Stable Diffusion Resources for Machine Learning Engineers
This post contains resources for ML engineers:
How to Randomly Set a Part of Prompt from the List of Predefined Words in Fooocus: Wildcard Feature
Imagine you want to generate an image with a pet for the ad of your business (e.g. a pet food store), but you are not really sure what animals look the best for the particular image you have in mind. You decided that you want to pick from: You want to use a prompt: So …
How to Use a Refiner in Fooocus
The Refiner is a component introduced in SDXL to enhance the quality of generated images. The diagram below illustrates the Refiner’s role in the SDXL framework [1]. In the absence of the Refiner, Fooocus employs the conventional image generation pathway established in SD 1.5. When the Refiner is incorporated, it processes the latents (the denoised …
How to Fix a Plasticky Face Generated by BARD, Bing or DALL-E in Automatic1111
Bard, Bing Image Creator, and DALL-E are exceptional tools for image generation. However, when it comes to creating realistic human faces, they often yield results with a plastic-like appearance in the skin texture. This tutorial provides a comprehensive guide on how to address this issue using Automatic1111, aiming to enhance the skin texture for a …
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Mastering Emotional Expressions for Anime Models in Fooocus: A Prompt Guide
Have you ever noticed how capturing an emotion just right can bring a static image to life? This tutorial takes a deep dive into how to express a wide range of emotions on the character’s face, using various prompts to make characters feel alive. Keep in mind, showing emotion usually involves more than just the …
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Troubleshooting Stable Diffusion: How to Fix Kaleidoscope-Like Image Outputs
Problem Generated images look like a kaleidoscope. If the image is supposed to contain a single person, the generated image contains multiple people, heads or bodies. Solution This issue often arises from high image resolution. To determine if resolution is the problem, initially reduce the image dimensions to 512 pixels wide by 512 pixels high. …
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How to Control Viewing Angles for Anime Images in Fooocus: A Prompt Guide
If you’re working with a model designed to generate anime images, chances are that it supports adjusting viewing angles. Mastering control over these angles can significantly enhance how well the final image aligns with your creative vision. Let’s explore how to use this feature effectively. Overview We will discuss tags that control the viewer’s position. …
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How to use a custom model and a LoRA in Fooocus in Google Colab
Have you discovered an intriguing model or LoRA you’re eager to experiment within Google Colab, but find yourself uncertain about the setup process? This guide is designed to demystify the steps, taking you through the setup process with ease. When it comes to utilizing external models in Google Colab, there are generally two situations you …
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How to use Fooocus in Google Colab
Fooocus is one of the best software packages to use Stable Diffusion. In this tutorial, we will going over steps to use Fooocus on Google Colab. Steps are very straightforward. Let’s dive in. Steps In order to follow these steps, you need to have a Google account (such as a Gmail account). If you haven’t, …
Why does Fooocus seem to refuse to generate anime images? – A New User’s Guide
This post is for a new user who just started using Fooocus and cannot get Fooocus to generate anime images. We will be using Google Colab as an example, but the solution for the local environment is the same. Steps to troubleshoot If you are using a Google Colab notebook (https://colab.research.google.com/github/lllyasviel/Fooocus/blob/main/fooocus_colab.ipynb) that is listed on …
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