Our Discord : https://discord.gg/HbqgGaZVmr. This is the video where you will learn how to use Google Colab for Stable Diffusion. If I have been of assistance to you and you would like to show your support for my work, please consider becoming a patron on ðĨ° https://www.patreon.com/SECourses
Playlist of Stable Diffusion Tutorials, #Automatic1111 and Google #Colab Guides, DreamBooth, Textual Inversion / Embedding, #LoRA, AI Upscaling, Pix2Pix, Img2Img:
https://www.youtube.com/playlist?list=PL_pbwdIyffsmclLl0O144nQRnezKlNdx3
Google colab notebook link: https://colab.research.google.com/github/ShivamShrirao/diffusers/blob/main/examples/dreambooth/DreamBooth_Stable_Diffusion.ipynb
Transform Your Selfie into a Stunning AI Avatar with Stable Diffusion – Better than Lensa for Free
https://youtu.be/mnCY8uM7E50
Zero To Hero Stable Diffusion DreamBooth Tutorial By Using Automatic1111 Web UI – Ultra Detailed
https://youtu.be/Bdl-jWR3Ukc
Official Stable Diffusion 1.5 Repo : https://huggingface.co/runwayml/stable-diffusion-v1-5
Easiest Way to Install & Run Stable Diffusion Web UI on PC by Using Open Source Automatic Installer
https://youtu.be/AZg6vzWHOTA
How to use Stable Diffusion V2.1 and Different Models in the Web UI – SD 1.5 vs 2.1 vs Anything V3
https://youtu.be/aAyvsX-EpG4
0:00 Introduction and the layout of the best Google Colab tutorial
0:42 Best settings of Shivam Google Colab Dreambooth training quick-recap
1:50 What is Google Colab Stable Diffusion Dreambooth output directory
3:24 How to setup Shivam Google Colab DreamBooth training concepts options
4:00 Instance data directory setup Shivam Google Colab DreamBooth
4:31 Class data directory setup Shivam Google Colab DreamBooth
5:02 Used training dataset and how it should be
5:13 Training script setup Shivam Google Colab DreamBooth
6:26 How to properly set Weights Directory path in Shivam Google Colab DreamBooth
8:14 How to generate a ckpt file from Google Colab DreamBooth and download it
9:55 Google Colab Stable Diffusion inference, image generation
12:27 How to clone / transfer / copy Stable Diffusion Google Colab training into another Gmail account to continue using there
19:05 How to use custom ckpt / safetensors files in Google Colab training and image generation
23:05 How to indefinitely generate images in Shivam Google Colab and save them in Google Drive
24:20 How to use Hugging Face Stable Diffusion directories directly on Google Colab
27:14 What are Stable Diffusion diffusers files and how to use them
Generative AI and its Applications
Generative AI is a rapidly growing field in artificial intelligence that focuses on creating new and original data using machine learning algorithms.
Text Transformers:
Text transformers are deep learning models that are trained to generate text. They are based on the transformer architecture, which was introduced in the paper âAttention is All You Needâ. Text transformers are trained on large amounts of text data and can be used for various tasks such as machine translation, summarization, and text generation.
UNet:
UNet is a deep learning architecture used for semantic segmentation of images. It was originally developed for biomedical image segmentation but has since been applied to other domains as well. UNet is known for its efficient use of memory and its ability to maintain a high level of accuracy even with limited training data.
Image Generation:
Image generation is a task in generative AI where a model is trained to generate new images based on a given set of input images. This can be used for various applications such as generating realistic images of objects or people, creating new and original art, or enhancing the quality of low-resolution images.
Stable Diffusion:
Stable Diffusion is a generative AI method that creates stable, high-quality results from small amounts of data. It uses a diffusion process to generate new data that is similar to the input data but with variations.
DreamBooth:
DreamBooth is a generative AI platform that allows users to upload a photo and have it transformed into a unique, stylized image. It uses a deep learning model that has been trained on large amounts of data to generate new images that are similar in style to the input image but with new and original details.
Google Colab:
Google Colab is a free, web-based platform for machine learning and data science. It provides users with access to powerful GPUs and TPUs, making it a great resource for training and testing generative AI models. Colab also provides a user-friendly interface, making it easy for anyone to get started with machine learning, regardless of their technical expertise.
In conclusion, generative AI is a rapidly growing field with a wide range of applications. From text generation to image creation, generative AI is changing the way we interact with and create digital data. With platforms like Google Colab, it is easier than ever to get started with generative AI explore its many possibilities.
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- āđāļāļāđāļāļĢāļāļĩāļāļēāļĒgringo xp v70āļĨāđāļēāļŠāļļāļ āļŠāļąāļāļāļ·āļāļāļēāļĒ āļāļąāļāļĢāļāļ§āļēāļ āļĄāļāļāđāļŠāđāļ āļāļąāļāļĢāļāļāļ°āļĨāļļ āļāđāļēāđāđāļāļ āļāļ·āđāļāđ
- Chat GPT āļāļ·āļ? Chat GPT āđāļāđāļāļēāļāđāļāļ·āđāļāļāļāđāļāļĒāļąāļāđāļ āļŠāļāļāđāļŦāđāđāļāļāļĨāļīāļāļāļĩāđ
- āđāļĄāļ·āđāļ AI āļāļ·āđāļāļāļ·āļāļāļĩāļ āļāļļāļāļāļĨāļāļĢāļāļāļīāļāļāļīāļāļĨāļāļāļāđāļĨāļāļĄāļēāļāļēāļāļāļ§āļēāļĄāļāļēāļĒ #shorts #midjourney
- āļāļąāļ CFG Scale āļĒāļąāļāđāļāđāļŦāđāļ āļēāļāđāļĄāđāđāļāļ | Stable Diffusion | Dynamic Thresholding | Thai
- āđāļāļāļŠāļāļĢāļīāļāļāļĩāļāļēāļĒāļĨāđāļāļāļŦāļąāļ§90%ðĨ āđāļĨāđāļāđāļāļĩāļĒāļāđ āļāļąāļāđāļāļ+āļāļąāļāļāļąāļāļāļĩāļāļģðŊ
- Chat GPT Explained in 5 Minutes | What Is Chat GPT ? | Introduction To Chat GPT | Simplilearn
- āđāļāđāļāđ 5 āļāļīāļāļŠāđ āđāļāđ ChatGPT āļāđāļ§āļĒāļāļģāļāļēāļāļĒāļąāļāđāļāđāļŦāđāđāļāļĩāļĒāļ ! | beartai āđāļāđāļāđ
- ChatGPT āđāļāļāļāļāļāļāļąāļāļāļĢāļīāļĒāļ° āļāļāļāļāļģāļāļēāļĄāļāļĨāđāļāļ āđāļāļĩāļĒāļāļŦāļāļąāļāļŠāļ·āļāđāļāđāļ āļĄāļēāļāđāļ§āļĒāļŦāļĢāļ·āļāđāļĒāđāļāļāļēāļāļĄāļāļļāļĐāļĒāđ? | KEY MESSAGES #57 | THE STANDARD
- ChatGPT āļāļ·āļāļāļ°āđāļĢ ChatGPT āļāļģāļāļ°āđāļĢāđāļāđāļāđāļēāļ? AI āļāļ°āđāļĒāđāļāļāļēāļāļāļāđāļŦāļĄ? l iT24Hrs | iT24Hrs
- Stable Diffusion Google Colab, Continue, Directory, Transfer, Clone, Custom Models, CKPT SafeTensors
- āļāļąāļāļāļēāļāļĢāļ°āļāļīāļĐāļāđ 2023 ChatGPT āđāļāļĨāļĩāđāļĒāļāđāļĨāļ? | Executive Espresso EP.414 | THE SECRET SAUCE
- āđāļāđāļāļēāļ MidJourney AI āļŠāļĢāđāļēāļāļāļĨāļāļēāļ : āļŠāļĢāđāļēāļāļāļēāļāļĻāļīāļĨāļāđāļāđāļ§āļĒāļāļģ āļāļąāļ midjourney | Right CG
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āļāļĢāļļāļāļē āļāļāļāļīāļāļāļēāļĄ >> channel Soft” Â Â āļāđāļāļĄāļđāļĨāļāļēāļ Youtube āļāđāļāļ Soft” Â
Chat GPT āļāļ·āļ? Chat GPT āđāļāđāļāļēāļāđāļāļ·āđāļāļāļāđāļāļĒāļąāļāđāļ āļŠāļāļāđāļŦāđāđāļāļāļĨāļīāļāļāļĩāđ
Chat GPT āļāļ·āļāļāļ°āđāļĢ āđāļĨāđāļ§ Chat GPT āđāļāđāļāļēāļāļĒāļąāļāđāļ āļŦāļĨāļēāļĒāļāļāļāļēāļāļāļ°āļŠāļāļŠāļąāļĒ āļāļĄāļāļāļāļāļīāļāļēāļĒāđāļŦāđāļāļąāļāļāđāļēāļĒ āđ āļāļ°āļāļĢāļąāļ Chat GPT āļāļ·āļāđāļāļāļāļāļāļāļĩāđāđāļāđāļĢāļ°āļāļ algorithm āļāļāļāļāļĢāļīāļĐāļąāļ openai āđāļāļāļēāļĢāļāļāļāļāļģāļāļēāļĄ āļŠāļ·āđāļāļŠāļēāļĢāļāļąāļāļĄāļāļļāļĐāļĒāđ āļāļēāļĄāļāļģāļŠāļąāđāļ āļŦāļĢāļ·āļāļāļģāļāļēāļĄāļāļĩāđāđāļĢāļēāļāļīāļĄāļāđāļĨāļāđāļ āđāļāļāļąāļāļāļļāļāļąāļ Chat GPT āđāļāļīāđāļāđāļāļīāļāļāļąāļ§āļĢāļļāđāļāļāļĩāđ 4 āļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļāļŠāļđāļāļĄāļēāļ āđ āļāļļāļāļāļ°āļŠāļēāļĄāļēāļĢāļāļŠāļ·āđāļāļŠāļēāļĢāļāļąāļ Chat GPT āđāļāđāđāļŦāļĄāļ·āļāļāļāļļāļĒāļāļąāļāļĄāļāļļāļĐāļĒāđ . āđāļāļāļĨāļīāļāļ§āļīāļāļĩāđāļāļāļĩāđ āđāļāđāđāļāđāļāļĢāļēāļĒāļĨāļ°āđāļāļĩāļĒāļāđāļāļ·āđāļāļŦāļēāļāļēāļĄāļāļĩāđ 0:00 āđāļāļ°āļāļģ Chat GPT 2:56 āļĢāļđāđāļāļąāļāļāļąāļāļŦāļāđāļēāļāļē Chat GPT āđāļāļ·āđāļāļāļāđāļ 4:25 āļŠāļāļāļāļēāļĢāļāđāļāļāļāļģāļŠāļąāđāļāđāļāļāļāđāļāļāļ§āđāļēāļāđāļāļĄāļđāļĨāļāđāļāđāļāđāļāļāļĢāļīāļ 7:40 āļŠāļāļāļāļēāļĢāļāđāļāļāļāļģāļŠāļąāđāļ āđāļŦāđ Chat GPT āļāđāļ§āļĒāļāļīāļāļāļāļāđāļāļāļāđ āļĨāļāļāđāļāđ Chat GPT […]
āđāļĄāļ·āđāļ AI āļāļ·āđāļāļāļ·āļāļāļĩāļ āļāļļāļāļāļĨāļāļĢāļāļāļīāļāļāļīāļāļĨāļāļāļāđāļĨāļāļĄāļēāļāļēāļāļāļ§āļēāļĄāļāļēāļĒ #shorts #midjourney
āđāļĄāļ·āđāļ AI āļāļ·āđāļāļāļ·āļāļāļĩāļ āļāļļāļāļāļĨāļāļĢāļāļāļīāļāļāļīāļāļĨāļāļāļāđāļĨāļāļĄāļēāļāļēāļāļāļ§āļēāļĄāļāļēāļĒ #shorts #midjourney  āļāļāļāļāļāļāļļāļ āļāđāļāļĄāļđāļĨāļāļēāļ Youtube āļāđāļāļ Why Ask Why āļāļāļāļāļāļāļļāļ āļāđāļāļĄāļđāļĨāļāļēāļ Youtube āļāđāļāļ Why Ask WhyāđāļĄāļ·āđāļ AI āļāļ·āđāļāļāļ·āļāļāļĩāļ āļāļļāļāļāļĨāļāļĢāļāļāļīāļāļāļīāļāļĨāļāļāļāđāļĨāļāļĄāļēāļāļēāļāļāļ§āļēāļĄāļāļēāļĒ #shorts #midjourneyāļāļāļāļāļāļāļļāļ āļāđāļāļĄāļđāļĨāļāļēāļ Youtube āļāđāļāļ Why Ask Why  Â
Playlist of Stable Diffusion Tutorials, #Automatic1111 and Google #Colab Guides, DreamBooth, Textual Inversion / Embedding, #LoRA, AI Upscaling, Pix2Pix, Img2Img:
https://www.youtube.com/playlist?list=PL_pbwdIyffsmclLl0O144nQRnezKlNdx3
Google colab notebook link: https://colab.research.google.com/github/ShivamShrirao/diffusers/blob/main/examples/dreambooth/DreamBooth_Stable_Diffusion.ipynb
Transform Your Selfie into a Stunning AI Avatar with Stable Diffusion – Better than Lensa for Free
https://youtu.be/mnCY8uM7E50
Zero To Hero Stable Diffusion DreamBooth Tutorial By Using Automatic1111 Web UI – Ultra Detailed
https://youtu.be/Bdl-jWR3Ukc
Official Stable Diffusion 1.5 Repo : https://huggingface.co/runwayml/stable-diffusion-v1-5
Easiest Way to Install & Run Stable Diffusion Web UI on PC by Using Open Source Automatic Installer
https://youtu.be/AZg6vzWHOTA
How to use Stable Diffusion V2.1 and Different Models in the Web UI – SD 1.5 vs 2.1 vs Anything V3
https://youtu.be/aAyvsX-EpG4
0:00 Introduction and the layout of the best Google Colab tutorial
0:42 Best settings of Shivam Google Colab Dreambooth training quick-recap
1:50 What is Google Colab Stable Diffusion Dreambooth output directory
3:24 How to setup Shivam Google Colab DreamBooth training concepts options
4:00 Instance data directory setup Shivam Google Colab DreamBooth
4:31 Class data directory setup Shivam Google Colab DreamBooth
5:02 Used training dataset and how it should be
5:13 Training script setup Shivam Google Colab DreamBooth
6:26 How to properly set Weights Directory path in Shivam Google Colab DreamBooth
8:14 How to generate a ckpt file from Google Colab DreamBooth and download it
9:55 Google Colab Stable Diffusion inference, image generation
12:27 How to clone / transfer / copy Stable Diffusion Google Colab training into another Gmail account to continue using there
19:05 How to use custom ckpt / safetensors files in Google Colab training and image generation
23:05 How to indefinitely generate images in Shivam Google Colab and save them in Google Drive
24:20 How to use Hugging Face Stable Diffusion directories directly on Google Colab
27:14 What are Stable Diffusion diffusers files and how to use them
Generative AI and its Applications
Generative AI is a rapidly growing field in artificial intelligence that focuses on creating new and original data using machine learning algorithms.
Text Transformers:
Text transformers are deep learning models that are trained to generate text. They are based on the transformer architecture, which was introduced in the paper âAttention is All You Needâ. Text transformers are trained on large amounts of text data and can be used for various tasks such as machine translation, summarization, and text generation.
UNet:
UNet is a deep learning architecture used for semantic segmentation of images. It was originally developed for biomedical image segmentation but has since been applied to other domains as well. UNet is known for its efficient use of memory and its ability to maintain a high level of accuracy even with limited training data.
Image Generation:
Image generation is a task in generative AI where a model is trained to generate new images based on a given set of input images. This can be used for various applications such as generating realistic images of objects or people, creating new and original art, or enhancing the quality of low-resolution images.
Stable Diffusion:
Stable Diffusion is a generative AI method that creates stable, high-quality results from small amounts of data. It uses a diffusion process to generate new data that is similar to the input data but with variations.
DreamBooth:
DreamBooth is a generative AI platform that allows users to upload a photo and have it transformed into a unique, stylized image. It uses a deep learning model that has been trained on large amounts of data to generate new images that are similar in style to the input image but with new and original details.
Google Colab:
Google Colab is a free, web-based platform for machine learning and data science. It provides users with access to powerful GPUs and TPUs, making it a great resource for training and testing generative AI models. Colab also provides a user-friendly interface, making it easy for anyone to get started with machine learning, regardless of their technical expertise.
In conclusion, generative AI is a rapidly growing field with a wide range of applications. From text generation to image creation, generative AI is changing the way we interact with and create digital data. With platforms like Google Colab, it is easier than ever to get started with generative AI explore its many possibilities.
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āļāļąāļ CFG Scale āļĒāļąāļāđāļāđāļŦāđāļ āļēāļāđāļĄāđāđāļāļ | Stable Diffusion | Dynamic Thresholding | Thai
āļāļāļāļīāļāđāļē parameter CFG Scale āļāđāļēāđāļĢāļē set āđāļ§āđāđāļĒāļāļ° āđāļĢāļēāļāļ°āđāļāđ detail āļ āļēāļāļāļĩāđāđāļĒāļāļ°āļāļķāđāļ āđāļāđāļāđāļēāđāļĒāļāļ°āđāļāļīāļāļ āļēāļāļāđāļāļ°āđāļŠāļĩāļĒ āđāļāļāļĨāļīāļāļāļ°āļŠāļāļāļ§āļīāļāļĩāļĒāļąāļ CFG Scale max āđāļāļĒāļāļĩāđāļ āļēāļāđāļĄāđāđāļāļāļāđāļ§āļĒ extenstion Dynamic Thresholding āļĢāļ§āļĄāļāļąāđāļ config āđāļāļ·āđāļāļāļāđāļ āļŦāļĄāļēāļĒāđāļŦāļāļļ: āđāļ clip āļāđāļ§āļāđāļ§āļĨāļē 4:03 āļāļēāļāļĩ āļāļąāļ§āļāļĩāđāļāļđāļāļāļķāļāđāļĄāđāđāļāđ extension āđāļāđāđāļāđāļ embedding āļāļĢāļąāļ Dynamic Thresholding: https://github.com/mcmonkeyprojects/sd-dynamic-thresholding  āļāļāļāļāļāļāļļāļ āļāđāļāļĄāļđāļĨāļāļēāļ Youtube āļāđāļāļ hotfreshmilk āļāļāļāļāļāļāļļāļ āļāđāļāļĄāļđāļĨāļāļēāļ Youtube āļāđāļāļ hotfreshmilkāļāļąāļ CFG Scale āļĒāļąāļāđāļāđāļŦāđāļ āļēāļāđāļĄāđāđāļāļ | Stable Diffusion | Dynamic […]
āđāļāļāļŠāļāļĢāļīāļāļāļĩāļāļēāļĒāļĨāđāļāļāļŦāļąāļ§90%ðĨ āđāļĨāđāļāđāļāļĩāļĒāļāđ āļāļąāļāđāļāļ+āļāļąāļāļāļąāļāļāļĩāļāļģðŊ
āļĨāļīāđāļāļāļĒāļđāđāđāļāļāļāļĄāđāļĄāđāļ++ āļāļģāđāļāļ·āļāļðĨ āđāļāļĨāđāļāļļāļāđāļāļĨāđāļĄāļĩāđāļāļāļēāļŠāđāļāļāđāļāļ+āđāļāļāļāļģ āđāļĄāđāļāļ§āļĢāđāļĨāđāļāđāļāļŦāļĨāļąāļ Â āļāļāļāļāļāļāļļāļ āļāđāļāļĄāļđāļĨāļāļēāļ Youtube āļāđāļāļ Hades FF āļāļāļāļāļāļāļļāļ āļāđāļāļĄāļđāļĨāļāļēāļ Youtube āļāđāļāļ Hades FFāđāļāļāļŠāļāļĢāļīāļāļāļĩāļāļēāļĒāļĨāđāļāļāļŦāļąāļ§90%ðĨ āđāļĨāđāļāđāļāļĩāļĒāļāđ āļāļąāļāđāļāļ+āļāļąāļāļāļąāļāļāļĩāļāļģðŊāļāļāļāļāļāļāļļāļ āļāđāļāļĄāļđāļĨāļāļēāļ Youtube āļāđāļāļ Hades FF Â Â
Chat GPT Explained in 5 Minutes | What Is Chat GPT ? | Introduction To Chat GPT | Simplilearn
ðĨ Become An AI & ML Expert Today: 0 – 3 Year Experience: https://www.simplilearn.com/masters-in-artificial-intelligence?utm_campaign=AIMLVideosTapLink&utm_medium=Descriptionff&utm_source=youtube 3 – 8 Year Experience: https://l.linklyhq.com/l/1tx6v 8+ Year Experience: https://l.linklyhq.com/l/1tx6z In today’s video on ChatGPT explained, we will understand what is chatGPT and how OpenAI was able to create this revolutionary chatbot. This introduction to ChatGPT video will teach you about […]
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āđāļāđāļāđ 5 āļāļīāļāļŠāđ āđāļāđ ChatGPT āļāđāļ§āļĒāļāļģāļāļēāļāļĒāļąāļāđāļāđāļŦāđāđāļāļĩāļĒāļ ! | beartai āđāļāđāļāđ
āđāļāđāļāđ 5 āļāļīāļāļŠāđ āđāļāđ ChatGPT āļāđāļ§āļĒāļāļģāļāļēāļāļĒāļąāļāđāļāđāļŦāđāđāļāļĩāļĒāļ !āđāļāđāļāđ 5 āļāļīāļāļŠāđ āđāļāđ ChatGPT āļāđāļ§āļĒāļāļģāļāļēāļāļĒāļąāļāđāļāđāļŦāđāđāļāļĩāļĒāļ !āļāļāļāļāļāļāļļāļ āļāđāļāļ beartai āđāļāđāļāđāļāļĢāļļāļāļē āļāļāļāļīāļāļāļēāļĄ āļāļĩāđurl video āļāļīāļāļāļēāļĄāđāļāđāļāđ āļāļāđāļĨāļĒ! https://cutt.ly/YTbeartai āđāļāđāļ§āļĨāļēāļāļĩāđ #AI āļāļĒāđāļēāļ #ChatGPT āđāļāđāļēāļĄāļēāļĄāļĩāļāļāļāļēāļāđāļāļāļĩāļ§āļīāļāļāļāļāđāļĢāļēāđāļāļīāđāļĄāļĄāļēāļāļāļķāđāļ āļāļķāļāđāļ§āļĨāļēāđāļĨāđāļ§āļāļĩāđāđāļĢāļēāļāļ°āļāđāļāļāļāļģāđāļāļē AI āļāļąāļ§āļāļĩāđāļĄāļēāļāļĢāļ°āļĒāļļāļāļāđāđāļāđ #beartaiOriginals āļāļĨāļīāļāļāļĩāđāļāļķāļāļāļĒāļēāļāļāļēāļāļļāļāļāļāđāļāļĨāļāļāļŠāļąāļĄāļāļąāļŠ ChatGPT āļāļĩāđ āļāļĢāđāļāļĄāđāļāļ°āļāļģāļāļīāļāļŠāđāđāļĨāđāļāļāđāļāļĒāļŠāļģāļŦāļĢāļąāļāļāļāļāļĩāđāđāļāļīāđāļāļāļ°āđāļāđāļĨāļāļāđāļāđ ChatGPT āļ§āđāļēāđāļĢāļēāļāļ°āđāļāđ ChatGPT āļĒāļąāļāđāļāđāļŦāđāđāļ§āļīāļĢāđāļ āļāļąāļāļāļāļĄ – āļŠāļļāļāļāļē ! ================ āļāļīāļāļāđāļāļāļēāļāđāļāļĐāļāļē āļŦāļĢāļ·āļ Production āđāļāđāļāļĩāđ ð[email protected] ðą To. 085-848-2253 āļāļīāļāļāļēāļĄāļāđāļēāļ§āļŠāļēāļĢāļāđāļēāļāđāļāļāļĩ āđāļĨāļ°āđāļĨāļāđāļŠāđāļāļĨāđāđāļāļ āđ […]
ChatGPT āđāļāļāļāļāļāļāļąāļāļāļĢāļīāļĒāļ° āļāļāļāļāļģāļāļēāļĄāļāļĨāđāļāļ āđāļāļĩāļĒāļāļŦāļāļąāļāļŠāļ·āļāđāļāđāļ āļĄāļēāļāđāļ§āļĒāļŦāļĢāļ·āļāđāļĒāđāļāļāļēāļāļĄāļāļļāļĐāļĒāđ? | KEY MESSAGES #57 | THE STANDARD
ChatGPT āđāļāļāļāļāļāļāļąāļāļāļĢāļīāļĒāļ° āļāļāļāļāļģāļāļēāļĄāļāļĨāđāļāļ āđāļāļĩāļĒāļāļŦāļāļąāļāļŠāļ·āļāđāļāđāļ āļĄāļēāļāđāļ§āļĒāļŦāļĢāļ·āļāđāļĒāđāļāļāļēāļāļĄāļāļļāļĐāļĒāđ? | KEY MESSAGES #57ChatGPT āđāļāļāļāļāļāļāļąāļāļāļĢāļīāļĒāļ° āļāļāļāļāļģāļāļēāļĄāļāļĨāđāļāļ āđāļāļĩāļĒāļāļŦāļāļąāļāļŠāļ·āļāđāļāđāļ āļĄāļēāļāđāļ§āļĒāļŦāļĢāļ·āļāđāļĒāđāļāļāļēāļāļĄāļāļļāļĐāļĒāđ? | KEY MESSAGES #57āļāļāļāļāļāļāļļāļ āļāđāļāļ THE STANDARDāļāļĢāļļāļāļē āļāļāļāļīāļāļāļēāļĄ āļāļĩāđurl video āđāļĄāđāļāļĩāđāļŠāļąāļāļāļēāļŦāđāļāļĩāđāļāđāļēāļāļĄāļē āļāļđāđāļāļāļāļąāđāļ§āđāļĨāļāļāđāļēāļāļŪāļ·āļāļŪāļēāļāļąāļ âChatGPTâ āđāļāļāļāļāļ AI āļŠāļļāļāļāļąāļāļāļĢāļīāļĒāļ°āļāļĩāđāđāļāļīāđāļāđāļāļīāļāļāļąāļ§āđāļŦāđāļāļāļāļąāđāļ§āđāļāļāļāļĨāļāļāđāļāđ āļāđāļāļāļāļ°āļāļĨāļēāļĒāđāļāđāļāđāļ§āļĢāļąāļĨāļāļāđāļĨāļāļāļīāļāđāļāļāļĢāđāđāļāđāļāđāļāđāļ§āļĨāļēāļāļąāļāļĢāļ§āļāđāļĢāđāļ§ āļāļ§āļēāļĄāļāļīāđāļĻāļĐāļāļāļ ChatGPT āļāļąāđāļ āđāļĄāđāļ§āđāļēāļāļ°āļŠāļāļŠāļąāļĒāđāļĢāļ·āđāļāļāļāļ°āđāļĢāļāđāļŠāļēāļĄāļēāļĢāļāļŦāļēāļāļģāļāļāļāđāļāđāļŦāļĄāļ āđāļāļĒāļāļ°āđāļāđāļĢāļ°āļāļ âAIâ āđāļāļĢāļ§āļāļĢāļ§āļĄāļāđāļāļĄāļđāļĨāļāļēāļāļāļļāļāļāļĩāđāđāļāđāļĨāļāļĄāļēāļāļĢāļ°āļĄāļ§āļĨāļāļĨāđāļāđāļāļāļģāļāļāļāđāļŦāđāļāļąāļāđāļĢāļē āđāļĨāļ°āļāļģāđāļāđāđāļĄāđāļāļĢāļ°āļāļąāđāļāļāļēāļĢāđāļāļĩāļĒāļāļŠāļāļĢāļīāļāļāđāļāļēāļĢāđāļĢāļĩāļĒāļāļāļēāļĢāļŠāļāļ āđāļāļĩāļĒāļāļāļāļāļ§āļĩ āđāļāđāļāđāļāļĨāļ āļŦāļĢāļ·āļāđāļāļĩāļĒāļāļāđāļēāļ§āļāđāđāļāđ āļāļąāđāļāļĒāļąāļāđāļāđāļāļāļāļŠāļāļāļāļēāļāļąāļāđāļĢāļēāđāļāđāļāļĒāđāļēāļāđāļāđāļāļāļĢāļĢāļĄāļāļēāļāļīāļĢāļēāļ§āļāļąāļāđāļāđāļāļĄāļāļļāļĐāļĒāđ āļāļđāđāļāļĩāđāđāļāđāļāļāļĨāļāļāđāļāđāļāļēāļāļāļāļāļķāļāļāļąāļāđāļāđāļĒāļāļēāļāļ§āđāļē âGoogle āļāļēāļĒāđāļĨāđāļ§â āļāđāļēāļāļāđāļāļāļāļ§āđāļēāļĄāļāļļāļĐāļĒāđāļāļģāļĨāļąāļāļāļ°āđāļāļ AI āđāļĒāđāļāļāļēāļ ChatGPT āļāļ·āļāļāļ°āđāļĢ āļāļĢāļīāļāļŦāļĢāļ·āļāļāļĩāđāļāļ§āļāđāļĢāļēāļāļ°āļāļāļāļēāļāđāļāļĢāļēāļ°āđāļāļāļāļāļāļāļĩāđ āļāļīāļāļāļēāļĄāđāļāđāđāļāļĢāļēāļĒāļāļēāļĢ KEY MESSAGES āđāļĢāļ·āđāļāļ: […]
ChatGPT āļāļ·āļāļāļ°āđāļĢ ChatGPT āļāļģāļāļ°āđāļĢāđāļāđāļāđāļēāļ? AI āļāļ°āđāļĒāđāļāļāļēāļāļāļāđāļŦāļĄ? l iT24Hrs | iT24Hrs
ChatGPT āļāļ·āļāļāļ°āđāļĢ ChatGPT āļāļģāļāļ°āđāļĢāđāļāđāļāđāļēāļ? AI āļāļ°āđāļĒāđāļāļāļēāļāļāļāđāļŦāļĄ? l iT24HrsChatGPT āļāļ·āļāļāļ°āđāļĢ ChatGPT āļāļģāļāļ°āđāļĢāđāļāđāļāđāļēāļ? AI āļāļ°āđāļĒāđāļāļāļēāļāļāļāđāļŦāļĄ? l iT24Hrsāļāļāļāļāļāļāļļāļ āļāđāļāļ iT24HrsāļāļĢāļļāļāļē āļāļāļāļīāļāļāļēāļĄ āļāļĩāđurl video ChatGPT āļāļ·āļāļāļ°āđāļĢ ChatGPT āļāļģāļāļ°āđāļĢāđāļāđāļāđāļēāļ? AI āļāļ°āđāļĒāđāļāļāļēāļāļāļāđāļŦāļĄ? āļāļāļāļāļĩāđāļāļģāļĨāļąāļāļĄāļĩ AI āļĒāđāļāļĄāļēāļāļēāļ Artificial Intelligence ( āļāļąāļāļāļēāļāļĢāļ°āļāļīāļĐāļāđ ) āļāļģāļĨāļąāļāļŠāļĢāđāļēāļāļāļ§āļēāļĄāļŪāļ·āļāļŪāļē āđāļāļēāļāļ·āđāļāļ§āđāļē ChatGPT āļāļģāļĨāļąāļāļĄāļĩāļāļāļāļđāļāļāļķāļāđāļĒāļāļ°āđāļĨāļĒ āļāļķāđāļāļāļđāļāļāļąāļāļāļēāđāļāļĒ OpenAI āđāļāđāļēāđāļāļĩāļĒāļ§āļāļąāļāļāļđāđāđāļāļĒāļāļąāļāļāļē Dall-E 2 āļāļīāļāļĢāļāļĢ AI āļāļĩāđāļŠāļĢāđāļēāļāđāļŠāļĩāļĒāļāļŪāļ·āļāļŪāļēāđāļĄāļ·āđāļāļāļĨāļēāļāļāļĩ 2022 āđāļĨāđāļ§ Chat GPT āļāđāļāļķāđāļāđāļāļīāļāļāļąāļ§āđāļĄāļ·āđāļāļāđāļ§āļāđāļāļ·āļāļāļāļĪāļĻāļāļīāļāļēāļĒāļ 2022 . āļĄāļēāļāļđ AI […]
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Stable Diffusion Google Colab, Continue, Directory, Transfer, Clone, Custom Models, CKPT SafeTensors
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āļāļąāļāļāļēāļāļĢāļ°āļāļīāļĐāļāđ 2023 ChatGPT āđāļāļĨāļĩāđāļĒāļāđāļĨāļ? | Executive Espresso EP.414 | THE SECRET SAUCE
āļāļąāļāļāļēāļāļĢāļ°āļāļīāļĐāļāđ 2023 ChatGPT āđāļāļĨāļĩāđāļĒāļāđāļĨāļ? | Executive Espresso EP.414āļāļąāļāļāļēāļāļĢāļ°āļāļīāļĐāļāđ 2023 ChatGPT āđāļāļĨāļĩāđāļĒāļāđāļĨāļ? | Executive Espresso EP.414āļāļāļāļāļāļāļļāļ āļāđāļāļ THE SECRET SAUCEāļāļĢāļļāļāļē āļāļāļāļīāļāļāļēāļĄ āļāļĩāđurl video āđāļāļāļĩ 2023 āļāļĢāļ°āđāļŠ AI āđāļāļāļāļāļāļāļģāļĨāļąāļāļĄāļēāđāļĢāļāļāļĒāđāļēāļāļāđāļāđāļāļ·āđāļāļ āđāļāļĒāļĄāļĩāļāļļāļāđāļĢāļīāđāļĄāļāđāļāļāļēāļ ChatGPT āļāļģāđāļŦāđāļāļĢāļīāļĐāļąāļāļĒāļąāļāļĐāđāđāļŦāļāđāđāļĨāļ°āļŠāļāļēāļĢāđāļāļāļąāļāļāđāļēāļāđāļāļīāļāļāļąāļ§ AI āđāļāļ·āđāļāđāļāđāļāļāļąāļāļāļąāļāļāļģāļāļ§āļāļĄāļēāļ āļĻāļķāļ AI āļāļĢāļąāđāļāļāļĩāđāļāļģāđāļŦāđāļāļāļāļąāđāļāļāļģāļāļēāļĄāđāļĄāđāđāļāđāļ§āđāļē āļāļāļēāļāļāļāļāļāļāļąāļāļāļēāļāļĢāļ°āļāļīāļĐāļāđāļāļ°āđāļāđāļāđāļāđāļāļāļīāļĻāļāļēāļāđāļ Exclusive Espresso āđāļāļāļīāđāļŠāļāļāļĩāđ āļāļ°āļĄāļēāļŠāļĢāļļāļāļāļāļāļ§āļēāļĄāļāļēāļ MIT āđāļāļŦāļąāļ§āļāđāļ âāļāđāļēāļ§āļāļąāļāđāļāļāļāļāļāļąāļāļāļēāļāļĢāļ°āļāļīāļĐāļāđâ āđāļĨāļ°āļāļĩāđāđāļŦāđāđāļŦāđāļāļāļķāļāļāļēāļĢāđāļāđāļāļāļąāļāļāļāļāļāļąāļāļāļēāļāļĢāļ°āļāļīāļĐāļāđāđāļāļāļĨāļēāļāđāļĨāļāļāļĩ 2023 āļāļĩāđāļāļģāļĨāļąāļāđāļāđāļāđāļāļāļĒāđāļēāļāļāļļāđāļāļ·āļāļ āļāļąāđāļāđāļāļāđāļēāļāļāļāļŦāļĄāļēāļĒ āļāļēāļĢāļŠāļđāļāđāļŠāļĩāļĒāļāļģāļāļēāļāļāļāļāļāļĢāļīāļĐāļąāļāđāļāļ āđāļāļāļāļāļķāļāļāļļāļāļŠāļēāļŦāļāļĢāļĢāļĄāļĒāļēāđāļāļāļāļēāļāļ āļĢāļ§āļĄāļāļķāļāļāļēāļĒāļ āļēāļāļāļāļēāļāļāļāļāļāđāļāļāļāļāļāļāļĩāđāļāļ°āļāļāļīāļ§āļąāļāļīāļ§āļāļāļēāļĢ Search Engine āđāļāļāļĨāļāļāļāļēāļĨ 00:00 āđāļĢāļīāđāļĄāļĢāļēāļĒāļāļēāļĢ […]
āđāļāđāļāļēāļ MidJourney AI āļŠāļĢāđāļēāļāļāļĨāļāļēāļ : āļŠāļĢāđāļēāļāļāļēāļāļĻāļīāļĨāļāđāļāđāļ§āļĒāļāļģ āļāļąāļ midjourney | Right CG
āđāļāđāļāļēāļ MidJourney AI āļŠāļĢāđāļēāļāļāļĨāļāļēāļ : āļŠāļĢāđāļēāļāļāļēāļāļĻāļīāļĨāļāđāļāđāļ§āļĒāļāļģ āļāļąāļ midjourneyāđāļāđāļāļēāļ MidJourney AI āļŠāļĢāđāļēāļāļāļĨāļāļēāļ : āļŠāļĢāđāļēāļāļāļēāļāļĻāļīāļĨāļāđāļāđāļ§āļĒāļāļģ āļāļąāļ midjourneyāļāļāļāļāļāļāļļāļ āļāđāļāļ Right CGāļāļĢāļļāļāļē āļāļāļāļīāļāļāļēāļĄ āļāļĩāđurl video āđāļĢāļīāđāļĄāļāđāļāđāļāđāļāļēāļ midjourney āļŠāļĢāđāļēāļāļāļĨāļāļēāļāļĻāļīāļĨāļāļ°āļāđāļ§āļĒ AI āļāļĢāļļāļāļēāļāļĢāļ§āļāļŠāļāļ āļāđāļāļĄāļđāļĨ āļāļĩāļāļāļĢāļąāđāļ āđāļāļ·āđāļ āļāļ§āļēāļĄāļāļđāļāļāđāļāļ āļāļēāļāđāļ§āļāđāļāļāđ āđāļĄāđāļĄāļĩāđāļāļāļāļē āđāļŦāđāļāđāļāļĄāļđāļĨāļāļĩāđāļāļīāļāļāļĨāļēāļ āļŦāļēāļāļāļāļāļ§āļēāļĄāļāļīāļāļāļĨāļēāļ āļāļāļāļāđāļāļĄāļđāļĨ āļāļĢāļļāļāļēāđāļāđāļ [email protected] āļāļēāļāđāļ§āļāđāļāļāđāļāļ°āļĢāļĩāļāđāļāđāđāļāļāļĒāđāļēāļāđāļĢāđāļ§āļāļĩāđāļŠāļļāļ āļāļāļāļāļāļāļļāļ āļāđāļāļ Right CG āļāļĢāļļāļāļē āļāļāļāļīāļāļāļēāļĄ āļāļĩāđ youtube channel Right CG […]
āļŠāļĄāļąāļāļĢāđāļāđāļāļēāļ MidJourney āđāļāļāļĢāļēāļĒāđāļāļ·āļāļ $30 : āļ§āļīāļāļĩāđāļāđāļāļēāļ settings āļŠāļĢāđāļēāļāļŠāļĢāļĢāļāđāļāļĨāļāļēāļ | Right CG
āļŠāļĄāļąāļāļĢāđāļāđāļāļēāļ MidJourney āđāļāļāļĢāļēāļĒāđāļāļ·āļāļ $30 : āļ§āļīāļāļĩāđāļāđāļāļēāļ settings āļŠāļĢāđāļēāļāļŠāļĢāļĢāļāđāļāļĨāļāļēāļāļŠāļĄāļąāļāļĢāđāļāđāļāļēāļ MidJourney āđāļāļāļĢāļēāļĒāđāļāļ·āļāļ $30 : āļ§āļīāļāļĩāđāļāđāļāļēāļ settings āļŠāļĢāđāļēāļāļŠāļĢāļĢāļāđāļāļĨāļāļēāļāļāļāļāļāļāļāļļāļ āļāđāļāļ Right CGāļāļĢāļļāļāļē āļāļāļāļīāļāļāļēāļĄ āļāļĩāđurl video āļāļēāļĢāļŠāļĄāļąāļāļĢ midjourney āđāļāļāļĢāļēāļĒāđāļāļ·āļāļ $30 āļĨāļāļāđāļāđāļāļēāļ AI āđāļĨāļ° āđāļāđāļēāđāļāļāļ§āļēāļĄāļāļīāļāļāļāļ midjourney āļāļĢāļąāļāđāļāđāļāļāđāļē /settings āđāļāļ·āđāļāļāļēāļĢāļŠāļĢāđāļēāļāļŠāļĢāļĢāļāđāļ āļēāļ āļāļĢāļļāļāļēāļāļĢāļ§āļāļŠāļāļ āļāđāļāļĄāļđāļĨ āļāļĩāļāļāļĢāļąāđāļ āđāļāļ·āđāļ āļāļ§āļēāļĄāļāļđāļāļāđāļāļ āļāļēāļāđāļ§āļāđāļāļāđ āđāļĄāđāļĄāļĩāđāļāļāļāļē āđāļŦāđāļāđāļāļĄāļđāļĨāļāļĩāđāļāļīāļāļāļĨāļēāļ āļŦāļēāļāļāļāļāļ§āļēāļĄāļāļīāļāļāļĨāļēāļ āļāļāļāļāđāļāļĄāļđāļĨ āļāļĢāļļāļāļēāđāļāđāļ [email protected] āļāļēāļāđāļ§āļāđāļāļāđāļāļ°āļĢāļĩāļāđāļāđāđāļāļāļĒāđāļēāļāđāļĢāđāļ§āļāļĩāđāļŠāļļāļ āļāļāļāļāļāļāļļāļ āļāđāļāļ Right […]
āļāļģāđāļāļ·āļāļ !! āđāļ§āļāļāļĩāđāđāļĄāđāđāļāđāđāļ§āļāļāļĒāđāļēāļāđāļāđāļāļāļēāļāļāļēāļĢ āļāļāļ āļāļĨāļīāļāļ āļąāļāļāđ āļŠāļīāļāļāđāļē āļŦāļĢāļ·āļ āļāļđāđāđāļŦāđāļāļĢāļīāļāļēāļĢ āļāļĩāđ !!!
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Ultimate Dreambooth Training on Google Colab (Shivam Shrirao supports SD 2.1 too): https://youtu.be/mnCY8uM7E50
can you make the sagemaker studio notebook version?
Hi, can we use dreambooth in google colab to train Lora??
Thank you very much for the detailed tutorial. I have trained a SD + Dreambooth model and save a copy of the colab notebook at my Gdrive. Let's assume it is called model 1. If later I would like to generate a new model by training SD + Dreambooth + Lora + Latent Couple, how should I do to prevent the model 1from being overwritten or messed up with the new model, model 2 ? Any idea ? Or I could only save one ckpt model at one google account ? Thank you very much!
Hello Furkan, just want to say that what you are doing for us is amazing – giant thank you for that!!! Do you know how to prevent bleeding while training multiple concepts on DB in colab? I`ve read it could be related to 8bitADAM – what do you think? There is a code that you can add to Train part of this colab like adam_beta1, adam_beta2, adam_epsilon, adam_weight_decay and so on – should i tweak some of theese to prevent multiple concepts bleeding? I tried to train my previously trained model with new concept, changing a class name and name of class images – still my two characters that was trained separately looking somehow similar. Btw about class images – I`m using a set of 1500 real (not SD generated) images of people including shots of hands and poses with noise reduction in Gigapixel to get the best results for my trained model – hands, eyes and diversity in general is fantastic – i could not achieve the same result with SD generated images.
Thank you for your amazing knowledge of explaining every bit
I have a question because I have used your method and it has already succeeded, and now I want to retrain the model that I created.. I mean I want to add more of my pictures, knowing that I do not know the method. What it means is that I have added 50 pictures of myself and I have trained them, but what I want now is how to add 10 more pictures of me and what should be changed in the parameters
Once again thanks for your great efforts.
If you don't select convert to fp16, whick makes the model be 2GB, be careful that the code doesn't log an error when not having enough space to create the file. I tried to convert and my file never showed up, until I checked the FP16 box and when it showed up, I saw that I had almost no space left on my drive.
when converting weights to ckpt it gives me a error that there is no such file or directory. do you got any fix for that?
Hi Great Video but i have a Q – On Mac – Im using SD with google Collab and trying to use the batch img2img feature. When i try to put my input/output directories (pathname from my local docs folder) it doesnt recognise the pathname (cannot locate the file paths). Can you help me get round this? Thanks!
#Thumps #Up!
What is the link to that colab notebook? The link in the description takes me to a colab that trains whole models.
5:46 no more warm up steps? Is that not necessary anymore?
hi , what if i train my model in stable diffusion 2.0 , and i want to use that trained model in other custom model .Can i do that or do i have to train it again from the beginning ?
How do you change the sampling method in google colab? Also, how do I use the embeds (.pt & bin files) when sending the prompt programmatically?
Console output a message: 'The following part of your input was truncated because CLIP can only handle sequences up to 77 tokens'. How do I break the limit?
Can this ckpt file be use in stable diffusion automatic a1111 webui colab notebook?
x formers is not there for me
Is there any difference in quality between the Colab version and the Automatic1111 extension?
A tip on transferring large files between google accounts. Right-click the file and share with the account you want to transfer to. In google drive for the account you want to transfer to, click on the "Shared with me" section in the left-hand column. The file should now appear in the main window, right-click the file and select "Make a copy". This will make a copy of the file in the root directory of the second google account's drive.
How do I embed ".pt" modules with models in a google colab?
Canât load safetensor files in a google collabâĶ
A question – so do we need to train each time we play around with a different model ? Or can we train once on base 1.5 version & just add the link of the new model to generate images in that new style?
Amazing video as always. Thank you Dr.
Excellent thanks
I'm new to this and I have a question. If with 12 images it is 960 steps, then with 24 images should it be 1920 (double), or would it be 480 steps (half)? sorry for my english, i used google translate.
Where is this notebook at?
how put other link, ckpt? no standart ckpt
Best regards for your efforts
You changed my point of wiev
Do we have a source of various Stable Diffusion's finetuned versions based on different scenarios/templates?
It seems as itâs nearly impossible to get good outputs from the Stable Diffusion version off the shelf. What would you suggest as the right path? Will we need to train fine tuned models for each individual prompt?
Can you make a tutorial about pruning a Ckpt model?
You have improved the mic quality. Great effort. Thanks!
Was waiting for this video! Finally will be able to troubleshoot some issues.