For a more realistic-looking image, you could describe a photograph. This time, your description might include references to elements such as lighting, time of day, angle, and distance (for example, "close-up," "low camera angle") or technical elements such as camera type, lens, and so ...
Prompt: concept art <lora:custom_lora_model:1> aallzz 3D profile picture avatar, vector icon, vector illustration, vector art, realistic cartoon character, professional attire, digital artwork, illustrative, painterly, matte painting, highly detailed Negative Prompt: photo, ...
In this blog post, I'll walk you through 3 key techniques to start generating hyper-realistic human faces using Stable Diffusion. First, we'll cover the fundamentals of prompt engineering to help you generate images using the base model. Next, we'll explore how upgrading to the Stable Diffus...
You might get a cartoon, an oil painting, or a sketch. So, it’s important to include a couple of hints to the AI to match the aesthetic of your application.I found that using an array with several different options allowed me to easily toggle off various features. In fact, in my ...
Now we get a pencil sketch. Lets use one of my pencil and ink sketches as the reference. Now we get the cat, but in the style of pencil and ink. Let’s clear the reference and choose a movement. Steampunk See the cool round gages oin the background. ...
In this article, the idea of using a face design or sketch to make a photo of a face is presented. Applications of the technology include character...
Recently, realistic image generation using deep neural networks has become a hot topic in machine learning and computer vision. Such an image can be generated at pixel level by learning from a large collection of images. Learning to generate colorful car
Create personalized AI generated images, professional headshots, and LinkedIn photos from text prompts. Generate stunning, photo-realistic pictures with our AI photography generator.
The first part creates a Docker container image with the necessary framework and configuration for the training container. The second part uses the training container to perform model training on your dataset, and outputs a fine-tuned custom Low-Rank Adaptation (LoRA) model. LoR...