semvec/pypi-packages huggingface dataset:
itkwasm-transform 0.1.0
Common operations with and on spatial transformations.
Requires Python: >=3.8
Keywords: emscripten, itkwasm, wasi, webassembly

# itkwasm-transform

[![PyPI version](https://badge.fury.io/py/itkwasm-transform.svg)](https://badge.fury.io/py/itkwasm-transform)

Common operations with and on spatial transformations.

## Installation

```sh
pip install itkwasm-transform
```
itkwasm-transform-emscripten 0.1.0
Common operations with and on spatial transformations.
Requires Python: >=3.8
Keywords: emscripten, itkwasm, webassembly

# itkwasm-transform-emscripten

[![PyPI version](https://badge.fury.io/py/itkwasm-transform-emscripten.svg)](https://badge.fury.io/py/itkwasm-transform-emscripten)

Common operations with and on spatial transformations. Emscripten implementation.

This package provides the Emscripten WebAssembly implementation. It is usually not called directly. Please use the [`itkwasm-transform`](https://pypi.org/project/itkwasm-transform/) instead.


## Installation

```sh
import micropip
await micropip.install('itkwasm-transform-emscripten')
```

## Development

```sh
pip install hatch
hatch run download-pyodide
hatch run test
```
itkwasm-transform-wasi 0.1.0
Common operations with and on spatial transformations.
Requires Python: >=3.8
Keywords: itkwasm, wasi, webassembly

# itkwasm-transform-wasi

[![PyPI version](https://badge.fury.io/py/itkwasm-transform-wasi.svg)](https://badge.fury.io/py/itkwasm-transform-wasi)

Common operations with and on spatial transformations. WASI implementation.

This package provides the WASI WebAssembly implementation. It is usually not called directly. Please use [`itkwasm-transform`](https://pypi.org/project/itkwasm-transform/) instead.


## Installation

```sh
pip install itkwasm-transform-wasi
```

## Development

```sh
pip install pytest
pip install -e .
pytest

# or
pip install hatch
hatch run test
```
framepack 0.0.9
1-click video generator

## framepack

enter the user menu by (if no py command; use python/python3 instead)
```
py -m framepack
```

### packpack (aka framepack) - inside the code pack (option 2)

all-in-one approach
```
py index.py
```

### portablepack - extra tools inside the full pack (option 1)
- cuda128(+torch270) installer for 50 series gpu/card(s)
- installer.bat (online) and run.bat (offline)
- 1st time launch: installer.bat (pull the model to local storage)
- then run it entirely offline by: run.bat

### run it straight with gguf-connector (optional)

activate backend and frontend by (need ggc command; pip install gguf-connector)
```
ggc f2
```

### reference: [lllyasviel](https://github.com/lllyasviel/FramePack)
![screenshot](https://raw.githubusercontent.com/calcuis/gguf-pack/master/framepack.png)
yta-image 0.0.16
Youtube Autonomous Image Module.
Requires Python: ==3.9

# Youtube Autonomous Image Module

@deprecated module. This module has been refactored and now we have 'yta_image_base', 'yta_image_advanced' and more modules coming to make them more modular. This is the last commit.

The Image module.

This project needs:
- to_fill_this