DiffusionHub

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Stable Diffusion without the hassle
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Feb 20 2024
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208 users
DiffusionHub Produktinformationen

Was ist DiffusionHub?

DiffusionHub is a Stable Diffusion hosted cloud platform.

Wie benutzt man DiffusionHub?

Launch instances, store generations, and create with ease.

DiffusionHub's Hauptmerkmale

Automatic1111

ComfyUI

Kohya

DiffusionHub's Anwendungsfälle

#1

Produce images and videos rapidly

#2

Execute Generative AI smoothly

FAQ von DiffusionHub

Why use Diffusion Hub?

Is Diffusion Hub GPU-free?

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36:18

Training LoRA with Kohya (theory included!)

Learn how to train your own LoRA model using Kohya. In this tutorial, we will build a LoRA model using only a few images. We are going to understand the basic theory behind how neural network works, and will understand how to tweak the key parameters to achieve better results! Hope you enjoy :) 👀 Struggling to run Stable Diffusion locally? You can try DiffusionHub! 🤑Get 20% MORE DiffusionHub CREDIT using the link below or using the promo code LAURA20! Link: https://diffusionhub.io?fpr=laura17 💬 Social Media: [Discord] https://discord.gg/2s3XNeCtPs [Patreon] https://patreon.com/IntelligentArt?utm_medium=clipboard_copy&utm_source=copyLink&utm_campaign=creatorshare_creator&utm_content=join_link [Instagram] https://www.instagram.com/lacarnevali/ [TikTok] https://www.tiktok.com/@lacarnevali?is_from_webapp=1&sender_device=pc ____________________________________________________________________ 🤙🏻 Learn More: https://medium.com/@lauracarnevali/membership https://medium.com/@lauracarnevali 📰Article: https://medium.com/intelligent-art/how-to-fine-tuning-a-model-with-kohya-e05922dc1033 📌 Links: GitHub Kohya: https://github.com/bmaltais/kohya_ss CivitAI: https://civitai.com 00:33 What is a LoRA model 02:06 Build your database 02:48 Training images 04:22 Captioning (BLIP) 09:57 Regularization images 13:10 Choose your base model for training 16:09 Create folders to train the model 21:48 Theory: What is a Neural Network? 23:40 Theory: Batch 24:50 Theory: Epoch 25:20 Theory: Iterations, or Steps, or Repeat 26:00 Theory: Loss Function 26:49 Theory: Learning Rate 27:43 Set the key training parameters 32:12 How to use a LoRA model #aiart #stablediffusion #generativeart #lora

Laura Carnevali
Jun 22 2023
100.6K
324
11:43

Generate Your Images Faster by Installing Stable Diffusion With Google Colab!

IMPORTANT NOTE: YOU CANNOT RUN THIS CODE WITHOUT UPGRADING TO COLAB PRO How to install Stable Diffusion with Google Colab. Here we'll walk through installing Stable Diffusion from start to finish, including ControlNet Extensions. 📣📣📣I have just opened a Discord page to discuss SD and AI Art - common issues and news - join using the link: https://discord.gg/fxHVBVQ7Aa 👀 Struggling to run Stable Diffusion locally? You can try DiffusionHub! 🤑Get 20% MORE DiffusionHub CREDIT using the link below or using the promo code LAURA20! Link: https://diffusionhub.io?fpr=laura17 🤙🏻 Follow me on Medium to get my Newsletter: - Get UNLIMITED access to all articles: https://medium.com/@lauracarnevali/membership - Laura: https://medium.com/@lauracarnevali - Intelligent Art: https://medium.com/intelligent-art 📌 Links: Google Colab: https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb GitHub: https://github.com/AUTOMATIC1111/stable-diffusion-webui Hugging Face: https://huggingface.co/runwayml/stable-diffusion-v1-5 00:00 Why install Stable Diffusion with Colab? 01:13 Open Google Colab 02:04 Connect Google Colab to Google Drive 03:25 Install/Update AUTOMATIC1111 repo 04:18 Install requirements 04:56 Model download/load 08:26 ControlNet extensions 10:50 Start Stable Diffusion 11:24 Final thoughts #aiart #stablediffusion #generativeart #googlecolab #colab

Laura Carnevali
Mar 02 2023
64.5K
396
29:57

Training (Fine-Tuning) Your Own Stable Diffusion Model Using Colab

IMPORTANT NOTE: YOU CANNOT RUN THIS CODE WITHOUT UPGRADING TO COLAB PRO Training, or Fine-Tuning, your Stable Diffusion model cannot be easier with DreamBooth! Using Google Colab, I will walk you through generating images with specific subjects, objects, or styles! 📣📣📣I have just opened a Discord page to discuss SD and AI Art - common issues and news - join using the link: https://discord.gg/fxHVBVQ7Aa 👀 Struggling to run Stable Diffusion locally? You can try DiffusionHub! 🤑Get 20% MORE DiffusionHub CREDIT using the link below or using the promo code LAURA20! Link: https://diffusionhub.io?fpr=laura17 🤙🏻 Follow me on Medium to get my Newsletter: - Get UNLIMITED access to all articles: https://medium.com/@lauracarnevali/membership - Laura: https://medium.com/@lauracarnevali - Intelligent Art: https://medium.com/intelligent-art 📰 Article: https://medium.com/@lauracarnevali/training-fine-tuning-your-stable-diffusion-model-with-colab-ff9328cc0964 📌 Links: Google Colab Notebook: https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb Step by Step guide by Excalibro1: https://github.com/Excalibro1/fast-stable-diffusionwik/wiki/fast-stable-diffusion-wiki Ruiz et al., DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation: https://dreambooth.github.io Patil et al., Training Stable Diffusion with Dreambooth: https://wandb.ai/psuraj/dreambooth/reports/Training-Stable-Diffusion-with-Dreambooth--VmlldzoyNzk0NDc3#the-experiment-settings Hugging Face: https://huggingface.co Crop with Birme: https://www.birme.net 00:43 What is Fine-Tuning? 00:53 What is DreamBooth? 03:09 Open the Colab Notebook 03:33 Connect Colab to Google Drive 03:51 Install Dependencies 04:05 Model Download/Load 05:32 Create a New Session 06:29 Load an Existing Session 07:10 Upload Instance Images 11:32 Captions 12:53 Concept Images (Heavy Regularization) 14:05 Training the Model 19:36 Test the Trained Model 20:05 Create Images w/Stable Diffusion 25:30 Upload Model to Hugging Face #aiart #stablediffusion #generativeart #googlecolab #colab #training #dreambooth #modeltrains #stablediffusionai #stablediffusiontutorial

Laura Carnevali
Apr 06 2023
56.3K
196

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