Stable Diffutionのモデルを複数追加、簡単に導入する方法 / CIVIT AI

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5 May 202304:19

TLDRThis video tutorial demonstrates how to add multiple models to Stable Diffusion for versatile and dynamic content creation. It guides viewers through the process of downloading and incorporating various models from reputable sources like Civic AI, adjusting settings, and switching between models to explore the differences in generated images. The video emphasizes the importance of having ample storage space for this endeavor and suggests upgrading if necessary. It concludes with a recommendation to reference Civic AI's samples for optimal use of each model and encourages creators to experiment with different prompts to highlight each model's strengths.

Takeaways

  • 💻 Adding multiple models to Stable Diffusion is explained, ideal for those who wish to switch between many models for versatility.
  • 📂 The process begins by navigating to the edit screen and adding models under the 'Checkpoint' section.
  • 👨‍💻 Models can be downloaded from various sites, with Civit AI being a recommended source.
  • 🔍 Use the filter option on Civit AI's homepage to narrow down to checkpoints, and select models based on preferred images.
  • 📥 After downloading the models, store them in a specific location on Google Drive to make them available for use.
  • 💾 Access the stored models by opening the SD folder in My Drive, clicking on WEBUI, and then navigating to the Stable Diffusion folder.
  • 📍 Simply dropping the downloaded files into this location will add them to your available models.
  • ⏳ Uploading can take some time, and models need to be refreshed in the interface to appear in the checkpoints list.
  • 📚 Exploring different models with the same prompt shows how varied the generated images can be, highlighting the uniqueness of each model.
  • 💎 Models may require substantial storage space, so upgrading Google Drive capacity is recommended for those wishing to use multiple models.
  • 📲 The channel encourages subscribing and liking for more AI tool tips, indicating ongoing support for AI enthusiasts.

Q & A

  • What is the main topic of the video script?

    -The main topic of the video script is about how to add multiple models in Stable Diffusion and use them interchangeably.

  • Where can one find and download models for Stable Diffusion?

    -Models for Stable Diffusion can be downloaded from various sites, with the video script suggesting to obtain them from a representative site like Civil AI.

  • How does one filter for checkpoints on the top page of the model download site?

    -On the top page of the model download site, there is a filter option at the top right corner. By using this filter, one can narrow down the search to checkpoints.

  • What is the recommended way to organize the downloaded data for the new models?

    -The recommended way is to store the downloaded data in a specified location on Google Drive, such as the SD folder, which will allow the new models to become usable.

  • How long does it typically take for the models to upload and reflect in the Stable Diffusion interface?

    -The time it takes for the models to upload and reflect can vary depending on the size of the data. The video script mentions that it can take a while, so patience is required.

  • How can one switch between different models in Stable Diffusion?

    -Switching between different models in Stable Diffusion is simple. It can be done by selecting the desired model from a dropdown menu in the interface.

  • What is the purpose of using different models with the same prompt in the script?

    -The purpose of using different models with the same prompt is to demonstrate and compare the variations in the output images, highlighting how each model can produce distinct results based on its characteristics.

  • What advice does the video script give for users who want to use multiple models?

    -The video script advises users who want to use multiple models to consider upgrading their Google Drive storage capacity, as using many models can consume a significant amount of space.

  • How can users find more information about the models they are interested in?

    -Users can find more information about the models by selecting an image that interests them on the model download site, then clicking on the details to view more about the model.

  • What is the significance of the sample prompt provided in the video script?

    -The sample prompt provided in the video script serves as an example of how to use the Stable Diffusion models. It demonstrates how different models can interpret the same prompt and produce varied results.

  • What is the final recommendation for users who want to get the best out of different models?

    -The final recommendation is for users to refer to the samples provided by Civil AI while creating their own prompts, as this can help bring out the best in each model according to its suitability.

Outlines

00:00

📌 Introduction to Adding Multiple Models in Stable Diffusion

This paragraph introduces viewers to the process of adding multiple models in Stable Diffusion. It emphasizes the utility of switching between various models for different outcomes and encourages viewers to use the provided information as a reference. The paragraph begins with opening the editing interface and locating the checkpoint section where models are added. It suggests downloading models from reputable sources like Civil AI and provides a step-by-step guide on filtering and selecting models, including changing the display order based on popularity and downloading different models for comparison.

Mindmap

Keywords

💡Stable Diffusion

Stable Diffusion is a term used in the context of AI and machine learning, referring to a specific type of model that generates images or text based on given prompts. In the video, it is the core technology that allows users to create and modify images by adding multiple models and switching between them for different outputs. The script mentions using Stable Diffusion to achieve various visual effects by changing the models.

💡Checkpoint

In the context of the video, a checkpoint refers to a saved state or version of the AI model that can be loaded to continue from a specific point. Checkpoints are used to add new models to the editing process in the video, allowing users to switch between different models and see how they affect the final output. They are crucial for the workflow of experimenting with different AI-generated images.

💡Download

The term 'download' refers to the process of transferring data or files from a remote server to a local device, such as a computer or a mobile phone. In the video, downloading is an essential step to acquire new models for the Stable Diffusion system, enabling users to expand their options for image generation and editing.

💡Filter

A filter in the context of the video is a tool used to narrow down search results or options based on specific criteria. It helps users find the desired models more efficiently by filtering out irrelevant results. Filters are used on the top page of the AI platform to focus on checkpoints, which contain the models that users are interested in.

💡Realism

Realism in the context of the video refers to the quality of the AI-generated images that closely resemble real-life objects or scenes. The goal is to create images that look authentic and believable. The script mentions that one of the downloaded models is quite realistic, indicating that it is capable of generating images that closely imitate reality.

💡Google Drive

Google Drive is a cloud storage service that allows users to store, share, and collaborate on files and folders online. In the video, Google Drive is used to store the downloaded data of the AI models, making them accessible for use in the Stable Diffusion system. It is important to have enough storage space to accommodate the potentially large files associated with these models.

💡SD Folder

The SD Folder, as mentioned in the video, refers to a specific directory or folder within Google Drive where users store their downloaded AI models. This organization helps in managing and accessing the files more efficiently, especially when dealing with multiple models for the Stable Diffusion system.

💡Upload

Upload refers to the process of transferring files or data from a local device to a remote server or cloud storage. In the context of the video, uploading is the step where users move the downloaded AI model files from their local storage to the designated folder on Google Drive, making them available for use in the Stable Diffusion system.

💡Update

In the context of the video, an update refers to the action of refreshing or renewing the list of available models in the Stable Diffusion system. This is necessary after uploading new models to ensure that they appear in the list of checkpoints and can be used for image generation.

💡Prompt

A prompt in the context of AI-generated content is a text or a set of words that serves as an input for the AI to create or generate a specific output, such as an image or a piece of text. In the video, prompts are used to guide the AI in creating images based on the user's desired theme or concept.

💡Sampling Method

The sampling method refers to the technique or algorithm used by the AI to select data points or generate outputs based on the input provided. In the context of the video, changing the sampling method can affect the style and quality of the AI-generated images, allowing users to fine-tune the output to match their preferences.

Highlights

Multiple models can be added to the Stable Diffusion for enhanced usage.

The process begins by opening the editing interface and locating the 'Checkpoint' section.

Models can be downloaded from various sites, with the transcript highlighting the use of models from a representative AI like Civil.

A filter option on the top page helps narrow down selections to checkpoints.

Downloading models involves selecting a model, reviewing its details, and clicking the download button.

It's advisable to download different models for comparison and to switch between them based on popularity.

Data size can be substantial, so it's recommended to have ample storage space available.

Downloaded data can be stored in a specified location on Google Drive to make new models accessible.

The storage location is found in the SD folder of My Drive, under the WEBUI section.

Simply drag and drop the downloaded files into the designated folder.

Waiting is required as the upload process can be time-consuming.

After upload completion, returning to the initial screen and updating the checkpoint will reflect the downloaded models.

Switching between models is straightforward, done through a pull-down menu selection.

Different models can produce significantly varied images, even with the same prompts.

Experimenting with various models and prompts can yield diverse and unique outputs.

It's suggested to use Civil AI's samples as a reference when creating prompts for different models.

Using multiple models can consume a lot of storage, so upgrading Google Drive capacity is recommended.

The channel introduces the latest AI tools, and subscribing and liking the content is encouraged.