Midjourney

A self-funded research lab that created a very coherent text-to-image model. Now in public beta, Midjourney takes advantage of the Discord interface to integrate image generation and community. You can learn more about this powerful tool by reading my guide.

Looking Glass

Open In Colab

An easy-to-use Python script that generates variations of an image. This script runs inside a Colab notebook. It was created and maintained by Twitter user @ai_curio. The script does this by fine-tuning the ruDall-e model provided by Sber AI.

This script is a simple yet powerful tool for creating variations of an existing image. This tool can be used for content creators or artists who want to explore new ideas quickly and easily. At the time of this article, the script can only be used in Colab notebooks.

For more info, please read my full write-up.

DALL-E Flow

Open In Colab

DALL·E Flow is an interactive workflow for generating high-definition images from a text prompt. Artificial intelligence is revolutionizing the world of photography. As technology advances, it becomes more sophisticated and mainstream. This workflow leverages the capabilities of DALL·E-Mega to generate attractive image candidates and then relies on CLIP-as-service to rank the merits of each one.

DALL-E Playground

Open In Colab

A playground for DALL-E enthusiasts to tinker with the open-source alternative to OpenAI’s DALL-E, based on DALL-E Mini. This Colab notebook uses Google Cloud GPUs to run the model. You have three models to select from. If you have a free tier Colab account, you should use the “Mini” model.

Craiyon

Craiyon is a text-to-image model created by AI enthusiasts, Boris Dayma and Pedro Cuenca. The model is easy to use and generates coherent images from your prompts. The creators of this model changed its name to Craiyon from DALL-E Mini (no relation to Open Ai).

MindsEye Beta

An ai art pilot by the folks over at multimodal.art. MindsEye is a Colab notebook backend with a friendly user interface on the front. The interface has a cool feature where you can switch between and try out differing open source models.

Choose the right tools and software for the job.

There are a number of different AI art tools and software packages available on the market. Do some research to find the ones that best suit your needs and budget.

Follow the instructions.

Most AI art tools and software packages come with detailed instructions on how to use them. Make sure to follow these closely to get the best results.

Experiment.

Don’t be afraid to experiment with different settings and options. Many of these tools and software packages offer a wide range of possibilities, so it’s worth taking some time to explore what they can do.

Be patient.

Creating AI art can be a time-consuming process, so it’s important to be patient. Don’t expect to create a masterpiece overnight – it may take days, weeks, or even longer to get the results you’re looking for.