Image Generation/Text-To-Image With Stable Diffusion (DALL-E / MidJourney Alternative)

What Is Image Generation/Text-To-Image?

Thanks to the Stable Diffusion model, released by Stability AI, it is now possible to generate an image out of a simple text instruction, and get results equivalent to OpenAI DALL-E or MidJourney. Easily generate photorealistic images, art, drawings, logos, and much more.

Simply write a short text instruction and let the model generate an image out of it.

Here is an example. Let's generate an image for the following instruction:

An oil painting of a fox in the snow

Here is the result:

Fox in the snow, generated by Stable Diffusion

Maybe you would like to generate a more realistic image? Let's try the following:

A photograph of a baboon walking in the street

Here is the result:

Baboon in the street, generated by Stable Diffusion

Impressive isn't it?

Stable Diffusion is the most advanced open-source text to image model as of this writing, and it is the best DALL-E / MidJourney alternative!

Why Use Image Generation?

Automatic image generation is still a very recent AI field, so new use cases are being discovered everyday. Here are a couple of examples.

Content Creation for Digital Marketing

AI-generated images can revolutionize digital marketing by creating visually appealing and diverse content for websites, social media platforms, and advertising. Customizable and scalable, AI can produce unique images tailored to campaign themes or branding requirements, significantly reducing the time and cost associated with traditional content creation. For instance, businesses can instantly generate images of their products in various settings without the need for elaborate photo shoots.

Educational Materials and eLearning

AI image generation can enhance educational and eLearning materials by providing custom illustrations, diagrams, and visual aids tailored to specific learning objectives. This technology can help create engaging and interactive content for students, facilitating better understanding and retention of information. For example, AI can generate historical scenes, scientific diagrams, or complex mathematical visualizations that might be hard to find or create otherwise.

Video Game Development and Virtual Worlds

In the realm of video game development and virtual worlds, AI-generated images can be used to create textures, landscapes, characters, and more, streamlining the design process and enabling more dynamic and diverse environments. This allows for the efficient production of expansive, detailed virtual worlds at a fraction of the time and cost, making game development more accessible to smaller studios and indie developers. Procedural generation, powered by AI, can also ensure that each player's experience is unique by dynamically creating environments in real-time.

Prototype and Concept Visualization

For designers, engineers, and inventors, AI image generation offers a powerful tool for rapidly visualizing prototypes and concepts. Whether it's a new product, a piece of machinery, or architectural designs, AI can create detailed and realistic renderings from basic descriptions or sketches. This significantly accelerates the iterative design process, allowing for quick adjustments and the exploration of multiple design variations without the need for extensive physical models or early-stage manufacturing. It can be particularly useful in industries like automotive design, consumer electronics, and urban planning, where visualizing a new concept in a real-world context can be critical for decision-making and stakeholder approval.

NLP Cloud's Stable Diffusion API

NLP Cloud proposes a text-to-image API based on Stable Diffusion that gives you the opportunity to perform image generation out of the box, with breathtaking results.

For more details, see our documentation about image generation with Stable Diffusion here. And easily test image generation on our playground. In order to make the most of Stable Diffusion, read this article that shows various text to image techniques here.

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Frequently Asked Questions

What is Stable Diffusion, and how does it compare to OpenAI's Dall-E and Midjourney?

Stable Diffusion is a text-to-image AI model that generates digital images based on textual descriptions, similar to OpenAI's Dall-E and Midjourney, but it is open-source and allows for more flexible and widespread use due to fewer restrictions on access and customization. It can create highly detailed and creative images at a lower computational cost, somewhat democratizing the field of AI-generated art. While Dall-E and Midjourney are proprietary and offer their own unique features and strengths in producing artistic or photorealistic images, Stable Diffusion's open nature fosters a community-driven approach to improvements and applications in image generation.

Can I try the Stable Diffusion API for free?

Yes, like all the models on NLP Cloud, the Stable Diffusion API can be tested for free.

How does your AI API handle data privacy and security during the image generation process?

NLP Cloud is focused on data privacy by design: we do not log or store the content of the requests you make on our API. NLP Cloud is both HIPAA and GDPR compliant.

What is the resolution of the image generated by Stable Diffusion?

The Stable Diffusion API will always return an HD image (1024x1024 px)

How does the API ensure the images generated by Stable Diffusion are unique and avoid copyright or trademark infringement?

Stable Diffusion incorporates model training techniques that aim to generalize artistic styles and visual concepts without replicating specific copyrighted images directly. It generates unique images by combining and transforming learned elements in new ways based on textual prompts, which significantly reduces the risk of producing direct copies of copyrighted materials. However, the responsibility to avoid copyright or trademark infringement ultimately also lies with the users, who must use the technology ethically and be mindful of potential legal implications when generating images that might closely resemble copyrighted content.

Can Stable Diffusion generate adult/NSFW/sexually explicit content?

No, the Stable Diffusion models we deploy on the NLP Cloud API cannot generate adult/NSFW/sexually explicit content

Once the image is generated, how can I download it?

Once the image is generated, it will be temporarily stored on an AWS S3 bucket and you will be given a URL to download it
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