Build your own Stable Doodle: Sketch to Image
In this video, I'll show you how to create an app for sketch to image. We will be using everything from UniControl paper and change a few things and add stable diffusion xl refiner to create a sketch to image tool.
You can play with the app here: https://huggingface.co/spaces/abhishek/sketch-to-image
Please subscribe and like the video to help me keep motivated to make awesome videos like this one. :)
My book, Approaching (Almost) Any Machine Learning problem, is available for free here: https://bit.ly/approachingml
Follow me on:
Twitter: https://twitter.com/abhi1thakur
LinkedIn: https://www.linkedin.com/in/abhi1thakur/
Kaggle: https://kaggle.com/abhishek
Видео Build your own Stable Doodle: Sketch to Image канала Abhishek Thakur
You can play with the app here: https://huggingface.co/spaces/abhishek/sketch-to-image
Please subscribe and like the video to help me keep motivated to make awesome videos like this one. :)
My book, Approaching (Almost) Any Machine Learning problem, is available for free here: https://bit.ly/approachingml
Follow me on:
Twitter: https://twitter.com/abhi1thakur
LinkedIn: https://www.linkedin.com/in/abhi1thakur/
Kaggle: https://kaggle.com/abhishek
Видео Build your own Stable Doodle: Sketch to Image канала Abhishek Thakur
Показать
Комментарии отсутствуют
Информация о видео
Другие видео канала
Building a summarizer using XGen-7b: Fully open source LLM by Salesforce
TS-5: Automatic for the people
Tips N Tricks #6: How to train multiple deep neural networks on TPUs simultaneously
Talks S2E6 (Louise Ferbach): Deep Learning For Survival Analysis
TS-4: Sales and demand forecasting
TS-9: Hybrid methods for time series
Kaggle's 30 Days Of ML (Day-12 Part-2): Handling Categorical Variables
Tips N Tricks # 8: Using automatic mixed precision training with PyTorch 1.6
Data representations for neural networks
Talks # 3: Lorenzo Ampil - Introduction to T5 for Sentiment Span Extraction
How to create GPT-powered conversational bot for any website
10K Subscribers: Approaching (almost) Any Machine Learning Problem and Talk Show
Bengali.AI: Handwritten Grapheme Classification Using PyTorch (Part-1)
Kaggle's 30 Days Of ML (Competition Part-4): Hyperparameter tuning using Optuna
Kaggle's 30 Days Of ML (Day-11): Machine Learning Model to Predict House Prices (Intro to ML Ends)
Panels # 1: What it takes to become a Quadruple Kaggle Grandmaster?
Best computer vision competitions on Kaggle (for beginners)
Talks # 4: Sebastien Fischman - Pytorch-TabNet: Beating XGBoost on Tabular Data Using Deep Learning
Kaggle's 30 Days Of ML (Day-13 Part-2): Cross-validation
Making Transformers go brum, brum, brum 🏎 (with Lewis Tunstall)
Multi-Lingual Toxic Comment Classification using BERT and TPUs with PyTorch