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Nov 30, 2022 β€’ 25 tweets β€’ 11 min read β€’ Read on X
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Here's how to precisely design a small building in a game (such as an isometric bunker) by fine-tuning #StableDiffusion

This example was inspired by #RedAlert, which I spent countless hours on (in 96-97 - pls don't call me old πŸ˜…)

CC scenario.gg
Style-consistency is paramount when it comes to designing #game assets.

I trained a fine-tune using @Scenario_gg (alpha), using 16 images (below), inspired by the Red Alert/Command & Conquer buildings.

Fun fact: I generated them all in... @midjourney.
I actually generated more than 200 buildings (and even some vehicles), from which I picked a smaller dataset, keeping enough variability within a certain consistent style.

I will keep the remaining data for new trainings in the coming days :)
Once the model was trained, I tried a few simple prompts to evaluate which type of isometric buildings it could generate.

Such as... a nuclear plant (not really in the original training dataset)
Or a factory
A soviet bunker.
A radar dome.
A garage...
A refinery.
And finally... the bunker. An easy example, in the style of a "pillbox" in Command & Conquer.

This board was generated using #img2img, from one initial image (to the right, from the original training dataset).
I tried other "shapes" for a bunker, such as the ones below (taking the β€œfactoryβ€œ image as the input data to img2img)

It worked too, but maybe not as well as the one above.
So I re-trained the model with two differences > reducing the dataset to 12 images (to increase the consistency, at the risk of lowering the variability). I also set the text encoder at 50% (vs. 100%)

And it worked much better. Here's a first bunker (tower-shaped)
Back to the "pillbox" shape.
The pillbox looked good, so I customized it as if it was a soviet bunker.

"isometric bunker, realistic, soviet flag, red, video game".

Boom done.
Of course, there has to be the "allied" counterpart.

"isometric bunker, realistic, USA flag, blue, allied, video game"
I changed the original image to generate bunker with a wider angle (and some structures around).

"isometric bunker, realistic, video game".

That's it. 3 words, a good fine-tune, a curated image (for img2img) and the possibilities are just infinite.
Close-up views

"Dataset engineering" >>> "prompt engineering"
Another img2img, another shape, another style... but the same "Command and Conquer-like" universe.
And another style of bunker or "command tower".

For this img2img batch, I used an ATC tower as an input (right)

The #AI transformed the control tower into a vertical bunker (and kept some of the original visual features)
I even explored other buildings, such as a #lighthouse, always in the same style (generated from the fine-tune)
This is just infinitely powerful. ESPECIALLY for artists with all the creativity, knowledge, and culture of gaming art.

Once you master different features (training finetunes, prompts, img2img, inpainting...), then the possibilities are just endless.
I predict game #studios will end up managing hundreds (if not thousands) of finetuned models, which will undergo some validation process before being used in production by various teams (artists, developers, designers, marketers...)
And if you still doubt it, this is a quick example of the SAME concept and methodology, but this time applied to the "Fallout" video game (post-apocalyptic #RPG)

A radar dome.
A radar dish/antenna.
A decaying building, etc etc.

If you like this concept, RT this thread, give us a follow (@Scenario_gg), or get on the waitlist (scenario.gg) πŸš€

We start rolling out in 10-15 days and after.

And let us know what you'd like to see next!

🀝

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More from @emmanuel_2m

Jun 2
Continuing from my last threads, and sharing how to create character turnarounds with the highest consistency ✨ for:

- style βœ…
- pose βœ…
- character βœ…

... using the #Scenario toolset to maintain all key details.

Follow the steps below πŸ‘‡ - no pencil needed ✏️. Let's dive in!
⚠️ First: it's not a 'one-click-and-done' process but instead a multi-step workflow, to be tailored to your creative goals.

Second: it ensures full creative control and deliberate designs from start to finish. Randomness or chance are sidelined.

To illustrate it, I revisited 2 characters I designed five months ago: the "girl with pink hair" (), and the "sorceress with a blue hat" ()

The other 2 turnarounds ("zombie" & "ninja") had some attention yesterday with 2M+ views ()

Image
Here are the key steps to creating stunning turnaround, using #Scenario ()

1/ Train or pick a character model (A).

2/ Optionaly>, pick a style model (B). Use it to create training images for (A), or you can merge both (A + B = C) for example.

3/ Utilize the custom model (A or C) to generate consistent characters. Then select a reference image to produce initial character turnarounds in your desired poses.

4/ Refine these initial outputs using Sketching and image2image.

5/ Select the best result and refine details in the Canvas for maximum consistency.

6/ Finally, upscale your final image (up to 8K resolution.)

Here are more details πŸ‘‡πŸ‘‡app.scenario.comImage
Read 13 tweets
Apr 20
Designing ultra-consistent and virtually unlimited game characters in minutes with #Scenario.

Keeping it super short πŸ˜… β€” because it's actually super fastπŸ€—.
Image
Image
1/ Select your model.

You can choose from our selection of 170+ game art models on

Or, train your own to better fit your style.

I trained this model with only 12 images, originally generated using @artificialguybr's '3D Render Style' πŸ™

Note: I'm intentionally training with consistent poses.

Spoiler alert 🚨: Next week, you'll be able to #upload your own models to Scenario! 🫣app.scenario.comImage
2/ Create consistent prompts.

It's best to maintain a similar structure between your prompts and captions.

I asked ChatGPT to use a format based on race, weapon, and outfit, with 50 initial prompts belowπŸ‘‡πŸ‘‡.

Adjust as needed.Image
Read 10 tweets
Mar 12
Just tested Midjourney's "Character Consistency" feature (-- cref). It's promising!

I don't think it beats a good #LoRA (yet). Especially when paired w. IP Adapter.

Below are some quick tests I ran on Scenario (high-def pics below + more updates comingπŸ‘‡πŸ‘‡)

What do you think? β€œA blue-skinned man with large yellow eyes, bald, wearing a BJJ gi with a black belt, raising his arm in victory on a podium, pointy ears, wrinkles, highly detailed, 35 mm, award-winning photography, bokeh, studio quality”
Left: input image
Right: MJ (--cw 0)
Image
Image
Left: input image
Right: MJ (--cw 50)
Image
Image
Read 5 tweets
Feb 9
@ClaireSilver12 - (I hope you don't mind me RT this for a broader reach and to share it with more users.)

Here's an advanced use case for the IP Adapter. You can adjust or remove the steps depending on the desired output/goal. Bear with me; it's actually quite straightforward.

1 - Train a LoRA on a specific subject (e.g., character).
2 - Blend the LoRA to perfectly capture the style (e.g., comic, cartoon, oil painting, 3D...).
3 - Run inference on that "blended" model.
4 - Select an image that stands out and use it as a reference with the IP Adapter.
5 - Modify the prompt to create variations of the subject.

Let's get started πŸ‘‡πŸ‘‡Image
1/ The first step is to train one (or more LoRA) models on a specific subject (e.g. character or object), or also a style.

The process is straightforward. I'll use the example of the "girl with pink hair" (😊🫠) that I shared before (12 training images)

Since the images were photographs, I'm creating a "mix" by adding one or two more LoRAs to the composition.

Additional LoRAs can introduce a specific style, moving away from the original photorealistic style.

You can choose platform LoRAs curated by @araminta_k and the Scenario team - See Image
Image
Read 10 tweets
Feb 1
"3D Outfit Transformation with AI"

I trained a LoRA model on , using a 3D model of an old armor, available on Sketchfab (CC0 license).

Now, I can apply it to seamlessly "dress upβ€œ my characters. Detailed process in the following X tweets πŸ§΅πŸ‘‡ Scenario.com

Image
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I found this nice 3D model of an ancient medieval outfit, crafted by @Blueprint_Games and shared on @Sketchfab under the CC BY 4.0 DEED license.

You can explore it here: . sketchfab.com/3d-models/old-…
Training the model is straightforward.

Simply select "New Model - Train" on . I use 9 images of the model, showcasing various angles and zoom levels, accompanied by concise captions (details below).

I selected the "Character" (= subject) preset. app.scenario.com
Image
Read 7 tweets
Jan 18
This could be the best model I've ever created for generating isometric buildings, on Scenario.

Output consistently match the style I wanted, and the model responds perfectly to (short) prompts, without any reference images needed.

It's a LoRA composition. More below.
Process: it's pretty simple.

I created a LoRA composition from 4⃣ distinct LoRA.

(i) - My own "Fantasy Buildings" LoRA
(ii) - Three LoRAs available on #Scenario: "Isometric Storybook", "Stylized Fantasy Iconic Imagery" and "Belgian School Comics".

The influence of each LoRA is below.Image
My prompt structure was dead simple... less than 10 words!

(type of building/scene), solid color background, highly detailed, centered. Image
Read 22 tweets

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