample set. 7 minutes is way less than recommended. Try 30-60m with batch 4.
Oh, ok, i always thought that 7 min was ok, damn...
The Overtraining feature work correctly in this version, or you recommend to not use it?
@ZeroCool22 is always better to look it manually, but yes, works fine
@blaisewf
This is something of gradio, it doesn't affect the funtionality right?
ERROR: Exception in ASGI application
Traceback (most recent call last):
File "C:\Applio\env\lib\site-packages\uvicorn\protocols\http\h11_impl.py", line 406, in run_asgi
result = await app( # type: ignore[func-returns-value]
File "C:\Applio\env\lib\site-packages\uvicorn\middleware\proxy_headers.py", line 60, in __call__
return await self.app(scope, receive, send)
File "C:\Applio\env\lib\site-packages\fastapi\applications.py", line 1054, in __call__
await super().__call__(scope, receive, send)
File "C:\Applio\env\lib\site-packages\starlette\applications.py", line 123, in __call__
await self.middleware_stack(scope, receive, send)
File "C:\Applio\env\lib\site-packages\starlette\middleware\errors.py", line 186, in __call__
raise exc
File "C:\Applio\env\lib\site-packages\starlette\middleware\errors.py", line 164, in __call__
await self.app(scope, receive, _send)
File "C:\Applio\env\lib\site-packages\gradio\route_utils.py", line 760, in __call__
await self.app(scope, receive, send)
File "C:\Applio\env\lib\site-packages\starlette\middleware\exceptions.py", line 65, in __call__
await wrap_app_handling_exceptions(self.app, conn)(scope, receive, send)
File "C:\Applio\env\lib\site-packages\starlette\_exception_handler.py", line 64, in wrapped_app
raise exc
File "C:\Applio\env\lib\site-packages\starlette\_exception_handler.py", line 53, in wrapped_app
await app(scope, receive, sender)
File "C:\Applio\env\lib\site-packages\starlette\routing.py", line 756, in __call__
await self.middleware_stack(scope, receive, send)
File "C:\Applio\env\lib\site-packages\starlette\routing.py", line 776, in app
await route.handle(scope, receive, send)
File "C:\Applio\env\lib\site-packages\starlette\routing.py", line 297, in handle
await self.app(scope, receive, send)
File "C:\Applio\env\lib\site-packages\starlette\routing.py", line 77, in app
await wrap_app_handling_exceptions(app, request)(scope, receive, send)
File "C:\Applio\env\lib\site-packages\starlette\_exception_handler.py", line 64, in wrapped_app
raise exc
File "C:\Applio\env\lib\site-packages\starlette\_exception_handler.py", line 53, in wrapped_app
await app(scope, receive, sender)
File "C:\Applio\env\lib\site-packages\starlette\routing.py", line 75, in app
await response(scope, receive, send)
File "C:\Applio\env\lib\site-packages\starlette\responses.py", line 352, in __call__
await send(
File "C:\Applio\env\lib\site-packages\starlette\_exception_handler.py", line 50, in sender
await send(message)
File "C:\Applio\env\lib\site-packages\starlette\_exception_handler.py", line 50, in sender
await send(message)
File "C:\Applio\env\lib\site-packages\starlette\middleware\errors.py", line 161, in _send
await send(message)
File "C:\Applio\env\lib\site-packages\uvicorn\protocols\http\h11_impl.py", line 510, in send
output = self.conn.send(event=h11.EndOfMessage())
File "C:\Applio\env\lib\site-packages\h11\_connection.py", line 512, in send
data_list = self.send_with_data_passthrough(event)
File "C:\Applio\env\lib\site-packages\h11\_connection.py", line 545, in send_with_data_passthrough
writer(event, data_list.append)
File "C:\Applio\env\lib\site-packages\h11\_writers.py", line 67, in __call__
self.send_eom(event.headers, write)
File "C:\Applio\env\lib\site-packages\h11\_writers.py", line 96, in send_eom
raise LocalProtocolError("Too little data for declared Content-Length")
h11._util.LocalProtocolError: Too little data for declared Content-Length
Converting audio 'assets\audios\2024-10-02_01-55-24.wav'...
Loading audio_upscaler: basic
Loading model on cuda:0
59% [........................................ ] 3698286592 / 6178189563
It takes a little more time now for the CONVERTION, i don't remember in the previous versions this load model and the 3 DDIM SAMPLER process...
But the quality seems to better now.
100% [....................................................................] 6178189563 / 6178189563Downloaded checkpoint to pytorch_model.bin
DiffusionWrapper has 258.20 M params.
Setting seed to: 1265614420
Segment 0 created!
Segment 1 created!
Segment 2 created!
Total segments created: 3
Split all chunks for assets\audios\2024-10-02_01-55-24_mono.wav successfully!
Running DDIM Sampling with 50 timesteps
DDIM Sampler: 100%|████████████████████████████████████████████████████████████████████| 50/50 [00:08<00:00, 6.03it/s]
Running DDIM Sampling with 50 timesteps
DDIM Sampler: 100%|████████████████████████████████████████████████████████████████████| 50/50 [00:05<00:00, 9.88it/s]
Running DDIM Sampling with 50 timesteps
DDIM Sampler: 100%|████████████████████████████████████████████████████████████████████| 50/50 [00:07<00:00, 6.53it/s]
Finished processing segmented audio, now merging audio...
Processing file: assets\audios\2024-10-02_01-55-24_mono_timestamps.txt
Processed chunk: assets\audios\2024-10-02_01-55-24_mono\chunk0.wav
Processed chunk: assets\audios\2024-10-02_01-55-24_mono\chunk1.wav
Processed chunk: assets\audios\2024-10-02_01-55-24_mono\chunk2.wav
Conversion completed at 'assets\audios\2024-10-02_01-55-24_output.wav' in 141.93 seconds.
ignore it, probably was when you’ve uploaded the audio
ignore it, probably was when you’ve uploaded the audio
Exactly.
@blaisewf
Lol, something is bugged here, couldn't be so fast...
https://github.com/user-attachments/assets/15a85819-3ddc-41f5-add3-f30f90bf5660
Or it's because this option is checked?
it is because you're not really training on any data
@AznamirWoW
OK, i'm lost here, i think i'm doing everything correctly, but still do that instantly speed:
Can you check please?:
if you have a folder with files, you dont need to make a data set. Use the folder. Make sure files are in supported format. Make sure preprocess data set returns output in the console about the length of processed audio. Make sure extract features both steps return something.
if you have a folder with files, you dont need to make a data set. Use the folder. Make sure files are in supported format. Make sure preprocess data set returns output in the console about the length of processed audio. Make sure extract features both steps return something.
In the video i don't have any previous data set, just the .WAV for train, i did all from zero and still get that glitch of the speed.
You have files in a folder you're pasting into Applio. That's it. Do not click 'Dataset creation' checkbox.
Ok, i didn't touch the Dataset Button this time and look what happen:
https://github.com/user-attachments/assets/86d7fc27-6085-4dc5-8742-6f70e494a930
Ok, i didn't touch the Dataset Button this time and look what happen: 2024-10-02.12-26-38.mp4
why are you skipping Preprocess Dataset button?
Ok, i didn't touch the Dataset Button this time and look what happen: 2024-10-02.12-26-38.mp4
why are you skipping Preprocess Dataset button?
Sorry man, I thought the Check Dataset Creation was related to button Dataset Processor.
Now it's training at normal speed.
Last question:
These DDIM Sampling wasn't present in previous versions, right? It makes a little more slow the convention process...
Split all chunks for assets\audios\2024-10-02_01-55-24_mono.wav successfully!
Running DDIM Sampling with 50 timesteps
DDIM Sampler: 100%|████████████████████████████████████████████████████████████████████| 50/50 [00:08<00:00, 6.03it/s]
Running DDIM Sampling with 50 timesteps
DDIM Sampler: 100%|████████████████████████████████████████████████████████████████████| 50/50 [00:05<00:00, 9.88it/s]
Running DDIM Sampling with 50 timesteps
DDIM Sampler: 100%|████████████████████████████████████████████████████████████████████| 50/50 [00:07<00:00, 6.53it/s]
Finished processing segmented audio, now merging audio...
These DDIM Sampling wasn't present in previous versions, right? It makes a little more slow the convention process...
Do not use upscale audio, problem solved?
Project Version
3.2.6
Platform and OS Version
Windows 10 64 bits.
Affected Devices
PC Desktop
Existing Issues
No response
What happened?
Steps to reproduce
...
Expected behavior
Launch with run-applio.bat
Attachments
No response
Screenshots or Videos
No response
Additional Information
I cloned the repo with git clone (because i want to keep it updated with git pull) and then run the run-install.bat, all installation run good without errors but when i launch it i get the error mentioned.