Our Discord : https://discord.gg/HbqgGaZVmr. How to do free Stable Diffusion DreamBooth training on Google Colab for free. 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
In this video, I will show you how to create your own Lensa app-like magic avatars without using any third-party apps. Our method ensures 100% privacy, unlike uploading your personal photos to external apps and platforms. I am sure you have seen many people sharing their magic avatars on social media. While these paid apps use free open-source AI models, they still require payment. Additionally, AI image generation apps may keep your private photos and use them as they please. Instead of paying and trusting the goodwill of these paid apps, we will use these open-source public AI models ourselves.
I will provide step-by-step instructions, so even those with no technical expertise can follow along. We will be using Google’s Colab, a free #AI platform that offers access to a powerful GPU at no cost. Therefore, this tutorial can even be completed on a mobile phone without a PC. All you need is a Gmail account. Once we train the open-source image generation model #StableDiffusion with #DreamBooth by using our own portrait images, the possibilities are endless. Unlike other applications, the method I will demonstrate does not impose any limitations on image generation. You will be able to freely compose any kind of image as many times as you desire. You can not only generate your own avatars, but also any other images you want, such as highly detailed car images or landscapes.
22 May 2023 Tested Verified
Google colab notebook link (ignore error messages, skip hugging face token):
https://colab.research.google.com/github/FurkanGozukara/Stable-Diffusion/blob/main/DreamBooth/ShivamShriraoDreamBooth.ipynb
Huggingface https://huggingface.co/join
Bulk image editing: https://www.birme.net
For prompts check out the comments
0:00 Introduction and the content
2:04 How to check you have enough Google drive space
2:18 Starting to prepare Google Colab notebook for Stablediffusion Dreambooth model training
5:01 Register, login and generate Hugging Face token for training of the AI model
6:56 Continue training setup of the Stable Diffusion Dreambooth
7:41 Setting the settings of Stable Diffusion Dreambooth model
9:08 Providing our own photos to train the model to teach our own face image
11:58 How to install Paint NET for image cropping
12:12 How to crop and prepare your training images by using Paint NET
13:36 How bulk image crop online with birme net website
14:50 How to quickly check all images dimensions in a folder by using sort options (width, height) in detailed folder view
15:26 How to upload training images to Google Colab
17:53 Starting training with last settings / options
18:11 Optimal parameters for training of Stable Diffusion Dreambooth model AI
22:42 Training of the AI model done
25:55 Exiting application/notebook completely and starting again to show how to use trained model
28:00 Starting to generate AI / Lensa app magic avatars
30:20 First avatar is generated and displayed
31:14 Explanation of the positive / inference prompt input to generate avatar images
32:44 Explanation of the negative prompt input to avoid such images, guidance_scale & num_inference_steps parameter of Stable Diffusion
36:47 New avatars with different guidance_scale parameter
37:34 How to generate colored portrait avatars / profile images
38:57 Showcasing different styles of generated avatars
40:00 Debated usage of artist styles
40:26 Continue to generate more artworks
42:18 Prompt for asian style artworks like korean, or japan or anime
44:45 Long hair, different eye color version of me
46:43 Adding armor keyword
47:22 Further tuning of input prompt
51:21 Cherry picking the results
54:27 How to generate hundreds or thousands of magic avatars as a batch
55:59 Clip of ~200 Stable Diffusion AI generated avatars
57:40 Ending talk and discussion
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āđāļāļāļĨāļēāļāļāļāļāļāļĩāđāļĄāļĩ Generative AI āļāļĩāđāđāļāļĩāđāļĒāļ§āļāļąāļāļāļēāļĢāļŠāļĢāđāļēāļāļ āļēāļāļāļīāļāļīāļāļąāļĨāļāļĒāđāļēāļ Midjourney āļāļĩāđāđāļāđāļāļāļēāļĢāđāļāđāļāļēāļāļāļąāđāļ§āđāļāđāļĨāļ° Stable Diffusion āļāļĩāđāđāļāđāļāļāļēāļĢāđāļāđāļāļēāļāđāļāļāļĄāļ·āļāļāļēāļāļĩāļ āļĢāļ§āļĄāļāļķāļāđāļāđāļāđāļāļāļāļāļāļŠāļąāļāļāļēāļāļīāđāļāļĒāļāļĒāđāļēāļ Alisa āđāļāļīāđāļāđāļāļīāđāļĄāļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļāđāļāļāļēāļĢāļŠāļĢāđāļēāļāļ āļēāļāļāļĩāđāļāļĩāļāļķāđāļ āđāļĢāļēāđāļāļāļđāļāļąāļāļ§āđāļēāđāļāđāļāļāļąāđāļāļŠāļēāļĄāļāļąāļ§āļāļĩāđāđāļāđāļāļēāļāļāđāļēāļāļāļąāļāļāļĒāđāļēāļāđāļĢ āđāļĨāļ°āđāļāļĢāđāļŦāļĄāļēāļ°āļŠāļĄāļāļĩāđāļāļ°āđāļāđāļāļēāļ āļāļąāļāđāļāļāļāļĩāđāļāļāļĢāđāđāļŦāļĄāđāļŠāļģāļŦāļĢāļąāļāļŠāļĢāđāļēāļāļ āļēāļāļāļāļāļāļĨāļīāļŠāļēāđāļ§āļāļĢāđāļāļąāđāļ 3 !! Generate Image Version 3 āļāļĩāđāļāļ°āļĄāļĩāļāļĩāđāļāļāļĢāđāļāđāļēāļāđāđāļāļīāđāļĄāļāļķāđāļāļĄāļē 5 āļāļĒāđāļēāļ āļāļ·āļ 1. Save Vector āđāļāđāļāļāļēāļĢāļāļąāļāļāļķāļāļĢāļđāļāļ āļēāļāđāļŦāđāđāļāđāļāļāļēāļĄāļŠāļāļļāļĨ SVG. āđāļāđāļāđāļāļĨāđāļĢāļđāļāļ āļēāļāļāļĩāđāļŠāļēāļĄāļēāļĢāļāļāļĢāļąāļāļāļāļēāļāđāļŦāđāđāļŦāļāđāļŦāļĢāļ·āļāđāļĨāđāļāļĨāļāđāļāđāđāļāļĒāđāļĄāđāļŠāļđāļāđāļŠāļĩāļĒāļĢāļēāļĒāļĨāļ°āđāļāļĩāļĒāļāļāļāļāļ āļēāļ āđāļŦāļĄāļēāļ°āļŠāļģāļŦāļĢāļąāļāļāļģāđāļāđāļāđāđāļāļāđāļāļāļāļāļāļĄāļāļīāļ§āđāļāļāļĢāđ 2. Variant āđāļĄāļ·āđāļ Generate āļ āļēāļāđāļāđāļāļĢāļāļāļąāļāđāļāđāļĨāđāļ§ āļāļĩāđāļāļāļĢāđ Variant āļāļ°āļŠāļĢāđāļēāļāļ āļēāļāļāļĩāđāļĄāļĩāļāļāļāđāļāļĢāļ°āļāļāļāļāļĨāđāļēāļĒāđāļāļīāļĄāđāļāļīāđāļĄāļāļķāđāļāļĄāļēāļāļĩāļ 4 āļ āļēāļ āđāļŦāđāđāļĨāļ·āļāļ āđāļĨāļ°āđāļāđāļĨāļ°āļ āļēāļāļāļĩāđāđāļāđāļāļ°āļĄāļĩāļĢāļēāļĒāļĨāļ°āđāļāļĩāļĒāļāđāļāļĢāļđāļāļ āļēāļāļāļĩāđāđāļāļāļāđāļēāļāļāļąāļ 3. Upload image āļŠāļēāļĄāļēāļĢāļāļāļąāļāđāļŦāļĨāļāļ āļēāļāđāļŦāđāļāļĨāļīāļŠāļēāđāļāļĨāļĩāđāļĒāļāđāļāđāļāļĨāļīāļāļāđ URL āđāļāļ·āđāļāđāļāđāđāļāđāļāđāļāļ§āļāļēāļāđāļāļāļēāļĢ Generate āļ āļēāļāļāđāļāđāļāđāļāđ 4. Remove Text […]
āļāļāļāđāļāļāļāđāļēāļāļāđāļ§āļĒ AI ChatGPT āđāļĨāļ° Stable Diffusion XL
AI āļĄāļĩāļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļāļŦāļĨāļēāļāļŦāļĨāļēāļĒāļŦāļāļķāđāļāđāļāļāļąāđāļāļāļ·āļāļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļāđāļāļāļēāļĢāļāļāļāđāļāļāļāđāļēāļ āđāļĢāļēāļāļ°āđāļāđ AI āļāļĩāđāļāļ·āđāļāļ§āđāļē ChatGPT āđāļāļāļēāļĢāđāļāļĩāļĒāļāļāļģāļŠāļąāđāļāļāļĩāđāđāļĢāļĩāļĒāļāļ§āđāļē Prompt āđāļĨāļ° AI āļāļĩāđāļāļ·āđāļāļ§āđāļē Stable Diffusion XL āđāļāļāļēāļĢ Generate āļĢāļđāļāļ āļēāļ AI āļāļąāđāļāļŠāļāļāļāļąāļ§āļāļĩāđāļŠāļēāļĄāļēāļĢāļāļāļģāļāļēāļāļĢāđāļ§āļĄāļāļąāļāđāļāđāđāļāđāļāļāļĒāđāļēāļāļāļĩ #āļāļāļāđāļāļāļāđāļēāļ #ai #chatgpt  āļāļāļāļāļāļāļļāļ āļāđāļāļĄāļđāļĨāļāļēāļ Youtube āļāđāļāļ Ninetechno Channel āļāļāļāļāļāļāļļāļ āļāđāļāļĄāļđāļĨāļāļēāļ Youtube āļāđāļāļ Ninetechno Channelāļāļāļāđāļāļāļāđāļēāļāļāđāļ§āļĒ AI ChatGPT āđāļĨāļ° Stable Diffusion XLāļāļāļāļāļāļāļļāļ āļāđāļāļĄāļđāļĨāļāļēāļ Youtube āļāđāļāļ Ninetechno Channel  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
In this video, I will show you how to create your own Lensa app-like magic avatars without using any third-party apps. Our method ensures 100% privacy, unlike uploading your personal photos to external apps and platforms. I am sure you have seen many people sharing their magic avatars on social media. While these paid apps use free open-source AI models, they still require payment. Additionally, AI image generation apps may keep your private photos and use them as they please. Instead of paying and trusting the goodwill of these paid apps, we will use these open-source public AI models ourselves.
I will provide step-by-step instructions, so even those with no technical expertise can follow along. We will be using Google’s Colab, a free #AI platform that offers access to a powerful GPU at no cost. Therefore, this tutorial can even be completed on a mobile phone without a PC. All you need is a Gmail account. Once we train the open-source image generation model #StableDiffusion with #DreamBooth by using our own portrait images, the possibilities are endless. Unlike other applications, the method I will demonstrate does not impose any limitations on image generation. You will be able to freely compose any kind of image as many times as you desire. You can not only generate your own avatars, but also any other images you want, such as highly detailed car images or landscapes.
22 May 2023 Tested Verified
Google colab notebook link (ignore error messages, skip hugging face token):
https://colab.research.google.com/github/FurkanGozukara/Stable-Diffusion/blob/main/DreamBooth/ShivamShriraoDreamBooth.ipynb
Huggingface https://huggingface.co/join
Bulk image editing: https://www.birme.net
For prompts check out the comments
0:00 Introduction and the content
2:04 How to check you have enough Google drive space
2:18 Starting to prepare Google Colab notebook for Stablediffusion Dreambooth model training
5:01 Register, login and generate Hugging Face token for training of the AI model
6:56 Continue training setup of the Stable Diffusion Dreambooth
7:41 Setting the settings of Stable Diffusion Dreambooth model
9:08 Providing our own photos to train the model to teach our own face image
11:58 How to install Paint NET for image cropping
12:12 How to crop and prepare your training images by using Paint NET
13:36 How bulk image crop online with birme net website
14:50 How to quickly check all images dimensions in a folder by using sort options (width, height) in detailed folder view
15:26 How to upload training images to Google Colab
17:53 Starting training with last settings / options
18:11 Optimal parameters for training of Stable Diffusion Dreambooth model AI
22:42 Training of the AI model done
25:55 Exiting application/notebook completely and starting again to show how to use trained model
28:00 Starting to generate AI / Lensa app magic avatars
30:20 First avatar is generated and displayed
31:14 Explanation of the positive / inference prompt input to generate avatar images
32:44 Explanation of the negative prompt input to avoid such images, guidance_scale & num_inference_steps parameter of Stable Diffusion
36:47 New avatars with different guidance_scale parameter
37:34 How to generate colored portrait avatars / profile images
38:57 Showcasing different styles of generated avatars
40:00 Debated usage of artist styles
40:26 Continue to generate more artworks
42:18 Prompt for asian style artworks like korean, or japan or anime
44:45 Long hair, different eye color version of me
46:43 Adding armor keyword
47:22 Further tuning of input prompt
51:21 Cherry picking the results
54:27 How to generate hundreds or thousands of magic avatars as a batch
55:59 Clip of ~200 Stable Diffusion AI generated avatars
57:40 Ending talk and discussion
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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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āļŠāļĄāļąāļāļĢāđāļāđāļāļēāļ MidJourney āđāļāļāļĢāļēāļĒāđāļāļ·āļāļ $30 : āļ§āļīāļāļĩāđāļāđāļāļēāļ settings āļŠāļĢāđāļēāļāļŠāļĢāļĢāļāđāļāļĨāļāļēāļ | Right CG
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Next video : https://youtu.be/kIyqAdd_i10 – Discord : https://discord.gg/HbqgGaZVmr – Patreon : https://www.patreon.com/SECourses – Prompts below
Stable Diffusion Playlist (16+ Tutorial / Guide Videos) : https://www.youtube.com/playlist?list=PL_pbwdIyffsmclLl0O144nQRnezKlNdx3
Please join discord, mention me and ask me any questions. Thank you for like, subscribe, share and Patreon support. I am open to private consulting with Patreon subscription.
22 May 2023 Tested Verified – Google colab notebook link (ignore error messages, skip hugging face token): https://colab.research.google.com/github/FurkanGozukara/Stable-Diffusion/blob/main/DreamBooth/ShivamShriraoDreamBooth.ipynb
Change "by artgem" to any style you want e.g. rockstar games, pixar, disney, etc.
Example input prompt: face of YOUR_TRAINING_KEYWORD, symmetrical eyes, by artgem, artstation ,concept art,cinematic lighting, highly detailed, octane, digital painting, concept art, smooth, sharp focus, illustration, vibrant colors, 3d render, insanely detailed, photorealistic, hdr, 8k, anime, exquisite, slick, pixar, trending on artstation, Animated Film, Cinematography, Highly Detailed, Heavenly Dramatic Lighting, Highly Realistic, Epic High Dynamic Lighting, hyperrealism portrait, surreal, 3d liquid detailing fluid acrylic concept art, artstation, sharp focus, sharp, elegant, the most beautiful image ever seen, beautiful, post processing, picture of the day, ambient lighting, epic composition
Negative prompt: ugly, tiling, poorly drawn hands, poorly drawn feet, poorly drawn face, out of frame, extra limbs, disfigured, deformed, body out of frame, blurry, bad anatomy, blurred, watermark, grainy, signature, cut off, draft, amateur, multiple, gross, weird, uneven, furnishing, decorating, decoration, furniture, text, poor, low, basic, worst, juvenile, unprofessional, failure, crayon, oil, label, thousand hands
Thank you very much for the great tutorial. Is there any way to use lora model with this?
Hi guys if you get any of the two errors in order do this,
HFValidationError: Repo id must be in the form 'repo_name' or 'namespace/repo_name':
'/content/stable_diffusion_weights/generativefaces/2000'. Use `repo_type` argument if needed.
for the above error set the full path of your model till the last weight's folder in working dir
OSError: Error no file named diffusion_pytorch_model.bin found in directory
/content/drive/MyDrive/stable_diffusion_weights/generativefaces/2000/unet.
for the above one simply train the model again
Bende diyorum bu ingilizce neden tanidik geliyor Turk oldugundanmis:)
can i apply this on automatic 1111 ?
I followed the steps but I'm getting the following error
OSError: Error no file named diffusion_pytorch_model.bin found in directory
/content/drive/MyDrive/stable_diffusion_weights/dreamlike-photoreal/1920/unet.
I used a custom model based on your other video
Edit: I tried copying this file from the vae folder but then I got lots of weights errors
Got stuck at Minute 22: RuntimeError: Detected that PyTorch and torchvision were compiled with different
CUDA versions. PyTorch has CUDA Version=11.7 and torchvision has CUDA
Version=11.8. Please reinstall the torchvision that matches your PyTorch
install.
DIdn't work for me.
You are the saint of implementing Time Stamps for a youtube video, not that I'm skipping much. Is a great way to overview your video, see what is covered before watching.
I love that you even included the smallest of them, even if it's 20 seconds long. Some may call that overkill, but for those like me that want to check if the video covers what you are searching for, especially if never seen the channel before, it's great. Seeing a ton of detailed time stamps reflects very positively for quality to paying attention to detail. Good first impression.
hellal olsun
Thank you so much for this tutorial! I was wondering if there is a way to export this model and use it on deforum stable diffusion
Followed steps as best I could but getting this error when I try to run — any idea what to fix? : HFValidationError: Repo id must use alphanumeric chars or '-', '_', '.', '–'
and '..' are forbidden, '-' and '.' cannot start or end the name, max length is
96: ''.
Great video. But is it possible to do it on PC locally?
Thank you for this video my friend. God bless Turkiye from Morocco!
How can I use the ckpt model locally stable diffusion, which doesn't show up in my Google Drive
tÞrkçesi var mÄą biladerrr
how can i save that model? to use it in Automatic1111
I tried and the 4 images I got after training the data are not good which is why all subsequent images with prompts do not resemble me either. So what should I do now?
i have a few 2d characters like my profile picture but im having a hard time tryingto train ai with them…is this because my characters are unique and it cant find relatable images online or am i doing something wrong ?
Hi! Nice tutorial, thanks! Im having a problema, im always obtaining the same set of selfies when generating images. I put 24 images in the dataset, all in the same wall and room, just changing angles. When i try to generate images i receive the same selfies, no matter the prompt
It's giving me a warning "you are connected to a GPU runtime, but not utilizing the GPU". Do I have a problem here? Please guide.
Massive thanks for this fantastic tutorial!
Thanks for the video. In the google colab link, the step of installing xformers from precompiled wheel is missing. Is it going to affect my outcome?
Unfortunately the colab fails for me when trying to safe the files to drive ð
At 20:53, when I clicked the play button, it showed an error:
/bin/bash: accelerate: command not found
Hello
Thank you for your great video tutorial. I took time to follow your instructions but I am stuck at the stage 17:45 it shows: python3: can't open file '/content/train_dreambooth.py': [Errno 2] No such file or directory
I have researched but don't know how to fix it. Can you help me?
Once again thank you very much
What broke? I tried the colab notebook and got the below error – I can't follow along w/out fixing. Help please
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
torchvision 0.14.1+cu116 requires torch==1.13.1, but you have torch 2.0.0 which is incompatible.
torchtext 0.14.1 requires torch==1.13.1, but you have torch 2.0.0 which is incompatible.
torchaudio 0.13.1+cu116 requires torch==1.13.1, but you have torch 2.0.0 which is incompatible.
I have ran into a wall, I can't find the slot where I have to paste the Huggingface token after hitting the install button. The "Login to Huggingface" section does not exist. Also I did click on one of your links in the comments that does take me to the version that has Huggingface but I get this error when installing.
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
torchtext 0.14.1 requires torch==1.13.1, but you have torch 1.12.1+cu116 which is incompatible.
A wonderful introduction and explanations with enough details ! Great job !
Thanks for the video!
for step 2, there are following error information, could you please help?
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
torchvision 0.14.1+cu116 requires torch==1.13.1, but you have torch 2.0.0 which is incompatible.
torchtext 0.14.1 requires torch==1.13.1, but you have torch 2.0.0 which is incompatible.
torchaudio 0.13.1+cu116 requires torch==1.13.1, but you have torch 2.0.0 which is incompatible.
fastai 2.7.11 requires torch<1.14,>=1.7, but you have torch 2.0.0 which is incompatible.
heheh! Here you are thanks!!! You prevented me from buying this shit for 10$
teÅekkÞrler, bu konuda hiçbir Åey bilmediÄim halde kolayca yaptÄąm.
Dear friend, your tutorial is excellent!!
I have done with it quickly way, but I have a question, how I can export trained model to Lora in WebUI?
Thks for support!
Fantastic tutorial!! Would you mind sharing the training picture for me to study? I got poor results when I am using my own data.
it give that error 'No CUDA GPUs are available' when i run inference
Anyone encountered an issue "NameError: name 'concepts_list' is not defined" when performing step "Upload your images by running this cell."?
I don't know why but in my google collab I can't see install xformers
i followed the instructions, but the number of class images is 45 idk why, when i inserted another number in the code
#AI #Thumps #Up!
when i'm trying to train the model I get an error.
Unrecognized arguments: portraits, how should I solve this?
this doesn't function to me
fantastic Tutorials! following your steps I have generated some ckpt to use in AUTOMATIC1111. can I use civit AI model with my trained skpts?
when i am entering the input secourses and all it is just showing me that images . it does not modify them .
Thanks this tutorial amazing!!!
Thanks! I got an out of memory error at the "Run for generating image" stage. Can you help me?
OutOfMemoryError: CUDA out of memory. Tried to allocate 2.00 GiB (GPU 0; 14.75 GiB total capacity; 10.25 GiB already allocated; 1.28 GiB free; 12.24 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF
Very well explained sir, I followed every step and got really good results but when i use a long promt (the one you commented) i get the following error. Images are still generated but some promts are ignored.
Token indices sequence length is longer than the specified maximum sequence length for this model (140 > 77). Running this sequence through the model will result in indexing errors
The following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: