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MAINTAINERS:
Matthew Croughan <matthew.croughan@nix.how>
Max Headroom <max@privatevoid.net>

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GNU AFFERO GENERAL PUBLIC LICENSE
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<p align="center">
<br/>
<a href="nixified.ai">
<img src="https://github.com/nixified-ai/flake/blob/images/nixified.ai-text.png" width=60% height=60% title="nixified.ai"/>
</a>
</p>
asdasd
---
#### Discussion
Anyone interested in discussing nixified.ai in realtime can join our matrix channel
- In a Matrix client you can type `/join #nixified.ai:matrix.org`
- Via the web you can join via https://matrix.to/#/#nixified.ai:matrix.org
#### The Goal
The goal of nixified.ai is to simplify and make available a large repository of
AI executable code that would otherwise be impractical to run yourself, due to
package management and complexity issues.
The outputs run primarily on Linux, but can also run on Windows via [NixOS-WSL](https://github.com/nix-community/NixOS-WSL). It is able to utilize the GPU of the Windows host automatically, as our wrapper script sets `LD_LIBRARY_PATH` to make use of the host drivers.
The main outputs of the `flake.nix` at the moment are as follows:
#### [InvokeAI](https://github.com/invoke-ai/InvokeAI) ( A Stable Diffusion WebUI )
- `nix run .#invokeai-amd`
- `nix run .#invokeai-nvidia`
![invokeai](https://raw.githubusercontent.com/nixified-ai/flake/images/invokeai.webp)
#### [textgen](https://github.com/oobabooga/text-generation-webui) ( Also called text-generation-webui: A WebUI for LLMs and LoRA training )
- `nix run .#textgen-amd`
- `nix run .#textgen-nvidia`
![textgen](https://raw.githubusercontent.com/nixified-ai/flake/images/textgen.webp)
## Install NixOS-WSL in Windows
If you're interested in running nixified.ai in the Windows Subsystem for Linux, you'll need to enable the WSL and then install NixOS-WSL via it. We provide a script that will do everything for you.
1. Execute the following in Powershell
`Set-ExecutionPolicy Bypass -Scope Process -Force; [System.Net.ServicePointManager]::SecurityProtocol = [System.Net.ServicePointManager]::SecurityProtocol -bor 3072; iex ((New-Object System.Net.WebClient).DownloadString('https://raw.githubusercontent.com/nixified-ai/flake/master/install.ps1'))`
The WSL must be installed via the Windows Store. The script will make an attempt to enable it automatically, but this only works on a fresh system, not one that has been modified manually.
See the following documentation from Microsoft for the details on how to enable and use the WSL manually
- https://learn.microsoft.com/en-us/windows/wsl/install

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{
"nodes": {
"a1111-src": {
"flake": false,
"locked": {
"lastModified": 1699030214,
"narHash": "sha256-UQ2cJ92JdSHOe0g5IkaCXPO0MYyWpLAcp6f8p+T6bxs=",
"owner": "automatic1111",
"repo": "stable-diffusion-webui",
"rev": "4afaaf8a020c1df457bcf7250cb1c7f609699fa7",
"type": "github"
},
"original": {
"owner": "automatic1111",
"repo": "stable-diffusion-webui",
"type": "github"
}
},
"bark-gui-src": {
"flake": false,
"locked": {
"lastModified": 1690135468,
"narHash": "sha256-J/Mhv2lQ/IFKJ/MGm5p9HOoSJQ+fXXlUwLy5YRYi9tY=",
"owner": "C0untFloyd",
"repo": "bark-gui",
"rev": "7c85e68d230d282cf0a9ba4ac7f0ef611329f60d",
"type": "github"
},
"original": {
"owner": "C0untFloyd",
"repo": "bark-gui",
"type": "github"
}
},
"comfyui-src": {
"flake": false,
"locked": {
"lastModified": 1702736172,
"narHash": "sha256-BYZHfnhdubasOAhUyq/iW4HvYKPiqBwiXY3ozZXU1Oc=",
"owner": "comfyanonymous",
"repo": "ComfyUI",
"rev": "6453dc1ca2d98d89af7cf312bb48d1e3fd2ca27f",
"type": "github"
},
"original": {
"owner": "comfyanonymous",
"repo": "ComfyUI",
"type": "github"
}
},
"flake-parts": {
"inputs": {
"nixpkgs-lib": [
"nixpkgs"
]
},
"locked": {
"lastModified": 1685662779,
"narHash": "sha256-cKDDciXGpMEjP1n6HlzKinN0H+oLmNpgeCTzYnsA2po=",
"owner": "hercules-ci",
"repo": "flake-parts",
"rev": "71fb97f0d875fd4de4994dfb849f2c75e17eb6c3",
"type": "github"
},
"original": {
"owner": "hercules-ci",
"repo": "flake-parts",
"type": "github"
}
},
"flake-parts_2": {
"inputs": {
"nixpkgs-lib": "nixpkgs-lib"
},
"locked": {
"lastModified": 1685662779,
"narHash": "sha256-cKDDciXGpMEjP1n6HlzKinN0H+oLmNpgeCTzYnsA2po=",
"owner": "hercules-ci",
"repo": "flake-parts",
"rev": "71fb97f0d875fd4de4994dfb849f2c75e17eb6c3",
"type": "github"
},
"original": {
"id": "flake-parts",
"type": "indirect"
}
},
"flake-parts_3": {
"inputs": {
"nixpkgs-lib": [
"hercules-ci-effects",
"hercules-ci-agent",
"nixpkgs"
]
},
"locked": {
"lastModified": 1685662779,
"narHash": "sha256-cKDDciXGpMEjP1n6HlzKinN0H+oLmNpgeCTzYnsA2po=",
"owner": "hercules-ci",
"repo": "flake-parts",
"rev": "71fb97f0d875fd4de4994dfb849f2c75e17eb6c3",
"type": "github"
},
"original": {
"owner": "hercules-ci",
"repo": "flake-parts",
"type": "github"
}
},
"haskell-flake": {
"locked": {
"lastModified": 1684780604,
"narHash": "sha256-2uMZsewmRn7rRtAnnQNw1lj0uZBMh4m6Cs/7dV5YF08=",
"owner": "srid",
"repo": "haskell-flake",
"rev": "74210fa80a49f1b6f67223debdbf1494596ff9f2",
"type": "github"
},
"original": {
"owner": "srid",
"ref": "0.3.0",
"repo": "haskell-flake",
"type": "github"
}
},
"hercules-ci-agent": {
"inputs": {
"flake-parts": "flake-parts_3",
"haskell-flake": "haskell-flake",
"nixpkgs": "nixpkgs"
},
"locked": {
"lastModified": 1686721748,
"narHash": "sha256-ilD6ANYID+b0/+GTFbuZXfmu92bqVqY5ITKXSxqIp5A=",
"owner": "hercules-ci",
"repo": "hercules-ci-agent",
"rev": "7192b83935ab292a8e894db590dfd44f976e183b",
"type": "github"
},
"original": {
"id": "hercules-ci-agent",
"type": "indirect"
}
},
"hercules-ci-effects": {
"inputs": {
"flake-parts": "flake-parts_2",
"hercules-ci-agent": "hercules-ci-agent",
"nixpkgs": [
"nixpkgs"
]
},
"locked": {
"lastModified": 1686830987,
"narHash": "sha256-1XLTM0lFr3NV+0rd55SQW/8oQ3ACnqlYcda3FelIwHU=",
"owner": "hercules-ci",
"repo": "hercules-ci-effects",
"rev": "04e4ab63b9eed2452edee1bb698827e1cb8265c6",
"type": "github"
},
"original": {
"owner": "hercules-ci",
"repo": "hercules-ci-effects",
"type": "github"
}
},
"invokeai-src": {
"flake": false,
"locked": {
"lastModified": 1706151910,
"narHash": "sha256-tUm9Oq9+BQJXOT9nKauXJ4N5EMIPQg8d0NS2ebrs4AE=",
"owner": "invoke-ai",
"repo": "InvokeAI",
"rev": "57dafd294d8dfbeb6d07f031e22fc5e164803eef",
"type": "github"
},
"original": {
"owner": "invoke-ai",
"ref": "v3.6.2",
"repo": "InvokeAI",
"type": "github"
}
},
"kohya_ss-src": {
"flake": false,
"locked": {
"lastModified": 1699706768,
"narHash": "sha256-/9YWOUbqErxrG5igF7CgUTGzxjSkOPhMA79wekGPfaQ=",
"owner": "bmaltais",
"repo": "kohya_ss",
"rev": "9eb5da23002c6e00f084a19d62da6fc82074c773",
"type": "github"
},
"original": {
"owner": "bmaltais",
"repo": "kohya_ss",
"type": "github"
}
},
"nixpkgs": {
"locked": {
"lastModified": 1686501370,
"narHash": "sha256-G0WuM9fqTPRc2URKP9Lgi5nhZMqsfHGrdEbrLvAPJcg=",
"owner": "NixOS",
"repo": "nixpkgs",
"rev": "75a5ebf473cd60148ba9aec0d219f72e5cf52519",
"type": "github"
},
"original": {
"owner": "NixOS",
"ref": "nixos-unstable",
"repo": "nixpkgs",
"type": "github"
}
},
"nixpkgs-lib": {
"locked": {
"dir": "lib",
"lastModified": 1685564631,
"narHash": "sha256-8ywr3AkblY4++3lIVxmrWZFzac7+f32ZEhH/A8pNscI=",
"owner": "NixOS",
"repo": "nixpkgs",
"rev": "4f53efe34b3a8877ac923b9350c874e3dcd5dc0a",
"type": "github"
},
"original": {
"dir": "lib",
"owner": "NixOS",
"ref": "nixos-unstable",
"repo": "nixpkgs",
"type": "github"
}
},
"nixpkgs-stable": {
"locked": {
"lastModified": 1708702655,
"narHash": "sha256-qxT5jSLhelfLhQ07+AUxSTm1VnVH+hQxDkQSZ/m/Smo=",
"owner": "NixOS",
"repo": "nixpkgs",
"rev": "c5101e457206dd437330d283d6626944e28794b3",
"type": "github"
},
"original": {
"owner": "NixOS",
"ref": "nixos-23.11",
"repo": "nixpkgs",
"type": "github"
}
},
"nixpkgs_2": {
"locked": {
"lastModified": 1697059129,
"narHash": "sha256-9NJcFF9CEYPvHJ5ckE8kvINvI84SZZ87PvqMbH6pro0=",
"owner": "NixOS",
"repo": "nixpkgs",
"rev": "5e4c2ada4fcd54b99d56d7bd62f384511a7e2593",
"type": "github"
},
"original": {
"owner": "NixOS",
"ref": "nixos-unstable",
"repo": "nixpkgs",
"type": "github"
}
},
"root": {
"inputs": {
"a1111-src": "a1111-src",
"bark-gui-src": "bark-gui-src",
"comfyui-src": "comfyui-src",
"flake-parts": "flake-parts",
"hercules-ci-effects": "hercules-ci-effects",
"invokeai-src": "invokeai-src",
"kohya_ss-src": "kohya_ss-src",
"nixpkgs": "nixpkgs_2",
"nixpkgs-stable": "nixpkgs-stable",
"sd-src": "sd-src",
"sgm-src": "sgm-src",
"textgen-src": "textgen-src"
}
},
"sd-src": {
"flake": false,
"locked": {
"lastModified": 1679711060,
"narHash": "sha256-yEtrz/JTq53JDI4NZI26KsD8LAgiViwiNaB2i1CBs/I=",
"owner": "Stability-AI",
"repo": "stablediffusion",
"rev": "cf1d67a6fd5ea1aa600c4df58e5b47da45f6bdbf",
"type": "github"
},
"original": {
"owner": "Stability-AI",
"repo": "stablediffusion",
"type": "github"
}
},
"sgm-src": {
"flake": false,
"locked": {
"lastModified": 1692287310,
"narHash": "sha256-Gvpjfv5hFEeQl67OeTXVhiB4zvgV5UZ5B/ar4rBW0d0=",
"owner": "Stability-AI",
"repo": "generative-models",
"rev": "477d8b9a7730d9b2e92b326a770c0420d00308c9",
"type": "github"
},
"original": {
"owner": "Stability-AI",
"repo": "generative-models",
"type": "github"
}
},
"textgen-src": {
"flake": false,
"locked": {
"lastModified": 1696789008,
"narHash": "sha256-+V8XOVnEyImj+a8uCkZXEHXW8bTIBRlnfMcQfcZNgqg=",
"owner": "oobabooga",
"repo": "text-generation-webui",
"rev": "2e471071af48e19867cfa522d2def44c24785c50",
"type": "github"
},
"original": {
"owner": "oobabooga",
"ref": "v1.7",
"repo": "text-generation-webui",
"type": "github"
}
}
},
"root": "root",
"version": 7
}

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{
nixConfig = {
extra-substituters = ["https://ai.cachix.org"];
extra-trusted-public-keys = ["ai.cachix.org-1:N9dzRK+alWwoKXQlnn0H6aUx0lU/mspIoz8hMvGvbbc="];
};
description = "A Nix Flake that makes AI reproducible and easy to run";
inputs = {
comfyui-src = {
url = "github:comfyanonymous/ComfyUI";
flake = false;
};
nixpkgs-stable = {
url = "github:NixOS/nixpkgs/nixos-23.11";
};
bark-gui-src = {
url = "github:C0untFloyd/bark-gui";
flake = false;
};
kohya_ss-src = {
url = "github:bmaltais/kohya_ss";
flake = false;
};
sgm-src = {
url = "github:Stability-AI/generative-models";
flake = false;
};
nixpkgs = {
url = "github:NixOS/nixpkgs/nixos-unstable";
};
a1111-src = {
url = "github:automatic1111/stable-diffusion-webui";
flake = false;
};
sd-src = {
url = "github:Stability-AI/stablediffusion";
flake = false;
};
invokeai-src = {
url = "github:invoke-ai/InvokeAI/v3.6.2";
flake = false;
};
textgen-src = {
url = "github:oobabooga/text-generation-webui/v1.7";
flake = false;
};
flake-parts = {
url = "github:hercules-ci/flake-parts";
inputs.nixpkgs-lib.follows = "nixpkgs";
};
hercules-ci-effects = {
url = "github:hercules-ci/hercules-ci-effects";
inputs.nixpkgs.follows = "nixpkgs";
};
};
outputs = {
flake-parts,
invokeai-src,
hercules-ci-effects,
...
} @ inputs:
flake-parts.lib.mkFlake {inherit inputs;} {
perSystem = {system, ...}: {
# _module.args.pkgs = import inputs.nixpkgs { config.allowUnfree = true; inherit system; config.cudaSupport = true; };
_module.args.pkgs = import inputs.nixpkgs {
inherit system;
config = {
allowUnfree = true;
cudaSupport = true;
};
};
legacyPackages = {
koboldai = builtins.throw ''
koboldai has been dropped from nixified.ai due to lack of upstream development,
try textgen instead which is better maintained. If you would like to use the last
available version of koboldai with nixified.ai, then run:
nix run github:nixified.ai/flake/0c58f8cba3fb42c54f2a7bf9bd45ee4cbc9f2477#koboldai
'';
};
};
systems = [
"x86_64-linux"
];
debug = true;
imports = [
hercules-ci-effects.flakeModule
# ./modules/nixpkgs-config
./overlays
./projects/comfyui
./projects/automatic1111
./projects/invokeai
./projects/textgen
./projects/kohya_ss
./projects/bark-gui
./website
];
};
}

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if (Get-AppxPackage -Name MicrosoftCorporationII.WindowsSubsystemForLinux) {
Write-Host "---"
Write-Host "Installing NixOS-WSL"
Write-Host "---"
Invoke-WebRequest -Uri "https://github.com/nix-community/NixOS-WSL/releases/download/22.05-5c211b47/nixos-wsl-x86_64-linux.tar.gz" -OutFile "nixos-wsl-installer.tar.gz"
wsl.exe --import NixOS-nixified-ai $HOME\.NixOS-nixified-ai nixos-wsl-installer.tar.gz --version 2
rm nixos-wsl-installer.tar.gz
sleep 5
}
if (!(Get-AppxPackage -Name MicrosoftCorporationII.WindowsSubsystemForLinux)) {
try {
Write-Warning "---"
Write-Warning "Windows tells us that WSL is not enabled, trying wsl.exe --install --no-distribution"
Write-Warning "This will work on a fresh Windows machine, otherwise it's up to you to install the WSL"
Write-Warning "---"
wsl.exe --install --no-distribution | Out-Null
if(!$?) {
$error=1
}
else {
Write-Warning "Successfully installed the WSL, you now need to reboot and run this script again!"
sleep 5
exit
};
}
catch {
Write-Warning 'Unable to install the WSL (Microsoft-Windows-Subsystem-Linux) feature via wsl.exe --install --no-distribution'
Write-Warning 'Try to install WSL manually, such as via the Windows Store, or by following'
Write-Warning 'https://learn.microsoft.com/en-us/windows/wsl/install'
sleep 5
exit
}
}

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@ -0,0 +1,14 @@
{
"internal": [
[
"<|BEGIN-VISIBLE-CHAT|>",
"How can I help you today?"
]
],
"visible": [
[
"",
"How can I help you today?"
]
]
}

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@ -0,0 +1,27 @@
{ inputs, lib, ... }:
{
perSystem = { system, ... }: {
_module.args.pkgs = import inputs.nixpkgs {
inherit system;
config = {
allowUnfreePredicate = pkg: builtins.elem (lib.getName pkg) [
# for Triton
"cuda_cudart"
"cuda_nvcc"
"cuda_nvtx"
# for CUDA Torch
"cuda_cccl"
"cuda_cupti"
"cuda_nvprof"
"cudatoolkit"
"cudatoolkit-11-cudnn"
"libcublas"
"libcusolver"
"libcusparse"
];
};
};
};
}

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overlays/default.nix Normal file
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{ lib, ... }:
let
l = lib.extend (import ./lib.nix);
overlaySets = {
python = import ./python l;
};
prefixAttrs = prefix: lib.mapAttrs' (name: value: lib.nameValuePair "${prefix}-${name}" value);
in
{
flake = {
lib = {
inherit (l) overlays;
};
overlays = lib.pipe overlaySets [
(lib.mapAttrs prefixAttrs)
(lib.attrValues)
(lib.foldl' (a: b: a // b) {})
];
};
}

39
overlays/lib.nix Normal file
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lib: _: {
overlays = {
runOverlay = do: final: prev: do {
inherit final prev;
util = {
callPackageOrTuple = input:
if lib.isList input then
assert lib.length input == 2; let
pkg = lib.head input;
args = lib.last input;
in final.callPackage pkg args
else
final.callPackage input { };
};
};
callManyPackages = packages: lib.overlays.runOverlay ({ util, ... }:
let
packages' = lib.listToAttrs (map (x: lib.nameValuePair (baseNameOf x) x) packages);
in
lib.mapAttrs (lib.const util.callPackageOrTuple) packages'
);
applyOverlays = packageSet: overlays: let
combinedOverlay = lib.composeManyExtensions overlays;
in
# regular extensible package set
if packageSet ? extend then
packageSet.extend combinedOverlay
# makeScope-style package set, this case needs to be handled before makeScopeWithSplicing
else if packageSet ? overrideScope' then
packageSet.overrideScope' combinedOverlay
# makeScopeWithSplicing-style package set
else if packageSet ? overrideScope then
packageSet.overrideScope combinedOverlay
else
throw "don't know how to extend the given package set";
};
}

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@ -0,0 +1,80 @@
lib: {
fixPackages = final: prev:
let
relaxProtobuf = pkg: pkg.overrideAttrs (old: {
nativeBuildInputs = old.nativeBuildInputs ++ [ final.pythonRelaxDepsHook ];
pythonRelaxDeps = [ "protobuf" ];
});
in
{
invisible-watermark = prev.invisible-watermark.overridePythonAttrs {
pythonImportsCheck = [ ];
};
torchsde = prev.torchsde.overridePythonAttrs {
doCheck = false;
pythonImportsCheck = [ ];
};
pytorch-lightning = relaxProtobuf prev.pytorch-lightning;
wandb = relaxProtobuf (prev.wandb.overridePythonAttrs {
doCheck = false;
});
anyio = prev.anyio.overridePythonAttrs { doCheck = false; dontUsePytestCheck = true; };
mocket = prev.mocket.overridePythonAttrs { doCheck = false; dontUsePytestCheck = true; };
markdown-it-py = prev.markdown-it-py.overrideAttrs (old: {
nativeBuildInputs = old.nativeBuildInputs ++ [ final.pythonRelaxDepsHook ];
pythonRelaxDeps = [ "linkify-it-py" ];
passthru = old.passthru // {
optional-dependencies = with final; {
linkify = [ linkify-it-py ];
plugins = [ mdit-py-plugins ];
};
};
});
filterpy = prev.filterpy.overrideAttrs (old: {
doInstallCheck = false;
});
shap = prev.shap.overrideAttrs (old: {
doInstallCheck = false;
propagatedBuildInputs = old.propagatedBuildInputs ++ [ final.packaging ];
pythonImportsCheck = [ "shap" ];
meta = old.meta // {
broken = false;
};
});
streamlit =
let
streamlit = final.callPackage (final.pkgs.path + "/pkgs/applications/science/machine-learning/streamlit") {
protobuf3 = final.protobuf;
};
in
final.toPythonModule (relaxProtobuf streamlit);
opencv-python-headless = final.opencv-python;
opencv-python = final.opencv4;
};
torchRocm = final: prev: {
torch = prev.torch.override {
magma = prev.pkgs.magma-hip;
cudaSupport = false;
rocmSupport = true;
};
torchvision = prev.torchvision.overridePythonAttrs (old: {
patches = (old.patches or [ ]) ++ [ ./torchvision/fix-rocm-build.patch ];
});
};
torchCuda = final: prev: {
torch = prev.torch.override {
magma = prev.pkgs.magma-cuda-static;
cudaSupport = true;
rocmSupport = false;
};
};
bitsAndBytesOldGpu = final: prev: {
bitsandbytes = prev.bitsandbytes.overridePythonAttrs (old: {
preBuild = old.preBuild + " cuda${final.torch.cudaPackages.cudaMajorVersion}x_nomatmul";
});
};
}

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@ -0,0 +1,30 @@
From 20d90dfc2be8fedce229f47982db656862c9dc32 Mon Sep 17 00:00:00 2001
From: Paul Mulders <justinkb@gmail.com>
Date: Thu, 11 May 2023 00:43:51 +0200
Subject: [PATCH] setup.py: fix ROCm build (#7573)
---
setup.py | 8 +++++++-
1 file changed, 7 insertions(+), 1 deletion(-)
diff --git a/setup.py b/setup.py
index c523ba073c5..732b5c0e1b7 100644
--- a/setup.py
+++ b/setup.py
@@ -328,9 +328,15 @@ def get_extensions():
image_src = (
glob.glob(os.path.join(image_path, "*.cpp"))
+ glob.glob(os.path.join(image_path, "cpu", "*.cpp"))
- + glob.glob(os.path.join(image_path, "cuda", "*.cpp"))
)
+ if is_rocm_pytorch:
+ image_src += glob.glob(os.path.join(image_path, "hip", "*.cpp"))
+ # we need to exclude this in favor of the hipified source
+ image_src.remove(os.path.join(image_path, "image.cpp"))
+ else:
+ image_src += glob.glob(os.path.join(image_path, "cuda", "*.cpp"))
+
if use_png or use_jpeg:
ext_modules.append(
extension(

10
packages/LICENSE Normal file
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@ -0,0 +1,10 @@
MIT License
Copyright (c) 2023 Matthew Croughan and the nixified.ai contributors
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

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# WARNING: This file was automatically generated. You should avoid editing it.
# If you run pynixify again, the file will be either overwritten or
# deleted, and you will lose the changes you made to it.
{ buildPythonPackage, fetchPypi, lib, numpy, packaging, psutil, pyyaml, torch, huggingface-hub }:
buildPythonPackage rec {
pname = "accelerate";
version = "0.23.0";
src = fetchPypi {
inherit pname version;
sha256 = "sha256-ITnSGfqaN3c8QnnJr+vp9oHy8p6FopsL6NdiV72OSr4=";
};
propagatedBuildInputs = [ numpy packaging psutil pyyaml torch huggingface-hub ];
# TODO FIXME
doCheck = false;
meta = with lib; {
description = "Accelerate";
homepage = "https://github.com/huggingface/accelerate";
};
}

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# WARNING: This file was automatically generated. You should avoid editing it.
# If you run pynixify again, the file will be either overwritten or
# deleted, and you will lose the changes you made to it.
{ buildPythonPackage, fetchPypi, lib, numpy, opencv-python-headless, pyyaml
, qudida, scikit-image, scipy }:
buildPythonPackage rec {
pname = "albumentations";
version = "1.3.0";
src = fetchPypi {
inherit pname version;
sha256 = "1vbvyd0np69wz9q1nk3kf13y00cqq650wmd5y8a372f869lg66my";
};
propagatedBuildInputs =
[ numpy scipy scikit-image pyyaml qudida opencv-python-headless ];
# TODO FIXME
doCheck = false;
meta = with lib; {
description =
"Fast image augmentation library and easy to use wrapper around other libraries";
homepage = "https://github.com/albumentations-team/albumentations";
};
}

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{ lib
, buildPythonPackage
, fetchPypi
, pythonOlder
, requests
, monotonic
, backoff
, python-dateutil
}:
buildPythonPackage rec {
pname = "analytics-python";
version = "1.4.0";
disabled = pythonOlder "3.6";
src = fetchPypi {
inherit pname version;
sha256 = "plFBq25H2zlvW8Vwix25P/mpmILYH+gIIor9Xrtt/l8=";
};
postPatch = ''
substituteInPlace setup.py \
--replace '"backoff==1.10.0"' '"backoff>=1.10.0,<3"'
'';
propagatedBuildInputs = [
monotonic
requests
backoff
python-dateutil
];
# Almost all tests run against a hosted API, and the few that are mocked are hard to cherry-pick
doCheck = false;
pythonImportsCheck = [
"analytics"
"analytics.client"
"analytics.consumer"
"analytics.request"
"analytics.utils"
"analytics.version"
];
meta = with lib; {
homepage = "https://segment.com/libraries/python";
description = "Hassle-free way to integrate analytics into any python application";
license = licenses.mit;
maintainers = with maintainers; [ pbsds ];
};
}

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{ lib, python3Packages }:
python3Packages.buildPythonPackage rec {
pname = "apispec-webframeworks";
version = "0.5.2";
disabled = python3Packages.pythonOlder "3.6";
src = python3Packages.fetchPypi {
inherit pname version;
hash = "sha256-DbNbJnkUs/jFYqygJhlX28tBdvJV6swiUgJ3AQgY3PM=";
};
propagatedBuildInputs = with python3Packages; [
apispec
packaging
pyyaml
];
nativeCheckInputs = with python3Packages; [
pytestCheckHook
mock
flask
tornado
bottle
];
doCheck = false;
pythonImportsCheck = [ "apispec_webframeworks" ];
meta = with lib; {
description = "apispec plugin for integrating with various web frameworks";
homepage = "https://github.com/marshmallow-code/apispec-webframeworks";
license = licenses.mit;
maintainers = [ maintainers.sikmir ];
};
}

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{ lib
, buildPythonPackage
, fetchPypi
, setuptools
, packaging
, torch
, einops
, beartype
, torchaudio
, fairseq
, transformers
, vector-quantize-pytorch
, local-attention
, encodec
, lion-pytorch
, ema-pytorch
, accelerate
}:
buildPythonPackage rec {
pname = "audiolm-pytorch";
version = "1.7.6";
format = "pyproject";
src = fetchPypi {
inherit pname version;
hash = "sha256-Roo17hhrlNqnAt43kKQRnkHn6fvtW+vEVxLVHK0k884=";
};
buildInputs = [
setuptools
];
propagatedBuildInputs = [
packaging
torch
einops
beartype
torchaudio
fairseq
transformers
vector-quantize-pytorch
local-attention
encodec
lion-pytorch
ema-pytorch
accelerate
];
pythonImportsCheck = [ "audiolm_pytorch" ];
meta = with lib; {
license = licenses.mit;
maintainers = with maintainers; [ ];
};
}

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{ lib
, buildPythonPackage
, fetchFromGitHub
, safetensors
, accelerate
, rouge
, peft
, transformers
, datasets
, torch
, cudaPackages
, rocmPackages
, symlinkJoin
, which
, ninja
, pybind11
, gcc11Stdenv
}:
let
cuda-native-redist = symlinkJoin {
name = "cuda-redist";
paths = with cudaPackages; [
cuda_cudart # cuda_runtime.h
cuda_nvcc
];
};
in
buildPythonPackage rec {
pname = "autogptq";
version = "0.4.2";
format = "setuptools";
BUILD_CUDA_EXT = "1";
CUDA_HOME = cuda-native-redist;
CUDA_VERSION = cudaPackages.cudaVersion;
buildInputs = [
pybind11
cudaPackages.cudatoolkit
];
preBuild = ''
export PATH=${gcc11Stdenv.cc}/bin:$PATH
'';
nativeBuildInputs = [
which
ninja
rocmPackages.clr
];
src = fetchFromGitHub {
owner = "PanQiWei";
repo = "AutoGPTQ";
rev = "51c043c6bef1380e121474ad73ea2a22f2fb5737";
hash = "sha256-O/ox/VSMgvqK9SWwlaz8o12fLkz9591p8CVC3e8POQI=";
};
pythonImportsCheck = [ "auto_gptq" ];
propagatedBuildInputs = [
safetensors
accelerate
rouge
peft
transformers
datasets
torch
];
meta = with lib; {
description = "An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm";
homepage = "https://github.com/PanQiWei/AutoGPTQ";
license = licenses.mit;
maintainers = with maintainers; [ ];
};
}

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{ lib
, buildPythonPackage
, fetchFromGitHub
, writeShellScript
, setuptools
# dependencies
, fairseq
, audiolm-pytorch
, gradio
, funcy
, linkify-it-py
, mutagen
, pytorch-seed
, pyyaml
, sentencepiece
, transformers
, ffmpeg-full
}:
buildPythonPackage rec {
pname = "bark-gui";
format = "pyproject";
version = "0.7.1";
src = fetchFromGitHub {
owner = "C0untFloyd";
repo = "${pname}";
rev = "v07.1";
sha256 = "sha256-3UvX8c8SSzfeTleGU2FoAhmSj+EG0RPMtqozaopt9Fk=";
};
propagatedBuildInputs = [
fairseq
audiolm-pytorch
gradio
funcy
linkify-it-py
mutagen
pytorch-seed
pyyaml
sentencepiece
transformers
];
buildInputs = [
setuptools
ffmpeg-full
];
dontWrapPythonPrograms = true;
postFixup =
let
setupScript = writeShellScript "bark-gui" ''
if [[ ! -d $HOME/.bark-gui ]]; then
mkdir -p $HOME
cp -r ${src} $HOME/.bark-gui
chmod 0755 $HOME/.bark-gui
chmod 0644 $HOME/.bark-gui/config.yaml
mkdir -p $HOME/.bark-gui/training/data/output
mkdir -p $HOME/.bark-gui/training/inputtext
chmod 755 $HOME/.bark-gui/training/data/output $HOME/.bark-gui/training/inputtext $HOME/.bark-gui/bark/assets/prompts/custom/
fi
pushd "$PWD"
cd $HOME/.bark-gui/
MYOLDPATH="$PATH"
export PATH="$PATH:${ffmpeg-full.bin}/bin/"
python webui.py "$@"
export PATH="$MYOLDPATH"
popd
'';
in
''
mkdir -p $out/bin
ln -s ${setupScript} $out/bin/bark-gui
'';
meta = with lib; {
maintainers = [ ];
platforms = platforms.all;
};
}

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# WARNING: This file was automatically generated. You should avoid editing it.
# If you run pynixify again, the file will be either overwritten or
# deleted, and you will lose the changes you made to it.
{ addict, buildPythonPackage, cython, fetchPypi, future, lib, lmdb, numpy
, opencv-python, pillow, pyyaml, requests, scikit-image, scipy, torch
, torchvision, tqdm, yapf, tensorboard }:
buildPythonPackage rec {
pname = "basicsr";
version = "1.4.2";
src = fetchPypi {
inherit pname version;
sha256 = "11qy60qqxdxp1k0w0xsmjr65bdnxh29xkd0kk7d4r5pghxd5k6xq";
};
buildInputs = [ cython numpy torch ];
propagatedBuildInputs = [
addict
future
lmdb
numpy
opencv-python
pillow
pyyaml
requests
scikit-image
scipy
torch
torchvision
tqdm
yapf
tensorboard
];
# TODO FIXME
doCheck = false;
meta = with lib; {
description = "Open Source Image and Video Super-Resolution Toolbox";
homepage = "https://github.com/xinntao/BasicSR";
};
}

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# WARNING: This file was automatically generated. You should avoid editing it.
# If you run pynixify again, the file will be either overwritten or
# deleted, and you will lose the changes you made to it.
{ aenum, buildPythonPackage, deprecation, fetchPypi, lib, numpy, pillow }:
buildPythonPackage rec {
pname = "blendmodes";
version = "2022";
src = fetchPypi {
inherit pname version;
sha256 = "00zx3025rlpgdsy78znm9xqml3kfd41sq34gjss391qfx70z2s4k";
};
propagatedBuildInputs = [ pillow aenum deprecation numpy ];
# TODO FIXME
doCheck = false;
meta = with lib; {
description =
"Use this module to apply a number of blending modes to a background and foreground image";
homepage = "https://github.com/FHPythonUtils/BlendModes";
};
}

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packages/blip/default.nix Normal file
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{
stdenv
, fetchFromGitHub
, timm
, transformers
, fairscale
, lib
}:
stdenv.mkDerivation rec {
pname = "blip";
version = "0.1.0";
src = fetchFromGitHub {
owner = "salesforce";
repo = "BLIP";
rev = "48211a1594f1321b00f14c9f7a5b4813144b2fb9";
sha256 = "sha256-0IO+3M/Gy4VrNBFYYgZB2CzWhT3PTGBXNKPad61px5k=";
};
buildPhase = ''
mkdir -p $out/lib/python3.10/site-packages
cp -R ./ $out/lib/python3.10/site-packages/blip/
'';
dontInstall = true;
propagatedBuildInputs = [
timm
transformers
fairscale
#pycocoevalcap
];
# pythonImportsCheck = [
# "blip"
#];
# TODO FIXME
doCheck = false;
meta = with lib; {
description =
"Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation";
homepage = "https://github.com/salesforce/BLIP";
};
}

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# WARNING: This file was automatically generated. You should avoid editing it.
# If you run pynixify again, the file will be either overwritten or
# deleted, and you will lose the changes you made to it.
{ buildPythonPackage, fetchFromGitHub, lib, numpy, pillow, requests, scipy, torch, pythonRelaxDepsHook
, torchvision, tqdm }:
buildPythonPackage rec {
pname = "clean-fid";
version = "0.1.31";
src = fetchFromGitHub {
owner = "GaParmar";
repo = "clean-fid";
rev = "e74252caf7120d4d0b16d3ee0d64f7a526f995a2"; #no tags or releases in repo
sha256 = "sha256-/aw0W9htarpuCatTwmT4hEq4X+adohAQBIFwViPu/e8=";
};
#src = lib.cleanSource ../../..;
nativeBuildInputs = [ pythonRelaxDepsHook ];
pythonRelaxDeps = [ "requests" ];
propagatedBuildInputs =
[ torch torchvision numpy scipy tqdm pillow requests ];
# TODO FIXME
doCheck = false;
meta = with lib; {
description =
"FID calculation in PyTorch with proper image resizing and quantization steps";
homepage = "https://github.com/GaParmar/clean-fid";
};
}

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# WARNING: This file was automatically generated. You should avoid editing it.
# If you run pynixify again, the file will be either overwritten or
# deleted, and you will lose the changes you made to it.
{ buildPythonPackage, fetchPypi, lib, ftfy, regex, tqdm, torch, torchvision }:
buildPythonPackage rec {
pname = "clip-anytorch";
version = "2.5.0";
src = fetchPypi {
inherit pname version;
sha256 = "1pf8w4i6nrrz0879afbz4iar0ss82xl4mqm94lffd6c3f2gk05x3";
};
propagatedBuildInputs = [
ftfy
regex
tqdm
torch
torchvision
];
postUnpack = ''
#source distribution of torch-fidelity doesn't include this file, while it's used by setup.py
cp ${./requirements.txt} clip-anytorch-${version}/requirements.txt
'';
# TODO FIXME
doCheck = false;
meta = with lib; { };
}

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ftfy
regex
tqdm
torch
torchvision

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# WARNING: This file was automatically generated. You should avoid editing it.
# If you run pynixify again, the file will be either overwritten or
# deleted, and you will lose the changes you made to it.
{ buildPythonPackage, clip-anytorch, fetchFromGitHub, lib, matplotlib, numpy, opencv-python
, scipy, torch, torchvision }:
buildPythonPackage rec {
pname = "clipseg";
version = "0.0.1";
src = fetchFromGitHub {
owner = "invoke-ai";
repo = "clipseg";
rev = "master";
sha256 = "sha256-S5RAeodqG7X6E5hnFhorR3LmfapKD9r50PqXGuc5sXE=";
};
propagatedBuildInputs =
[ numpy scipy matplotlib torch torchvision opencv-python clip-anytorch ];
# TODO FIXME
doCheck = false;
meta = with lib; {
description = ''
This repository contains the code used in the paper "Image Segmentation Using Text and Image Prompts".'';
homepage = "https://github.com/timojl/clipseg";
};
}

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# WARNING: This file was automatically generated. You should avoid editing it.
# If you run pynixify again, the file will be either overwritten or
# deleted, and you will lose the changes you made to it.
{ addict
, basicsr
, stdenv
, future
, gdown
, lib
, lmdb
, lpips
, numpy
, opencv-python
, pillow
, pyyaml
, requests
, scikit-image
, scipy
, fetchFromGitHub
, buildPythonPackage
, torch
, cython
, torchvision
, tqdm
, wget
, yapf
, pythonRelaxDepsHook
}:
let
nestedBasicsr = buildPythonPackage
{
pname = "basicsr";
version = "0.1.2";
src = fetchFromGitHub {
owner = "sczhou";
repo = "CodeFormer";
rev = "c5b4593074ba6214284d6acd5f1719b6c5d739af";
sha256 = "sha256-JyyJe+VBeNK5rRaPJ4jYdKZqLnRfayHWkTwFNrSfseY=";
};
preBuild = ''
ln -s basicsr/setup.py setup.py
'';
postPatch = ''
substituteInPlace requirements.txt \
--replace opencv-python "" \
--replace tb-nightly ""
'';
nativeBuildInputs = [ cython ];
propagatedBuildInputs = [
pillow
pyyaml
addict
future
gdown
lmdb
lpips
numpy
opencv-python
requests
scikit-image
scipy
torch
torchvision
tqdm
wget
yapf
];
doCheck = false;
meta = with lib; {
description =
"Towards Robust Blind Face Restoration with Codebook Lookup Transformer (NeurIPS 2022)";
homepage = "None";
};
};
in
stdenv.mkDerivation rec {
pname = "codeformer";
version = "0.1.2";
src = fetchFromGitHub {
owner = "sczhou";
repo = "CodeFormer";
rev = "c5b4593074ba6214284d6acd5f1719b6c5d739af";
sha256 = "sha256-JyyJe+VBeNK5rRaPJ4jYdKZqLnRfayHWkTwFNrSfseY=";
};
buildPhase = ''
mkdir -p $out/lib/python3.10/site-packages
cp -R ./ $out/lib/python3.10/site-packages/codeformer/
cd $out/lib/python3.10/site-packages/codeformer/
cp -R ${nestedBasicsr}/lib/python3.10/site-packages/basicsr ./basicsr/
'';
dontInstall = true;
patches = [ ./root_dir.patch ];
propagatedBuildInputs = [
pillow
pyyaml
addict
future
gdown
lmdb
lpips
numpy
opencv-python
requests
scikit-image
scipy
torch
torchvision
tqdm
wget
yapf
];
# TODO FIXME
doCheck = false;
meta = with lib; {
description =
"Towards Robust Blind Face Restoration with Codebook Lookup Transformer (NeurIPS 2022)";
homepage = "None";
};
}

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diff --git a/facelib/utils/misc.py b/facelib/utils/misc.py
index 0240187..0570161 100644
--- a/facelib/utils/misc.py
+++ b/facelib/utils/misc.py
@@ -10,7 +10,7 @@ from urllib.parse import urlparse
import gdown
-ROOT_DIR = os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
+ROOT_DIR = f'{os.getcwd()}/models/facelib'
def download_pretrained_models(file_ids, save_path_root):

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{ buildPythonPackage, fetchPypi, lib, setuptools, transformers, diffusers, pyparsing, torch }:
buildPythonPackage rec {
pname = "compel";
version = "2.0.2";
format = "pyproject";
src = fetchPypi {
inherit pname version;
sha256 = "sha256-Lp3mS26l+d9Z+Prn662aV9HzadzJU8hkWICkm7GcLHw=";
};
propagatedBuildInputs = [
setuptools
diffusers
pyparsing
transformers
torch
];
# # TODO FIXME
doCheck = false;
meta = {
description = "A prompting enhancement library for transformers-type text embedding systems";
homepage = "https://github.com/damian0815/compel";
};
}

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{ lib
, buildPythonPackage
, fetchPypi
, setuptools
, wheel
, filelock
, huggingface-hub
, opencv-python
, torchvision
, einops
, scikit-image
, timm
, pythonRelaxDepsHook
}:
buildPythonPackage rec {
pname = "controlnet-aux";
version = "0.0.7";
format = "pyproject";
src = fetchPypi {
pname = "controlnet_aux";
inherit version;
hash = "sha256-23KZMjum04ni/mt9gTGgWica86SsKldHdUSMTQd4vow=";
};
propagatedBuildInputs = [
filelock
huggingface-hub
opencv-python
torchvision
einops
scikit-image
timm
];
nativeBuildInputs = [
setuptools
wheel
pythonRelaxDepsHook
];
pythonImportsCheck = [ "controlnet_aux" ];
pythonRemoveDeps = [ "opencv-python" ];
meta = with lib; {
description = "Auxillary models for controlnet";
homepage = "https://pypi.org/project/controlnet-aux/";
license = licenses.asl20;
maintainers = with maintainers; [ ];
};
}

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{ lib
, buildPythonPackage
, fetchPypi
, pydantic
, starlette
, pytestCheckHook
, pytest-asyncio
, aiosqlite
, flask
, httpx
, hatchling
, orjson
, passlib
, peewee
, python-jose
, sqlalchemy
, trio
, pythonOlder
, setuptools
}:
buildPythonPackage rec {
pname = "deforum";
version = "0.1.7";
disabled = pythonOlder "3.7";
src = fetchPypi {
inherit pname version;
sha256 = "sha256-vLwkSVj9gD6oDOeybQ4tTwcwey4mWuXYCjw9qFoaFsA=";
};
nativeBuildInputs = [
hatchling
];
propagatedBuildInputs = [
starlette
pydantic
];
doCheck = false;
meta = with lib; {
description = "Deforum is a Python package for diffusion animation toolkit.";
homepage = "https://github.com/deforum-art/deforum";
license = licenses.mit;
maintainers = with maintainers; [ ];
};
}

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{ lib
, buildPythonPackage
, fetchPypi
, setuptools
, safetensors
, isPy27
, numpy
, pillow
, requests
, regex
, importlib-metadata
, huggingface-hub
}:
buildPythonPackage rec {
pname = "diffusers";
version = "0.21.4";
disabled = isPy27;
format = "pyproject";
src = fetchPypi {
inherit pname version;
sha256 = "sha256-P6w4gzF5Qn8WfGdd2nHue09eYnIARXqNUn5Aza+XJog=";
};
propagatedBuildInputs = [
safetensors
setuptools
pillow
numpy
requests
regex
importlib-metadata
huggingface-hub
];
doCheck = false;
meta = with lib; {
description = "Diffusers";
homepage = "https://github.com/huggingface/diffusers";
};
}

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{ lib
, buildPythonPackage
, fetchPypi
, poetry-core
}:
buildPythonPackage rec {
pname = "discord-webhook";
version = "1.2.1";
format = "pyproject";
src = fetchPypi {
inherit pname version;
sha256 = "sha256-COB3vzKYNwvyMsUvGqrph/J6WbTRLdDaaA85f5N73ZU=";
};
propagatedBuildInputs = [ poetry-core ];
doCheck = false;
meta = with lib; {
description = "";
homepage = "https://github.com/lovvskillz/python-discord-webhook";
maintainers = with maintainers; [ ];
};
}

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{ lib
, buildPythonPackage
, fetchPypi
, hatchling
, jinja2
, pyparsing
, pytest
, pytest-cov
, pytest-lazy-fixture
, requests
, transformers
}:
buildPythonPackage rec {
pname = "dynamicprompts";
version = "0.27.1";
format = "pyproject";
src = fetchPypi {
inherit pname version;
hash = "sha256-lS/UgfZoR4wWozdtSAFBenIRljuPxnL8fMQT3dIA7WE=";
};
nativeBuildInputs = [
hatchling
];
propagatedBuildInputs = [
jinja2
pyparsing
];
passthru.optional-dependencies = {
dev = [
pytest
pytest-cov
pytest-lazy-fixture
];
feelinglucky = [
requests
];
magicprompt = [
transformers
];
};
pythonImportsCheck = [ "dynamicprompts" ];
meta = with lib; {
description = "Dynamic prompts templating library for Stable Diffusion";
homepage = "https://pypi.org/project/dynamicprompts/";
license = licenses.mit;
maintainers = with maintainers; [ ];
};
}

View file

@ -0,0 +1,32 @@
{ lib
, buildPythonPackage
, fetchPypi
, setuptools
, wheel
}:
buildPythonPackage rec {
pname = "easing-functions";
version = "1.0.4";
pyproject = true;
src = fetchPypi {
pname = "easing_functions";
inherit version;
hash = "sha256-4Yx5MdRFuF8oxNFa0Kmke7ZdTi7vwNs4QESPriXj+d4=";
};
nativeBuildInputs = [
setuptools
wheel
];
pythonImportsCheck = [ "easing_functions" ];
meta = with lib; {
description = "A collection of the basic easing functions for python";
homepage = "https://pypi.org/project/easing-functions/";
license = licenses.unfree; # FIXME: nix-init did not found a license
maintainers = with maintainers; [ ];
};
}

View file

@ -0,0 +1,33 @@
{ lib
, buildPythonPackage
, fetchPypi
, setuptools
, torch
, beartype
}:
buildPythonPackage rec {
pname = "ema-pytorch";
version = "0.3.0";
format = "pyproject";
src = fetchPypi {
inherit pname version;
hash = "sha256-xZv/45dxN2aYUUAq9JRlCWcJnalAD1SuMbyU+//jBhw=";
};
buildInputs = [
setuptools
];
propagatedBuildInputs = [
torch
beartype
];
pythonImportsCheck = [ "ema_pytorch" ];
meta = with lib; {
license = licenses.mit;
maintainers = with maintainers; [ ];
};
}

View file

@ -0,0 +1,39 @@
# WARNING: This file was automatically generated. You should avoid editing it.
# If you run pynixify again, the file will be either overwritten or
# deleted, and you will lose the changes you made to it.
{ buildPythonPackage, cython, fetchPypi, filterpy, lib, numba, numpy
, opencv-python, pillow, scipy, torch, torchvision, tqdm }:
buildPythonPackage rec {
pname = "facexlib";
version = "0.2.5";
src = fetchPypi {
inherit pname version;
sha256 = "1r378mb167k2hynrn1wsi78xbh2aw6x68i8f70nmcqsxxp20rqii";
};
patches = [ ./root_dir.patch ];
buildInputs = [ cython numpy ];
propagatedBuildInputs = [
filterpy
numba
numpy
numpy
opencv-python
pillow
scipy
torch
torchvision
tqdm
];
# TODO FIXME
doCheck = false;
meta = with lib; {
description = "Basic face library";
homepage = "https://github.com/xinntao/facexlib";
};
}

View file

@ -0,0 +1,41 @@
diff --git a/facexlib/detection/__init__.py b/facexlib/detection/__init__.py
index f5d34ea..9e3b247 100644
--- a/facexlib/detection/__init__.py
+++ b/facexlib/detection/__init__.py
@@ -1,5 +1,6 @@
import torch
from copy import deepcopy
+import os
from facexlib.utils import load_file_from_url
from .retinaface import RetinaFace
@@ -16,7 +17,7 @@ def init_detection_model(model_name, half=False, device='cuda', model_rootpath=N
raise NotImplementedError(f'{model_name} is not implemented.')
model_path = load_file_from_url(
- url=model_url, model_dir='facexlib/weights', progress=True, file_name=None, save_dir=model_rootpath)
+ url=model_url, model_dir=f'{os.getcwd()}/src/facexlib/weights', progress=True, file_name=None, save_dir=model_rootpath)
# TODO: clean pretrained model
load_net = torch.load(model_path, map_location=lambda storage, loc: storage)
diff --git a/facexlib/parsing/__init__.py b/facexlib/parsing/__init__.py
index 9be36a3..eb4da3f 100644
--- a/facexlib/parsing/__init__.py
+++ b/facexlib/parsing/__init__.py
@@ -3,6 +3,7 @@ import torch
from facexlib.utils import load_file_from_url
from .bisenet import BiSeNet
from .parsenet import ParseNet
+import os
def init_parsing_model(model_name='bisenet', half=False, device='cuda', model_rootpath=None):
@@ -16,7 +17,7 @@ def init_parsing_model(model_name='bisenet', half=False, device='cuda', model_ro
raise NotImplementedError(f'{model_name} is not implemented.')
model_path = load_file_from_url(
- url=model_url, model_dir='facexlib/weights', progress=True, file_name=None, save_dir=model_rootpath)
+ url=model_url, model_dir=f'{os.getcwd()}/src/facexlib/weights', progress=True, file_name=None, save_dir=model_rootpath)
load_net = torch.load(model_path, map_location=lambda storage, loc: storage)
model.load_state_dict(load_net, strict=True)
model.eval()

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@ -0,0 +1,27 @@
# WARNING: This file was automatically generated. You should avoid editing it.
# If you run pynixify again, the file will be either overwritten or
# deleted, and you will lose the changes you made to it.
{ buildPythonPackage, fetchPypi, lib, ninja, numpy, torch}:
buildPythonPackage rec {
pname = "fairscale";
version = "0.4.12";
src = fetchPypi {
inherit pname version;
sha256 = "0zjgdida0bxvi4dx1dgq0sfl6h7cjmkma5c1rxbwym97p8aqcs3g";
};
nativeBuildInputs = [ ninja ];
propagatedBuildInputs = [ torch numpy ];
patches = [ ./ninja_remove.patch ];
# TODO FIXME
doCheck = false;
meta = with lib; {
description =
"FairScale: A PyTorch library for large-scale and high-performance training.";
};
}

View file

@ -0,0 +1,12 @@
diff --git a/setup.py b/setup.py
index f7b6d94..fe64c96 100644
--- a/setup.py
+++ b/setup.py
@@ -58,7 +58,6 @@ if __name__ == "__main__":
name="fairscale",
description="FairScale: A PyTorch library for large-scale and high-performance training.",
version=find_version("fairscale/version.py"),
- setup_requires=["ninja"], # ninja is required to build extensions
install_requires=fetch_requirements(),
include_package_data=True,
packages=setuptools.find_packages(exclude=("tests", "tests.*")),

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@ -0,0 +1,35 @@
{ lib
, buildPythonPackage
, fetchFromGitHub
, setuptools
, wheel
}:
buildPythonPackage rec {
pname = "fastapi-events";
version = "0.8.0";
pyproject = true;
src = fetchFromGitHub {
owner = "melvinkcx";
repo = "fastapi-events";
rev = "v${version}";
hash = "sha256-dfLZDacu5jb2HcfI1Y2/xCDr1kTM6E5xlHAPratD+Yw=";
};
doCheck = false;
nativeBuildInputs = [
setuptools
wheel
];
pythonImportsCheck = [ "fastapi_events" ];
meta = with lib; {
description = "Asynchronous event dispatching/handling library for FastAPI and Starlette";
homepage = "https://github.com/melvinkcx/fastapi-events";
license = licenses.mit;
maintainers = with maintainers; [ ];
};
}

View file

@ -0,0 +1,47 @@
{ lib
, buildPythonPackage
, fetchPypi
, setuptools
, wheel
, fastapi
, python-socketio
, pytest
}:
buildPythonPackage rec {
pname = "fastapi-socketio";
version = "0.0.10";
format = "pyproject";
doCheck = false;
src = fetchPypi {
inherit pname version;
hash = "sha256-IC+bMZ8BAAHL0RFOySoNnrX1ypMW6uX9QaYIjaCBJyc=";
};
nativeBuildInputs = [
setuptools
wheel
];
propagatedBuildInputs = [
fastapi
python-socketio
];
passthru.optional-dependencies = {
test = [
pytest
];
};
pythonImportsCheck = [ "fastapi_socketio" ];
meta = with lib; {
description = "Easily integrate socket.io with your FastAPI app";
homepage = "https://pypi.org/project/fastapi-socketio/";
license = licenses.asl20;
maintainers = with maintainers; [ ];
};
}

View file

@ -0,0 +1,100 @@
{ lib
, buildPythonPackage
, fetchFromGitHub
, pydantic
, starlette
, pytestCheckHook
, pytest-asyncio
, aiosqlite
, flask
, httpx
, hatchling
, orjson
, passlib
, peewee
, python-jose
, sqlalchemy
, trio
, pythonOlder
}:
buildPythonPackage rec {
pname = "fastapi";
version = "0.85.2";
format = "pyproject";
disabled = pythonOlder "3.7";
src = fetchFromGitHub {
owner = "tiangolo";
repo = pname;
rev = "refs/tags/${version}";
hash = "sha256-j3Set+xWNcRqbn90DJOJQhMrJYI3msvWHlFvN1habP0=";
};
nativeBuildInputs = [
hatchling
];
postPatch = ''
substituteInPlace pyproject.toml \
--replace "starlette==" "starlette>="
'';
propagatedBuildInputs = [
starlette
pydantic
];
doCheck = false;
checkInputs = [
aiosqlite
flask
httpx
orjson
passlib
peewee
python-jose
pytestCheckHook
pytest-asyncio
sqlalchemy
trio
] ++ passlib.optional-dependencies.bcrypt;
pytestFlagsArray = [
# ignoring deprecation warnings to avoid test failure from
# tests/test_tutorial/test_testing/test_tutorial001.py
"-W ignore::DeprecationWarning"
];
disabledTestPaths = [
# Disabled tests require orjson which requires rust nightly
"tests/test_default_response_class.py"
# Don't test docs and examples
"docs_src"
];
disabledTests = [
"test_get_custom_response"
# Failed: DID NOT RAISE <class 'starlette.websockets.WebSocketDisconnect'>
"test_websocket_invalid_data"
"test_websocket_no_credentials"
# TypeError: __init__() missing 1...starlette-releated
"test_head"
"test_options"
"test_trace"
];
pythonImportsCheck = [
"fastapi"
];
meta = with lib; {
description = "Web framework for building APIs";
homepage = "https://github.com/tiangolo/fastapi";
license = licenses.mit;
maintainers = with maintainers; [ wd15 ];
};
}

View file

@ -0,0 +1,34 @@
{ lib
, buildPythonPackage
, fetchPypi
, pythonOlder
, ffmpeg
}:
buildPythonPackage rec {
pname = "ffmpy";
version = "0.3.0";
disabled = pythonOlder "3.6";
# The github repo has no release tags, the pypi distribution has no tests.
# This package is quite trivial anyway, and the tests mainly play around with the ffmpeg cli interface.
# https://github.com/Ch00k/ffmpy/issues/60
src = fetchPypi {
inherit pname version;
sha256 = "dXWRWB7uJbSlCsn/ubWANaJ5RTPbR+BRL1P7LXtvmtw=";
};
propagatedBuildInputs = [
ffmpeg
];
pythonImportsCheck = [ "ffmpy" ];
meta = with lib; {
description = "A simple python interface for FFmpeg/FFprobe";
homepage = "https://github.com/Ch00k/ffmpy";
license = licenses.mit;
maintainers = with maintainers; [ pbsds ];
};
}

View file

@ -0,0 +1,44 @@
{ lib
, buildPythonPackage
, fetchPypi
, setuptools
, attrs
, numpy
, pulp
, torch
, tqdm
, transformers
}:
buildPythonPackage rec {
pname = "flexgen";
version = "0.1.7";
format = "pyproject";
src = fetchPypi {
inherit pname version;
hash = "sha256-GYnl5CYsMWgTdbCfhWcNyjtpnHCXAcYWtMUmAJcRQAM=";
};
nativeBuildInputs = [
setuptools
];
propagatedBuildInputs = [
attrs
numpy
pulp
torch
tqdm
transformers
];
pythonImportsCheck = [ "flexgen" ];
meta = with lib; {
description = "Running large language models like OPT-175B/GPT-3 on a single GPU. Focusing on high-throughput large-batch generation";
homepage = "https://github.com/FMInference/FlexGen";
license = licenses.asl20;
maintainers = with maintainers; [ jpetrucciani ];
};
}

View file

@ -0,0 +1,19 @@
{ buildPythonPackage, fetchPypi, lib }:
buildPythonPackage rec {
pname = "font-roboto";
version = "0.0.1";
src = fetchPypi {
inherit pname version;
sha256 = "sha256-i8kTa/RmCfuxOvR4MBZ5mxTiPdopSmF5EXHefqLsRX8=";
};
# TODO FIXME
doCheck = false;
meta = with lib; {
description = "Roboto is a neo-grotesque sans-serif font family designed by Google for the Android mobile OS.";
homepage = "https://github.com/pimoroni/fonts-python";
};
}

View file

@ -0,0 +1,19 @@
{ buildPythonPackage, fetchPypi, lib }:
buildPythonPackage rec {
pname = "fonts";
version = "0.0.3";
src = fetchPypi {
inherit pname version;
sha256 = "sha256-xiZlW3WmBxXhGOROJwZW/SL9j1QlKQH/br8TCK0BxAU=";
};
# TODO FIXME
doCheck = false;
meta = with lib; {
description = "A Python framework for distributing and managing fonts.";
homepage = "https://github.com/pimoroni/fonts-python";
};
}

View file

@ -0,0 +1,25 @@
# WARNING: This file was automatically generated. You should avoid editing it.
# If you run pynixify again, the file will be either overwritten or
# deleted, and you will lose the changes you made to it.
{ buildPythonPackage, fetchPypi, lib }:
buildPythonPackage rec {
pname = "getpass-asterisk";
version = "1.0.1";
src = fetchPypi {
inherit version;
pname = "getpass_asterisk";
sha256 = "1sd99sss404hzp1zsks69q4ck186wgjv8g5p2m7glqng4jlmghvw";
};
# TODO FIXME
doCheck = false;
meta = with lib; {
description =
"An alternative implementation for getpass that echoes masked password (such as asterisks)";
homepage = "https://github.com/secursive/getpass_asterisk";
};
}

View file

@ -0,0 +1,41 @@
# WARNING: This file was automatically generated. You should avoid editing it.
# If you run pynixify again, the file will be either overwritten or
# deleted, and you will lose the changes you made to it.
{ basicsr, buildPythonPackage, cython, facexlib, fetchPypi, lib, lmdb, numpy
, opencv-python, pyyaml, scipy, torch, torchvision, tqdm, yapf, tensorboard }:
buildPythonPackage rec {
pname = "gfpgan";
version = "1.3.8";
src = fetchPypi {
inherit pname version;
sha256 = "1yf4c25grfb97y1mrdanp6d3mwh4400nnlnb902279lfrq38nq91";
};
buildInputs = [ cython numpy ];
propagatedBuildInputs = [
basicsr
facexlib
lmdb
numpy
opencv-python
pyyaml
scipy
torch
torchvision
tqdm
yapf
tensorboard
];
# TODO FIXME
doCheck = false;
meta = with lib; {
description =
"GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration";
homepage = "https://github.com/TencentARC/GFPGAN";
};
}

View file

@ -0,0 +1,51 @@
{ lib
, buildPythonPackage
, fetchPypi
, hatch-fancy-pypi-readme
, hatch-requirements-txt
, hatchling
, fsspec
, httpx
, huggingface-hub
, packaging
, requests
, typing-extensions
, websockets
}:
buildPythonPackage rec {
pname = "gradio-client";
version = "0.7.0";
format = "pyproject";
src = fetchPypi {
pname = "gradio_client";
inherit version;
hash = "sha256-+MNVJzfaWocluz4b6hD3e703gj8NeU1BDphe9xJyCaw=";
};
nativeBuildInputs = [
hatch-fancy-pypi-readme
hatch-requirements-txt
hatchling
];
propagatedBuildInputs = [
fsspec
httpx
huggingface-hub
packaging
requests
typing-extensions
websockets
];
pythonImportsCheck = [ "gradio_client" ];
meta = with lib; {
description = "Python library for easily interacting with trained machine learning models";
homepage = "https://github.com/gradio-app/gradio";
license = licenses.asl20;
maintainers = with maintainers; [ ];
};
}

105
packages/gradio/default.nix Normal file
View file

@ -0,0 +1,105 @@
{ lib
, buildPythonPackage
, fetchPypi
, pythonOlder
, writeTextFile
, setuptools
, analytics-python
, aiohttp
, fastapi
, ffmpy
, markdown-it-py
, linkify-it-py
, mdit-py-plugins
, matplotlib
, numpy
, orjson
, pandas
, paramiko
, pillow
, pycryptodome
, python-multipart
, pydub
, requests
, uvicorn
, jinja2
, fsspec
, httpx
, pydantic
, typing-extensions
, pytest-asyncio
, mlflow
, huggingface-hub
, transformers , wandb
, respx
, scikitimage
, shap
, ipython
, hatchling
, hatch-requirements-txt
, hatch-fancy-pypi-readme
, pytestCheckHook
, websockets
}:
buildPythonPackage rec {
pname = "gradio";
version = "3.41.2";
disabled = pythonOlder "3.7";
format = "pyproject";
# We use the Pypi release, as it provides prebuild webui assets,
# and its releases are also more frequent than github tags
src = fetchPypi {
inherit pname version;
sha256 = "sha256-lcYrUEGVq+M2PQFRZ86Eis3he3W4lKeaLeeMz8/YLLI="; };
nativeBuildInputs = [
hatchling
hatch-requirements-txt
hatch-fancy-pypi-readme
];
propagatedBuildInputs = [
analytics-python
aiohttp
fastapi
ffmpy
matplotlib
numpy
orjson
pandas
paramiko
pillow
pycryptodome
python-multipart
pydub
requests
uvicorn
jinja2
fsspec
httpx
pydantic
websockets
markdown-it-py
] ++ markdown-it-py.optional-dependencies.plugins
++ markdown-it-py.optional-dependencies.linkify;
postPatch = ''
# Unpin h11, as its version was only pinned to aid dependency resolution.
# Basically a revert of https://github.com/gradio-app/gradio/pull/1680
substituteInPlace requirements.txt \
--replace "h11<0.13,>=0.11" ""
substituteInPlace requirements.txt \
--replace "# required for fastapi forms" ""
substituteInPlace requirements-oauth.txt \
--replace "# required for starlette SessionMiddleware" ""
'';
# TODO FIXME
doCheck = false;
meta = with lib; {
homepage = "https://www.gradio.app/";
description = "Python library for easily interacting with trained machine learning models";
};
}

View file

@ -0,0 +1,87 @@
{ lib
, buildPythonPackage
, fetchPypi
, git-python
, gql
, nbformat
, packaging
, pyyaml
, requests
, tqdm
, black
, flake8
, isort
, pytest
, pytest-xdist
, tokenizers
, torch
, transformers
}:
buildPythonPackage rec {
pname = "hf-doc-builder";
version = "0.4.0";
format = "pyproject";
src = fetchPypi {
inherit pname version;
hash = "sha256-I8AnfIa9IK5lXAn8oHJzyvJT51VNFFmnKIWhhhYhVI0=";
};
propagatedBuildInputs = [
git-python
gql
nbformat
packaging
pyyaml
requests
tqdm
];
passthru.optional-dependencies = {
all = [
black
flake8
isort
pytest
pytest-xdist
tokenizers
torch
transformers
];
dev = [
black
flake8
isort
pytest
pytest-xdist
tokenizers
torch
transformers
];
quality = [
black
flake8
isort
];
testing = [
pytest
pytest-xdist
tokenizers
torch
transformers
];
transformers = [
transformers
];
};
pythonImportsCheck = [ "hf-doc-builder" ];
meta = with lib; {
description = "Doc building utility";
homepage = "https://github.com/huggingface/doc-builder";
license = licenses.asl20;
maintainers = with maintainers; [ jpetrucciani ];
};
}

View file

@ -0,0 +1,41 @@
# WARNING: This file was automatically generated. You should avoid editing it.
# If you run pynixify again, the file will be either overwritten or
# deleted, and you will lose the changes you made to it.
{ accelerate, buildPythonPackage, clip-anytorch, einops, fetchPypi, jsonmerge
, kornia, lib, pillow, resize-right, scikit-image, scipy, torch, torchdiffeq
, torchvision, tqdm, wandb, clean-fid, torchsde }:
buildPythonPackage rec {
pname = "k-diffusion";
version = "0.1.0";
src = fetchPypi {
inherit pname version;
sha256 = "sha256-nsPzKQCtuyvCr/biuOVKx0ZyWfV1qU2m1z4aeoRhSPw=";
};
propagatedBuildInputs = [
accelerate
clip-anytorch
einops
jsonmerge
kornia
pillow
resize-right
scikit-image
scipy
torch
torchdiffeq
torchvision
torchsde
tqdm
wandb
clean-fid
];
# TODO FIXME
doCheck = false;
meta = with lib; { };
}

View file

@ -0,0 +1,23 @@
# WARNING: This file was automatically generated. You should avoid editing it.
# If you run pynixify again, the file will be either overwritten or
# deleted, and you will lose the changes you made to it.
{ buildPythonPackage, fetchPypi, lib, packaging, pytest-runner, torch }:
buildPythonPackage rec {
pname = "kornia";
version = "0.6.8";
src = fetchPypi {
inherit pname version;
sha256 = "0mlcnpqfd411hzn592lgz8pk3asdanks68ld1q1lzay0acjf1189";
};
buildInputs = [ pytest-runner ];
propagatedBuildInputs = [ packaging torch ];
# TODO FIXME
doCheck = false;
meta = with lib; { };
}

View file

@ -0,0 +1,32 @@
{ lib
, buildPythonPackage
, pythonOlder
, fetchFromGitHub
, torch
}:
buildPythonPackage rec {
pname = "lion-pytorch";
version = "0.0.7";
format = "setuptools";
disabled = pythonOlder "3.6";
src = fetchFromGitHub {
owner = "lucidrains";
repo = "lion-pytorch";
rev = "refs/tags/${version}";
hash = "sha256-CSb0s3DKv/KpEmCkCR+Y8iwrLdCL9w9Pl6W46cPB420";
};
propagatedBuildInputs = [ torch ];
pythonImportsCheck = [ "lion_pytorch" ];
doCheck = false; # no tests currently
meta = with lib; {
description = "Optimizer tuned by Google Brain using genetic algorithms";
homepage = "https://github.com/lucidrains/lion-pytorch";
license = licenses.mit;
maintainers = with maintainers; [ bcdarwin ];
};
}

View file

@ -0,0 +1,53 @@
{ buildPythonPackage, fetchFromGitHub, lib, stdenv, darwin, cmake, ninja, poetry-core, scikit-build, setuptools, typing-extensions }:
let
inherit (stdenv) isDarwin;
osSpecific = with darwin.apple_sdk.frameworks; if isDarwin then [ Accelerate CoreGraphics CoreVideo ] else [ ];
llama-cpp-pin = fetchFromGitHub {
owner = "ggerganov";
repo = "llama.cpp";
rev = "2e6cd4b02549e343bef3768e6b946f999c82e823";
hash = "sha256-VzY3e/EJ+LLx55H0wkIVoHfZ0zAShf6Y9Q3fz4xQ0V8=";
};
in
buildPythonPackage rec {
pname = "llama-cpp-python";
version = "0.1.54";
format = "pyproject";
src = fetchFromGitHub {
owner = "abetlen";
repo = pname;
rev = "refs/tags/v${version}";
hash = "sha256-8YIMbJIMwWJWkXjnjcgR5kvSq4uBd6E/IA2xRm+W5dM=";
};
preConfigure = ''
cp -r ${llama-cpp-pin}/. ./vendor/llama.cpp
chmod -R +w ./vendor/llama.cpp
'';
preBuild = ''
cd ..
'';
buildInputs = osSpecific;
nativeBuildInputs = [
cmake
ninja
poetry-core
scikit-build
setuptools
];
propagatedBuildInputs = [
typing-extensions
];
pythonImportsCheck = [ "llama_cpp" ];
meta = with lib; {
description = "A Python wrapper for llama.cpp";
homepage = "https://github.com/abetlen/llama-cpp-python";
license = licenses.mit;
maintainers = with maintainers; [ jpetrucciani ];
};
}

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{ lib
, buildPythonPackage
, fetchPypi
, setuptools
, torch
, einops
}:
buildPythonPackage rec {
pname = "local-attention";
version = "1.9.0";
format = "pyproject";
src = fetchPypi {
inherit pname version;
hash = "sha256-p7F53JIjWLS7SLMXLPs0nttFnRvc5YnYN4alel42kKY=";
};
buildInputs = [
setuptools
];
propagatedBuildInputs = [
torch
einops
];
pythonImportsCheck = [ "local_attention" ];
meta = with lib; {
license = licenses.mit;
maintainers = with maintainers; [ ];
};
}

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@ -0,0 +1,23 @@
{ buildPythonPackage, fetchPypi, lib, numpy, tqdm, scipy, torch
, torchvision }:
buildPythonPackage rec {
pname = "lpips";
version = "0.1.4";
src = fetchPypi {
inherit pname version;
sha256 = "OEYzHfbGloiuw9MApe7vbFKUNbyEYL1YIBw9YuVhiPo=";
};
propagatedBuildInputs =
[ numpy tqdm scipy torch torchvision ];
# TODO FIXME
doCheck = false;
meta = with lib; {
description = "Perceptual Similarity Metric and Dataset";
homepage = "https://richzhang.github.io/PerceptualSimilarity/";
};
}

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@ -0,0 +1,34 @@
{ lib
, fetchurl
, buildPythonPackage
, protobuf
, numpy
, opencv4
, attrs
, matplotlib
, autoPatchelfHook
}:
buildPythonPackage {
pname = "mediapipe";
version = "0.10.7";
format = "wheel";
src = fetchurl {
url = "https://files.pythonhosted.org/packages/52/92/a2b0f9a943ebee88aa9dab040535ea05908ec102b8052b28c645cf0ac25b/mediapipe-0.10.7-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl";
sha256 = "sha256-88kAkpxRn4Pj+Ib95WNj+53P36gHjpFt5rXlaX4bpco=";
};
propagatedBuildInputs = [ protobuf numpy opencv4 matplotlib attrs ];
nativeBuildInputs = [ autoPatchelfHook ];
pythonImportsCheck = [ "mediapipe" ];
meta = with lib; {
description = "Cross-platform, customizable ML solutions for live and streaming media";
homepage = "https://github.com/google/mediapipe/releases/tag/v0.10.7";
license = licenses.asl20;
maintainers = with maintainers; [ ];
};
}

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# WARNING: This file was automatically generated. You should avoid editing it.
# If you run pynixify again, the file will be either overwritten or
# deleted, and you will lose the changes you made to it.
{ buildPythonPackage
, fetchFromGitHub
, ftfy
, huggingface-hub
, lib
, regex
, sentencepiece
, torch
, torchvision
, tqdm
, protobuf
}:
buildPythonPackage rec {
pname = "open_clip";
version = "2.20.0";
src = fetchFromGitHub {
owner = "mlfoundations";
repo = "open_clip";
rev = "v2.20.0";
sha256 = "sha256-Ca4oi2LqleIFAGBJB7YIi4nXe2XhOP6ErDFXgXtJLxM=";
};
propagatedBuildInputs = [
torch
torchvision
regex
ftfy
tqdm
huggingface-hub
sentencepiece
protobuf
];
# TODO FIXME
doCheck = false;
meta = with lib; {
description = "OpenCLIP";
homepage = "https://github.com/mlfoundations/open_clip";
};
}

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@ -0,0 +1,46 @@
# WARNING: This file was automatically generated. You should avoid editing it.
# If you run pynixify again, the file will be either overwritten or
# deleted, and you will lose the changes you made to it.
{ buildPythonPackage
, fetchFromGitHub
, ftfy
, huggingface-hub
, lib
, regex
, sentencepiece
, torch
, torchvision
, tqdm
, protobuf
, fetchPypi
}:
buildPythonPackage rec {
pname = "open-clip-torch";
version = "2.7.0";
format = "setuptools";
src = fetchTarball {
url = "https://files.pythonhosted.org/packages/eb/e5/1f5469f53ea8b09661984fedf41cd55b7585e2e0c7a2d245255ab0fb385e/open_clip_torch-2.7.0.tar.gz";
sha256 = "sha256:16133ym9fzcv8a0h84213hsy083sf0ali5qqfsgyadm28x5w4avi";
};
propagatedBuildInputs = [
torch
torchvision
regex
ftfy
tqdm
huggingface-hub
sentencepiece
protobuf
];
# TODO FIXME
doCheck = false;
meta = with lib; {
};
}

59
packages/peft/default.nix Normal file
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@ -0,0 +1,59 @@
{ lib
, buildPythonPackage
, fetchPypi
, accelerate
, numpy
, packaging
, psutil
, pyyaml
, torch
, transformers
, black
, hf-doc-builder
, ruff
}:
buildPythonPackage rec {
pname = "peft";
version = "0.2.0";
format = "pyproject";
src = fetchPypi {
inherit pname version;
hash = "sha256-zjP0hMcDgZBwW2nk0iiSMMfBgZwQhHgUg6yOEY8Kca8=";
};
propagatedBuildInputs = [
accelerate
numpy
packaging
psutil
pyyaml
torch
transformers
];
passthru.optional-dependencies = {
dev = [
black
hf-doc-builder
ruff
];
docs_specific = [
hf-doc-builder
];
quality = [
black
ruff
];
};
pythonImportsCheck = [ "peft" ];
meta = with lib; {
description = "Parameter-Efficient Fine-Tuning (PEFT";
homepage = "https://github.com/huggingface/peft";
license = licenses.asl20;
maintainers = with maintainers; [ jpetrucciani ];
};
}

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{ lib
, buildPythonPackage
, fetchPypi
, setuptools
, writeText
, isPy27
, pytestCheckHook
, pytest-mpl
, numpy
, scipy
, scikit-learn
, pandas
, transformers
, opencv4
, lightgbm
, catboost
, pyspark
, sentencepiece
, tqdm
, slicer
, numba
, matplotlib
, nose
, lime
, cloudpickle
, ipython
, packaging
}:
buildPythonPackage rec {
pname = "picklescan";
version = "0.0.7";
disabled = isPy27;
format = "pyproject";
src = fetchPypi {
inherit pname version;
sha256 = "sha256-5HFpf+VPVIL/IvGDpOP9q0pdleNshiSW3QffX8qJVAk=";
};
propagatedBuildInputs = [
setuptools
];
doCheck = false;
meta = with lib; {
description = "Security scanner detecting Python Pickle files performing suspicious actions";
homepage = "https://github.com/mmaitre314/picklescan";
};
}

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@ -0,0 +1,42 @@
{ lib
, stdenv
, buildPythonPackage
, pythonOlder
, fetchPypi
, isPyPy
, defusedxml, olefile, freetype, libjpeg, zlib, libtiff, libwebp, libxcrypt, tcl, lcms2, tk, libX11
, libxcb, openjpeg, libimagequant, pyroma, numpy, pytestCheckHook
# for passthru.tests
, imageio, matplotlib, pilkit, pydicom, reportlab
}@args:
import ./generic.nix (rec {
pname = "pillow";
version = "9.4.0";
format = "setuptools";
disabled = pythonOlder "3.7";
src = fetchPypi {
pname = "Pillow";
inherit version;
hash = "sha256-ocLXeARI65P7zDeJvzkWqlcg2ULjeUX0BWaAMX8c0j4=";
};
passthru.tests = {
inherit imageio matplotlib pilkit pydicom reportlab;
};
meta = with lib; {
homepage = "https://python-pillow.org/";
description = "The friendly PIL fork (Python Imaging Library)";
longDescription = ''
The Python Imaging Library (PIL) adds image processing
capabilities to your Python interpreter. This library
supports many file formats, and provides powerful image
processing and graphics capabilities.
'';
license = licenses.hpnd;
maintainers = with maintainers; [ goibhniu prikhi SuperSandro2000 ];
};
} // args )

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{ pname
, version
, disabled
, src
, patches ? []
, meta
, passthru ? {}
, ...
}@args:
with args;
buildPythonPackage rec {
inherit pname version format src meta passthru patches;
# Disable imagefont tests, because they don't work well with infinality:
# https://github.com/python-pillow/Pillow/issues/1259
postPatch = ''
rm Tests/test_imagefont.py
'';
disabledTests = [
# Code quality mismathch 9 vs 10
"test_pyroma"
# pillow-simd
"test_roundtrip"
"test_basic"
"test_custom_metadata"
"test_file_png"
] ++ lib.optionals stdenv.isDarwin [
# Disable darwin tests which require executables: `iconutil` and `screencapture`
"test_grab"
"test_grabclipboard"
"test_save"
];
propagatedBuildInputs = [ olefile ]
++ lib.optionals (lib.versionAtLeast version "8.2.0") [ defusedxml ];
nativeCheckInputs = [ pytestCheckHook pyroma numpy ];
buildInputs = [ freetype libjpeg openjpeg libimagequant zlib libtiff libwebp libxcrypt tcl lcms2 ]
++ lib.optionals (lib.versionAtLeast version "7.1.0") [ libxcb ]
++ lib.optionals (isPyPy) [ tk libX11 ];
# NOTE: we use LCMS_ROOT as WEBP root since there is not other setting for webp.
# NOTE: The Pillow install script will, by default, add paths like /usr/lib
# and /usr/include to the search paths. This can break things when building
# on a non-NixOS system that has some libraries installed that are not
# installed in Nix (for example, Arch Linux has jpeg2000 but Nix doesn't
# build Pillow with this support). We patch the `disable_platform_guessing`
# setting here, instead of passing the `--disable-platform-guessing`
# command-line option, since the command-line option doesn't work when we run
# tests.
preConfigure = let
libinclude' = pkg: ''"${pkg.out}/lib", "${pkg.out}/include"'';
libinclude = pkg: ''"${pkg.out}/lib", "${pkg.dev}/include"'';
in ''
sed -i "setup.py" \
-e 's|^FREETYPE_ROOT =.*$|FREETYPE_ROOT = ${libinclude freetype}|g ;
s|^JPEG_ROOT =.*$|JPEG_ROOT = ${libinclude libjpeg}|g ;
s|^JPEG2K_ROOT =.*$|JPEG2K_ROOT = ${libinclude openjpeg}|g ;
s|^IMAGEQUANT_ROOT =.*$|IMAGEQUANT_ROOT = ${libinclude' libimagequant}|g ;
s|^ZLIB_ROOT =.*$|ZLIB_ROOT = ${libinclude zlib}|g ;
s|^LCMS_ROOT =.*$|LCMS_ROOT = ${libinclude lcms2}|g ;
s|^TIFF_ROOT =.*$|TIFF_ROOT = ${libinclude libtiff}|g ;
s|^TCL_ROOT=.*$|TCL_ROOT = ${libinclude' tcl}|g ;
s|self\.disable_platform_guessing = None|self.disable_platform_guessing = True|g ;'
export LDFLAGS="$LDFLAGS -L${libwebp}/lib"
export CFLAGS="$CFLAGS -I${libwebp}/include"
'' + lib.optionalString (lib.versionAtLeast version "7.1.0") ''
export LDFLAGS="$LDFLAGS -L${libxcb}/lib"
export CFLAGS="$CFLAGS -I${libxcb.dev}/include"
'' + lib.optionalString stdenv.isDarwin ''
# Remove impurities
substituteInPlace setup.py \
--replace '"/Library/Frameworks",' "" \
--replace '"/System/Library/Frameworks"' ""
'';
}

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@ -0,0 +1,24 @@
# WARNING: This file was automatically generated. You should avoid editing it.
# If you run pynixify again, the file will be either overwritten or
# deleted, and you will lose the changes you made to it.
{ buildPythonPackage, fetchPypi, lib }:
buildPythonPackage rec {
pname = "pydeprecate";
version = "0.3.2";
src = fetchPypi {
inherit version;
pname = "pyDeprecate";
sha256 = "0afxbg5scrlydqkm1cwlnlb0mffrzl785gn4wxrw9xnpqmn130fl";
};
# TODO FIXME
doCheck = false;
meta = with lib; {
description = "Deprecation tooling";
homepage = "https://borda.github.io/pyDeprecate";
};
}

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@ -0,0 +1,24 @@
{ buildPythonPackage, lib, fetchPypi
}:
buildPythonPackage rec {
pname = "PyFunctional";
version = "1.4.3";
src = fetchPypi {
inherit pname version;
sha256 = "sha256-EcMT/iUbJpxlBmiRNUVqBbxab6EpydArRF84PU9BHhA=";
};
propagatedBuildInputs = [
];
# TODO FIXME
doCheck = false;
meta = with lib; {
description = "PyFunctional makes creating data pipelines easy by using chained functional operators.";
homepage = "https://github.com/EntilZha/PyFunctional";
};
}

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@ -0,0 +1,92 @@
{ lib
, buildPythonPackage
, pkg-config
, fetchPypi
, stdenv
, fetchzip
, setuptools
, writeText
, isPy27
, pytestCheckHook
, pytest-mpl
, numpy
, scipy
, scikit-learn
, pandas
, transformers
, opencv4
, lightgbm
, catboost
, pyspark
, sentencepiece
, tqdm
, slicer
, numba
, matplotlib
, nose
, lime
, cloudpickle
, ipython
, packaging
, pillow
, requests
, regex
, importlib-metadata
, huggingface-hub
, symlinkJoin
}:
let
# https://github.com/invoke-ai/InvokeAI/blob/34f8117241dc961e78929bda30ce3b4f19e707cf/docs/installation/060_INSTALL_PATCHMATCH.md
opencv4Fixed = symlinkJoin {
name = "opencv4Fixed";
paths = [ opencv4 ];
postBuild = ''
cp -r $out/lib/pkgconfig/opencv4.pc $out/lib/pkgconfig/opencv.pc
'';
};
libpatchmatch = stdenv.mkDerivation {
name = "libpatchmatch";
sourceRoot = ["source/patchmatch"];
nativeBuildInputs = [
pkg-config
opencv4Fixed
];
src = fetchzip {
url = "https://github.com/invoke-ai/PyPatchMatch/archive/129863937a8ab37f6bbcec327c994c0f932abdbc.zip";
sha256 = "sha256-kHYih9fjhtYfyNYzW4kwzm62N+GaOQQOOlSkO4PH3lw=";
};
installPhase = ''
mkdir -p $out/lib
cp libpatchmatch.so $out/lib/
'';
};
in buildPythonPackage {
pname = "pypatchmatch";
version = "129863937a8ab37f6bbcec327c994c0f932abdbc";
disabled = isPy27;
src = fetchzip {
url = "https://github.com/invoke-ai/PyPatchMatch/archive/129863937a8ab37f6bbcec327c994c0f932abdbc.zip";
sha256 = "sha256-kHYih9fjhtYfyNYzW4kwzm62N+GaOQQOOlSkO4PH3lw=";
};
propagatedBuildInputs = [
setuptools
numpy
pillow
];
doCheck = false;
postInstall = ''
cp ${libpatchmatch}/lib/libpatchmatch.so $out/lib/*/site-packages/patchmatch/
'';
meta = {
description = "This library implements the PatchMatch based inpainting algorithm.";
homepage = "https://github.com/invoke-ai/PyPatchMatch";
};
}

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@ -0,0 +1,20 @@
# WARNING: This file was automatically generated. You should avoid editing it.
# If you run pynixify again, the file will be either overwritten or
# deleted, and you will lose the changes you made to it.
{ buildPythonPackage, fetchPypi, lib }:
buildPythonPackage rec {
pname = "pyreadline3";
version = "3.4.1";
src = fetchPypi {
inherit pname version;
sha256 = "1bkv3zrfzmhbsd38dslsydi0arnc50gzrkhp76vk5fiii9xiygbg";
};
# TODO FIXME
doCheck = false;
meta = with lib; { };
}

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@ -0,0 +1,73 @@
{ lib
, stdenv
, aiohttp
, buildPythonPackage
, eventlet
, fetchFromGitHub
, iana-etc
, libredirect
, mock
, pytestCheckHook
, pythonOlder
, requests
, tornado
, websocket-client
}:
buildPythonPackage rec {
pname = "python-engineio";
version = "4.7.1";
format = "setuptools";
disabled = pythonOlder "3.6";
src = fetchFromGitHub {
owner = "miguelgrinberg";
repo = "python-engineio";
rev = "refs/tags/v${version}";
hash = "sha256-jHXpPnrQlIpmQ2sY4y6AUx/6W8Pf+683s4NmmlwZO58=";
};
nativeCheckInputs = [
aiohttp
eventlet
mock
requests
tornado
websocket-client
pytestCheckHook
];
doCheck = !stdenv.isDarwin;
preCheck = lib.optionalString stdenv.isLinux ''
echo "nameserver 127.0.0.1" > resolv.conf
export NIX_REDIRECTS=/etc/protocols=${iana-etc}/etc/protocols:/etc/resolv.conf=$(realpath resolv.conf) \
LD_PRELOAD=${libredirect}/lib/libredirect.so
'';
postCheck = ''
unset NIX_REDIRECTS LD_PRELOAD
'';
# somehow effective log level does not change?
disabledTests = [
"test_logger"
];
pythonImportsCheck = [
"engineio"
];
meta = with lib; {
description = "Python based Engine.IO client and server";
longDescription = ''
Engine.IO is a lightweight transport protocol that enables real-time
bidirectional event-based communication between clients and a server.
'';
homepage = "https://github.com/miguelgrinberg/python-engineio/";
changelog = "https://github.com/miguelgrinberg/python-engineio/blob/v${version}/CHANGES.md";
license = with licenses; [ mit ];
maintainers = with maintainers; [ mic92 ];
};
}

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@ -0,0 +1,71 @@
{ lib
, buildPythonPackage
, fetchFromGitHub
, pythonOlder
, fsspec
, lightning-utilities
, numpy
, packaging
, pyyaml
, tensorboardx
, torch
, torchmetrics
, tqdm
, traitlets
# tests
, psutil
, pytestCheckHook
}:
buildPythonPackage rec {
pname = "pytorch-lightning";
version = "1.9.3";
format = "pyproject";
src = fetchFromGitHub {
owner = "Lightning-AI";
repo = "pytorch-lightning";
rev = "refs/tags/${version}";
hash = "sha256-Xftm2gLNXnBUEPX0ULjSx8LpS5t4k+g64cxUgCAaz2w=";
};
preConfigure = ''
export PACKAGE_NAME=pytorch
'';
propagatedBuildInputs = [
fsspec
numpy
packaging
pyyaml
tensorboardx
torch
lightning-utilities
torchmetrics
tqdm
traitlets
]
++ fsspec.optional-dependencies.http;
nativeCheckInputs = [
psutil
pytestCheckHook
];
# Some packages are not in NixPkgs; other tests try to build distributed
# models, which doesn't work in the sandbox.
doCheck = false;
pythonImportsCheck = [
"pytorch_lightning"
];
meta = with lib; {
description = "Lightweight PyTorch wrapper for machine learning researchers";
homepage = "https://pytorch-lightning.readthedocs.io";
license = licenses.asl20;
maintainers = with maintainers; [ tbenst ];
};
}

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@ -0,0 +1,33 @@
{ lib
, buildPythonPackage
, fetchPypi
, setuptools
, numpy
, torch
}:
buildPythonPackage rec {
pname = "pytorch_seed";
version = "0.2.0";
format = "pyproject";
src = fetchPypi {
inherit pname version;
hash = "sha256-CW7dNAT4oA898rq0ECSUWAa68fZLBWeMgjc7eARY4aM=";
};
buildInputs = [
setuptools
];
propagatedBuildInputs = [
torch
numpy
];
pythonImportsCheck = [ "pytorch_seed" ];
meta = with lib; {
license = licenses.mit;
maintainers = with maintainers; [ ];
};
}

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@ -0,0 +1,27 @@
# WARNING: This file was automatically generated. You should avoid editing it.
# If you run pynixify again, the file will be either overwritten or
# deleted, and you will lose the changes you made to it.
{ buildPythonPackage, fetchPypi, lib, numpy, opencv-python-headless
, scikit-learn, typing-extensions }:
buildPythonPackage rec {
pname = "qudida";
version = "0.0.4";
src = fetchPypi {
inherit pname version;
sha256 = "1j4cl5dxg07p2dggv18z6rmvgps1zzxmlmiy0ah9l35bhwl8w6fv";
};
propagatedBuildInputs =
[ numpy scikit-learn typing-extensions opencv-python-headless ];
# TODO FIXME
doCheck = false;
meta = with lib; {
description = "QUick and DIrty Domain Adaptation";
homepage = "https://github.com/arsenyinfo/qudida";
};
}

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@ -0,0 +1,40 @@
# WARNING: This file was automatically generated. You should avoid editing it.
# If you run pynixify again, the file will be either overwritten or
# deleted, and you will lose the changes you made to it.
{ basicsr, buildPythonPackage, cython, facexlib, fetchPypi, gfpgan, lib, numpy
, opencv-python, pillow, torch, torchvision, tqdm }:
buildPythonPackage rec {
pname = "realesrgan";
version = "0.3.0";
src = fetchPypi {
inherit pname version;
sha256 = "0zpcri2pf33jmy64zvl2rj08zc6zrh1gb4bfc1qp0i4zmfbdldhd";
};
patches = [ ./root_dir.patch ];
buildInputs = [ cython numpy ];
propagatedBuildInputs = [
basicsr
facexlib
gfpgan
numpy
opencv-python
pillow
torch
torchvision
tqdm
];
# TODO FIXME
doCheck = false;
meta = with lib; {
description =
"Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration";
homepage = "https://github.com/xinntao/Real-ESRGAN";
};
}

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@ -0,0 +1,13 @@
diff --git a/realesrgan/utils.py b/realesrgan/utils.py
index 67e5232..3d36793 100644
--- a/realesrgan/utils.py
+++ b/realesrgan/utils.py
@@ -8,7 +8,7 @@ import torch
from basicsr.utils.download_util import load_file_from_url
from torch.nn import functional as F
-ROOT_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
+ROOT_DIR = f'{os.getcwd()}/src/realesrgan'
class RealESRGANer():

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@ -0,0 +1,23 @@
# WARNING: This file was automatically generated. You should avoid editing it.
# If you run pynixify again, the file will be either overwritten or
# deleted, and you will lose the changes you made to it.
{ buildPythonPackage, fetchPypi, lib }:
buildPythonPackage rec {
pname = "resize-right";
version = "0.0.2";
src = fetchPypi {
inherit pname version;
sha256 = "087mkbjry4gv20v8kf4alncap4rp2qsrh169gizvf4j0rrr5phvx";
};
# TODO FIXME
doCheck = false;
meta = with lib; {
description = "Resize Right";
homepage = "https://github.com/assafshocher/ResizeRight";
};
}

27
packages/rich/default.nix Normal file
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@ -0,0 +1,27 @@
{ lib
, buildPythonPackage
, fetchPypi
, poetry-core
}:
buildPythonPackage rec {
pname = "rich";
version = "13.7.0";
format = "pyproject";
src = fetchPypi {
inherit pname version;
sha256 = "sha256-XLUSO1z57nBYQkQkaBbpEUIn4LmK2Rdu7eatVL9UA/o=";
};
propagatedBuildInputs = [ poetry-core ];
doCheck = false;
meta = with lib; {
description = "Rich is a Python library for rich text and beautiful formatting in the terminal.";
homepage = "https://github.com/Textualize/rich";
maintainers = with maintainers; [ ];
};
}

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@ -0,0 +1,31 @@
{ lib
, buildPythonPackage
, fetchFromGitHub
, six
}:
buildPythonPackage rec {
pname = "rouge";
version = "1.0.1";
format = "setuptools";
src = fetchFromGitHub {
owner = "pltrdy";
repo = "rouge";
rev = version;
hash = "sha256-Xxq0N3mwy8+O8PrHNia9RovHS74+029Z+yhT7kdkLbk=";
};
pythonImportsCheck = [ "rouge" ];
propagatedBuildInputs = [ six ];
doCheck = false;
meta = with lib; {
description = "A full Python Implementation of the ROUGE Metric (not a wrapper)";
homepage = "https://github.com/pltrdy/rouge";
license = licenses.asl20;
maintainers = with maintainers; [ ];
};
}

31
packages/rwkv/default.nix Normal file
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@ -0,0 +1,31 @@
{ lib
, buildPythonPackage
, fetchPypi
, setuptools
, tokenizers
}:
buildPythonPackage rec {
pname = "rwkv";
version = "0.7.4";
format = "pyproject";
src = fetchPypi {
inherit pname version;
hash = "sha256-35hoK+o0xE+Pcc3V7G/+c8rOpQL1Xwj3JbAU3oIHM+Y=";
};
propagatedBuildInputs = [
setuptools
tokenizers
];
pythonImportsCheck = [ "rwkv" ];
meta = with lib; {
description = "The RWKV Language Model";
homepage = "https://github.com/BlinkDL/ChatRWKV";
license = licenses.asl20;
maintainers = with maintainers; [ jpetrucciani ];
};
}

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@ -0,0 +1,78 @@
{ lib
, fetchFromGitHub
, runCommand
, rustPlatform
, cargo
, rustc
, buildPythonPackage
, setuptools
, setuptools-rust
, wheel
, black
, click
, huggingface-hub
, isort
, jax
, numpy
, pytest
, pytest-benchmark
, torch
}:
let
pname = "safetensors";
version = "0.3.3";
src = fetchFromGitHub {
repo = pname;
owner = "huggingface";
rev = "v${version}";
hash = "sha256-U+indMoLFN6vMZkJTWFG08lsdXuK5gOfgaHmUVl6DPk=";
};
in
buildPythonPackage rec {
inherit pname version src;
format = "pyproject";
postPatch = "cd bindings/python";
cargoDeps = rustPlatform.fetchCargoTarball {
inherit src;
postPatch = "cd bindings/python";
name = "${pname}-${version}";
hash = "sha256-qiJtiPpNs7wycOyzef34OgXxUGMaKZIXEdqomxtmUD0=";
};
nativeBuildInputs = [
setuptools
setuptools-rust
wheel
rustPlatform.cargoSetupHook
cargo
rustc
];
propagatedBuildInputs = [
black
click
# flake
# flax
# h
huggingface-hub
isort
jax
numpy
pytest
pytest-benchmark
setuptools-rust
torch
];
pythonImportsCheck = [ "safetensors" ];
meta = with lib; {
description = "Fast and Safe Tensor serialization";
homepage = "https://pypi.org/project/safetensors/";
license = with licenses; [ ];
maintainers = with maintainers; [ ];
};
}

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@ -0,0 +1,88 @@
{ lib
, stdenv
, buildPythonPackage
, fetchFromGitHub
, fetchpatch
, aiofiles
, anyio
, contextlib2
, itsdangerous
, jinja2
, python-multipart
, pyyaml
, requests
, aiosqlite
, pytestCheckHook
, pythonOlder
, trio
, typing-extensions
}:
buildPythonPackage rec {
pname = "starlette";
version = "0.20.4";
format = "setuptools";
disabled = pythonOlder "3.6";
src = fetchFromGitHub {
owner = "encode";
repo = pname;
rev = "refs/tags/${version}";
hash = "sha256-vP2TJPn9lRGnLGkO8lUmnsoT6rSnhuWDD3WqNk76SM0=";
};
patches = [
(fetchpatch {
url = "https://github.com/encode/starlette/commit/ab70211f0e1fb7390668bf4891eeceda8d9723a0.diff";
excludes = [ "requirements.txt" ]; # conflicts
hash = "sha256-UHf4c4YUWp/1I1vD8J0hMewdlfkmluA+FyGf9ZsSv3Y=";
})
];
postPatch = ''
# remove coverage arguments to pytest
sed -i '/--cov/d' setup.cfg
'';
propagatedBuildInputs = [
aiofiles
anyio
itsdangerous
jinja2
python-multipart
pyyaml
requests
] ++ lib.optionals (pythonOlder "3.8") [
typing-extensions
] ++ lib.optionals (pythonOlder "3.7") [
contextlib2
];
doCheck = false;
checkInputs = [
aiosqlite
pytestCheckHook
trio
typing-extensions
];
disabledTests = [
# asserts fail due to inclusion of br in Accept-Encoding
"test_websocket_headers"
"test_request_headers"
];
pythonImportsCheck = [
"starlette"
];
meta = with lib; {
homepage = "https://www.starlette.io/";
description = "The little ASGI framework that shines";
license = licenses.bsd3;
maintainers = with maintainers; [ wd15 ];
};
}

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@ -0,0 +1,26 @@
# WARNING: This file was automatically generated. You should avoid editing it.
# If you run pynixify again, the file will be either overwritten or
# deleted, and you will lose the changes you made to it.
{ buildPythonPackage, fetchPypi, lib, numpy, omegaconf, pytorch-lightning, torch
, torchvision, tqdm }:
buildPythonPackage rec {
pname = "taming-transformers-rom1504";
version = "0.0.6";
src = fetchPypi {
inherit pname version;
sha256 = "0cicin81lr1py2wnrw0amnpkdcksk3h7csgf6r1fxk4a230mzzkk";
};
propagatedBuildInputs =
[ torch torchvision numpy tqdm omegaconf pytorch-lightning ];
# TODO FIXME
doCheck = false;
meta = with lib; {
description = "Taming Transformers for High-Resolution Image Synthesis";
};
}

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@ -0,0 +1,17 @@
{ buildPythonPackage, fetchPypi, lib, torch, numpy, pyre-extensions, pythonRelaxDepsHook, which }:
buildPythonPackage rec {
pname = "tomesd";
version = "0.1.3";
src = fetchPypi {
inherit pname version;
sha256 = "sha256-Fbui6VL0ZDyDVZUeiS/akY3cy9/yI43DaNQr0Hj87ck=";
};
nativeBuildInputs = [ pythonRelaxDepsHook which ];
# TODO FIXME
doCheck = false;
meta = with lib; { };
}

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@ -0,0 +1,35 @@
# WARNING: This file was automatically generated. You should avoid editing it.
# If you run pynixify again, the file will be either overwritten or
# deleted, and you will lose the changes you made to it.
{ buildPythonPackage, fetchPypi, lib, numpy, pillow, scipy, torch, torchvision, tqdm }:
buildPythonPackage rec {
pname = "torch-fidelity";
version = "0.3.0";
src = fetchPypi {
inherit version;
pname = "torch_fidelity";
sha256 = "0rib94c1qkhfcf0ag42xj1ydqjz7w4kwn91z9z65k5wik3dk6gix";
};
propagatedBuildInputs = [
numpy
pillow
scipy
torch
torchvision
tqdm
];
postUnpack = ''
#source distribution of torch-fidelity doesn't include this file, while it's used by setup.py
cp ${./requirements.txt} torch_fidelity-${version}/requirements.txt
'';
# TODO FIXME
doCheck = false;
meta = with lib; { };
}

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@ -0,0 +1,6 @@
numpy
Pillow
scipy
torch
torchvision
tqdm

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@ -0,0 +1,39 @@
{ lib
, buildPythonPackage
, fetchPypi
, poetry-core
, sentencepiece
, torch
, transformers
}:
buildPythonPackage rec {
pname = "torch-grammar";
version = "0.3.3";
pyproject = true;
src = fetchPypi {
pname = "torch_grammar";
inherit version;
hash = "sha256-bVmv/OjLk3r20NvpYFr8r6IoOzJwq2DNMKRFVHm7dTA=";
};
nativeBuildInputs = [
poetry-core
];
propagatedBuildInputs = [
sentencepiece
torch
transformers
];
pythonImportsCheck = [ "torch_grammar" ];
meta = with lib; {
description = "Restrict LLM generations to a context-free grammar";
homepage = "https://pypi.org/project/torch-grammar/";
license = licenses.mit;
maintainers = with maintainers; [ ];
};
}

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@ -0,0 +1,25 @@
# WARNING: This file was automatically generated. You should avoid editing it.
# If you run pynixify again, the file will be either overwritten or
# deleted, and you will lose the changes you made to it.
{ buildPythonPackage, fetchPypi, lib, scipy, torch }:
buildPythonPackage rec {
pname = "torchdiffeq";
version = "0.2.3";
src = fetchPypi {
inherit pname version;
sha256 = "06m37q0x9igda4gmirjv0f3hyas747njpq02fz1c02h9p4sg8xgy";
};
propagatedBuildInputs = [ torch scipy ];
# TODO FIXME
doCheck = false;
meta = with lib; {
description = "ODE solvers and adjoint sensitivity analysis in PyTorch.";
homepage = "https://github.com/rtqichen/torchdiffeq";
};
}

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@ -0,0 +1,25 @@
{ lib
, buildPythonPackage
, fetchPypi
, poetry-core
}:
buildPythonPackage rec {
pname = "ultralytics";
version = "8.0.211";
src = fetchPypi {
inherit pname version;
sha256 = "sha256-QZio7nuNFRYBwa+wUWM7uQ056M3GsRHGcqnrysfvN6E=";
};
propagatedBuildInputs = [ poetry-core ];
doCheck = false;
meta = with lib; {
description = "";
homepage = "https://github.com/ultralytics/ultralytics";
maintainers = with maintainers; [ ];
};
}

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@ -0,0 +1,33 @@
{ lib
, buildPythonPackage
, fetchPypi
, setuptools
, torch
, einops
}:
buildPythonPackage rec {
pname = "vector_quantize_pytorch";
version = "1.11.7";
format = "pyproject";
src = fetchPypi {
inherit pname version;
hash = "sha256-kMKeWhnTXbI+ROPJ0LHVh7TQjonhRzXUQm+U8TgghSM=";
};
buildInputs = [
setuptools
];
propagatedBuildInputs = [
torch
einops
];
pythonImportsCheck = [ "vector_quantize_pytorch" ];
meta = with lib; {
license = licenses.mit;
maintainers = with maintainers; [ ];
};
}

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@ -0,0 +1,177 @@
{ lib
, buildPythonPackage
, pythonOlder
, fetchFromGitHub
, which
# runtime dependencies
, numpy
, torch
# check dependencies
, pytestCheckHook
, pytest-cov
# , pytest-mpi
, pytest-timeout
# , pytorch-image-models
, hydra-core
, fairscale
, scipy
, cmake
, openai-triton
, networkx
#, apex
, einops
, transformers
, timm
#, flash-attn
, cudaPackages
, stable-pkgs
}:
let
inherit (cudaPackages) cudaFlags cudnn;
# Some packages are not available on all platforms
nccl = cudaPackages.nccl or null;
setBool = v: if v then "1" else "0";
# https://github.com/pytorch/pytorch/blob/v2.0.1/torch/utils/cpp_extension.py#L1744
supportedTorchCudaCapabilities =
let
real = ["3.5" "3.7" "5.0" "5.2" "5.3" "6.0" "6.1" "6.2" "7.0" "7.2" "7.5" "8.0" "8.6" "8.7" "8.9" "9.0"];
ptx = lists.map (x: "${x}+PTX") real;
in
real ++ ptx;
# NOTE: The lists.subtractLists function is perhaps a bit unintuitive. It subtracts the elements
# of the first list *from* the second list. That means:
# lists.subtractLists a b = b - a
# For CUDA
supportedCudaCapabilities = lists.intersectLists cudaFlags.cudaCapabilities supportedTorchCudaCapabilities;
unsupportedCudaCapabilities = lists.subtractLists supportedCudaCapabilities cudaFlags.cudaCapabilities;
# Use trivial.warnIf to print a warning if any unsupported GPU targets are specified.
gpuArchWarner = supported: unsupported:
trivial.throwIf (supported == [ ])
(
"No supported GPU targets specified. Requested GPU targets: "
+ strings.concatStringsSep ", " unsupported
)
supported;
# Create the gpuTargetString.
gpuTargetString = strings.concatStringsSep ";" (
if gpuTargets != [ ] then
# If gpuTargets is specified, it always takes priority.
gpuTargets
else if rocmSupport then
rocmPackages.clr.gpuTargets
else
gpuArchWarner supportedCudaCapabilities unsupportedCudaCapabilities
);
version = "0.0.22.post7";
in
buildPythonPackage {
pname = "xformers";
inherit version;
format = "setuptools";
disabled = pythonOlder "3.7";
src = fetchFromGitHub {
owner = "facebookresearch";
repo = "xformers";
rev = "refs/tags/v${version}";
hash = "sha256-7lZi3+2dVDZJFYCUlxsyDU8t9qdnl+b2ERRXKA6Zp7U=";
fetchSubmodules = true;
};
preConfigure = ''
export TORCH_CUDA_ARCH_LIST="${gpuTargetString}"
export CUDNN_INCLUDE_DIR=${cudnn.dev}/include
export CUDNN_LIB_DIR=${cudnn.lib}/lib
export CUPTI_INCLUDE_DIR=${cudaPackages.cuda_cupti.dev}/include
export CUPTI_LIBRARY_DIR=${cudaPackages.cuda_cupti.lib}/lib
export CUDA_PATH=${stable-packages.cudatoolkit}
export EXTRA_LD_FLAGS="-L${stable-pkgs.linuxPackages.nvidia_x11_production}/lib"
'';
preBuild = ''
cat << EOF > ./xformers/version.py
# noqa: C801
__version__ = "${version}"
EOF
'';
nativeBuildInputs = [
which
] ++ (with cudaPackages; [
autoAddOpenGLRunpathHook
cuda_nvcc
]);
propagatedBuildInputs = [
numpy
torch
];
buildInputs = with cudaPackages; [
cuda_cccl.dev # <thrust/*>
cuda_cudart # cuda_runtime.h and libraries
cuda_cupti.dev # For kineto
cuda_cupti.lib # For kineto
cuda_nvcc.dev # crt/host_config.h; even though we include this in nativeBuildinputs, it's needed here too
cuda_nvml_dev.dev # <nvml.h>
cuda_nvrtc.dev
cuda_nvrtc.lib
cuda_nvtx.dev
cuda_nvtx.lib # -llibNVToolsExt
cudnn.dev
cudnn.lib
libcublas.dev
libcublas.lib
libcufft.dev
libcufft.lib
libcurand.dev
libcurand.lib
libcusolver.dev
libcusolver.lib
libcusparse.dev
libcusparse.lib
effectiveMagma
numactl
] ++ [stable-pkgs.linuxPackages.nvidia_x11_production gcc stable-packages.cudatoolkit];
pythonImportsCheck = [ "xformers" ];
dontUseCmakeConfigure = true;
# see commented out missing packages
doCheck = false;
nativeCheckInputs = [
pytestCheckHook
pytest-cov
pytest-timeout
hydra-core
fairscale
scipy
cmake
networkx
openai-triton
# apex
einops
transformers
timm
# flash-attn
];
meta = with lib; {
description = "XFormers: A collection of composable Transformer building blocks";
homepage = "https://github.com/facebookresearch/xformers";
changelog = "https://github.com/facebookresearch/xformers/blob/${version}/CHANGELOG.md";
license = licenses.bsd3;
maintainers = with maintainers; [ happysalada ];
};
}

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@ -0,0 +1,27 @@
{ lib
, buildPythonPackage
, fetchPypi
, setuptools
, chardet
}:
buildPythonPackage rec {
pname = "ZipUnicode";
version = "1.1.1";
format = "pyproject";
src = fetchPypi {
inherit pname version;
sha256 = "sha256-2MbEWa7LnDENKhgzid664RULiAUSkW+5kBIDaOXTN/M=";
};
propagatedBuildInputs = [ setuptools chardet ];
doCheck = false;
meta = with lib; {
description = "Make extracted unreadable filename problem gone away.";
homepage = "https://github.com/Dragon2fly/ZipUnicode";
maintainers = with maintainers; [ ];
};
}

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@ -0,0 +1,35 @@
diff --git a/modules/shared_options.py b/modules/shared_options.py
index 00b273fa..9dd8e2ce 100644
--- a/modules/shared_options.py
+++ b/modules/shared_options.py
@@ -4,6 +4,8 @@ from modules import localization, ui_components, shared_items, shared, interroga
from modules.paths_internal import models_path, script_path, data_path, sd_configs_path, sd_default_config, sd_model_file, default_sd_model_file, extensions_dir, extensions_builtin_dir # noqa: F401
from modules.shared_cmd_options import cmd_opts
from modules.options import options_section, OptionInfo, OptionHTML
+from modules.paths_internal import data_path
+import os
options_templates = {}
hide_dirs = shared.hide_dirs
@@ -66,14 +68,14 @@ options_templates.update(options_section(('saving-images', "Saving images/grids"
options_templates.update(options_section(('saving-paths', "Paths for saving"), {
"outdir_samples": OptionInfo("", "Output directory for images; if empty, defaults to three directories below", component_args=hide_dirs),
- "outdir_txt2img_samples": OptionInfo("outputs/txt2img-images", 'Output directory for txt2img images', component_args=hide_dirs),
- "outdir_img2img_samples": OptionInfo("outputs/img2img-images", 'Output directory for img2img images', component_args=hide_dirs),
- "outdir_extras_samples": OptionInfo("outputs/extras-images", 'Output directory for images from extras tab', component_args=hide_dirs),
+ "outdir_txt2img_samples": OptionInfo(os.path.join(data_path,"outputs/txt2img-images"), 'Output directory for txt2img images', component_args=hide_dirs),
+ "outdir_img2img_samples": OptionInfo(os.path.join(data_path,"outputs/img2img-images"), 'Output directory for img2img images', component_args=hide_dirs),
+ "outdir_extras_samples": OptionInfo(os.path.join(data_path,"outputs/extras-images"), 'Output directory for images from extras tab', component_args=hide_dirs),
"outdir_grids": OptionInfo("", "Output directory for grids; if empty, defaults to two directories below", component_args=hide_dirs),
- "outdir_txt2img_grids": OptionInfo("outputs/txt2img-grids", 'Output directory for txt2img grids', component_args=hide_dirs),
- "outdir_img2img_grids": OptionInfo("outputs/img2img-grids", 'Output directory for img2img grids', component_args=hide_dirs),
- "outdir_save": OptionInfo("log/images", "Directory for saving images using the Save button", component_args=hide_dirs),
- "outdir_init_images": OptionInfo("outputs/init-images", "Directory for saving init images when using img2img", component_args=hide_dirs),
+ "outdir_txt2img_grids": OptionInfo(os.path.join(data_path,"outputs/txt2img-grids"), 'Output directory for txt2img grids', component_args=hide_dirs),
+ "outdir_img2img_grids": OptionInfo(os.path.join(data_path,"outputs/img2img-grids"), 'Output directory for img2img grids', component_args=hide_dirs),
+ "outdir_save": OptionInfo(os.path.join(data_path,"log/images"), "Directory for saving images using the Save button", component_args=hide_dirs),
+ "outdir_init_images": OptionInfo(os.path.join(data_path,"outputs/init-images"), "Directory for saving init images when using img2img", component_args=hide_dirs),
}))
options_templates.update(options_section(('saving-to-dirs', "Saving to a directory"), {

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@ -0,0 +1,112 @@
{ config, inputs, lib, withSystem, ... }:
let
l = lib // config.flake.lib;
inherit (config.flake) overlays;
in
{
perSystem = { config, pkgs, system, ... }:
let
commonOverlays = [
#need pillow < 10.0.0 for scripts like x,y,z plot to work
#cant i do like only for this for invoke other version?
(
final: prev: {
pythonPackagesExtensions = prev.pythonPackagesExtensions ++ [
(
python-final: python-prev: {
pillow = python-final.callPackage ../../packages/pillow { };
xformers = python-final.callPackage ../../packages/xformers { inherit stable-pkgs; };
}
)
];
}
)
overlays.python-fixPackages
(l.overlays.callManyPackages [
../../packages/analytics-python
../../packages/basicsr
../../packages/blendmodes
../../packages/blip
../../packages/codeformer
../../packages/deforum
../../packages/facexlib
../../packages/gfpgan
../../packages/gradio
../../packages/gradio-client
../../packages/k_diffusion
../../packages/lpips
../../packages/mediapipe
../../packages/openclip
../../packages/pillow
../../packages/pyfunctional
../../packages/pytorch-lightning
../../packages/realesrgan
../../packages/taming-transformers-rom1504
../../packages/tomesd
#../../packages/torch-fidelity
#../../packages/torch-grammar
../../packages/ultralytics
../../packages/zipunicode
])
(final: prev: lib.mapAttrs
(_: pkg: pkg.overrideAttrs (old: {
nativeBuildInputs = old.nativeBuildInputs ++ [ final.pythonRelaxDepsHook ];
pythonRemoveDeps = [ "opencv-python-headless" "opencv-python" "tb-nightly" "clip" ];
}
))
{
inherit (prev)
gfpgan
basicsr
facexlib
realesrgan
;
}
)
];
python3Variants = {
nvidia = l.overlays.applyOverlays pkgs.python3Packages (commonOverlays ++ [
overlays.python-torchCuda
]);
};
stable-pkgs = import inputs.nixpkgs-stable {
allowUnfree = true;
cudaSupport = true;
inherit system;
};
src = inputs.a1111-src;
mkAutomatic1111Variant = args: pkgs.callPackage ./package.nix ({
inherit src; sd-src = inputs.sd-src; sgm-src = inputs.sgm-src; inherit stable-pkgs pkgs;
} // args);
in
{
packages = {
a1111-nvidia = mkAutomatic1111Variant {
python3Packages = python3Variants.nvidia;
};
};
};
flake.nixosModules =
let
packageModule = pkgAttrName: { pkgs, ... }: {
services.a1111.package = withSystem pkgs.system (
{ config, ... }: lib.mkOptionDefault config.packages.${pkgAttrName}
);
};
in
{
a1111 = ./nixos;
a1111-nvidia = {
imports = [
config.flake.nixosModules.a1111
(packageModule "a1111-nvidia")
];
};
};
}

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@ -0,0 +1,131 @@
{ config, lib, ... }:
let
inherit (lib)
mkIf mkOption mkEnableOption mkRenamedOptionModule types
escapeShellArgs flatten getExe mapAttrsToList
isBool isFloat isInt isList isString
floatToString optionalString
;
cfg = config.services.a1111;
in
{
imports = map ({ old, new ? old }: mkRenamedOptionModule [ "services" "a1111" old ] [ "services" "a1111" "settings" new ]) [
{ old = "host"; }
{ old = "port"; }
{ old = "dataDir"; new = "root"; }
{ old = "precision"; }
];
options.services.a1111 = {
enable = mkEnableOption "Automatic1111 UI for Stable Diffusion";
package = mkOption {
description = "Which Automatic1111 package to use.";
type = types.package;
};
user = mkOption {
description = "Which user to run A1111 as.";
default = "a1111";
type = types.str;
};
group = mkOption {
description = "Which group to run A1111 as.";
default = "a1111";
type = types.str;
};
settings = mkOption {
description = "Structured command line arguments.";
default = { };
type = types.submodule {
freeformType = with types; let
atom = nullOr (oneOf [
bool
str
int
float
]);
in attrsOf (either atom (listOf atom));
options = {
#listen = mkOption {
# description = "Launch gradio with 0.0.0.0 as server name, allowing to respond to network requests.";
# default = false;
# type = types.bool;
#};
port = mkOption {
description = "Launch gradio with given server port, you need root/admin rights for ports < 1024; defaults to 7860 if available.";
default = 7860;
type = types.port;
};
data-dir = mkOption {
description = "Where to store A1111's state.";
default = "/var/lib/a1111";
type = types.path;
};
ckpt-dir = mkOption {
description = "Path to A1111's SD models.";
default = "/var/lib/models/ckpt";
type = types.path;
};
};
};
};
extraArgs = mkOption {
description = "Additional raw command line arguments.";
default = [];
type = with types; listOf str;
};
};
config = let
cliArgs = (flatten (mapAttrsToList (n: v:
if v == null then []
#else if isBool v then [ "--${optionalString (!v) "no-"}${n}" ]
else if isInt v then [ "--${n}" "${toString v}" ]
else if isFloat v then [ "--${n}" "${floatToString v}" ]
else if isString v then ["--${n}" v ]
else if isList v then [ "--${n}" (toString v) ]
else throw "Unhandled type for setting \"${n}\""
) cfg.settings)) ++ cfg.extraArgs;
in mkIf cfg.enable {
users.users = mkIf (cfg.user == "a1111") {
a1111 = {
isSystemUser = true;
inherit (cfg) group;
};
};
users.groups = mkIf (cfg.group == "a1111") {
a1111 = {};
};
systemd.services.a1111 = {
after = [ "network.target" ];
wantedBy = [ "multi-user.target" ];
environment = {
HOME = "${cfg.settings.data-dir}/.home";
COMMANDLINE_ARGS = escapeShellArgs cliArgs;
NIXIFIED_AI_NONINTERACTIVE = "1";
};
serviceConfig = {
User = cfg.user;
Group = cfg.group;
ExecStart = "${getExe cfg.package}";
PrivateTmp = true;
};
};
systemd.tmpfiles.rules = [
"d '${cfg.settings.data-dir}/' 0755 ${cfg.user} ${cfg.group} - -"
"d '${cfg.settings.data-dir}/configs' 0755 ${cfg.user} ${cfg.group} - -"
"d '${cfg.settings.data-dir}/.home' 0750 ${cfg.user} ${cfg.group} - -"
];
};
}

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@ -0,0 +1,148 @@
{ python3Packages
, sd-src
, sgm-src
, # misc
lib
, src
, stable-pkgs
, pkgs
# extra deps
}:
python3Packages.buildPythonPackage {
pname = "Automatic1111";
format = "other";
version = "v1.6.0";
inherit src;
propagatedBuildInputs = with python3Packages; [
aiofiles
analytics-python
altair
blendmodes
codeformer
einops
facexlib
gfpgan
gradio
gradio-client
inflection
k-diffusion
kornia
lark
openclip
omegaconf
piexif
pytorch-lightning
realesrgan
safetensors
semantic-version
taming-transformers-rom1504
timm
tomesd
torchWithCuda
transformers
xformers
#For Extensions -- dont know if e.g you dont install image browser then maybe lack of dep for civitai browser
pyfunctional #infinite image browser
dill #infinite image browser
python-dotenv #infinite image browser
fastapi #infinite image browser
uvicorn #infinite image browser
tabulate #infinite image browser
#infinite image browser sends dleted images to nirvana
send2trash #civitai browser+
zipunicode #civitai browser+
fake-useragent #civitai browser+
rich #adetailer
ultralytics #adetailer
py-cpuinfo #adetailer
mediapipe #adeteailer
av #animatediff to create webm and other fileformats
numexpr #deforum
deforum #deforum
];
patches = [ ./_outputpaths.patch ];
nativeBuildInputs = [ pkgs.cudatoolkit ];
buildPhase =
''
runHook preBuild
mkdir -p dist
cp -r . $out
chmod -R +w $out
cd $out
sed -i '28,43d' launch.py
substituteInPlace ./modules/paths_internal.py \
--replace 'os.path.join(script_path, "config_states")' \
'os.path.join(data_path, "config_states")'
substituteInPlace ./modules/shared_gradio_themes.py \
--replace script_path data_path
#make launch.py executable > shebang
mkdir -p $out/bin
cat <<-EOF > launch.py
$(echo "#!/usr/bin/python")
$(cat launch.py)
EOF
chmod +x launch.py
makeWrapper "$out/launch.py" $out/bin/launch-wrapped.py \
--run 'export COMMANDLINE_ARGS="''${COMMANDLINE_ARGS:-\
--data-dir $HOME/webui --skip-install --xformers \
--theme dark --ckpt-dir $HOME/webui/models/ckpt \
--embeddings-dir $HOME/webui/models/embeddings \
--medvram --no-half-vae}"' \
--set-default PYTHONPATH $PYTHONPATH \
--chdir $out --set-default CUDA_PATH ${pkgs.cudatoolkit}
rm -rf dist
runHook postBuild
'';
installPhase =
let
submodel = pkg: python3Packages.${pkg} + "/lib/python3.10/site-packages";
taming-transformers = submodel "taming-transformers-rom1504";
k_diffusion = submodel "k_diffusion";
codeformer = (submodel "codeformer") + "/codeformer";
blip = (submodel "blip") + "/blip";
in
''
runHook preInstall
rm -rf repositories/
mkdir repositories
pushd repositories
ln -s ${sd-src}/ stable-diffusion-stability-ai
ln -s ${sgm-src}/ generative-models
ln -s ${taming-transformers}/ taming-transformers
ln -s ${k_diffusion}/ k-diffusion
ln -s ${codeformer}/ CodeFormer
ln -s ${blip}/ BLIP
popd
runHook postInstall
'';
meta = {
description = "Fancy Web UI for Stable Diffusion";
homepage = "https://github.com/AUTOMATIC1111/stable-diffusion-webui";
mainProgram = "launch-wrapped.py";
};
#Tiled VAE supported without additional dependencies
#Infinit image browser couple of deps
#civit-ai browser + couple of deps
#animatediff --> needs deforum for frame interpolation
#deforum
#controlnet
}

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{ config, inputs, lib, withSystem, ... }:
let
l = lib // config.flake.lib;
inherit (config.flake) overlays;
in
{
perSystem = { config, pkgs, ... }: let
commonOverlays = [
overlays.python-fixPackages
(l.overlays.callManyPackages [
../../packages/audiolm-pytorch
../../packages/ema-pytorch
../../packages/local-attention
../../packages/pytorch-seed
../../packages/vector-quantize-pytorch
])
];
python3Variants = {
nvidia = l.overlays.applyOverlays pkgs.python3Packages (commonOverlays ++ [
overlays.python-torchCuda
]);
};
src = inputs.bark-gui-src;
mkbark-guiVariant = args: pkgs.callPackage ./package.nix ({ inherit src; } // args);
in {
packages = {
bark-gui-nvidia = mkbark-guiVariant {
python3Packages = python3Variants.nvidia;
};
};
};
flake.nixosModules = let
packageModule = pkgAttrName: { pkgs, ... }: {
services.bark-gui.package = withSystem pkgs.system (
{ config, ... }: lib.mkOptionDefault config.packages.${pkgAttrName}
);
};
in {
#bark-gui = ./nixos;
#invokeai-nvidia = {
# imports = [
# config.flake.nixosModules.invokeai
# (packageModule "bark-gui-nvidia")
# ];
#};
};
}

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{ python3Packages
, # misc
lib
, src
# extra deps
}:
python3Packages.buildPythonPackage {
pname = "bark-gui";
format = "setuptools";
version = "07.1";
inherit src;
propagatedBuildInputs = with python3Packages; [
audiolm-pytorch
boto3
ema-pytorch
encodec
funcy
gradio
local-attention
pytorch-seed
safetensors
scipy
torch
torchaudio
transformers
vector-quantize-pytorch
];
#nativeBuildInputs = with python3Packages; [ pythonRelaxDepsHook pip ];
nativeBuildInputs = with python3Packages; [ setuptools pip ];
makeWrapperArgs = [
'' --set-default PYTHONPATH=$PYTHONPATH ''
];
buildPhase = ''
mkdir -p dist
runHook preBuild
cp -r . $out
chmod -R +w $out
cd $out
chmod +x webui.py
#add shbang to webui.py
cat <<-EOF > webui.py
$(echo "#!/usr/bin/python")
$(cat webui.py)
EOF
mkdir -p $out/bin
ln -s webui-wrapped.py $out/bin/bark-gui
makeWrapper "$(pwd)/webui.py" "$out/bin/bark-gui" --set-default PYTHONPATH=$PYTHONPATH
chmod +x $out/bin/bark-gui
runHook postBuild
'';
meta = {
description = "A Gradio Web UI for an extended - easy to use - Bark Version.";
homepage = "https://github.com/C0untFloyd/bark-gui";
mainProgram = "bark-gui";
};
}

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{ config, inputs, lib, withSystem, ... }:
{
perSystem = { config, pkgs, system, ... }:
let
src = inputs.comfyui-src;
stable-pkgs = import inputs.nixpkgs-stable {
allowUnfree = true;
cudaSupport = true;
inherit system;
};
mkComfyUIVariant = args: pkgs.python310Packages.callPackage ./package.nix ({
inherit src;
} // args);
in
{
packages = {
comfyui-nvidia = mkComfyUIVariant { };
};
};
#flake.nixosModules =
/* let
packageModule = pkgAttrName: { pkgs, ... }: {
services.comfyui.package = withSystem pkgs.system (
{ config, ... }: lib.mkOptionDefault config.packages.${pkgAttrName}
);
};
in
{
comfyui = ./nixos;
comfyui-nvidia = {
imports = [
config.flake.nixosModules.a1111
(packageModule "comfyui-nvidia")
];
};
};*/
}

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{ config, lib, ... }:
let
inherit (lib)
mkIf mkOption mkEnableOption mkRenamedOptionModule types
escapeShellArgs flatten getExe mapAttrsToList
isBool isFloat isInt isList isString
floatToString optionalString
;
cfg = config.services.comfyui;
in
{
imports = map ({ old, new ? old }: mkRenamedOptionModule [ "services" "comfyui" old ] [ "services" "comfyui" "settings" new ]) [
{ old = "host"; }
{ old = "port"; }
{ old = "dataDir"; new = "root"; }
{ old = "precision"; }
];
options.services.a1111 = {
enable = mkEnableOption "Automatic1111 UI for Stable Diffusion";
package = mkOption {
description = "Which Automatic1111 package to use.";
type = types.package;
};
user = mkOption {
description = "Which user to run A1111 as.";
default = "a1111";
type = types.str;
};
group = mkOption {
description = "Which group to run A1111 as.";
default = "a1111";
type = types.str;
};
settings = mkOption {
description = "Structured command line arguments.";
default = { };
type = types.submodule {
freeformType = with types; let
atom = nullOr (oneOf [
bool
str
int
float
]);
in attrsOf (either atom (listOf atom));
options = {
#listen = mkOption {
# description = "Launch gradio with 0.0.0.0 as server name, allowing to respond to network requests.";
# default = false;
# type = types.bool;
#};
port = mkOption {
description = "Launch gradio with given server port, you need root/admin rights for ports < 1024; defaults to 7860 if available.";
default = 7860;
type = types.port;
};
data-dir = mkOption {
description = "Where to store A1111's state.";
default = "/var/lib/a1111";
type = types.path;
};
ckpt-dir = mkOption {
description = "Path to A1111's SD models.";
default = "/var/lib/models/ckpt";
type = types.path;
};
};
};
};
extraArgs = mkOption {
description = "Additional raw command line arguments.";
default = [];
type = with types; listOf str;
};
};
config = let
cliArgs = (flatten (mapAttrsToList (n: v:
if v == null then []
#else if isBool v then [ "--${optionalString (!v) "no-"}${n}" ]
else if isInt v then [ "--${n}" "${toString v}" ]
else if isFloat v then [ "--${n}" "${floatToString v}" ]
else if isString v then ["--${n}" v ]
else if isList v then [ "--${n}" (toString v) ]
else throw "Unhandled type for setting \"${n}\""
) cfg.settings)) ++ cfg.extraArgs;
in mkIf cfg.enable {
users.users = mkIf (cfg.user == "a1111") {
a1111 = {
isSystemUser = true;
inherit (cfg) group;
};
};
users.groups = mkIf (cfg.group == "a1111") {
a1111 = {};
};
systemd.services.a1111 = {
after = [ "network.target" ];
wantedBy = [ "multi-user.target" ];
environment = {
HOME = "${cfg.settings.data-dir}/.home";
COMMANDLINE_ARGS = escapeShellArgs cliArgs;
NIXIFIED_AI_NONINTERACTIVE = "1";
};
serviceConfig = {
User = cfg.user;
Group = cfg.group;
ExecStart = "${getExe cfg.package}";
PrivateTmp = true;
};
};
systemd.tmpfiles.rules = [
"d '${cfg.settings.data-dir}/' 0755 ${cfg.user} ${cfg.group} - -"
"d '${cfg.settings.data-dir}/configs' 0755 ${cfg.user} ${cfg.group} - -"
"d '${cfg.settings.data-dir}/.home' 0750 ${cfg.user} ${cfg.group} - -"
];
};
}

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