Stable Diffusion

Stable Diffusion: Help Center

Need help? We've got your back.

If you're new to Stable Diffusion and looking for tips, check out our Beginner's Guides

Frequently asked questions

  • What is Stable Diffusion?

    Stable Diffusion is an advanced image editing technique that utilizes latent text-to-image diffusion models to generate photo-realistic images based on text inputs.

  • What is Stable Diffusion 3 Medium?

    Stable Diffusion 3 Medium (SD3 Medium) is the most advanced text-to-image generative AI model with 2 billion parameters, designed for high-quality image creation on consumer devices. It excels in generating detailed and realistic images, understanding complex prompts, and producing accurate text. SD3 Medium is optimized for low VRAM usage, making it accessible for hobbyists and small businesses. Released by Stability AI, the model is open-sourced for non-commercial use and offers various licensing options for commercial applications.

  • What are Diffusion Models?

    Diffusion models are trained through the addition of noise to images, which allows the model to learn how to effectively remove it. Subsequently, the learned denoising process can be utilized by the model to generate realistic images from random seeds.

  • How to Write a better Stable Diffusion Prompt?

    To improve the accuracy of AI-generated images, it is advisable to provide specific prompts. A generic prompt, such as "generate a cat," may produce numerous generic images. However, if you have a specific cat breed in mind, such as a Persian cat, mentioning it can help the AI produce more accurate depictions.

  • What was the Stable Diffusion model trained on?

    Stable Diffusion, a model that was trained by the CompVis team at the University of Heidelberg in accordance with German laws, utilized the 2b English language label subset of LAION 5b as its underlying dataset. LAION 5b is a general web crawl of the internet created by the German charity LAION. The dataset was not subjected to any filtering process to include or exclude any particular group.

  • Can artists opt out of Stable Diffusion?

    Artists will now have the ability to choose which of their works are excluded from the training data.

  • What is the copyright for using Stable Diffusion generated images?

    The copyright for using AI-generated images is a complex legal issue that has not been fully resolved in many jurisdictions. In general, the copyright for an AI-generated image is likely to be owned by the person or organization that created the underlying AI algorithm or data set that was used to generate the image. However, if the AI algorithm was trained on copyrighted images or other materials, then there may be copyright issues related to the use of the AI-generated image.

  • Is Stable Diffusion free?

    Yes, Stable Diffusion is currently accessible for free, both through its web-based interface and by installing it on your local device. Users can enjoy the benefits of Stable Diffusion's AI image generation capabilities without any cost, making it a widely accessible tool for creating images using text prompts.

  • Is Stable Diffusion secure?

    Stable Diffusion is considered safe and secure since its release, and thousands of people have been using the program without any reported security issues or complaints. Users have found it to be a reliable and trustworthy tool for generating images, providing a positive experience overall.

  • How does Stable Diffusion create images?

    Stable Diffusion creates images based on text prompts provided by users. It uses a text-to-image generation model to produce realistic images or artistic visuals that match the given descriptions.

  • How does Stable Diffusion work?

    As a diffusion model, Stable Diffusion differs from many other image generation models. In principle, diffusion models use Gaussian noise to encode an image. Then, they use a noise predictor together with a reverse diffusion process to recreate the image.

    Apart from having the technical differences of a diffusion model, Stable Diffusion is unique in that it doesn’t use the pixel space of the image. Instead, it uses a reduced-definition latent space.

    The reason for this is that a color image with 512x512 resolution has 786,432 possible values. By comparison, Stable Diffusion uses a compressed image that is 48 times smaller at 16,384 values. This significantly reduces processing requirements. And it’s why you can use Stable Diffusion on a desktop with an NVIDIA GPU with 8 GB of RAM. The smaller latent space works because natural images aren't random. Stable Diffusion uses variational autoencoder (VAE) files in the decoder to paint fine details like eyes.

    Stable Diffusion V1 was trained using three datasets collected by LAION through the Common Crawl. This includes the LAION-Aesthetics v2.6 dataset of images with an aesthetic rating of 6 or higher.

  • What are the benefits of using Stable Diffusion?

    Stable Diffusion offers superior image quality, enhanced stability, and realistic output. It is versatile and can be used in various applications such as medical imaging, artistic design, and general image editing tasks.

  • Can Stable Diffusion be used for video editing?

    Stable Diffusion is primarily designed for image editing. However, it can be adapted for video editing by processing individual frames sequentially.

  • Is Stable Diffusion easy to use for beginners?

    While Stable Diffusion may have a learning curve for beginners, it provides an intuitive interface that makes it accessible to professionals and amateurs alike.

  • Can Stable Diffusion correct image color or reduce noise?

    Yes, Stable Diffusion can effectively perform image color correction and noise reduction, among other image editing tasks. It allows users to enhance specific features of an image.

  • Can I customize the output of Stable Diffusion?

    While the customization options may vary depending on the platform or software implementing Stable Diffusion, it often allows users to control specific aspects of the image generation process.

  • Is Stable Diffusion compatible with different operating systems?

    Stable Diffusion can be developed to be compatible with various operating systems, including Windows, macOS, and Linux.

  • What sets Stable Diffusion apart from other image editing techniques?

    Stable Diffusion stands out due to its ability to generate highly realistic and stable images. It leverages latent text-to-image diffusion models, offering unique capabilities not found in traditional editing methods.

  • Where can I access Free Stable Diffusion Online website?

    If you're looking to explore the text-to-image capabilities of Stable Diffusion without any cost, you can visit the official website at Stable Diffusion Online. This platform offers a user-friendly interface where you can input text prompts and have Stable Diffusion generate images that match your descriptions. Whether you're envisioning a serene landscape or a futuristic cityscape, simply type in your desired scene, and the AI will transform your words into a visual masterpiece. It's a fantastic way to experiment with AI-generated art and see how your textual ideas come to life through Stable Diffusion's powerful image synthesis.