Articles About Machine Learning

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 generate a different style of painting by default. Indeed there are ways to make such an extension to existing model without modifying the existing model […]

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Generate Realistic Faces in Stable Diffusion

Stable Diffusion’s latest models are very good at generating hyper-realistic images, but they can struggle with accurately generating human faces. We can experiment with prompts, but to get seamless, photorealistic results for faces, we may need to try new methodologies and models.In this post, we will explore various techniques and models for generating highly realistic human faces with Stable Diffusion. Specifically, we will learn how to: Generate realistic images using WebUI and advanced settings. Use Stable Diffusion XL for photorealistic […]

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Prompting Techniques for Stable Diffusion

Generating pictures using Stable Diffusion in all cases would involve to submit a prompt to the pipeline. This is only one of the parameters, but the most important one. An incomplete or poorly constructed prompt would make the resulting image not as you would expect. In this post, you will learn some key techniques to construct a prompt and see how much a good prompt can create a good image. Let’s get started. Prompting Techniques for Stable DiffusionPhoto by Sangga […]

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Generate Realistic and Consistent Faces 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 generate a different style of painting by default. Indeed there are ways to make such an extension to existing model without modifying the existing model […]

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How to Create Images Using Stable Diffusion Web UI

Launching the Stable Diffusion Web UI can be done in one command. After that, you can control the image generation pipeline from a browser. The pipeline has a lot of moving parts and all are important in one way or another. To effectively command Stable Diffusion to generate images, you should recognize the widgets from your browser and know what they can do. In this post, you will learn the many components in the Stable Diffusion Web UI and how […]

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A Technical Introduction to Stable Diffusion

The introduction of GPT-3, particularly its chatbot form, i.e. the ChatGPT, has proven to be a monumental moment in the AI landscape, marking the onset of the generative AI (GenAI) revolution. Although prior models existed in the image generation space, it’s the GenAI wave that caught everyone’s attention. Stable Diffusion is a member of the GenAI family for image generation. It is known for its possibility to customization, freely available to run on your own hardware, and actively improving. It […]

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Brief Introduction to Diffusion Models for Image Generation

The advance of generative machine learning models makes computers capable of creative work. In the scope of drawing pictures, there are a few notable models that allow you to convert a textual description into an array of pixels. The most powerful models today are part of the family of diffusion models. In this post, you will learn how this kind of model works and how you can control its output. Let’s get started. Brief Introduction to Diffusion Models for Image […]

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Unfolding Data Stories: From First Glance to In-Depth Analysis

The path to uncovering meaningful insights often starts with a single step: looking at the data before asking questions. This journey through the Ames Housing dataset is more than an exploration; it’s a narrative about the hidden stories within numbers, waiting to be told. Through a “Data First Approach,” we invite you to dive deep into the process of data-driven storytelling, where every visualization, every statistical test, and every hypothesis forms a part of a larger narrative. This blog post […]

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The Da Vinci Code of Data: Mastering The Data Science Mind Map

Data Science embodies a delicate balance between the art of visual storytelling, the precision of statistical analysis, and the foundational bedrock of data preparation, transformation, and analysis. The intersection of these domains is where true data alchemy happens – transforming and interpreting data to tell compelling stories that drive decision-making and knowledge discovery. Just as Leonardo da Vinci masterfully blended scientific observation with artistic genius, we will explore how the art of storytelling in data science can illuminate insights with […]

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Finding Value with Data: The Cohesive Force Behind Luxury Real Estate Decisions

The real estate industry is a vast network of stakeholders including agents, homeowners, investors, developers, municipal planners, and tech innovators, each bringing unique perspectives and objectives to the table. Within this intricate ecosystem, data emerges as the critical element that binds these diverse interests together, facilitating collaboration and innovation. PropTech, or Property Technology, illustrates this synergy by applying information technology to real estate, transforming how properties are researched, bought, sold, and managed through the power of data science. From its […]

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