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easyartistry

A small tool that allows small artists and indie studios to be able to better utilize AI image generation as opposed to fighting with it.

https://github.com/calebrd/easyartistry

Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

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    CITATION.cff file
    Found CITATION.cff file
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    codemeta.json file
    Found codemeta.json file
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    .zenodo.json file
    Found .zenodo.json file
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    DOI references
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    Academic publication links
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    Institutional organization owner
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    JOSS paper metadata
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    Scientific vocabulary similarity
    Low similarity (11.1%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

A small tool that allows small artists and indie studios to be able to better utilize AI image generation as opposed to fighting with it.

Basic Info
  • Host: GitHub
  • Owner: CalebRD
  • License: agpl-3.0
  • Language: Python
  • Default Branch: main
  • Size: 207 MB
Statistics
  • Stars: 0
  • Watchers: 2
  • Forks: 2
  • Open Issues: 3
  • Releases: 0
Created about 2 years ago · Last pushed over 1 year ago
Metadata Files
Readme Changelog License Citation Codeowners

README.md

EasyArtistry

Easy Artistry is a tool intended to aid small artists and indie studios in developing larger projects using AI image generation. The tool will consist of a desktop application that uses artist-centric features to allow image generation engines to be able to iterate on, modify, and aid in creation of artists orginal works. Easy Artistry is not intended to replace human artists, but instead to expand the scope of what an already skilled artist can acomplish with a smaller amount of time and budget. Our hope is to allow individuals to create animations, comics, and concept art, and small studios to create films.

Our goals this semester is to build a prototype desktop app, with our main features in place. Primarily, we want to be able to generate and modify images with StableDiffusion, in a way that prevents direct publication. Our stretch goals (which are looking more achievable given the unexpectedly large size of our team!) are to begin allowing users to pay the bare minimum required to generate the images over the internet, allow users to change the image generation model to one of their choice, and to begin training our own, more ethical, image generation model.

Stack: Our current plan is to use python for both front and back end, and StableDiffusion as our starter model. However, this is subject to change as our needs change, and we learn more.

Roadmap: - [x] Get a basic framework program running. Feb. 15 - [x] Generate images locally using StableDiffusion. Feb 15 - [x] Generate images in the program. Feb 30 - [x] Implement Invisible watermark - [x] Implement presets. - [ ] Implement API support. - [ ] Begin Prototyping iteration. - [ ] Refine iteration tools. - [ ] Refine UI and begin branding. - [ ] Polish website, add download link. - [ ] Begin testing online image generation (possibly using AWS). - [ ] Begin testing other engines. - [ ] Begin Researching our own model. - [ ] Start social media campaign to collect data ethically.

Owner

  • Login: CalebRD
  • Kind: user

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
  - given-names: AUTOMATIC1111
title: "Stable Diffusion Web UI"
date-released: 2022-08-22
url: "https://github.com/AUTOMATIC1111/stable-diffusion-webui"

GitHub Events

Total
  • Member event: 1
Last Year
  • Member event: 1