discoart | 🪩 Create Disco Diffusion artworks in one line

by jina-ai Python Version: 0.12.1.dev5 License: Non-SPDX

X-Ray Key Features Code Snippets(1)Community Discussions Vulnerabilities Install Support

kandi X-RAY | discoart Summary

discoart is a Python library. discoart has no bugs, it has no vulnerabilities, it has build file available and it has medium support. However discoart has a Non-SPDX License. You can install using 'pip install discoart' or download it from GitHub, PyPI.

discoart is an elegant way of creating compelling disco diffusion[*] artworks for generative artists, ai enthusiasts and hard-core developers. discoart has a modern & professional api with a beautiful codebase, ensuring high usability and maintainability. it introduces handy features such as result recovery and persistence, grpc/http serving w/o tls, post-analysis, easing the integration to larger cross-modal or multi-modal applications. best-in-class: industry-level engineering, top-notch code quality, lean dependencies, small ram/vram footprint; important bug fixes, feature improvements vs. the original dd5.6. available to all: smooth install for self-hosting, google colab free tier, non-gui (ipython) environment, and cli! no brainfuck, no dependency hell,

Support

Quality

Security

License

Reuse

Support

discoart has a medium active ecosystem.

It has 3773 star(s) with 237 fork(s). There are 33 watchers for this library.

It had no major release in the last 12 months.

There are 25 open issues and 79 have been closed. On average issues are closed in 2 days. There are 7 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of discoart is 0.12.1.dev5

Quality

discoart has no bugs reported.

Security

discoart has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

discoart has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

discoart releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

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discoart Key Features

No Key Features are available at this moment for discoart.

discoart Examples and Code Snippets

Run it yourself!,Setting up Jina's DiscoArt

Kotlin

Lines of Code : 26

License : Permissive (MIT)

Copy

jtype: Flow
with:
  protocol: grpc
  monitoring: false
  cors: true
  port: 51001
  env:
    JINA_LOG_LEVEL: debug
    DISCOART_DISABLE_IPYTHON: 1
    DISCOART_DISABLE_RESULT_SUMMARY: 1
    DISCOART_OPTOUT_CLOUD_BACKUP: 1
executors:
  - name: discoar

Community Discussions

No Community Discussions are available at this moment for discoart.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install discoart

Python 3.7+ and CUDA-enabled PyTorch is required. This applies to both self-hosting, Google Colab, system integration, non-GUI environments.
Self-hosted Jupyter: to run a Jupyter Notebook on your own GPU machine, the easiest way is to use our prebuilt Docker image.
Use it from CLI: python -m discoart create and python -m discoart config are CLI commands.
Use it as a service: python -m discoart serve allows one to run it as gRPC/HTTP/websockets service.

Support

Join our Slack community and chat with other community members about ideas.Join our Engineering All Hands meet-up to discuss your use case and learn Jina's new features. When? The second Tuesday of every month Where? Zoom (see our public events calendar/.ical) and live stream on YouTubeSubscribe to the latest video tutorials on our YouTube channel

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