Python

Stable Diffusion ComfyUI Note 01 - Download And Installation

Clay
2024-07-252024-08-12
AI

What is ComfyUI？

Those who play with Stable Diffusion AI-generated images have likely heard of stable-diffusion-webui. It is a visual interface that supports the Stable Diffusion model framework, allowing users to perform inference with AI models without having to write code or deal with complicated command-line operations. ComfyUI, on the other hand, is a slightly more niche front-end interface, but it has quickly garnered a loyal fan base due to its flexibility and customizability. Essentially, it can be seen as a more advanced version of stable-diffusion-webui, though it is less user-friendly.

Use `snapshot_download` To Download The Models Of HuggingFace Hub

Clay
2024-07-222024-07-22
Linux, Machine Learning, Python

Introduction

HuggingFace Model Hub is now a widely recognized and essential open-source platform for every one. Every day, countless individuals and organizations upload their latest trained models (including those for text, images, speech, and other domains) to this platform. It can be said that anyone working in AI-related fields frequently browses the HuggingFace platform website.

PaddleOCR: A Framework and Model Specialized in Chinese Optical Character Recognition (OCR)

Clay
2024-07-202024-07-20
Machine Learning, Python

Introduction

Recently, I have been exploring models used for Optical Character Recognition (OCR). In the past, OCR was a very popular research field as it was one of the earliest practical applications of computer vision. Today, OCR has become a very mature task, and you can easily find high-performance open-source models online.

Note Of Unsloth Accelerate Fine-tuning Open Source Project

Clay
2024-06-042024-06-05
Machine Learning, Python

Introduction

For several months, I have benefited greatly from the Unsloth project, primarily because a significant part of my job involves fine-tuning large language models (LLMs). Fine-tuning LLMs is extremely time-consuming; aside from data collection, the biggest time sink is the endless GPU-powered fine-tuning process.

[Paper Reading] Kangaroo: Lossless Self-Speculative Decoding via Double Early Exiting

Clay
2024-06-032024-07-25
Machine Learning, Python

Introduction

The accelerated framework is proposed by Huawei Noah's Ark Lab, it replaces the small model used in the original speculative decoding with the shallow sub-network of the large model. Additionally, it employs an extra-trained adapter and the model’s own decoding head to generate speculative tokens, which are then verified by the large model. The subsequent operations are quite similar to the original speculative decoding process.

Note Of RESTful (With Python FastAPI + CURL Example)

Clay
2024-06-022024-06-02
Linux, Python

Introduction

RESTful design (Representational State Transfer, REST) is an architectural style for designing network applications. It follows principles that make network applications simpler, more scalable, and easier to maintain.

Note Of Universally Unique Identifier (UUID)

Clay
2024-06-012024-06-01
Computer

Introduction

When assigning identifiers to our data, if we want each data to have a unique identifier rather than a simple sequential number, UUID is the most common method we used.

So, what is UUID?

an artist s illustration of artificial intelligence ai this image represents how machine learning is inspired by neuroscience and the human brain it was created by novoto studio as par

[Paper Reading] The Forward-Forward Algorithm: Some Preliminary Investigation

Clay
2024-01-182024-07-25
Machine Learning

Introduction

Paper link: https://arxiv.org/abs/2212.13345

The author of this research work is the renowned figure in the field of deep learning, Geoffrey Hinton, who was originally a researcher at Google Brain when he initially wrote this paper (he left in 2023).

[PyTorch] Release GPU / CPU Memory After Delete Model

Clay
2024-01-092024-01-15
Python, PyTorch

Problem

Yesterday, I developed a model merging program. This time I have no enough gpu memory to merge the models in only one time, so I tried to merge layer by layer. I found the memory of GPU is easily to release but CPU didn't.

[Python] Creating and Auto-Removing Temporary Directories with Python's `tempfile`

Clay
2024-01-072024-01-07
Python

Introduction

Today I was reading the training source code of DreamBooth, and I found the tempfile built-in module; I happened to reconstruct a script for model's layer merging, suddenly thought that the module would make the code more elegant, so I made this note.

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