OpenArt Tutorial: Train Your Own Model (AI Image Generation 2024)

In this tutorial, viewers learn how to train a custom fine-tuned model with OpenAI for AI image generation. The video covers four types of models: style, character, face, and object. For beginners, a recommended book is mentioned, authored by the co-founder of OpenArt. The focus is on the style model, where the presenter demonstrates how to create a unique illustration style by uploading 70 images with a common theme. Tips include ensuring quantity, consistency, and variety in the images. After training, the model is tested and adjusted to better capture the desired theme. The video also discusses character model creation, emphasizing the importance of variety in poses and angles to build a 3D understanding of the character. The presenter shares their experience creating an anime character named Aane and demonstrates how to upload images for a consistent character model or generate one from scratch.

Takeaways

• 🎨 **Style Model Introduction**: The video demonstrates how to create a custom illustration style using OpenAI's fine-tuning capabilities.
• 📈 **Quantity Matters**: When training a model, uploading a quantity of images between 4 to 128 is recommended for better results.
• 🔍 **Consistency is Key**: Ensure a common theme across the uploaded images to avoid confusing the model.
• 🌟 **Variety Wins**: Include a variety of subjects such as people, animals, and objects in the training images to teach the model about different styles.
• 🖼️ **Post-Training Inclusion**: After training, consider including additional subjects in the images to refine the model's understanding of the style.
• ⏱️ **Training Time**: The training process may take a few minutes, allowing time for other tasks before checking the results.
• 🖌️ **Common Issues**: Addressing issues like capturing a common theme, such as black and white, may require uploading more images or adjusting the prompt.
• 👥 **Character Model Tips**: For character models, having a variety of poses and angles is crucial for capturing features from all dimensions.
• 🧐 **Consistent Character Generation**: Ensure the character appears consistent across images; generated images can also be used if drawing is challenging.
• 📚 **Additional Resources**: The video suggests further resources, including a book and other videos, for more detailed guidance on character creation and model training.
• 🤖 **AI-Powered Characters**: Showcases the ability to create and customize characters like 'Aane' with OpenAI's technology, including clothing and settings.

Q & A

What are the four types of models that can be fine-tuned with OpenAI?

The four types of models that can be fine-tuned with OpenAI are style, character, face, and object.

What is the recommended approach for training a style model for the first time?

For first-time training of a style model, it is recommended to follow a model training book authored by experts, including the co-founder of OpenArt.

What are the three key tips to keep in mind when uploading images for training a style model?

The three key tips are: 1) Quantity - upload between 4 to 128 images; 2) Consistency - maintain a common theme in the images; 3) Variety - include different subjects such as people, animals, and objects.

What is the common issue encountered with the style model during training?

A common issue is that the model may not completely capture the intended common theme, such as black and white, which can be resolved by uploading more images or adjusting the prompt during generation.

How can you prompt the model to generate images closer to the desired style?

You can prompt the model by adding a description of the desired theme or style in the prompt to guide the model towards generating images that match your vision.

Why is it important to have a variety of poses and angles when training a character model?

Having a variety of poses and angles is important because it helps the model build a three-dimensional knowledge of the character, capturing features from all perspectives.

What is the significance of consistency in the images uploaded for character model training?

Consistency in the images ensures that the character appears uniform, which is crucial for the model to learn and replicate the character accurately across different settings.

How can one ensure that the character model is consistent when generated through OpenArt?

To ensure consistency, one can use a video that provides tips on generating consistent characters with OpenArt or upload images of the character that have been created or rendered elsewhere.

What are some examples of scenarios that can be generated using a trained style model?

Examples include illustrations of people arguing, co-working, walking with a folder, and scenarios with a cozy, work-themed tone.

What is the process for training a character model named 'Aane'?

The process involves selecting the character model type, naming the model (e.g., 'Fire G'), and uploading eight pictures of 'Aane' to train the model.

How can one use the trained character model to generate different settings or clothing for the character?

Once the character model is trained, you can prompt the model with different scenarios, settings, or clothing to generate images of the character in those contexts.

What is the recommended action if the initial training of the style model does not produce satisfactory results?

If the initial training does not yield the desired results, you can upload more images that closely align with the intended theme or adjust the prompt to better reflect the style you want to achieve.

Outlines

00:00

🎨 Customizing Your Illustration Style with AI

This paragraph introduces the concept of training a custom fine-tuned model with OpenAI, focusing on the style model. The key points include the importance of quantity (uploading 4 to 128 images), consistency (maintaining a common theme across images), and variety (including different subjects like people, animals, and objects). The process involves uploading images, selecting the 'style' model type, and training the model. The creator also discusses a common issue with capturing the intended theme and suggests solutions like uploading more images or adjusting the prompt. The result is a model that can generate illustrations in a chosen style, which can be embedded in articles or presentations to add a personal touch.

05:02

🧍‍ Creating a Character Model with Various Poses

The second paragraph emphasizes the creation of a character model with a focus on capturing a variety of poses and angles to build a three-dimensional understanding of the character. The narrator introduces an anime character named 'Aane' and explains how the model can be used to place her in different clothing or settings. The process involves selecting 'character' as the model type and uploading multiple images of the character to ensure consistency. The paragraph also mentions the option to use existing character drawings or to generate a character from scratch using OpenAI, with a suggestion to watch another video for tips on the latter.

Keywords

Custom Fine-Tuned Model

A custom fine-tuned model refers to a machine learning model that has been trained on a specific dataset to perform a particular task. In the context of the video, it means training an AI model to generate images in a specific style, character, face, or object. The process involves uploading a set of images that represent the desired style, and the model learns to replicate that style for new images.

Style Model

A style model is a type of AI model that is trained to recognize and replicate the visual style of a set of images. It is used in AI image generation to create illustrations or artwork that match a specific aesthetic. In the video, the creator is using a style model to generate illustrations that can be embedded in articles or presentations.

Quantity of Images

The quantity of images refers to the number of pictures that are uploaded for training the AI model. It is important because it affects how well the model can learn the desired style. The video suggests uploading as many images as possible, up to the maximum allowed, to ensure the model has enough data to learn from.

Consistency

Consistency in the context of training images means that there should be a common theme or style across all the images. This helps the AI model to understand what specific style it needs to replicate. The video emphasizes the importance of consistency to avoid confusing the model.

Variety

Variety in training images is important to show the AI model how the desired style can look with different subjects, such as people, animals, and objects. This helps the model to generalize the style across various scenarios. The video script mentions that variety is crucial for the model to learn the style effectively.

Training Images

Training images are the specific set of images that are used to teach the AI model the desired style or characteristic. These images are uploaded by the user and form the basis of the model's learning. The video discusses how to select and upload these images to train the model.

Character Model

A character model is an AI model that is trained to generate images of a specific character from different angles and poses. It is used when the goal is to create a consistent character that can be placed in various settings or scenarios. The video provides an example of creating an anime character named Aane.

Three-Dimensional Knowledge

Three-dimensional knowledge in the context of character models refers to the AI's ability to understand and replicate a character from multiple perspectives, as if it has a 3D understanding of the character's features. This allows the model to generate images of the character that are consistent and believable from any angle.

Poses and Angles

Poses and angles are critical when training a character model because they allow the AI to learn the character's features from different viewpoints. The video emphasizes the need for a variety of poses and angles to build a comprehensive understanding of the character for the AI model.

Model Training Book

The model training book is a recommended resource for individuals who are new to training AI models. It is authored by experts, including the co-founder of OpenArt, and provides guidance on the model training process. The video suggests this book for those who are trying to understand the basics of AI model training.

OpenArt

OpenArt is mentioned in the video as a platform or tool that is used for creating and training AI models, particularly for generating artwork and illustrations. The script discusses using OpenArt to generate consistent characters and styles, indicating it as a resource for artists and designers.

Highlights

Introduction to training a custom fine-tuned model with OpenAI, covering four types: style, character, face, and object.

Recommendation of a model training book by brilliant authors, including the co-founder of OpenArt.

Explanation of creating an illustration style model for generating custom illustrations.

Three tips for training the model: quantity, consistency, and variety in the uploaded images.

Importance of having a common theme in the images to avoid model confusion.

Strategy to include different subjects in the training images for a versatile style model.

Demonstration of uploading 70 images and selecting the 'style' model for training.

Discussion of a common issue with the style model not capturing the intended theme and solutions to address it.

Example of generating images in the trained style, including people, animals, and objects.

Presentation of a character model named 'Aane' with various poses and angles for 3D knowledge building.

Process of uploading eight pictures of 'Aane' for character model training.

Tips for ensuring character consistency in the uploaded images for better model training results.

Mention of a video on generating consistent characters using OpenArt for those who struggle.

Highlight of generating a character model from scratch or using existing drawings or renders.

Showcase of a few generated images of 'Aane' powered by OpenArt, demonstrating the training success.

Introduction of a cozy, work-themed color palette in the generated style.

Illustration of generating creative scenarios such as people arguing, co-working, and walking with a folder.

Example of generating an image with a light bulb to represent a person getting an idea.

Final thoughts on achieving closer results to the desired style through adjustments in the prompt.