How to Generate ANY Image/Video of Yourself! (For Free)

Introduction

In today's digital age, the ability to create highly believable AI-generated images and videos of yourself is at your fingertips. With tools like Flux AI, Flux Gym, and Runway's Gen 3 Alpha, you can produce videos that accurately portray you in various scenarios—whether that’s driving a race car, riding on the back of a hippopotamus, or taking part in fantastical adventures. The results can be startlingly realistic, often reminiscent of the mind-bending visuals seen in films like "Everything Everywhere All at Once."

Getting Started with AI Image Generation

To create your personalized images, we’ll be utilizing Flux, a completely free and open-source text-to-image AI model known for producing impressive results compared to its contemporaries. However, a crucial element is required to implement your likeness in these images: Loras. Loras act as customizable expansion packs for AI models, capable of adding characters or styles to various images.

What are Loras?

Loras enable the AI to understand and generate an image of you, the user. To train a Lora of yourself, you’ll need to follow a straightforward procedure with Flux Gym, which provides an easy, one-click installation process.

Steps to Create Your Own Lora

Installation: Start by downloading Flux Gym and install it via Pinocchio. Once complete, Flux Gym will open in your browser.
Preparing Your Images: Gather a set of 17 to 20 clear images of yourself. These images should display a variety of angles and context to help create a more accurate model.
Naming and Setting Triggers: Once in Flux Gym’s interface, name your Lora (e.g., "Nate local V2") and set a unique trigger word (e.g., "Nate xv2"). This word helps avoid mixing your Lora with any common terms present in the Flux model.
Importing Images: Drag and drop the images you collected into the designated area in Flux Gym. By default, the software will caption them using your trigger word, which is all you need to do.
Training Your Lora: Click ‘train’. Keep in mind that this process could take several hours depending on your hardware capability.
Accessing Your Model: Once trained, your Lora file can be found in the output folder.

Using Your Lora in Flux

To utilize your newly created Lora in Flux, use the Forge UI. Set the Lora value to 1.5 for more pronounced results, input your trigger word, add a descriptive prompt (e.g., "an illustration of Nate"), and adjust the output size accordingly. After hitting 'Generate', your personalized image will result.

Bringing Your Images to Life

After creating your images, the next step is to animate them using tools like Runway, specifically the Gen 3 Turbo model. Import your image, ensuring you adopt a 16x9 aspect ratio. It’s worth noting that generations often yield better results without a specific prompt, although prompts can be useful for unique movements.

After setting the duration, simply click 'Generate' and witness the fantastic results as your image comes to life.

Conclusion

Congratulations! You now know how to create a realistic image of yourself using AI and animate it into a video. Stay tuned for more on advanced techniques such as generating dynamic 3D models and entire environments.

Keyword

AI-generated images
Flux AI
Flux Gym
Runway Gen 3 Alpha
Loras
Image generation
Anonymization
Import images
Video creation

FAQ

Q1: Can I use any images to train my Lora?
A1: It is recommended to use clear images that capture your face, and having a variety of angles helps create a more accurate model.

Q2: Is training a Lora free?
A2: Yes, using Flux Gym is a free method for training your Lora, though other platforms may charge a fee.

Q3: What if I don't have a powerful machine?
A3: Civit AI is another option that allows you to train Loras, but please note there is a cost associated with this method.

Q4: Are there any specific requirements for the image size in Runway?
A4: Yes, imported images must be in a 16x9 aspect ratio for best results.

Q5: How long does it take to train a Lora?
A5: The training time varies depending on your computer's hardware specifications but can take several hours.