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How to Use Stable Diffusion Effectively

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 ruin your picture. In this post, you will see: How the different components of the Stable […] The...

Sun May 12, 2024 07:29
More Prompting Techniques for Stable Diffusion

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 generation process. Text prompts are probably […] The post More Prompting Techniques for Stable Diffusion...

Sun May 5, 2024 19:25
Using OpenPose with Stable Diffusion

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 Diffusion, we can guide the AI in generating images that match specific poses. In […] The post Using...

Sat May 4, 2024 07:10
Using ControlNet with Stable Diffusion

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 to generate consistent images with just one prompt. In this post, you will learn how to […] The...

Mon Apr 29, 2024 07:15
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...

Fri Apr 26, 2024 06:06
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 […] The post Using LoRA in Stable Diffusion appeared...

Sat Apr 20, 2024 20:59

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