OpenArt Tutorial: Train Your Own Model (AI Image Generation 2024)
TLDRThis tutorial video guides viewers on how to train a custom fine-tuned model using OpenAI for AI image generation. It introduces four types of models: style, character, face, and object, and focuses on the style model for creating a unique illustration style. The presenter shares three key tips for training: ensuring a sufficient quantity of images, maintaining consistency in the theme, and providing variety in the subjects. The video demonstrates the training process, uploading 70 images, and adjusting the model to achieve a black and white theme. It also covers character model training, emphasizing the importance of diverse poses and angles to build a 3D understanding of the character. The presenter showcases the creation of an anime character named Aane, and discusses how to generate consistent characters using OpenAI, either by uploading existing images or creating them from scratch.
Takeaways
- 🎨 **Custom Model Training**: You can train a custom fine-tuned model with OpenAI in various categories like style, character, face, and object.
- 📚 **Recommended Reading**: For beginners, a model training book by brilliant authors, including the co-founder of OpenArt, is highly recommended.
- 🖌️ **Style Model Introduction**: Start by creating your own illustration style that can be used to generate images for articles, presentations, or to add fun to work or school.
- 📈 **Quantity Matters**: When training with OpenAI, you can upload 4 to 128 images, so maximize the number to improve the model.
- 🔍 **Consistency is Key**: Ensure there's a common theme among the images you upload to avoid confusing the model.
- 🌟 **Variety Wins**: Include a variety of subjects like people, animals, and objects in the training images to define the style across different subjects.
- ⚙️ **Model Selection**: After uploading images, select the 'style' model type to start the training process.
- ⏱️ **Training Time**: Training takes a few minutes; it's a good time to take a break and come back to a trained model.
- 🖋️ **Theme Adjustment**: If the model doesn't capture the desired theme, upload more images or adjust the prompt during generation.
- 👥 **Character Model Tips**: For character models, include a variety of poses and angles to help the model build a 3D knowledge of the character.
- 🧑🎨 **Consistent Character Creation**: Ensure characters are consistent, and if needed, use OpenArt to generate consistent characters.
- 📁 **Upload Existing Characters**: If you've created characters elsewhere, you can upload those images to make a functional model.
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 when training a model for the first time?
-When training a model for the first time, it is highly recommended to use a model training book, which is brought to you by some brilliant authors, including the co-founder of OpenArt.
What are the three tips to keep in mind when uploading images for a style model?
-The three tips to keep in mind are: 1) Quantity - you can upload four to 128 images, so maximize the number of images; 2) Consistency - there should be a common theme to the images; 3) Variety - include different subjects like people, animals, and objects to show the model how the style should look with various subjects.
What happens if the model does not capture the common theme during training?
-If the model does not capture the common theme, you need to upload even more images that represent the theme or adjust your prompting to include more of the desired theme when generating images.
How long does it usually take for the model to finish training?
-The model training usually takes a few minutes. It is suggested to do something else while the model trains and then return when it's ready.
What is the importance of having 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 to capture the features of the character from all angles, building a three-dimensional knowledge around the character.
What is the name of the anime character created in the tutorial?
-The name of the anime character created in the tutorial is Aane.
How many pictures of Aane were uploaded for the character model training?
-Eight pictures of Aane were uploaded for the character model training.
What is the suggested approach if you struggle to generate consistent characters?
-If you struggle to generate consistent characters, you can either upload images of a character created or rendered elsewhere to make it a functional model, or you can check out a video that provides tips on generating a consistent character from scratch.
What is the recommended method to improve the model's understanding of the desired style?
-To improve the model's understanding of the desired style, you can upload more images that closely represent the style or adjust the prompt to better reflect the style when generating images.
How can you make your work or school presentations more fun using the style model?
-You can make your work or school presentations more fun by generating illustrations in a custom style that you have trained the model to recognize, and then embedding these illustrations into your presentations.
What is the significance of the 'style' in the context of the AI image generation tutorial?
-In the context of the AI image generation tutorial, 'style' refers to a specific visual aesthetic or artistic technique that the user wants the model to learn and replicate. This could be a particular illustration style, color palette, or design motif.
Outlines
🎨 Custom Illustration Style Model Training with OpenAI
This paragraph introduces the process of training a custom illustration style model using OpenAI. It emphasizes the importance of quantity, consistency, and variety in the images uploaded for training. The video demonstrates how to create a unique illustration style by uploading a set of images and fine-tuning the model to generate illustrations that match this style. The creator shares a common issue encountered with the model not fully capturing the intended theme and suggests solutions such as uploading more images or adjusting the prompt to include the desired theme. The paragraph concludes with examples of generated illustrations and a transition to discussing character model generation.
🧍♀️ Generating a Consistent Character Model
The second paragraph focuses on generating a good character model, highlighting the significance of having a variety of poses and angles to capture the character's features from all perspectives. The video presents an example of an anime character named Aane, which can be placed in different clothing or settings. It explains the process of selecting the 'character' model type and uploading multiple pictures to ensure consistency. The paragraph also mentions the option to use images generated on OpenAI or to upload existing character drawings for training a functional model. It concludes by pointing viewers to another video for tips on generating a consistent character from scratch.
Mindmap
Keywords
💡Fine-tuned model
💡Illustration style
💡Quantity of images
💡Consistency
💡Variety
💡Training images
💡Model training book
💡Style model
💡Character model
💡Three-dimensional knowledge
💡OpenArt
Highlights
The video tutorial introduces how to train a custom fine-tuned model with OpenAI, offering four types: style, character, face, and object.
For beginners, a recommended model training book is available, co-authored by the co-founder of OpenArt.
The style model is introduced first, focusing on creating a unique illustration style for embedding in articles or presentations.
Three key tips for training the style model are quantity, consistency, and variety in the uploaded images.
The model should be trained with images that have a common theme to avoid confusion.
Variety in the training images is crucial to teach the model different subjects and styles.
The presenter demonstrates training a style model by uploading 70 images and selecting the 'style' model type.
An issue encountered was the model not fully capturing the intended black and white theme, suggesting the need for more images or clearer prompts.
Adjusting the prompt can help achieve closer results to the desired style.
Examples of generated images include people arguing, co-working, walking with a folder, and a light bulb idea, showcasing the model's versatility.
For character models, having a variety of poses and angles is crucial to capture features from all perspectives.
The character model is demonstrated with an anime character named Aane, which can be placed in various clothing and settings.
Uploading eight consistent pictures of the character Aane begins the character model training.
Generated characters can be made consistent by using OpenArt tools, as shown in another video.
The video also discusses how to create a character model from scratch or by uploading existing character images.
The final generated images demonstrate the character model's ability to produce a range of scenarios and themes.
The tutorial provides practical applications for enhancing work or school presentations with custom AI-generated illustrations and characters.