Author Archive | Kanwal Mehreen

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Inpainting and Outpainting with Stable Diffusion

Inpainting and outpainting have long been popular and well-studied image processing domains. Traditional approaches to these problems often relied on complex algorithms and deep learning techniques yet still gave inconsistent outputs. However, recent advancements in the form of Stable diffusion have reshaped these domains. Stable diffusion now offers enhanced efficacy in inpainting and outpainting while […]

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Using LoRA in Stable Diffusion

The deep learning model of Stable Diffusion is huge. The weight file is multiple GB large. Retraining the model means to update a lot of weights and that is a lot of work. Sometimes we must modify the Stable Diffusion model, for example, to define a new interpretation of prompts or make the model to […]

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Research

Advanced Techniques for Research with ChatGPT

Research has always been essential to human progress and has evolved tremendously over the past few years. With the advent of advanced technologies, new tools and techniques have emerged to conduct more efficient research and to stay at the forefront of knowledge. One such technology is ChatGPT, a large language model that uses deep learning […]

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Using ChatGPT as Your Personalized Teacher

Machine Learning and Data Science are the two most essential technologies in Industry 4.0. Data Science refers to extracting meaningful insights from data, while Machine Learning enables the computer to learn independently without being explicitly programmed. Mastering these fields requires a solid understanding of fundamental concepts, hands-on experience, and guidance from mentors. Traditional learning methods, […]

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Summarization

Mastering Summarization with ChatGPT

In this era of information overload, summarizing plays a crucial role in extracting meaningful information from large amounts of data. It is not only time-saving but also facilitates quick decision-making. However, manual summarization techniques of hiring human experts to read, analyze and summarize the data have become obsolete due to the exponential growth of data. […]

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