Skip to main content

Image generation based on diffusers

Project description

Introduction

artcraft provides image generation based on diffusers.

Features

  • Text2Image/Image2Image
  • Lora/Text Inversion/ControlNet support
  • Image Processors
  • Model Manager

Install

make sure your python>=3.9.

pip install artcraft

Launch WebUI

make sure you have installed artcraft successfully.

artcraft

you will see

Running on local URL:  http://127.0.0.1:7860

To create a public link, set `share=True` in `launch()`.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

artcraft-0.0.12-py2.py3-none-any.whl (80.9 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file artcraft-0.0.12-py2.py3-none-any.whl.

File metadata

  • Download URL: artcraft-0.0.12-py2.py3-none-any.whl
  • Upload date:
  • Size: 80.9 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.13

File hashes

Hashes for artcraft-0.0.12-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 e73c1bacb174a265a4a55c5bdd6b7cc04d4d50b803278b0274570685ca1005c2
MD5 82caa0358157d0776b8b844a5cf00584
BLAKE2b-256 5851026d46025448c313c2cde86c6d3c2b9c4b4a9a49a3a3a7723adc8fb144f4

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page