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Artline

ArtLine is an open-source deep-learning project that converts portrait images into line art and includes a ControlNet workflow for changing portrait style with a written instruction.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Artline — OpenViST project profile in Image & Video AI.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use ArtLine for portrait-focused line-art experiments or instruction-guided style changes, especially when you can review and refine the generated result.

Who it is for

  • Artists and illustrators experimenting with line-art portrait treatments.
  • Creators who want to explore instruction-guided styling of portrait images.
  • Developers interested in a notebook-based image-generation project.

Documented uses

  • Create a line-art portrait from a portrait image.
  • Use a written instruction to adjust the style of a portrait through the ControlNet workflow.
  • Experiment with portrait-generation notebooks in Colab.
Before you choose

Requirements & limits

The repository is public and MIT-licensed. It links to Google Colab notebooks for trying the workflows.

  • The ControlNet workflow takes both a portrait image and a written instruction.
  • The repository lists fastai 1.0.61 and PyTorch 1.6.0 and advises against higher versions.
  • The documentation warns that low-quality images below 500 pixels can produce poor results.
  • Shadows may be mistaken for hair, and output quality varies with lighting, backgrounds, shadows and photo quality.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Prepare the documented local dependencies

Set up the versions of fastai and PyTorch named in the repository before working with the project code.

Before you start

  • The ArtLine repository
  • A Python environment for the project dependencies

Steps

  1. Use fastai version 1.0.61 and its dependencies.

  2. Use PyTorch version 1.6.0.

  3. Avoid higher versions of these dependencies, as the repository advises.

Expected outcome

An environment prepared with the dependency versions specified by the repository.

Guide limitations

  • The repository does not provide a complete, verified installation procedure in the cited documentation.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
15 October 2026
Original website title
vijishmadhavan/ArtLine · Official homepage title · retained in its source language
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