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How to Use Stable Diffusion Effectively

Published: May 12, 2024 03:58

From the prompt to the picture, Stable Diffusion is a pipeline with many components and parameters. All these components working together creates the output. If a component behave differently, the output will change. Therefore, a bad setting can easily…

More Prompting Techniques for Stable Diffusion

Published: May 5, 2024 15:16

The image diffusion model, in its simplest form, generates an image from the prompt. The prompt can be a text prompt or an image as long as a suitable encoder is available to convert it into a tensor that the model can use as a condition to guide the…

Using OpenPose with Stable Diffusion

Published: May 4, 2024 03:24

We have just learned about ControlNet. Now, let’s explore the most effective way to control your character based on human pose. OpenPose is a great tool that can detect body keypoint locations in images and video. By integrating OpenPose with Stable…

Using ControlNet with Stable Diffusion

Published: April 28, 2024 03:21

ControlNet is a neural network that can improve image generation in Stable Diffusion by adding extra conditions. This allows users to have more control over the images generated. Instead of trying out different prompts, the ControlNet models enable users…

Inpainting and Outpainting with Stable Diffusion

Published: April 24, 2024 18:20

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…

Generate Realistic Faces in Stable Diffusion

Published: April 20, 2024 14:32

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…

Using LoRA in Stable Diffusion

Published: April 18, 2024 13:27

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…

Prompting Techniques for Stable Diffusion

Published: April 14, 2024 19:20

In all cases, generating pictures using Stable Diffusion would involve submitting 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…

How to Create Images Using Stable Diffusion Web UI

Published: April 11, 2024 18:20

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…

A Technical Introduction to Stable Diffusion

Published: April 6, 2024 14:33

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,…