Generate STUNNING SET EXTENSIONS For Your Projects! [2D & 3D | FREE Blender + AI]

Summary

This video introduces two AI-driven workflows for creating seamless set extensions in film projects. The first workflow allows users to add any object to an image, similar to Photoshop’s tools but more advanced and free. The second workflow integrates 3D models into footage, considering lighting, colors, and style for a realistic result. The video provides a detailed step-by-step guide on how to install and use the required software, including setting up COM UI and managing models, and shows how to implement these workflows for both 2D and 3D set extensions in film scenes.

Takeaways

• 😀 Two free workflows are introduced for creating set extensions: one for selecting and adding items to images, and the other for integrating 3D models seamlessly.
• 💻 The first workflow functions similarly to Photoshop's generator field, allowing users to select areas of an image and add desired objects.
• 🌐 The second workflow allows for the input of 3D models, considering light direction, color, and style to blend them into footage.
• 🛠 Users need to install Com UI, a node-based interface for AI models, and follow a step-by-step guide to download models and tools.
• 🔧 The process includes tracking footage using After Effects, DaVinci Resolve, or Blender for camera tracking, followed by applying the set extension.
• 🌍 A demonstration of transforming a city image into a sci-fi scene with an overgrown spaceship ruin is shown as part of the workflow.
• 🎥 Users can generate high-quality image extensions, blending them with original footage by adjusting prompts, masks, and other settings.
• 🏠 A second 3D workflow is demonstrated for adding a 3D house to footage, using render passes in Blender to integrate AI-generated textures and models.
• 📈 The set extension workflows support scaling, depth passes, and line art for maintaining consistency in image resolution and style.
• 🤖 Users can easily swap textures or prompts to generate different variations of objects, such as turning a cozy farmhouse into a post-apocalyptic shed.

Q & A

What are the two workflows introduced in the video?

The first workflow allows you to select an area of your image and add anything you want, similar to Photoshop's generator field but better and free. The second workflow lets you input a 3D model, and the AI seamlessly integrates it, considering light direction, colors, and the general style of the original footage.

What are some key tools mentioned for tracking footage?

The video mentions tools like After Effects for camera tracking, DaVinci Resolve for point tracking, and Blender for full 3D tracking.

What is ComfyUI, and why is it important in the workflow?

ComfyUI is a node-based interface for Stable Diffusion and other AI models. It is crucial because the workflows introduced rely on ComfyUI to generate and integrate AI-powered set extensions or 3D elements seamlessly.

What models are required to run the workflows?

The models mentioned include the Wild Card Turbo checkpoint, two control net models, and the Ultra model. These are essential for generating images and blending them with the original footage.

How does the AI handle light direction and realism in the image generation process?

The AI understands the entire image, including elements like sunlight direction, casting correct shadows, and adjusting black values for distant parts of the image. This helps maintain realism and visual coherence.

How do you generate a set extension using a specific frame in ComfyUI?

First, export the desired frame, then select the area for the set extension in the mask editor. Input a prompt describing the extension (e.g., 'spaceship ruin'), and the AI generates an image that integrates seamlessly into the original footage.

What steps are taken to avoid visible seams between the original footage and the generated image?

The workflow uses masks to blur the seams, helping to blend the newly generated image with the original. Line art and reference control nets also help by extracting lines and using the original image as a reference for consistency.

How does the 3D set extension process differ from the 2D one?

For 3D set extensions, you need to track the 3D camera using software like Blender, model a simple geometry for the extension, and export render passes (e.g., depth and line art) that help the AI generate a 3D image, which is later integrated into the scene.

What is the purpose of render passes in the 3D workflow?

Render passes, such as the depth pass and line art pass, provide the AI with detailed geometry and spatial information. These passes help the AI accurately place and integrate the 3D extension into the original footage.

How can the generated textures be projected onto 3D models in Blender?

After generating the texture, you can create a projection shader in Blender, UV project the texture onto the 3D model, and match it to the original footage. This ensures that the texture aligns perfectly with the geometry and camera view.

Outlines

00:00

🚀 Introducing Two Free Workflows for Set Extensions

In this section, the creator introduces two innovative workflows designed to enhance set extensions in film projects. The first workflow allows users to select areas of an image and add elements, similar to Photoshop's generator field but free and more powerful. The second workflow enables seamless integration of 3D models into footage, taking into account lighting, colors, and style for realistic results. The creator expresses excitement about the workflows' potential and offers a step-by-step guide for using them, thanking viewers and Patreon supporters before diving into a project example of transforming footage from a small town into a bustling cityscape.

05:01

🎬 Step-by-Step: Setting Up the Workflow and Installing ComfyUI

This section details the first steps of the set extension process, focusing on setting up a workflow using AI tools. The creator explains how to extract the frame for editing, track footage, and install ComfyUI (a node-based interface for Stable Diffusion and other AI models). Viewers are guided to download necessary models and tools such as Git and the ComfyUI Manager. The tutorial continues with instructions on configuring the workflow in ComfyUI, installing any missing custom nodes, and setting render modes for better visual output. Lastly, the user is shown how to select areas in the footage for set extension using mask editing tools.

10:02

🌇 Generating the Set Extension: Adding Realistic Details

The creator demonstrates how to add specific elements (like a ruined spaceship) to a scene using AI-generated images. By tweaking prompts and settings, they show how to achieve desired results, such as removing unwanted elements from the generated images. The workflow automatically considers light direction, shadows, and atmospheric depth to ensure realism. The explanation continues with a breakdown of how the workflow blends new elements with original footage through scaling, masking, and line art extraction. A low denoising setting is recommended for maintaining consistency in the final result.

15:03

🖼️ Enhancing Image Composition: Scaling, Masking, and Control Nets

In this part, the workflow is further explained by covering how scaling down to HD resolution enhances composition when generating images with SDXL models. The workflow uses positive and negative prompts to control what elements appear or disappear. Two groups are used for mask creation: one for blending seams, and another to apply control nets that help blend the new image with the original. Control nets for line art and image references ensure that the generated images match the style of the original footage. The section also explores how different settings, such as denoising and mask thresholds, influence image integration.

🏠 Integrating 3D Models in Blender for Set Extensions

This section explains how to use a 3D model to create set extensions for scenes closer to the camera, using Blender for 3D tracking and rendering. The creator walks viewers through the process of tracking footage, solving camera motion, and setting up a 3D scene by modeling simple geometry. The model is projected into the scene, and additional render passes are used for AI image generation. This part highlights the use of mist and line art render passes, which help the AI understand depth and details, enhancing the realism of the generated image. The workflow is ideal for scenes where objects are integrated with camera movement.

🎨 Creating Render Passes for AI Image Generation

Here, the focus shifts to creating render passes like depth (mist) and line art in Blender, which are used by the AI to generate accurate images. The creator explains how to set up color management and activate passes like freestyle for line art. Viewers are shown how to adjust grayscale values to emphasize parts of the 3D model (like a house) for better AI processing. The workflow also uses UV projections to ensure that generated textures align correctly with 3D geometry. The importance of keeping the workflow flexible and customizable is emphasized, allowing for different levels of detail and creative freedom.

🏡 3D Texture Projection and Integration in Blender

This section dives deeper into the texture projection process in Blender. The creator demonstrates how to apply the AI-generated images as textures on 3D models using UV projection. They also share tips for avoiding issues like texture stretching by increasing subdivisions. The projected textures are then composited with the original footage, seamlessly integrating the AI-generated elements into the final render. Blender’s shading workspace is used to apply emission shaders to the model, ensuring that the textures fit the intended look. This part of the tutorial offers flexibility to adjust the texture as needed for specific scenes.

🎥 Final Touches: Compositing and Rendering in After Effects

In this final step, the creator shows how to take the rendered images and composite them into the original footage using After Effects. They demonstrate masking techniques to blend elements like grass or terrain with the AI-generated model. By adding blur and sharpen effects, the footage is adjusted to match the original’s compression and visual quality. The creator advises against compositing over grass, which can be difficult, but praises the overall result. They also showcase how easily new images can be swapped into the scene to explore different creative possibilities, such as changing a farmhouse into a post-apocalyptic shed.

🏢 Combining 2D and 3D Workflows for Dynamic Set Extensions

This section explores combining 2D set extensions with 3D elements for more complex compositions. The example given is of adding a 2D-generated skyline and then integrating a 3D office building into the same shot. Using Blender, the creator demonstrates how to export render passes for the new 3D element, project textures onto geometry, and seamlessly blend the 2D and 3D elements in After Effects. With rough masks and a few compositing tricks, the result is a highly dynamic and realistic set extension that can be easily adjusted with different prompts or model changes.

🎉 Final Thoughts and Encouragement for Creators

The video concludes with a message of encouragement to viewers, urging them to explore the workflows and create their own set extensions. The creator expresses excitement about the possibilities these techniques unlock and invites users to share their work. The video serves as a deep dive into AI-assisted filmmaking, emphasizing how powerful and accessible these tools can be for enhancing visual projects. The creator also reminds viewers of the exclusive resources available to Patreon supporters, further fostering a community of creators experimenting with AI tools.

Keywords

💡Set Extension

Set extension refers to the technique of expanding or altering a film set or scene using digital tools. In the video, this concept is central to the workflow being introduced. The speaker explains how users can enhance simple footage by adding elements like buildings, landscapes, or even spaceships, thereby creating more complex visual environments using AI.

💡ComfyUI

ComfyUI is a node-based interface for stable diffusion and other AI models. The video provides a step-by-step guide for installing ComfyUI, which plays a crucial role in helping users generate and integrate images into their footage seamlessly. The workflow revolves around using this tool to handle various stages of the image generation and set extension process.

💡Stable Diffusion

Stable Diffusion is a deep learning model used to generate high-quality images from text descriptions. It is mentioned in the video as part of the toolchain for creating realistic set extensions. The speaker uses Stable Diffusion to generate images that align with the original footage, blending new elements like spaceships or buildings into the scene.

💡3D Model Integration

This concept involves inserting 3D models into footage and blending them with the scene using AI. In the video, the speaker discusses how AI can seamlessly integrate 3D models by taking into account factors like lighting, colors, and the overall style of the original footage. The workflow makes it easy to add complex 3D structures, such as a farmhouse, into video scenes.

💡ControlNet

ControlNet is a neural network used to control AI-generated images by setting specific parameters like line art and depth. The speaker in the video explains how ControlNet is employed to refine the details of the generated images, ensuring that elements like lighting and shadows are accurate and align with the original footage. This helps maintain visual realism in the final output.

💡Camera Tracking

Camera tracking refers to the process of analyzing the motion of a camera within a shot and replicating it in a digital environment. In the video, this is essential for ensuring that set extensions and 3D elements stay in the correct position within the frame, even when the camera moves. The speaker provides options for tracking in After Effects, DaVinci Resolve, or Blender.

💡Prompt

A prompt is a text description used to guide AI in generating images. In the video, prompts are a key part of the workflow, as users input descriptions (e.g., 'spaceship ruin overgrown') to tell the AI what kind of image to create. The quality and specificity of prompts affect how well the generated image integrates with the original footage.

💡Render Pass

Render passes are individual layers of image data, such as lighting, shadows, or depth, that can be combined to create a final image. In the video, the speaker uses multiple render passes (like depth and line art) to ensure that the AI-generated set extensions align perfectly with the original scene. This is particularly important when adding 3D elements to the footage.

💡Upscaling

Upscaling refers to the process of increasing the resolution of an image while maintaining quality. The speaker in the video explains how the workflow generates images at a lower resolution for composition purposes and then upscales them later to match the original 4K footage. This helps with maintaining detail and ensuring that the generated elements look realistic in the final video.

💡Masking

Masking involves isolating parts of an image so that certain effects or adjustments can be applied only to specific areas. In the video, masking is used to define the parts of the image where set extensions will be added. The speaker also demonstrates how to refine masks using AI tools like ControlNet to make the integration of new elements smoother and more seamless.

Highlights

Developed two AI-based workflows for set extensions: one for adding elements to selected areas of an image and another for integrating 3D models seamlessly.

The AI considers light direction, colors, and the general style of the original footage to integrate 3D models naturally.

Step-by-step guidance is provided on how to set up and use these workflows, starting with footage preparation and tracking.

Introduced the use of 'comfyUI,' a node-based interface for Stable Diffusion and other AI models, which enhances the ease of workflow setup.

Detailed instructions on installing and setting up 'comfyUI,' including the necessary downloads like checkpoints and control net models.

Highlighted the process of masking, which allows adding set extensions by defining specific areas where elements should be generated.

Demonstrated how the workflow accurately integrates elements, considering shadows, sunlight, and atmospheric effects for realistic results.

Described the creation of masks to seamlessly blend newly generated images with the original composition using AI-controlled blurring techniques.

Showcased how a 2D-generated set extension can be upscaled and integrated into the original high-resolution footage without manual compositing.

Provided a 3D matte painting workflow example using Blender, including camera tracking, modeling, and integrating 3D objects with AI-generated textures.

Rendered passes like depth and line art passes are used to transfer scene geometry into the AI, allowing more accurate integration of textures.

The 3D workflow enables quick texture changes, allowing elements to be retextured or altered in appearance through simple adjustments in prompts.

Explained how the workflow can combine 2D and 3D set extensions to create complex scenes, such as adding foreground and background elements seamlessly.

Showed how adjustments to line art in image editors can enhance details, making the AI-generated elements look more broken, aged, or weathered.

Encouraged experimentation and creativity, highlighting that the workflows can generate professional-looking set extensions for movies or other projects with AI.

Transcripts

I've developed two workflows to help you

create amazing set extensions for your

projects the first one allows you to

select an area of your image and add

anything you want kind of like

photoshop's generator field but much

better and free and with the second one

you can even input a 3D model and the AI

will integrate it seamlessly taking into

account the light Direction the colors

and the general style of the original

footage and I'm still Blown Away by how

well this works and I can't wait to see

all the amazing projects that you're

going to create with it so I'm going to

show you step by step how to set up and

use these free workflows but first let

me quickly talk about the sponsor of

this video it's you thank you so much

for watching these videos and thank you

to my lovely patreon supporters who make

these videos possible if you want access

to exclusive workflows and resources and

an awesome AI Discord Community click

the link in the description and now

let's get

started let's say we're working on a

movie set in a bustling Metropolis like

New York but but we only have footage of

this town because we found it for free

on pixels still we really want to use

this as our establishing shot let's use

my workflow to transform it first use an

editing tool of your choice to save out

the frame where we want to add our set

extension in my case that's frame number

one and if you want you can already

track your footage I'm tracking the

camera and after effect but you can also

use the point tracker in daav Vinci

resolve or do a full 3d track of your

shot in blender and I'll show you these

options in more detail later but for now

now let's just click track camera and

let After Effects do its thing now we

need to install com UI a note-based

interface for stable diffusion and other

AI models and I created this free

stepbystep guide on how to install it

and where to download and put all the

models for everything to work so just go

to the official GitHub page scroll down

and download while that's downloading we

can install git I've already done this

but you just need to install the

Standalone version once comfyi is

downloaded you can put it anywhere you

like and

extracted and this extracted folder is

now your comi directory next you want to

download the com VII manager so just go

to the manager GitHub page scroll down

and right click on this link save link

as and put it inside of your comi folder

click save and once it's downloaded just

run

it you can then click run Nvidia GPU and

comi will start in your browser but now

we need a few models first we need our

checkpoint and this is just the base

model that we are going to use and I'm

using Wild Card turbo for this so just

go to the link right click save link as

go to comi models checkpoints and click

save let's download the first control

net the misto line right click save link

as go back to models control net and I

like to create a new folder for sdxl

models and just click save let's

download the second control net do the

same thing right click save link as and

we're already in the folder just click

save now go to the model manager and

search for Ultra and install this one

right here and that's it let's quickly

restart com UI and now you can just drag

and drop my workflows into the com UI

interface but you can see that a lot of

notes are missing but that's not a

problem just go to the manager and click

install missing custom notes select all

of them and click install and wait for

it to finish once it's done click

restart and wait for the installation to

finish and you can see our workflow is

here and ready to use but first let's go

to the settings here and change the link

render mode to straight just looks a bit

cleaner that way and I also want to go

to the manager and activate the preview

method Laten to RGB we're working from

left to right so let's start at the top

left corner here here you just need to

drag and drop the frame you just

exported now you can just right click

and open in mask editor and now let's

increase the thickness and I'm just

selecting the area where I want to add

our set extension to you can rightclick

to delete areas and once you're happy

with it just click save to note scroll

down and add a prompt and let's try

something crazy here let's add a

spaceship ruin overgrown broken sinking

into the ground and now you can just

click Q prompt and the image will start

generating and this first image already

looks really good but for the right part

here of the image it just added this

mountain here and I don't like that so

let's just try another seat and this

already looks really

cool yeah that's exactly what I had in

mind what I really love about this

workflow is that it understands the

whole image so you can see the sunlight

is actually coming from the right

direction it's casting the correct

shadows and even like the parts in the

image that are further away are behind

the atmosphere they have higher black

values which really adds to the realism

that we are going for so you can see

this workflow even though it looks

complicated is actually quite easy to

use but let me quickly walk you through

the whole thing so you really understand

what's happening in the first group here

first we scale the image down to an HD

resolution and that's just because the

composition looks much better with sdxl

when we create the image at an age

resolution so the idea is we scale the

image down and then we generate the

image and later we will upscale it again

I think I don't have to say too much to

The Prompt group here so we have a

positive prompt add all the things that

you want to see and a negative prompt

all the things that you don't want to

see in the image up here we have two

groups that will create masks for us the

first one will just take the mask that

you painted and just blur it a little

bit so that the seams are not as visible

if you want you can increase the radius

here but this usually works really well

down here we have a mask that will

select only the edges of the mask that

you created and this will be fed into a

line art control net this one will

extract the lines from the original

image and then apply this control net at

the edges of your mask and this just

helps to blend the newly generated image

with the original composition of the

image next to that we have a reference

control net that will just take the

original image as a reference for the

newly generated image so that the style

matches this all gets fed into to the K

sampler here it will generate an image

and in the next step it will be upscaled

and added on top of the original 4K

image you can play around with the D

noising value here a higher D noise will

add more detail but it can also break

the scale a little bit so I would

recommend keeping it quite low actually

this last mask setup will look at all

the parts of your image that have

changed and will try to isolate them

here you can play around with the

threshold and The Mask erode regions if

you have too many many of these spots

right here like you can see if I set it

too

low we have all these extra tiny spots

here resulting in a mask that looks like

this so we don't even have to create a

manual compositing mask in After Effects

we can just go back to the original

frame I'll just select a tracking marker

that is as far away as I want the set

extension to be then I import my PNG

image now we just need to make it 3D and

I'll just copy the position of the track

that I created change the orientation so

roughly like this and if we now click

play you can see that it stays in the

correct place now this workflow works

perfectly well for all types of shots

where the set extension is really far

away so we don't have any 3d parallx

effect but what if we want to add

something that's closer to the camera

look at this shot I took with my phone

for example I created a 3D track in

After Effects and now I want to add a

cozy Farmhouse so I generated this image

with comu ey so I'm using the exact same

technique and we can see that it works

okay for for a short amount of time but

then it falls apart and we can see that

this is just a 2D image so now let's use

my 3D Med painting workflow first we

must track the 3D camera so in blender I

delete everything go to the VFX motion

tracking workspace and open my clip I

click prefetch and set scene frames

switch the motion model to a fine

activate normalize bump the correlation

up

2.9 margin to

20 go to the

start and track the features add more

features in the end and track in the

other direction now I should have enough

tracks to work with I delete the ones

that look broken go to

solve and select two key frames where I

feel like that the parallx is strongest

so maybe 40 and 100 I check all the

refine options and click solve camera

motion this gives me a solve error of

0.5 which is actually really really good

so now I can click set up tracking scene

I'll select three tracking markers that

are on my ground and click

floor and I select one where I want the

house to be I think it's going to be

roughly here so I select that one and

click set origin now comes the fun part

modeling the house I use Simple box

modeling for this and I try to keep it

as simple as possible because the AI

textures will do a lot of the heavy

lifting but you can be as detailed and

precise as you like here I'll also leave

in this ground plane here because we

have this hard sunlight and I'm hoping

to catch some of the Shadows created by

the house so I can better blend the

images together now that we have a final

3D model we need a way to transfer the

scene geometry to the AI and if you

watch my previous videos and generating

full 3d environments with AI or

rendering with AI you know that we are

going to use render passes so first

let's make sure that our scene

resolution matches the original footage

and we also want to go to the render

properties and make sure that color

management is set to standard next we

want to activate the Mist pass and in my

case I want to go to the first frame and

click render image then let's go to the

compositing workflow and create a viewer

node and connect the Mist pass to the

viewer node and you can see this is

pretty much a depth pass where white

pixels are far away and black pixels are

close to the camera we actually want to

have that the other way around so let's

add an invert Noe and now we want to

focus all the information that we have

all the grayscale values on the house so

I add a curve node I shift the value so

that the front is fully white and the

back of our geometry is disappearing in

the darkness finally we can create a f

output node and select a location where

we want to save out our image and when

we now render the image we have a really

good depth pass so we could now use this

depth path to generate an image but you

can see that the window and the door is

really hard to see so this information

might not transfer during image

generation so we need to create another

render pass a line art pass for this we

just go to render and activate the

freestyle tool next you want to go to

view layer scroll down and under

freestyle activate as render pass go to

Freestyle color and change that to White

and when we now render our image and go

to the compositing workspace and connect

our viewer to the freestyle output we

have these really cool outlines now just

add an alpha over node connect the

freestyle to the second input and make

the first one black and add another file

output node finally we want to go to

render film and check

transparent and add another file output

node to the alpha output of of our image

when we now render our image we have

these three

passes now let's switch back to comu ey

and import the 3D version of the

workflow and using it is really simple

you just need to import the alpha render

pass here the original frame here down

here again you just add the prompt for

what you want to generate in this case a

cozy farmhouse

next you can just add the line art pass

here and the depth pass

here again make sure that we have the

Wild Card model selected here the mistol

line model here and we want to use the

Promax model here and then you can just

click Q prompt again and you can see it

will start generating a

house and this is integrating really

well but it's not quite what I had in

mind so let's try a few more seats oh

yes this is more like you can already

see this is integrating really well you

can see the resolution is quite low so

the next step will just upscale this

image at the moments it's set to two but

we can actually change that to four and

again you can play around with the D

noise value depending on how creative

you want the upscaler to be when

generating the images you can also play

around with the control net strengths

down here generally you want to keep

them quite low because this is allowing

for a more creative image generation but

the lower you set it the less L it will

also stick to your original geometry you

so you kind of have to find a middle way

but as you can see these values usually

work really well as a starting point so

now we can already switch back to

blender here I want to select my house

and create a new Shader and let's call

that projection go to the shading

workspace delete the principled bsdf and

create an emission Shader and connect it

and then I'm just going to drag and drop

the upscaled image in here and connect

it to the color now I can go to layout

make sure that you're on the right frame

in my case I created the render pass on

the first frame so let's go to the first

frame go to edit mode and select all the

faces and click UV project from

View and now the texture matches up

perfectly we can repeat the same steps

for the rest of the geometry so for the

floor I'm also just switching to the

projection Shader go to edit select

everything and click project from

view if you have some weird stretching

going on or it's not looking correct

it's probably because you don't have

enough subdivisions but you can always

just add more and reproject it next next

make sure that your composite output is

connected to the image down here and

render out the sequence oh and if it's

really slow like this make sure to

deactivate the freestyle tool and you

can also click M to mute all the other

file outputs because we don't need all

the render passes for all the other

frames so now I click render again and

it's a lot faster I then brought the

footage over to After Effects and

created a rough mask for the ground

plane just by keying the grass and

blurring the edges I also added blur and

sharpen effects to match the iPhone's

extreme compression and I highly

recommend you don't try to integrate

something into grass uh that was really

annoying but I mean you get the idea I

think the effect looks really cool and

with some extra compositing it could

look amazing another cool thing about

this work is that we can very quickly

try out different textures let's say we

don't want this cozy looking farmhous

but like a post-apocalyptic shed for

this I can just go back into comu eye

change the prompt generate a new image

switch it out in blender rerender the

sequence and then I can just drag and

drop it onto the previous clip in After

Effects and it's already integrated and

this looks really good but let's say we

want to add more detail we can simply do

that by opening the line art in an image

editor like Photoshop for example and

just painting new lines on top of the

image I can then just switch out the

image in com VI eye and generate a new

one and now the shed looks really really

broken and of course we can also combine

these two workflows so that we can add

like 2D set extensions for the

background and a 3D set set extension

for the foreground let's go back to the

shot for example where we added the

skyline we added the skyline and it

looks really good but let's say we want

an office building in front of it a

giant office tower so let's just add a

few boxes to the scene export our render

passes throw them into comfu eye add a

prompt for like an office building

generate a few images select one project

it in blender render the sequence and

throw it into After Effects create some

rough masks for the foreground and it

just looks really

cool so I hope you're as excited as I am

about this technique and I hope you try

it out if you like these AI deep Dives

want to support my work and gain access

to exclusive example files like for

example the blender files consider

supporting me on patreon so thank you

very much for watching I hope you will

create something amazing with these

workflows make sure to tag me in your

work or share it with me I always love

to see what you come up with and see you

next time for the next AI workflow