Stable Diffusion Prompts Guide with Lexica Art

12 Sept 202211:03

TLDRThe video introduces, a platform created by Sharif Shamim that utilizes CLIP embeddings and vector search to index and explore stable diffusion images. It demonstrates how users can leverage to enhance their stable diffusion prompts by searching for desired prompts, exploring similar images, and refining their prompts with additional keywords or styles. This tool can save API calls and computation resources, making the creative process with stable diffusion more efficient and targeted.


  • 🎨 is a platform created by Sharif Shamim that enhances stable diffusion image creation.
  • πŸ” Utilize as a search engine for stable diffusion images and prompts to improve your workflow.
  • πŸŒ… When creating a prompt for a stable diffusion image, search for similar prompts to save on API calls and GPU computation.
  • πŸ“Έ Explore different styles within to find and refine the visual style you prefer for your projects.
  • πŸ”— Copy and modify existing prompts from to create new images that fit your desired theme or concept.
  • πŸ’‘ Use the 'explore the style' feature to find images similar in nature to ones you like.
  • πŸ›  Adjust settings like major 11c or search by prompt text to refine your image search results.
  • πŸ—οΈ Build upon existing prompts to develop a consistent style for scenarios like comic books, game development, or cartoons.
  • πŸ“ˆ hosts over 10 million stable diffusion images and prompts, providing a vast resource for inspiration and reference.
  • 🀝 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 to index images.

  • How can help in improving stable diffusion prompts? can help by allowing users to search for prompts and find images that have been created with similar prompts, thus providing inspiration and guidance for creating new images.

  • What are the two options available when clicking on an image in

    -The two options are to copy the entire prompt or to explore the style of the image.

  • How does exploring a style in help with stable diffusion?

    -Exploring a style shows images similar in nature to the selected image, which can help users understand the types of prompts needed to achieve a particular style and improve their own stable diffusion creations.

  • What is the benefit of searching by image relevancy versus prompt text in

    -Searching by image relevancy uses CLIP embeddings to find visually similar images, while searching by prompt text finds images based on the exact prompt text, allowing users to refine their searches based on their needs.

  • How can help save API calls or GPU computation?

    -By allowing users to explore and understand existing prompts and images, helps in crafting more effective prompts, reducing the need for multiple API calls or GPU computations to achieve the desired image.

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

    -Finding the right prompt is crucial for achieving the desired image outcome in stable diffusion. It helps in avoiding trial and error, saving resources, and ensuring consistency in style and quality.

  • How many stable diffusion images and prompts does currently have? currently has over 10 million stable diffusion images and prompts.

  • What community support does offer for users? offers a Discord community where users can join for further support and interaction with other users.



🎨 Introduction to Lexicon.Art for Stable Diffusion Improvement

This paragraph introduces the viewers to the concept of using Lexicon.Art to enhance their knowledge and utilization of stable diffusion prompts. It explains that Lexicon.Art, created by Sharif Shamim, is a platform that leverages CLIP embeddings and vector search to index images. The speaker encourages viewers to use Lexicon.Art to refine their prompts for stable diffusion, either on Google Colab or Dream Studio, by searching for existing prompts and exploring similar images to optimize their results without wasting computational resources.


πŸ” Leveraging Lexicon.Art for Specific Prompts

The speaker delves into the specifics of how Lexicon.Art can be used to improve stable diffusion prompts. They demonstrate the process of searching for a prompt like 'beautiful sunset' and selecting images that match the desired style. The paragraph explains the options available once a user finds an image they like, such as copying the prompt or exploring similar styles. The speaker emphasizes the importance of refining the prompt to match the desired outcome and suggests using Lexicon.Art to find the right style and additional keywords that can enhance the final image.


πŸš€ Expanding Creative Horizons with Lexicon.Art

In this paragraph, the speaker discusses the benefits of using Lexicon.Art for creative exploration and inspiration. They mention that the platform hosts over 10 million stable diffusion images and prompts and has an active Discord community for users to join. The speaker encourages viewers to explore different styles and adapt prompts to fit their needs, such as changing an actress in a 'synthwave' image. The paragraph concludes by reiterating the value of Lexicon.Art in saving API calls and computational resources while enhancing the creative process with stable diffusion.



πŸ’‘Stable Diffusion

Stable Diffusion is an AI-based image generation model that creates images from textual descriptions. In the video, it is the primary tool discussed for generating images, and the speaker provides tips on how to improve the quality of the images produced by this technology.

πŸ’‘ 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 refine their prompts before generating images with Stable Diffusion.

πŸ’‘CLIP Embeddings

CLIP embeddings are a type of AI-generated vector representation that captures the semantic meaning of images and text. They are used by to match and recommend images based on the content and style of a given prompt.

πŸ’‘Vector Search

Vector search is a method of searching for items in a database based on their similarity to a given query, represented as vectors in a multi-dimensional space. In the context of, it is used to find images that are stylistically similar to a user's desired output.


In the context of AI image generation, prompts are textual descriptions that guide the AI to create specific images. The video focuses on improving the quality and specificity of prompts for Stable Diffusion to generate better images.


GPU stands for Graphics Processing Unit, a specialized hardware designed for efficiently processing graphical and computationally intensive tasks. In the video, the speaker mentions GPUs in the context of running Stable Diffusion to generate images, and how using can save on GPU computation.

πŸ’‘Dream Studio

Dream Studio is a platform that provides access to AI-based tools, including Stable Diffusion, for creating images. The video mentions it as one of the places where users might want to use Stable Diffusion to generate images.

πŸ’‘Image Relevancy

Image relevancy refers to the degree to which an image matches the user's search query or prompt. In, it is a search parameter that helps users find images that are closely related to their desired output.

πŸ’‘Explore Style

Explore Style is a feature in that allows users to find and view images in a particular style based on a given prompt or image. It helps users understand the visual language associated with specific prompts and improve their own image generation process.

πŸ’‘API Calls

API calls are requests made to a software application programming interface (API) to perform specific tasks or access data. In the context of the video, API calls are used to interact with Stable Diffusion and generate images based on prompts.

πŸ’‘Discord Community

A Discord community is a group of users who communicate and share information on the Discord platform. In the video, it is mentioned as a resource for users of to connect, share experiences, and get support related to Stable Diffusion and image generation.


Introduction to improving stable diffusion knowledge and prompts.

Introducing as a resource for enhancing stable diffusion images. is created by Sharif Shamim, known for creating a D build during Peak GPT free time. uses CLIP embeddings and Vector search face for indexing images.

Using to leverage prompts for stable diffusion without running it on your system.

Searching for a specific prompt on to see if anyone has created a similar prompt.

Option to copy the entire prompt or explore similar images.

Exploring a style gives images similar in nature to the selected image.

Adjusting settings to search by major 11c or prompt text for more refined results.

Using to find the right prompt and avoid wasting API calls or GPU computation. serves as a search engine for stable diffusion images.

The importance of having the right prompt for stable diffusion and how to refine it using

Exploring different styles on to maintain consistency in your creations.'s collection of over 10 million stable diffusion images and prompts.

Joining the Discord community for to connect with others interested in stable diffusion.

Sharif Shamim's contribution to the field and the widespread use of

Recommendation to check out for better art creation with stable diffusion.