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Stable Diffusion Image Generator

Stable Diffusion is an advanced AI text-to-image generator that can create incredibly coherent images from a text prompt.

Artistic Portrait
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Stable Diffusion Text To Image Art
Prompt: "Ice Princess"

Generate Coherent Images

Stable Diffusion text-to-image AI art generator

Stable Diffusion is an advanced AI text-to-image synthesis algorithm that can generate very coherent images based on a text prompt. It's commonly used for generating artistic images, but can also generate images that look more like photos or sketches.

Unlike previous AI text-to-image algorithms like VQGAN+CLIP, CLIP-Guided Diffusion and even Latent Diffusion, Stable Diffusion is quite good at generating faces. It's also good at generating realistic 3D scenes.

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No coding required, takes seconds to learn. Type a text prompt then set the algorithm parameters with a few clicks.


Create artworks from text using your desktop, laptop, tablet, or smartphone. View and manage your images from anywhere.

Free tier

Generate, tweak, and download up to 5 artworks per day for free. Download free or paid creations without watermarks!

This is fascinating and incredible stuff. I have so much fun with generative art tools, and this is next level!

— @makeanything
Stable Diffusion Image
Prompt: "Hipster Llama wearing a hat, studio lighting, award winning photography."

The art of asking

Generate novel images using a Stable Diffusion model

Stable Diffusion is good at mashing up concepts to create entirely novel images. Take this one for example based on the prompt "A hipster Llama wearing a hat, studio lighting, award winning photography."

If you can type it, you can probably see it! The results from this model aren't always what you expected, but they are always interesting.

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How to create text to image art with Stable Diffusion

Generate images with Stable Diffusion in a few simple steps. No code required to generate your art!

Step 1. Create

Type a text prompt, add some keyword modifiers, then click "Create."

Step 2. Wait for the files to be created

...the Stable Diffusion algorithhm usually takes less than a minute to run.

Step 3. Admire

Admire your artwork, then do whatever you like with it. You can even sell your images!

Top Stable Diffusion Art

See some of the top text-to-image artworks that users have made with NightCafe Creator's Stable Diffusion algorithm.

a month ago

Post-Apocalyptic World Ruined by a H P Lovcraft Elder god

StableMediumLow Res1953.1x

Thomas Wow, now that is badass


Read all 82 comments
Anonymous User

Best Friends

StableShortLow Res2x

this is so much better than what i expected lmao

Allison TennessenI love this, and the color is great

lawrencelotStable Literal 👌🔥

Read all 78 comments
Anonymous User
a month ago· 🪙💰💸 10
Daedric Warrior
Daedric Warrior

Daedric Warrior

StableShortLow Res2x



Read all 49 comments
Anonymous User
Sinister Horror House Ruined by a Lovecraftian Eldritch Elder God
Sinister Horror House Ruined by a Lovecraftian Eldritch Elder God

Sinister Horror House Ruined by a Lovecraftian Eldritch Elder God

StableMediumLow Res12.5x

MysticalMermaidOoo spooky 😈

DarkMystiqueVery realistic!!!

Read all 79 comments
Anonymous User

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Stable Diffusion FAQs

Learn more about the Stable Diffusion algorithm and NightCafe Creator

🎨 What is Stable Diffusion?

Stable Diffusion is a state-of-the-art text-to-image art generation algorithm that uses a process called "diffusion" to generate images. "Diffusion" works by training an artificial neural network to reverse a process of adding "noise" (random pixels) to an image. Once trained, the neural network can take an image made up of random pixels and turn it into an image that matches your text prompt.

The makers of this model chose to make stable diffusion public only recently and its release is a major landmark in the AI art space.

⏱️ Who created Stable Diffusion?

Stable Diffusion was created by researchers employed or sponsored by Stability AI and the CompVis team at Ludwig Maximilian University of Munich. The model training was funded primarily by Stability AI and sponsored in part by NightCafe Studio.

If you'd like to learn more about the model, the technical details are available on CompVis's stable diffusion GitHub profile.

🤖 Stable Diffusion vs DALL-E 2

In terms of image outputs, Stable Diffusion and DALL-E 2 are quite similar. DALL-E 2 is often better at complex prompts, while Stable Diffusion images are often more aesthetically pleasing. With just 890M parameters, the Stable Diffusion model is much smaller than DALL-E 2, but it still manages to give DALL-E 2 a run for its money, even outperforming DALL-E 2 for some types of prompts. Unlike DALL-E 2, the Stable Diffusion code and trained model is Open Source and available on GitHub for use by anyone.

In short, the two image generation models are comparable, with minor differences in how closely their outputs match expected outcomes.

💸 Will it cost me money to create Text-to-Image Art using NightCafe Creator?

It's free to generate up to 5 artworks per day using any of our image generation tools. To create more images, you can subscribe, purchase a credit pack, or earn credits by participating in the community. Subscriptions are not required to generate images.

📱 What platforms does NightCafe Creator work on?

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 run stable diffusion from 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.

🖼️ Do I own the artworks I create?

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 and license laws for AI-generated art are still evolving, and some jurisdictions will not grant Copyright for AI-generated artworks.

👨‍💻 How does Stable Diffusion work?

As a latent diffusion model, the stable diffusion code creates images by removing noise through a series of steps until it arrives at the desired image. The technical details can't be glossed over, so if you want a more in-depth understanding of the process, you'll need to start by learning how convolutional networks, variational autoencoders, and text encoders work together in this type of machine learning model.

In slightly simpler terms, stable diffusion was first trained with a database of text and image pairs provided by Laion. Using this database the model was gradually “taught” how to generate images from a seed by starting with a rough result and gradually improving the resolution it until it satisfies certain conditions.

Cheers to you, this awesome platform, and this incredible community. A heck ton of good days ahead.

— @shootwhatsmyname
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