Run Stable Diffusion With Free GPU | Stable Diffusion HINDI - I

The script introduces Table Diffusion as an art tool that allows users to generate various types of images with full control over the output. The speaker has generated images of architecture, dangerous monsters, and even toys, showcasing the versatility of the tool. They mention generating stylish portraits and explain that users can create their own images with this tool. The tutorial series aims to teach basic usage of Table Diffusion, and the speaker encourages viewers to access a playlist for further instructions. The tool is described as an open and free AI model developed by Stability.nic and is available for public use. The speaker also discusses the necessity of a high-performance CPU for running advanced models and suggests using Google's private PC for generating images without restrictions.

This paragraph discusses the use of custom Stable Diffusion models for generating images in specific styles. The speaker mentions the availability of these models on a website, where users can find a variety of models tailored to different artistic styles. They highlight the importance of checking settings like 'STability' and 'anything B' for better performance. The speaker also talks about the use of 'model wedging' to enhance the output of the models and recommends checking 'STability' and 'anything B' for optimal results. They introduce the concept of 'Negative Prompting' to guide the AI in generating desired images and explain how to use it effectively. The paragraph concludes with a demonstration of generating an astronaut riding a horse in space, emphasizing the ease of use and the creative potential of the tool.

The speaker details the process of generating an image using Table Diffusion, starting with the creation of a custom prompt. They write a description for the desired image, which includes an astronaut riding a horse in space, and then proceed to generate the image by clicking the 'Generate' button. The script explains the use of 'Negative Prompting' to exclude unwanted elements from the image. The speaker also discusses the quality of the generated image, expressing personal preference for the high-quality output. They mention the possibility of modifying the prompt to experiment with different styles, such as 'Leonardo da Vinci style', and highlight the importance of settings in achieving high-quality image generation.