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Zero To Hero Generative AI - Become A Master

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  1. Lecture 1 : How To Install Python, Setup Virtual Environment VENV, Set Default Python System Path & Install Git
  2. Lecture 2 : Essential AI Tools and Libraries: A Guide to Python, Git, C++ Compile Tools, FFmpeg, CUDA, PyTorch
  3. Lecture 3 : Zero to Hero ControlNet Tutorial: Stable Diffusion Web UI Extension | Complete Feature Guide
  4. Lecture 4 : How To Find Best Stable Diffusion Generated Images By Using DeepFace AI - DreamBooth / LoRA Training
  5. Lecture 5 : Generate Studio Quality Realistic Photos By Kohya LoRA Stable Diffusion Training - Full Tutorial
  6. Lecture 6 : The END of Photography - Use AI to Make Your Own Studio Photos, FREE Via DreamBooth Training
  7. Lecture 7 : How To Use Stable Diffusion X-Large (SDXL) On Google Colab For Free
  8. Lecture 8 : Stable Diffusion XL (SDXL) Locally On Your PC - 8GB VRAM - Easy Tutorial With Automatic Installer
  9. Lecture 9 : Ultimate RunPod Tutorial For Stable Diffusion - Automatic1111 - Data Transfers, Extensions, CivitAI
  10. Lecture 10 : How To Use SDXL On RunPod Tutorial. Auto Installer & Refiner & Amazing Native Diffusers Based Gradio
  11. Lecture 11 : ComfyUI Tutorial - How to Install ComfyUI on Windows, RunPod & Google Colab | Stable Diffusion SDXL
  12. Lecture 12 : First Ever SDXL Training With Kohya LoRA - Stable Diffusion XL Training Will Replace Older Models
  13. Lecture 13 : How To Use SDXL in Automatic1111 Web UI - SD Web UI vs ComfyUI - Easy Local Install Tutorial / Guide
  14. Lecture 14 : Mind-Blowing Deepfake Tutorial: Turn Anyone into Your Favorite Movie Star! PC & Google Colab - roop
  15. Lecture 15 : How to use Stable Diffusion X-Large (SDXL) with Automatic1111 Web UI on RunPod - Easy Tutorial
  16. Lecture 16 : Become A Master Of SDXL Training With Kohya SS LoRAs - Combine Power Of Automatic1111 & SDXL LoRAs
  17. Lecture 17 : How To Do SDXL LoRA Training On RunPod With Kohya SS GUI Trainer & Use LoRAs With Automatic1111 UI
  18. Lecture 18 : How to Do SDXL Training For FREE with Kohya LoRA - Kaggle - NO GPU Required - Pwns Google Colab
  19. Lecture 19 : How Use Stable Diffusion, SDXL, ControlNet, LoRAs For FREE Without A GPU On Kaggle Like Google Colab
  20. Lecture 20 : Turn Videos Into Animation With Just 1 Click - ReRender A Video Tutorial
  21. Lecture 21 : Turn Videos Into Animation / 3D Just 1 Click - ReRender A Video Tutorial - Installer For RunPod
  22. Lecture 22 : Double Your Stable Diffusion Inference Speed with RTX Acceleration TensorRT: A Comprehensive Guide
  23. Lecture 23 : How to Install & Run TensorRT on RunPod, Unix, Linux for 2x Faster Stable Diffusion Inference Speed
  24. Lecture 24 : SOTA Image PreProcessing Scripts For Stable Diffusion Training - Auto Subject Crop & Face Focus
  25. Lecture 25 : Fooocus Stable Diffusion Web UI - Use SDXL Like You Are Using Midjourney - Easy To Use High Quality
  26. Lecture 26 : How To Do Stable Diffusion XL (SDXL) DreamBooth Training For Free - Utilizing Kaggle - Easy Tutorial
  27. Lecture 27 : Essential AI Tools and Libraries: A Guide to Python, Git, C++ Compile Tools, FFmpeg, CUDA, PyTorch
Lesson 4 of 27
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Lecture 4 : How To Find Best Stable Diffusion Generated Images By Using DeepFace AI – DreamBooth / LoRA Training

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If you are also getting tired of trying to find good images among thousands of generated images you don’t have to anymore. By using #DeepFace AI library, you can sort images by their similarity to your target images and quickly find the best Stable Diffusion #DreamBooth LoRA trained model generated images. I am explaining everything step by step and this tutorial requires 0 technical knowledge.

Regularization / Classification images download for both woman and man 5200 imgs ⤵️
https://www.patreon.com/posts/massive-4k-woman-87700469

Shown scripts download ⤵️
https://www.patreon.com/posts/sort-ai-images-82478694

Our Discord server ⤵️
https://bit.ly/SECoursesDiscord

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 🥰 ⤵️
https://www.patreon.com/SECourses

Technology & Science: News, Tips, Tutorials, Tricks, Best Applications, Guides, Reviews ⤵️

Playlist of #StableDiffusion Tutorials, Automatic1111 and Google Colab Guides, DreamBooth, Textual Inversion / Embedding, LoRA, AI Upscaling, Pix2Pix, Img2Img ⤵️

DeepFace GitHub Repo ⤵️
https://github.com/serengil/deepface

Our Stable Diffusion Repo ⤵️
https://github.com/FurkanGozukara/Stable-Diffusion

Scripts and the PDF Files Shown In Video ⤵️
https://www.patreon.com/posts/sort-ai-images-82478694

Amazing Prompts Collection for Stable Diffusion and Stable Diffusion X-Large (SDXL) ⤵️
https://github.com/FurkanGozukara/Stable-Diffusion/blob/main/Amazing-Prompts-List-For-Stable-Diffusion.md

0:00 Introduction to what DeepFace does and how we are going to utilize it
0:58 Let’s say you have generated 2000 images how to get good ones
1:17 This approach can be used for professional business purposes
1:32 If you are new to Stable Diffusion or image generation
2:17 Beginning with composing venv to install DeepFace
3:18 The training dataset images I have used for this tutorial
3:57 I have generated over 3000 images
4:06 The prompts I have used to generate images – how to use PNG info to find used prompts
5:23 How to write and use DeepFace best images finding script
9:18 How to use the script demonstration after you written and set it
11:20 Explanation of the values displayed during the script runtime
12:18 Sorted images from best to worst

Deep face is a deep learning technique that uses artificial intelligence to identify and recognize faces. It is a powerful tool that can be used for a variety of applications, including security, marketing, and entertainment.

Image similarity is the measure of how similar two images are. It can be used to find similar images in a database, to compare images for copyright infringement, or to create new images by blending together similar images.

Generative AI is a type of artificial intelligence that can create new data, such as images, text, or music. It is a powerful tool that can be used to create realistic images, to generate new content for marketing campaigns, or to create new forms of art.

Training your face for deep fake images is a process of collecting and labeling images of your face so that a deep learning model can learn to recognize your face. This process can be used to create deep fake images that are more realistic and believable.

Here are some of the benefits of using deep face, image similarity, generative AI, and training your face for deep fake images:

Security: Deep face can be used to identify and recognize faces, which can be used to improve security systems. For example, deep face can be used to authenticate users at access points or to prevent unauthorized access to buildings.
Marketing: Image similarity can be used to find similar images in a database, which can be used to improve marketing campaigns. For example, image similarity can be used to find similar images of products that are being sold online, which can help to improve the customer experience.
Entertainment: Generative AI can be used to create new images, text, or music, which can be used to create new forms of entertainment. For example, generative AI can be used to create realistic images of people or places that do not exist, which can be used to create new forms of art or to create new video games.
Education: Deep face can be used to identify and recognize faces, which can be used to improve educational experiences. For example, deep face can be used to track student attendance or to provide personalized learning experiences.
Here are some of the risks associated with using deep face, image similarity, generative AI, and training your face for deep fake images:

Privacy: Deep face can be used to identify and recognize faces, which can be a privacy concern. For example, deep face could be used to track people’s movements or to create facial recognition databases that could be used for surveillance.