• Runpod.io
• Find Your Celebrity Look-a-like
• Python Image Captioning Script
• Koyha SS Preset File
• If Running Locally:
  • Koyha SS
  • Automatic 1111

Do you hate the idea of spending a fortune on professional headshots? Want to create your own stunning portraits leveraging the power of AI? Today, you’re in luck! In this comprehensive guide, you’ll learn AI model training for headshots using SDXL with your own face, harnessing the capabilities of AI without breaking the bank.

Why Use AI for Professional Headshots?

Professional photographers and design services can cost anywhere from $25 to $155, or more. However, with advancements in artificial intelligence, you can create a high-quality headshot by training a model with your own images. If you have a decent computer or access to cloud resources, you could complete this task for less than a dollar.

Getting Started: What You’ll Need

1. High-quality images of yourself.
2. MS Paint or a similar image editing software.
3. RunPod.io account or a powerful local machine.
4. A little patience and creativity.

Step-by-Step Guide to Training Your Model

Step 1: Gather Your Images

Start by selecting several high-quality images of yourself. It’s crucial to have a diverse set that includes various angles and expressions. Remove any unwanted elements from the photos through cropping.

Step 2: Edit Your Images

Use a simple tool like MS Paint to edit the images. Exclude any additional subjects from the photos and adjust them to focus solely on the desired subject – you! Delete any that aren’t high quality or have things obscuring your face (such as sunglasses)

Step 3: Identify Your Celebrity Look-Alike

Utilize a service such as StarByFace to find a celebrity that resembles you. This step will help the AI model understand the look you’re aiming for, making the training process more efficient. It’s much easier to “improve” the training of a model based on something that’s in its knowledge base already rather than training from scratch. Think if someone tells you about an ‘WzzzYi’. You have no idea what that is, but if you are then told its similar to an BMW car, you instantly have something in your mind to base your predictions from, AI works in the same way.

Step 4: Caption Your Images

Describing each image effectively is essential for training the AI. Use tools like GPT Vision to generate descriptive captions or write them manually, focusing on details like posture, clothing, and surroundings. Here’s an example of a caption we could use, try to be as descriptive as possible.

man sitting at an outdoor table, short hair, white t-shirt, beer glass on table, daytime, casual setting, neutral expression, textured wall background, close-up shot

Here is the python script I use in the video to quickly generate captions for all the images, you don’t need to use this, but it can save you time:

import os
import base64
import requests

# OpenAI API Key
api_key = "sk-SET_ME_WITH_YOUR_API_KEY"


# Function to encode the image
def encode_image(image_path):
    with open(image_path, "rb") as image_file:
        return base64.b64encode(image_file.read()).decode("utf-8")


def caption_image(image_path):
    # Getting the base64 string
    base64_image = encode_image(image_path)
    headers = {"Content-Type": "application/json", "Authorization": f"Bearer {api_key}"}
    payload = {
        "model": "gpt-4-vision-preview",
        "messages": [

            {
                "role": "user",
                "content": [
                    {
                        "type": "text",
                        "text": "I want to create a similar image to this using SDXL (stable diffusion), what description should I use? Reply with only input I would need, separating with commas.",
                    },
                    {
                        "type": "image_url",
                        "image_url": {"url": f"data:image/jpeg;base64,{base64_image}"},
                    },
                ],
            }
        ],
        "max_tokens": 300,
        "temperature": 0,
    }
    response = requests.post(
        "https://api.openai.com/v1/chat/completions", headers=headers, json=payload
    )

    response_json = response.json()
    if "error" in response_json:
        print("Error:", response_json["error"])
        return None

    result = response_json["choices"][0]["message"]["content"]
    print(result)
    return result


def main():
    # NOTE CHANGE THIS PATH TO WHERE YOUR IMAGES ARE
    folder_path = "C:\\kohya_ss\\caption_me\\me"
    all_images = os.listdir(folder_path)
    for image in all_images:
        if image.endswith(".txt"):
            continue
        print("Captioning", image)
        caption = caption_image(os.path.join(folder_path, image))
        if caption is None:
            continue
        with open(os.path.join(folder_path, f"{image}.txt"), "w") as f:
            f.write(caption)
    print("Done")


if __name__ == "__main__":
    main()

Step 5: Decide Between Local Training or Cloud Resources

Depending on your computer’s power, you can run the training locally or use a cloud service. For example, RunPod.io offers a cost-effective solution, providing you with virtual access to powerful hardware.

Step 6: Set Up Your Training Environment

On RunPod.io, you can set up an environment that includes a robust GPU and ample RAM to facilitate the AI training. Select the appropriate templates and deployment options based on your preference and budget.

Step 7: Data Set Preparation

Upload your images to the training platform and specify your celebrity look-alike. You can use the Jupyter notebook to make this easier. This will create a tailored training set for your AI model. Ensure your chosen celebrity is featured within the stable diffusion model’s data for effective results.

Step 8: Train Your Model

Using Koyha SS, first we want to set up our folders. Under the LORA tab, click on data preperation, in here we want to use our celebrity name and class name we found earlier:

After you’ve done this, use the preset file linked above and set up the folder structure. I go through this quite thoroughly in the video if you are struggling.

Everything should be mostly done for you thanks to that preset file. Then initiate the training process, monitor the progress (“tail -f /workspace/logs/koyha_ss.log” in Jupyter console tab), and adjust settings if necessary. By the end of this process, you should have a unique AI model that can generate professional headshots with your likeness.

Now Use Your Model

Import the Lora into the Automatic 1111 Stable Diffusion GUI (it lives under stablediffusion-ui/models/Lora) and now you can include it in your generations. You’ll find any trained LORA’s you have under the LORA tab, although if you had none to begin with you may need to restart Automatic 1111 for it to pick up, annoyingly it has no refresh button unless it had 1 file in there to begin with.

Advantages of Using AI for Professional Headshots

• Cost-Effective: Tremendous savings compared to hiring professional services.
• Personalization: Greater control over how you want to be presented.
• Scalability: Ability to create multiple headshots without additional costs.
• Accessibility: Do it yourself, anytime, anywhere.
• Future-Proof: No need to worry about hardware being outdated; cloud services continuously upgrade their offerings.

Running Locally vs. Using Cloud Resources

If you prefer running the training locally, ensure your machine has the necessary specifications. Alternatively, cloud resources like RunPod.io offer great flexibility and often come pre-configured, saving you the hassle of setup.

Conclusion

Training an AI model to create your own professional headshots is both feasible and accessible. With a fraction of the cost and a bit of technical know-how, you can produce high-resolution images that fit your personal or professional needs. Whether you opt for local training or cloud resources, AI opens up a world of possibilities for personalized headshot creation. Give it a try, and you might just surprise yourself with the results!

With these steps, you’re ready to embark on a cost-saving adventure in AI-generated imagery. Unleash your creativity, learn more about AI, and step up your personal branding game all at the same time!

What is an AI-Based Content Generator?

An AI-Based Content Generator is a tool that can help you create custom and unique content quickly and easily. With an AI-Based Content Generator, you can generate articles on a wide range of topics, from business to technology to lifestyle. Plus, because the generator automatically generates article content based on your inputs, it is easy to get started and produce high quality content without having to write any specific articles yourself.

If you’re looking for ways to streamline your content production process or want to produce more unique and customized content, an AI-Based Content Generator may be the right tool for you.

Benefits of Using an AI-Based Content Generator

When it comes to creating content, there are a few things to keep in mind. First and foremost, make sure that your content is engaging and interesting to read. Secondly, make sure that your content is well-organized and easy to follow. And finally, make sure that your content is unique and customizable. By following these tips, you can create engaging and customized content that will stand out from the rest.

How to Use an AI-Based Content Generator

When creating AI-generated content, it is important to consider the different types of audiences you are targeting. For example, if you are writing for a business website, you may want to focus on providing information that is relevant to the company’s customers. On the other hand, if you are writing for a blog about a hobby or interest, you may want to write about topics that are of interest to you and your audience.

Another important consideration when creating AI-generated content is how to make your content easy to read and navigate. You want your readers to be able to find the information they are looking for quickly and easily. One way to do this is to use clear and concise language. Additionally, you may want to include headings and subheadings to help organize your content.

Finally, it is important to consider how you will promote your AI-generated content. You may want to create a blogroll or add links to your article in social media posts. Additionally, you can use SEO techniques (such as keyword placement) to help improve the visibility of your content.

Tips for Optimizing Your AI-Generated Content

Utilize a Variety of Sources for Content Ideas

When using an AI-based content generator, it is important to be mindful of the types of content that will be generated. For example, if you are looking to generate blog posts, it is important to include a variety of topics and angles. Additionally, it is important to use a variety of sources for content ideas. This way, you can ensure that your content is both original and engaging.

One way to increase the quality of your AI-generated content is to utilize a variety of sources for content ideas. This can include articles from other websites, books, and even your own thoughts. By incorporating a variety of sources, you can ensure that your content is both original and engaging. Additionally, by using a tool like an AI-based content generator, you can save a lot of time and effort.

Incorporate Relevant Keywords

If you’re looking to create high-quality, engaging content that is powered by artificial intelligence (A.I.), there are a few things you can do to optimize your results.

First, make sure to utilize a variety of sources for content ideas. This will help you find topics that are both interesting and relevant to your audience. Additionally, be sure to include keywords throughout your content in order to improve its ranking on search engines.

Finally, be sure to provide helpful tips and advice for your readers. This will help them get the most out of your A.I.-generated content.

Use Natural Language Processing to Refine Content Quality

When incorporating AI into your content marketing strategy, it’s important to remember that not all users will be familiar with the technology. To ensure your content is both engaging and understandable, consider using natural language processing (NLP) to improve quality. NLP can help identify errors in grammar and pronunciation, as well as boost comprehension by identifying key concepts. By automating this process, you can ensure that all of your content is of the highest quality.

Leverage AI-Generated Content for Automated Distribution

There are a few things you can do to optimize your AI-generated content for automated distribution. First, make sure the text is well-written and error-free. This will help ensure that your content is easy to read and search through. Additionally, make sure the text is relevant to your target audience. By tailoring your content to specific interests and demographics, you can increase the chances that people will find and read it. Finally, make use of AI-generated images and videos to add visual interest and dimension to your content. By using these tools, you can create engaging and informative articles that will capture the attention of your readers.

Common Challenges with AI-Generated Content

There are a few things to keep in mind when creating AI-generated content. First, make sure to use the right keywords. Second, be sure to tailor your content to the specific audience you’re targeting. Finally, make sure your content is easy to read and search engine friendly. By following these tips, you’ll be able to create high-quality, unique AI-generated content that will get your website noticed.

Best Practices for Creating Unique and Customizable A.I. Articles

Some common challenges with AI-generated content include making sure the articles are well written and accurate, as well as ensuring that they are user friendly. To create effective and user-friendly AI-generated content, it is important to follow certain best practices. For example, make sure your article is formatted correctly and that each paragraph flows smoothly from one to the next. Additionally, use keywords throughout your article to help search engines index and rank it higher. Finally, be sure to provide helpful tips for optimizing your own AI-generated content in the final section of this guide.

AI-based content generators provide a valuable tool for busy entrepreneurs and marketers looking to quickly create unique, customized articles. By utilizing best practices like optimizing keywords and experimenting with different formats, you can further maximize the impact of your AI-generated content so it stands out from the crowd. If this article got you thinking about how an AI-content generator could help take your business to the next level, be sure to check out our other posts for more helpful tips on using artificial intelligence in marketing!