Apex Legends Wattson Create Custom

Welcome to our Apex Legends Wattson Create Custom guide. In this guide, we will be teaching you how to use NovelAI to generate anime artwork of Wattson, the best character in the game.

Apex Legends Wattson Create Custom

In this guide, we will be teaching you how to use NovelAI to generate anime artwork of Wattson, the best character in the game. We know that there are people who have a hard time finishing the Apex Legends game. If you are one of those who find it difficult to finish the game, let’s take you to our Apex Legends guide.

Stable Diffusion

Stable Diffusion is a technique used to generate images by sampling from a learned distribution of image patches. The basic idea is to start with a random noise image and repeatedly apply a set of diffusion steps to it, in order to “smooth out” the noise and produce a realistic-looking image. Here is a high-level overview of the process:

1. Collect a dataset of images that you want to model. This could be a collection of photographs of a particular subject, such as animals or landscapes.
2. Divide each image into a grid of small image patches (e.g., 8×8 pixels).
3. Train a deep neural network to predict the probability distribution of image patches in the dataset. This can be done using a variant of a generative model such as a Variational Autoencoder (VAE) or a Generative Adversarial Network (GAN).
4. Use the trained model to sample a random noise image and initialize a diffusion process. The noise image should have the same dimensions as the image patches used in the training dataset.
5. Iteratively apply a set of diffusion steps to the noise image. Each step should involve sampling a new image patch from the learned distribution and blending it into the current image using some averaging technique (e.g., simple averaging or weighted averaging).
6. Repeat the diffusion steps for a sufficient number of iterations, or until the generated image reaches a desired level of realism.
7. Save the generated image or display it to the user.

Novel AI

NovelAI is an artificial intelligence system developed by OpenAI that has been used to generate a wide range of content, including anime images. Here is a more detailed description of the process used by NovelAI to generate anime images:

1. Collect a dataset of images that you want to model. This could be a collection of anime images or a combination of anime and real-world images.
2. Preprocess the images to standardize their size and format.
3. Train a deep neural network on the dataset using a variant of a generative model, such as a Variational Autoencoder (VAE) or a Generative Adversarial Network (GAN). The specific choice of model will depend on the characteristics of the dataset and the desired output.
4. Use the trained model to generate new anime images by sampling from the learned distribution of image patches. This can be done using a technique such as Stable Diffusion, which involves iteratively applying a set of diffusion steps to a random noise image in order to smooth out the noise and produce a realistic-looking image.
5. Save the generated images or display them to the user.

It’s worth noting that generating high-quality anime images is a challenging task that requires a large dataset and a powerful model. It may also require additional post-processing steps to fine-tune the generated images and improve their realism.

Prompts

While it is possible to go on other websites such as Gel/Danbooru, Pixiv and Sadpanda to get great fanart to gather our dataset, most of the images are lackluster and not high quality enough, and training a image dataset takes time and effort. Just simply using NovelAI which is trained on anime artwork is good enough.

Now let’s generate some artwork!
The easiest way to test if your NovelAI setup is functioning properly is to attempt replicating a result from NovelAI itself:
For this example we’ll be using best girl:

• Sampler: Euler_ancestral
• Seed: 1111
• CFG: 12
• Resolution: 512×768
• Prompt: masterpiece, best quality, highly detailed, Wattson (Apex Legends), detailed eyes, blonde, pixie haircut
• Negative Prompt: lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts,signature, watermark, username, blurry, artist name

Note: You may see very slight variation if you are using an optimization such as lowvram or xformers, but it should still be 95% similar

Congrats! You just made your own anime art! Here are some prompts to better refine the artwork.

Here are my favorite examples:
Prompt: highly detailed, Wattson (Apex Legends), detailed eyes, titanfall, cyberpunk city, white bodysuit, orange and blue puffy jacket, pixie haircut, blonde

My attempts at Thunder Kitty Wattson:

Let’s try Wraith!

Obviously most of the art is still a lot be desired as they look quite similar but AI art will never come close to identically looking the same compared to actual artists posting on Twitter. Perhaps with enough training and manually gathering image-sets from a whole lot of sources we will get closer.

Guess we’ll have to return to Fate Doujins, Overwatch SFMs and Loba Futanari 3D renders for our fair share of the girlfriend experience.

Hope you enjoyed this guide!