The "how" is easy. Just enter any word or phrase you like into the VQGAN algorithm - this is known as the text prompt. E.g., "A cow jumping over the moon." We have also provided you with a list of popular modifier keywords that will help influence the style of your art. E.g. "Abstract," "Trending on Artstation," and "Water Color" just to name a few. Modifiers are optional settings when using VQGAN and CLIP. When you click "Create," our AI will work its magic to produce an image that matches your text prompt.

It takes between 1 and 30 minutes depending on how long you choose to run the VQGAN and CLIP algorithm. VQGAN AI is a transformer that changes the text prompts into images, and a longer run time gives your images a better chance of properly forming.

VQGAN and CLIP are two state-of-the-art machine learning algorithms that work together to create art from a text prompt. VQGAN is an image generator, and CLIP can judge how well the image matches your prompt. CLIP gives feedback to VQGAN on how to make the image more like the text prompt even without prior training. Run this process a few hundred times, and some incredible results emerge during the generation process!

VQGAN and CLIP work together to produce amazing results. By playing around with the settings, you can create images that never cease to amaze.

CLIP-Guided Diffusion is a text-to-image AI algorithm that combines two types of neural networks to generate images. "Diffusion" works by gradually training a neural network to reverse a process of adding "noise" (random pixels) to an image. Once trained, the neural network can generate new images from nothing but random noise. In CLIP-Guided Diffusion, CLIP is used to "guide" the diffusion process towards an image that matches a particular text prompt.

Disco Diffusion refers to a particular implementation of CLIP-Guided Diffusion, available on an online programming platform called "Google Colab." Programs on Google Colab are usually referred to as "notebooks." The Disco Diffusion notebook combines a lot of improvements that various developers have made to the original CLIP-Guided Diffusion algorithm and is able to produce some amazing results.

VQGAN is a machine-learning algorithm that can be used to generate images. VQGAN stands for Vector Quantized Generative Adversarial Network. "Vector Quantization" is a data-compression technique that allows a large set of data points to be represented by a much smaller set of groups. "Generative Adverserial Network" is a type of neural network architecture that pits two neural networks against each other - one network aims to generate realistic images, and the other network aims to discriminate between real and generated images. As they both get better at their defined task, the images that they generate become more realistic.

VQGAN+CLIP and CLIP-Guided Diffusion are both text-to-image AI algorithms. VQGAN+CLIP (referred to on NightCafe as "Artistic") came first. VQGAN and CLIP are very good at generating images with beautiful textures based on text prompts with lots of artistic keywords. If you are looking to generate abstract and creative images, VQGAN might be the best approach. CLIP-Guided Diffusion (referred to on NightCafe as "Coherent") came later and uses a different process for generating images (see "What is CLIP-Guided Diffusion" above) but still uses CLIP to guide the visual generation. Diffusion is better at composing images in a coherent way than VQGAN, and you're more likely to get realistic-looking results when you run the diffusion algorithm on your prompts.

It's free to generate up to 5 artworks per day using the VQGAN and CLIP or CLIP Guided Diffusion image generation tools. To create more images, you can purchase a credit pack or earn credits by participating in the community. No subscriptions are required when you generate images.

NightCafe Creator is a web-based image generation app. You won't find it on any app store, but you can install it and run it on the home screen of your iPhone, Android phone, or tablet. Once the image generation app is installed on your device, you can begin to create beautiful images from text.

Yes! As long as you own (or have permission to use) any images that you used in the creation process, we transfer any Copyright assignment to you - the creator. Please check the Copyright laws in your own country to confirm. Copyright laws for AI-generated art are still evolving, and some jurisdictions will not grant Copyright for AI-generated artworks.