Training Course: The best neural Networks (AI) for improving, creating and editing images and videos [from scratch to Prof. level] from CGBandit
Due to the expansion of the program with additional materials, the course description was updated on November 19.
The online training course is suitable for a wide range of users, although it will be especially valuable for CG artists, designers, architects, social media managers, bloggers, photographers, 2D and 3D graphic artists, visual content creators, etc. The course curriculum is designed for both absolute beginners starting from scratch and users who already have experience working with neural networks.
Hello, dear friends and students! I’m Valentin Kuznetsov. I am the head of the CGBandit educational project.
I will be glad to present and tell you about the training program of our new course: "The best
neural Networks (AI) for improving, creating and editing images
and videos".
After completing the training, you will gain the knowledge and skills to use the most powerful
free and paid neural networks for professional improvement, creation and editing of images and
videos.
Neural networks analyzed in the course:
- Free of charge:
They are installed on your computer and function using a graphics card. The work is unlimited and possible even without an internet connection:
-Stable Diffusion (models SDXL, FLUX, etc.) in the ComfyUI interface. - Paid and partially paid neural networks, which you will learn about in the course
Thanks to the knowledge provided in the course, you will have an impressive level of graphics provided by neural networks.
This page that you are currently reading is a description of the course, we recommend that you open it on computer monitors, as this will allow you to fully see the examples of "before and after" images, having seen all the details. On a phone, due to the small screen, many important details of the images will go unnoticed.
The course program is the result of selecting the best from a huge array of information and tools done by our team, which will save you a lot of time and effort searching for the right material among the information junk on the Internet.
After completing the course, you will have the skills, the knowledge, and the AI tools in the following 8 directions.
Course content
- 1 DIRECTION - [AI Upscale & Enhancer] Improve the details and increase the resolution of images for free: photos, generations, 3D renderings, illustrations
- 2 DIRECTION - Video generation from image (Image to Video) using paid neural networks
- 3 DIRECTION - Enhancement of 3D models of people in your 3D visualizations
- 4 DIRECTION - Free image generation based on your sketches, drawings, photographs, 3D renderers and any images, using a control card, and, if necessary, with the addition of a reference using Stable Diffusion on SDXL, FLUX, etc. models
- 5 DIRECTION - INPAINT (insertion/inpainting) — a function for local image editing — adding objects to an image
- 6 DIRECTION - INPAINT - mask insertion using a control card, based on your sketches, drawings, images, 3D readers, etc. using the free Stable Diffusion on SDXL, FLUX, etc. models
- 7 DIRECTION - Creating images based on a text prompt [Promt] using free Stable Diffusion on SDXL, FLUX, and other paid neural networks
- 8 DIRECTION - Free image generation based on a REFERENCE, an example image using Stable Diffusion on SDXL, FLUX, etc. models.
AI Upscale & Enhancer by CGBandit
Improve the details and increase the resolution of images for free: photos, generations, 3D renderings, illustrations on your computer as much as you want, without paid subscriptions, even with the Internet turned off. You will receive a free neural tool «AI Upscale & Enhancer». You no longer need to give away $40 per month to online services with neural networks. Enhance any of your images on your graphics card as much as you want. The «AI Upscale & Enhancer» neural tool will allow you to increase image resolution with improved details, improving image quality, adding details, enhancing effect, improving chiaroscuro, texture quality, adding sharpness and clarity, working through each pixel and increasing the visual appeal of the image.
An example of the work of «AI Upscale & Enhancer»
An example of the work of «AI Upscale & Enhancer» in increasing the resolution and improving the details of the picture image
Example of improvement in 3D rendering of our student's graduation project
This is a tasty morsel for 3D and CG artists. Improve your 3D visualizations and increase the image resolution. Where the render engine falls short in terms of effectiveness and photorealism, the neural network will fill in the gaps, add detail and improve the light and shadow pattern, sculpt the volume, and work on those objects that are usually resource-intensive to perfect using pure 3D graphics: fuzzy carpets, plaids, people, plants, water, natural landscapes, and much more. Thanks to the workflow and access to neural networks that you will receive, you can significantly increase the photorealism of your 3D visualizations improving and detailing your renders.
An example of the work of "AI Upscale & Enhancer" in increasing the resolution and improving the details of the picture image
EXAMPLE
Video generation from image (Image to Video) using paid neural networks
We will teach you how to create PRO-level video flights using the best AI technologies to create video from image (Image to Video). You will save time and tens of thousands of rubles on tests and experiments by finding out which neural networks give the best results.
EXAMPLES (PRO LEVEL GRAPHICS) GENERATING VIDEOS THAT YOU WILL POSSESS AFTER COMPLETING THE COURSEEnhancement of 3D models of people in your 3D visualizations
Enhance 3D models of people to maximum photorealism in your 3D renders. Where the render engine falls short, AI technologies come to the rescue.
EXAMPLES
Free image generation based on your sketches, drawings, photographs, 3D renderers and any images, using a control card, and, if necessary, with the addition of a reference using Stable Diffusion on SDXL, FLUX, etc. models
EXAMPLES
INPAINT (insertion / inpainting) — the function of local image editing — adding objects to an image by effect or reference
EXAMPLES
Francois-Xavier Lalanne
Vitra - Akari 25N Floor Lamp
Thanks to this course you will master the technique of inpainting, which allows you to insert new elements into any part of an image (photo, 3D render, illustration, sketch).
Add anything you want: furniture, interior items, buildings, people, animals, accessories, or environmental details.
Work with control maps — set the general shape and geometry of the object.
Natural integration — the neural network “fits” new elements into the composition as if they had always been part of the image: it takes into account light, shadows, perspective, and atmosphere.
Unlimited creativity — change the interior of a room, expand the architectural landscape, bring photos to life, or add realistic details to your 3D renderings.
The result is a tool that allows you to not only edit, but also creatively and flexibly manipulate reality in an image.
As a bonus, the educational program will include additional master classes on Photoshop.
NPAINT - mask insertion using a control card, based on your sketches, drawings, images, 3D readers, etc. using the free Stable Diffusion on SDXL, FLUX, etc. models
EXAMPLES
Creating images based on a text prompt [Promt] using free Stable Diffusion on SDXL, FLUX, and other paid neural networks
EXAMPLES
Create images based on text prompts — the neural network will convert your text-based description into a complete visual image. You formulate your idea with words, specifying details, style, atmosphere, color scheme, and even emotional components, etc., and the neural network turns these words into a unique visual result.
This approach has a number of key advantages:
- Control over content: you specify what you want to see in the image, including details of objects, background, composition, and style.
- Rapid prototyping and experimentation: you can create multiple versions of a single idea and test different styles and effects without spending time on manual drawing.
- Creating unique content: each image is generated individually by a neural network, making it exclusive and protected in terms of copyright. You become the author of original content and eliminate the risk of copyright infringement.
Using text prompts turns image generation into an interactive creative process, where your words become a tool and the neural network becomes your “virtual artist.”
Social media – create stunning photos, vivid illustrations, creative posts, visuals for stories and covers that will grab your audience's attention.
Website and blog design – fill your pages with stylish banners, background images, and unique graphic elements.
Menus and promotional materials – generate attractive photos of dishes, promotional posters or brochures that will make your business stand out from the competition.
Covers and presentations – create memorable images for books, podcasts, albums, slides, or commercial proposals.
Versatile solutions – from profile images and logos to full-fledged art illustrations for printing.
Image generation based on a REFERENCE
Generate images based on one or more references, orienting the created new image based on similarity with the reference in style, color, etc.
EXAMPLES
The online course includes:
- Access to the course's training videos on our online platform Nodsmap.com. You
get 24/7 access to the course videos, training program structure, and related materials on our platform
Nodsmap.com as long as you have an internet
connection. You can watch the video lessons whenever it's
convenient for you. The training program will be released gradually over a period of 30 days from the
moment access is granted on the Nodsmap.com platform.
We do not intend to deny you access to the course after purchase, the ability to review the training material, receive both free and paid updates, or restrict your access to the course materials. However, for legal security reasons, in the event of an extraordinary circumstance, we are forced to play it safe and specify that the course is valid for 2 years. We do not plan to disable your access to the training material two years after the date of purchase. - Access to both paid and free updates on video tutorials within the course structure, as well as all important supporting materials: updated workflow templates for neural networks in the ComfyUI interface and important related knowledge; our new developments in the form of new workflows for generating, editing, and improving images; important professional updates on new models and nodes that are important for keeping up with technological advances in AI technologies. We constantly monitor new updates and provide you with the latest and best workflows. Due to the rapid pace of AI technology development, it is not profitable for us to fall behind in progress. Thus, thanks to our platform on which the training material will be provided, you will be connected to a truly significant channel of relevant technological updates.
- An activation key for video lessons that allows you to link the course to one device.
- Bonus Photoshop tutorials.
Cost of the training course
Price: 570 USD (there is a 43% discount now) = 320 USD.
To purchase the course or to ask questions, please send a direct message to the author and director of the CGBandit educational project. Valentin Kuznetsov [contacts]
Curatorial support
Separate from access to the course, you can purchase our curatorial support either immediately or some time
after your purchase.
The price of curatorial support is $120 for two months. And if you need more attention and
assistance, you can always extend your support.
Curatorial support includes:
- Feedback in online support chats.
- If necessary, we will call you and connect to your computer to resolve technical issues with the neural network.
System requirements
— For working with paid neural networks: any computer is suitable — generation takes place on the servers of companies, not on your device.
— For running Stable Diffusion SDXL and FLUX models at home, it is best to use:
- NVIDIA RTX20xx series graphics card or higher, with 6 GB of video memory;
- From 16 GB of RAM;
- Disk space: from 50 GB
If you are unsure and need help understanding whether the neural network will work on your computer using the SDXL and FLUX models, please contact Valentin Kuznetsov [contact details], author and leader of the CGBandit educational project, for assistance.
If you have a weak graphics card and currently have no plans to upgrade it, we will tell you in the course how easy and simple it is to rent a computer with a good graphics card remotely.