Tensor Art Tutorial 03 -Training FLUX Models For Free And Win Wu Kong!

UX Bootcamp
2 Sept 202408:45

TLDRDiscover how to train AI models using Tort Art in this tutorial, which includes a competition with exciting prizes like the latest RTX GPU and cash rewards. Learn to upload images, set trigger words, and adjust training parameters for optimal results. The tutorial guides you through the process of training, previewing, and publishing your AI models on Tort Art, offering a chance to win the 'Wu Kong' game changer in 2024.

Takeaways

  • 🌟 Training AI models is possible on the Tort Art platform, which also hosts competitions with exciting rewards like the latest GPU RTX and cash prizes.
  • 🏆 Winning the first prize in the competition could secure you an unreleased GPU, while second and third place winners earn money, and positions four to ten receive $60 each.
  • 🎮 The competition in 2024 is a game-changer, and the tutorial encourages participation to not miss out on the opportunities.
  • 🖼️ To train a model, users need to upload images that have consistency in character or style, such as a series of images of oneself or a particular animated style.
  • 🔄 The training process involves duplicating images and using trigger words that the model will associate with the images during training.
  • 💡 Customizing the training involves selecting the FLUX model and adjusting parameters like learning rate and restarts to optimize training speed.
  • 🛠️ Professional mode offers more values to adjust for fine-tuning the training process.
  • ⏱️ Training typically takes about 3 hours, after which users can preview and select the best model version.
  • 📁 Users can download the trained model for local use or publish it on Tort Art for others to access.
  • 🎨 The tutorial demonstrates training two different models with distinct styles, showcasing the versatility of the platform.
  • 📢 Sharing your trained models on social media or other platforms is recommended to increase visibility and engagement.

Q & A

  • What is the prize for winning the first place in the competition mentioned in the script?

    -The prize for winning the first place is the latest GPU RTX, which is not yet released.

  • What are the rewards for the second and third place winners in the competition?

    -The second and third place winners will receive monetary rewards.

  • What does winning the fourth to tenth place in the competition get you?

    -Winning the fourth to tenth place will get you $60 each.

  • What is the significance of 'Black Wu Kong' in the context of the script?

    -'Black Wu Kong' is described as a game changer in 2024, suggesting it is a significant or innovative feature or product.

  • How long does it typically take to train an AI model using the process described in the script?

    -It typically takes about 3 hours to train an AI model using the process described.

  • What are the requirements for the images used to train the AI model in the script?

    -The images must have consistency in terms of a certain character or style. If using real person's images, a bunch of images of that person is needed. For animated styles, there should be a certain style consistency.

  • What is the purpose of 'trigger words' in the training process described?

    -Trigger words are used to prompt the AI model to generate images based on specific characteristics or styles when those words are used in the prompts.

  • What does 'flux one' refer to in the context of the training process?

    -'Flux one' refers to the base model that the AI training is based on, which will be used if the images don't cover certain parts of the prompts.

  • What is the benefit of using 'professional mode' during the training process?

    -Using 'professional mode' provides more values to adjust, such as learning rate and restarts, which can help speed up the training process.

  • How can you use the trained AI model after it's ready?

    -After the model is trained, you can check preview images to find the best version, download it for use in your local stable diffusion or confy UI, or publish it to T Sword Art.

  • What are the steps to publish a trained AI model on T Sword Art?

    -To publish a trained AI model, you need to click 'publish', create a new project, choose the correct category or channel, type in the details, and then click 'publish successfully'. After that, you can add additional information and upload it.

Outlines

00:00

🤖 Training AI Models with Sword Art Online

The speaker introduces a competition on the Sword Art Online (SAO) platform, where participants can train AI models and win prizes such as the latest GPU RTX or cash. They guide viewers on how to upload images for AI training, emphasizing the need for consistency in character or style. The process involves selecting images, setting trigger words, choosing a custom model based on 'flux one', and adjusting training parameters like learning rate. The tutorial also covers how to preview, select, and publish the trained model on the SAO platform, as well as how to share it on social media for increased visibility.

05:01

🎨 Creating a Disney-Style AI Model with SAO

In this segment, the speaker demonstrates how to create an AI model using the early 60s Disney style, inspired by the game Cuphead. They show the process of uploading images, setting up trigger words, and customizing the training process. After training, they discuss the different variations of the model and how to download or publish them. The speaker also guides on creating a new project, adding tags, and filling in model details for publication. The tutorial concludes with tips on how to share the created model on various platforms to promote it and engage with the community.

Mindmap

Keywords

💡AI model

An AI model refers to a system designed to mimic human intelligence processes, particularly in the context of machine learning. In the video, training an AI model involves using a set of images to teach the model to recognize and replicate certain features or styles. The script mentions training AI models in Tort Art, which is likely a platform for creating and training AI models.

💡Tort Art

Tort Art appears to be a platform or tool mentioned in the script where users can train AI models. The video tutorial guides viewers on how to use Tort Art to train their models, suggesting it offers features like online training and the ability to upload images for model training.

💡Online training

Online training in the context of the video refers to the process of teaching AI models through the internet, likely using cloud computing resources. The script describes an 'online training' feature within Tort Art, where users can upload images and train their AI models remotely.

💡GPU RTX

GPU RTX stands for Graphics Processing Unit Ray Tracing eXtended, which is a type of high-performance graphics card. In the video, it is mentioned as a prize for winning the first place in a competition, indicating that it is a sought-after and valuable piece of hardware for AI and graphics processing.

💡Trigger Words

Trigger words are terms or phrases that are used to prompt a specific response or action. In the context of the video, trigger words are used to instruct the AI model to generate images based on the training it has received. The script explains the importance of typing trigger words to activate the model's trained responses.

💡Stable Diffusion

Stable Diffusion is a term that likely refers to a specific version or type of AI model, possibly used for image generation. The script suggests that users can train their models even using their local version of Stable Diffusion, indicating it's a software or technology utilized in AI image training.

💡Consistency

Consistency in the video script refers to the uniformity or similarity in the images used to train the AI model. For effective training, the images must maintain a consistent style or character features. The script emphasizes the need for consistency when uploading images for model training.

💡Flux One

Flux One seems to be a specific model or version of an AI model mentioned in the script. It is used as a base for training, suggesting that it provides a foundation upon which new models can be developed. The video describes selecting Flux One as the base model for training.

💡Professional mode

Professional mode is a setting or feature within Tort Art that provides advanced options for training AI models. The script mentions clicking on 'professional mode' to access more values for adjustment, such as learning rate, which can help in fine-tuning the training process.

💡Publish

In the context of the video, publishing refers to the act of making the trained AI model available on the Tort Art platform. After training and selecting a variation of the model, users can choose to publish it, making it accessible to others, as illustrated when the tutorial guides through publishing a model and setting download permissions.

💡Variations

Variations in the video script denote the different versions or styles of the AI model that can be generated from the training process. The script describes choosing from 10 different variations of the trained model, indicating the flexibility in the output of the AI training.

Highlights

Training AI models is possible in Tort Art.

Competitions are held with exciting prizes like the latest GPU RTX.

Winning the competition can earn you money or the game Black Wu Kong.

A tutorial is provided on how to train your AI model using Tort Art.

Images for AI training must have consistency in character or style.

The tutorial demonstrates generating a bunch of images with the same style and character consistency.

Images are uploaded for AI to train the model in Tort Art.

Trigger words are used to prompt the AI model during training.

Custom and Dev mode are selected for training with Flux One model.

Professional mode offers more values to adjust for model training.

Training process takes approximately 3 hours.

Preview images are checked to find the best version of the model.

Models can be published or downloaded for local use.

Publishing a model on Tort Art requires filling in details like model version and base model.

Models can be shared on social platforms to gain more visibility.

Another model is trained using a different style, inspired by the game Cuphead.

The process of training, publishing, and sharing models is repeated for the new style.

The tutorial concludes with a call to action to train your own models.

The tutorial ends with a reminder to subscribe and engage with the content.

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