Personalized generated images with custom styles or objects — Previously, I have covered an article on fine-tuning Stable Diffusion using textual inversion. This tutorial focuses on how to fine-tune Stable Diffusion using another method called Dreambooth. Unlike textual inversion method which train just the embedding without modification to the base model, Dreambooth fine-tune the whole text-to-image model such that…

The first, all-in-one, multimodal translation model by Meta AI The topic for today is about SeamlessM4T, a new massively multilingual and multimodal machine translation model developed by Meta AI. Based on the official repository, SeamlessM4T is built to … provide high quality translation, allowing people from different linguistic communities to…

A unified text-to-audio model for sound effects, human speech and music By reading this piece, you will learn to utilize AudioLDM2 for text to audio generation. …

An open-source toolkit written in Python for speaker diarization By reading this article, you will learn to split an audio input into different segments or chunks according to the identity of each speaker. This process is also known as speaker diarization. This tutorial is based on the pyannote-audio Python package…

Personalized text-to-image generation with custom datasets Previously, I have covered an article on How to Fine-tune SDXL 0.9 using Dreambooth LoRA. For your information, Dreambooth is a specialized method which requires only a few images to create personalized subject or style. It works really well for single subject or style…

General purpose method to streamline audio preprocessing By reading this article, you will learn to split an audio file into multiple chunks with the transcription text. This comes in handy for those that wish to cut and trim any audio recording automatically. The steps are as follows: Transcribe the audio…

A new era of generative AI for everyone On 26 July 2023, Stability.AI announced the public release of SDXL 1.0, another big update to its generative models with breaking changes. The initial responses from the community is largely positive and people are now experimenting the capabilities of the new architecture. …

Utilizing “kiwipiepy” for Korean natural language processing By reading this article, you will learn to perform natural language processing tasks for the Korean language in Python. Previously, I have covered an article on Korean Natural Language Processing in Python using konlpy module. This article is based on a different Python…

Personalized generated images with custom datasets By reading this article, you will learn to do Dreambooth fine-tuning of Stable Diffusion XL 0.9 via LoRA. For you information, DreamBooth is a method to personalize text-to-image models with just a few images of a subject (around 3–5). This tutorial is based on…