Hướng dẫn train Lora Kiến trúc, Nội ngoại thất với Stable Diffusion chi tiết, dễ hiểu

The speaker, Hải Đăng, introduces himself and the purpose of the video, which is to guide viewers on how to use Trendora effectively in the field of architecture and interior design. He mentions his Western group and the process of translating (translora) for his audience. The video focuses on the theme of 'new classical' interior design in Vietnam, and he invites viewers to join his Facebook group for more content. He shares his process of creating images using sketches and applying the Lora style, emphasizing the importance of selecting the right images and parameters for the best results.

Hải Đăng discusses the importance of selecting the right images for Trendora, focusing on quality and style consistency. He advises using a minimal number of images, ideally between 10 to 30, to create a file for generating desired styles. He emphasizes the need to avoid images with logos or text as these can influence the outcome. The speaker provides a detailed strategy for searching and selecting images, recommending sources like Google and Pinterest, and explains how to prepare images for processing, including resizing and cropping to maintain quality and consistency.

The speaker continues with the process of preparing images for Trendora, detailing the steps of uploading and organizing them on Google Drive. He explains how to use a website like permi.net to crop and resize images to a uniform dimension, ensuring the best results from the Trendora process. He also discusses the importance of maintaining a high-quality standard for images, avoiding logos and text, and selecting images that best represent the desired style. The speaker provides a practical demonstration of how to handle and process the data before using Trendora.

Hải Đăng introduces two versions of Google Colab for using Trendora, one being the global version and the other tailored for Vietnamese users. He guides viewers on how to connect Google Colab with Google Drive, set up folders, and upload the prepared images. The speaker explains the process of installing necessary environments and connecting with Google Drive. He also discusses the importance of selecting the appropriate model for generating images, such as the 'Stable Diffusion' model, and provides a step-by-step guide on how to set up and run the process on Google Colab.

In this section, the speaker explains how to customize image descriptions and settings in Google Colab for the Trendora process. He discusses the use of captioning methods, such as 'beclip captioning' and 'full description,' to provide general or specific details about the images. The speaker also covers the importance of activation words in the Skypear Fusion tool, which helps to process the images before generating them with Trendora. He provides examples of how to set up the descriptions and settings for different types of images, such as general images or those specific to anime and manga.

Hải Đăng delves into the fine-tuning of Trendora settings, such as the number of iterations, image resolution, and sample every type. He explains how adjusting these settings can affect the quality and generation speed of the images. The speaker also discusses the importance of using the right model checkpoint and the role of optimizer settings in the process. He provides a comprehensive guide on how to set up the VA (value accumulation) and other parameters to achieve the desired outcome, including the use of Lava for better image quality and detail.

The speaker guides viewers through the final steps of running the Trendora process, including setting up the race (learning speed) and training office (number of learning iterations). He explains how to save the model after certain intervals and how to access the generated images in Google Drive. The speaker shares his experience of waiting for the process to complete and provides a walkthrough of how to view and download the final images. He also discusses the use of the 'Future' version of Steve Fusion for PC and provides tips on how to apply the generated style to new images.

Hải Đăng concludes the video by summarizing the process of using Trendora for architectural and interior design. He encourages viewers to experiment with different settings and provides additional resources, such as video tutorials and online groups, for further learning. The speaker emphasizes the potential of Trendora in creating unique and high-quality images for design projects and invites viewers to engage with his content for more insights and updates on Steve Fusion and related topics.