Stable Diffusion Prompts Guide with Lexica Art

12 Sept 202211:03

TLDRThe video introduces, a platform created by Sharif Shamim that leverages CLIP embeddings and vector search to index and explore stable diffusion images. It demonstrates how users can improve their stable diffusion prompts by searching for desired prompts on, exploring similar images or styles, and understanding the additional keywords or settings needed to refine their prompts. The platform offers a way to save on API calls and GPU computation while enhancing the creative process for stable diffusion image generation.


  • 🌟 is a tool created by Sharif Shamim to enhance Stable Diffusion image creation.
  • 🔍 Utilize as a search engine for Stable Diffusion images and prompts to improve your workflow.
  • 🎨 Before running Stable Diffusion, search for your desired prompt to save on API calls and GPU computation.
  • 🌅 For specific image interests, like a 'beautiful sunset', explore to find similar images and refine your prompt.
  • 🔎 Use the 'explore the style' feature on to find images in a particular style that matches your preferences.
  • 🛠 Adjust your search settings on to find images by image relevancy or prompt text to suit your needs.
  • 🏙️ Find inspiration for specific styles, such as comic book or game development, by exploring's vast image library.
  • 💡 Copy and refine prompts from to create images that align with your vision without extensive trial and error.
  • 📈 hosts over 10 million Stable Diffusion images and prompts, providing a rich resource for creators.
  • 🤝 Join the Discord community for further engagement and support in your creative endeavors.

Q & A

  • What is the main topic of the video?

    -The main topic of the video is how to improve stable diffusion knowledge and prompts using

  • Who created was created by Sharif Shamim.

  • What technology does use for indexing images? uses CLIP embeddings and vector search for indexing images.

  • How can help with stable diffusion prompts? can help by providing a search engine for stable diffusion images, allowing users to find and refine prompts before running them on their systems, thus saving computation resources and API calls.

  • What are the two main options when exploring a style on

    -The two main options are copying the entire prompt and checking similar images, or clicking the 'explore this style' button to find images similar in nature.

  • How can you find a specific style of image on

    -You can search for a prompt or tag related to the style you're interested in, then use the 'explore this style' feature to find similar images.

  • What is the purpose of searching by image relevancy versus prompt text on

    -Searching by image relevancy uses CLIP embeddings to find visually similar images, while searching by prompt text looks for images that were created with similar text prompts.

  • How does help in saving GPU computation and API calls?

    -By allowing users to explore and refine prompts using indexed images before running them on their own systems, helps to reduce the need for repeated trials and errors, thus saving GPU computation and API calls.

  • What is the significance of finding the right prompt for stable diffusion?

    -Finding the right prompt is crucial for achieving the desired output in stable diffusion. It helps ensure that the generated images match the user's vision and requirements, avoiding unnecessary computation and API calls.

  • How can assist in maintaining consistency in style for a project?

    -By allowing users to explore and select specific styles through the 'explore this style' feature, helps maintain consistency in style across different images for projects like comic books, game scenarios, or cartoons.

  • What community resource is available for users? has a Discord community that users can join for further support and interaction.



🎨 Introduction to for Stable Diffusion Enhancement

The paragraph introduces the concept of using to improve stable diffusion prompts and images. It explains that, created by Sharif Shamim, utilizes CLIP embeddings and vector search to index images. The speaker suggests using to refine prompts for stable diffusion, either on Google Colab or Dream Studio, by searching for existing prompts and exploring similar images to optimize the creative process without wasting API calls or GPU computation.


🔍 Leveraging for Specific Prompts and Styles

This section delves into the practical use of for finding specific images and styles related to a prompt. The speaker demonstrates how to search for a prompt like 'beautiful sunset' or 'Batman' and refine the search by exploring similar images or styles. It emphasizes the importance of understanding the additional keywords and settings that can lead to desired outcomes in stable diffusion, thus saving API calls and computation resources.


🌐 Community and Resources for Stable Diffusion Artists

The final paragraph highlights the community and resources available on, including its Discord community and the vast collection of over 10 million stable diffusion images and prompts. The creator, Sharif Shamim, is credited for making accessible to everyone. The speaker encourages artists to explore to enhance their stable diffusion creations and promises to address any questions or interesting points in the comment section.



💡Stable Diffusion

Stable Diffusion is an AI model used for generating images from textual descriptions. It is a type of deep learning algorithm that has gained popularity for its ability to create high-quality, detailed images. In the video, the speaker discusses how to improve the use of Stable Diffusion by leveraging to enhance the prompts and generate better images.

💡 is a platform created by Sharif Shamim that serves as a search engine for Stable Diffusion images and prompts. It uses CLIP embeddings and vector search to index images, allowing users to find and explore similar images based on their desired prompts or styles. The platform is highlighted in the video as a tool to enhance the efficiency and quality of Stable Diffusion image generation.

💡CLIP Embeddings

CLIP embeddings are a type of neural network representation that captures the meaning of an image or text. They are used by to understand and index the content of images, enabling users to search for images based on their visual and textual descriptions. In the context of the video, CLIP embeddings are a crucial part of the technology that powers's search capabilities.

💡Vector Search

Vector search is a method of searching for items in a database based on their representation as vectors in a multi-dimensional space. In the context of, it is used to find images that are visually similar to a given image or prompt by comparing their vector representations. This allows for a more precise and relevant search result when looking for images to inspire or guide the creation of new Stable Diffusion prompts.


In the context of Stable Diffusion and, prompts are textual descriptions that guide the AI in generating images. A well-crafted prompt can significantly influence the output, making it more aligned with the user's vision. The video emphasizes the importance of refining prompts to improve the quality of images produced by Stable Diffusion.

💡Explore Style

The 'Explore Style' feature on allows users to find images that share a similar visual style or aesthetic to a selected image. This feature is useful for identifying and understanding the types of prompts that lead to a particular visual outcome, which can then be applied to create new images with a consistent style.

💡API Calls

API calls are requests made to an application programming interface (API) to perform specific tasks or access resources. In the context of the video, API calls are used to refer to the requests sent to the Stable Diffusion model to generate images based on prompts. The speaker advises using to minimize unnecessary API calls by finding the right prompts before running them on the AI model.

💡GPU Computation

GPU (Graphics Processing Unit) computation refers to the use of a GPU to perform complex calculations, such as those required for training or running AI models like Stable Diffusion. In the video, the speaker mentions GPU computation in the context of saving computational resources by optimizing prompts through before running them on a local system or cloud service.

💡Discord Community

A Discord community is a group of individuals who communicate and share information through the Discord platform. In the context of the video, the Discord community is mentioned as a resource for users to join, share experiences, and get support related to using and Stable Diffusion.

💡Sharif Shamim

Sharif Shamim is the creator of, who is also known for creating something called 'a d' during the Peak GPT free time. He is presented in the video as a key figure in the development of the platform, which has become widely used in the Stable Diffusion community.


Introduction to improving stable diffusion knowledge and prompts through is created by Sharif Shamim, known for creating D-Build during Peak GPT free time. uses CLIP embedding and Vector search face for indexing images.

Using to enhance stable diffusion prompts without wasting GPU or API calls.

Searching for a prompt on to find similar images and styles.

Option to copy prompts or explore styles based on indexed images.

Adjusting search settings to find images by major 11c or prompt text.

Example of finding a specific type of sunset image and exploring its style.

Using image relevancy or prompt text search modes for more targeted results.

Selecting a particular style for consistent imagery in projects like cartoons or comic books. as a search engine for stable diffusion images, aiding in prompt refinement.

Saving GPU computation and API calls by exploring existing images and prompts on

Building upon existing prompts to create new images with slight variations.

Exploring different styles to enhance creative projects using stable diffusion. hosting over 10 million stable diffusion images and prompts.

Joining the Discord community for further engagement and support.

Encouragement to check out for better stable diffusion prompting and art creation.