Create AI Apps with Image and Audio Models: MindStudio Tutorial
In the video titled ‘How to Create AI Apps with Image and Audio Models’ by MindStudio, viewers are introduced to the latest updates in the MindStudio platform. The video provides a comprehensive guide on how to leverage new automation blocks for generating images and audio within workflows and chat applications.
The video begins with an overview of the new features, including blocks for image generation, text-to-speech, and image analysis. These features are part of MindStudio’s expanded library of 37 AI models, with more to come. The new individual subscription tier is introduced, offering access to unlimited apps and all AI models, while the teams tier includes additional capabilities like embedding, API access, and global logging.
The demonstration starts with a walkthrough of the updated user interface, highlighting the new dropdown menu for adding automation blocks. The send message block has been split into two separate blocks: generate text and display text. The generate text block uses large language models to generate text responses, while the display text block shows text directly to the user.
Next, the video demonstrates how to create a workflow that generates text based on user input, generates an image related to the text, and displays both the text and image. The process involves using blocks like user input, generate text, generate image, and display text. The presenter also shows how to assign variables and use model settings to select the appropriate AI models.
The video then introduces an image analysis block, which can analyze uploaded images and incorporate the analysis into text generation. The presenter demonstrates how to upload an image, analyze it, and use the analysis in text and image prompts.
Finally, the text-to-speech block is showcased, converting generated text into high-quality audio. The presenter walks through the steps to add the text-to-speech block, select a model, and display the audio player in the chat interface. The video also mentions future plans to add more models and features, such as video generation and speech-to-text.
Throughout the video, practical examples are provided, including generating a story about a cat driving through the city, analyzing an image of a sports car, and converting the story into audio. The video concludes with a demonstration of a more complex workflow built by a colleague, showcasing the integration of multiple blocks and models to create a comprehensive blog post generator.
Overall, the video offers a detailed tutorial on utilizing MindStudio’s new automation blocks for creating AI applications with image and audio models, making it accessible for users to enhance their projects with advanced AI capabilities.