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Emm πŸ”œ GDC 2025 Profile picture
@emmanuel_2m
Dec 19, 2022 β€’ 25 tweets β€’ 11 min read β€’ Read on X
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This is how I generated 180 #pixelart flowers (16 types, one consistent style) in 20 min.

This 🧡is also a @Scenario_gg run-through (web app) - with the prompts I used and the step-by-step workflow.

Reach out for any questions.

#StableDiffusion #AI #AIart #Gaming #GameAssets
I started from a (royalty-free) dataset available on #Craftpix, with 10 images of pixelated flowers (such as the ones below).
Since the dimension of each image was only 32β€ŠΓ—β€Š32, I upscaled them 16x using @LospecOfficial, to get 512Γ—β€Š512 images.

Here's a before/after comparison.

Each image was sRGB / 8-bit.

I kept the grey background this time (I often remove it otherwise).
I trained a generator on @Scenario_gg (web app) with the upscaled images.

As shown in the screen recording below, launching a training takes less than 30 seconds.

I used "Art Style > Illustration" as the regularization class (more on classes later).
20 minutes later, the generator was trained and "ready for prompting" on app.scenario.gg (and also via the iOS app)

The next step is to start exploring some prompts and modifiers. It takes 30 seconds to generate a batch of 4-10 images, as shown below:
My first prompts are simple, such as "red flower, pixel art".

I also tried other modifiers, including "sRGB", "game icon", "game asset", "pixel", "8-bit", "16-bit", etc.

The goal is to gauge the quality of the generator and which modifiers should be kept going forward.
I landed on "XXX flower, pixel art, 8-bit, sRGB, icon" with "XXX" being the name or description of the flower (e.g. "white", "iris", etc).

In minutes, I could start prompting to get consistent images with the right style, and only varying "XXXβ€œ

Here's a pink rose 🌹
"Colorful Tulip, pixel art, 8-bit, sRGB, icon"
"Colorful Orchid flower, pixel art, 8-bit, sRGB, icon"
"Lily flower, pixel art, 8-bit, sRGB, icon"
"Daisy flower, pixel art, 8-bit, sRGB, icon"
"Marigold flower, pixel art, 8-bit, sRGB, icon"
"Jasmine flower, pixel art, 8-bit, sRGB, icon"
While we're here... I'm not a flower specialist. So I asked #ChatGPT to provide me with some ideas of well-known flower species.

Prompt: "list the names of 20 of the most beautiful flowers"

Done.
"Iris flower, pixel art, 8-bit, sRGB, icon"
"Peony flower, pixel art, 8-bit, sRGB, icon"
"Lavender flower, pixel art, 8-bit, sRGB, icon"

Note: it looks like the AI took "lavender" as the color of the flower, not precisely its type (genus/species).
"Hibiscus flower, pixel art, 8-bit, sRGB, icon"
"Chrysanthemum, pixel art, 8-bit, sRGB, icon"
"Clematis flower, pixel art, 8-bit, sRGB, icon
"Poppy flower, pixel art, 8-bit, sRGB, icon"
"Carnation flower, pixel art, 8-bit, sRGB, icon"
"Passion flower, pixel art, 8-bit, sRGB, icon"
I can access all my AI-generated images under the "Images" tab and also via the "Generator" icon itself.

I can easily see the prompts I used, compare batches, or download individual images (more filtering/sorting features are coming shortly).
While not all output images are perfect (some prompts could have been more precise, and some flowers could have looked better), it's still an excellent example of how to use Stable Diffusion finetunes (with @Scenario_gg) to explore a specific graphic direction, consistently.

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More from @emmanuel_2m

Emm πŸ”œ GDC 2025 Profile picture
Mar 19
Unity MCP, let's goooo! πŸš€

Absolutely loving that this is happening during GDC week πŸ˜…. My schedule's packed with meetings & meetups, so not much time to vibe code, but I spun up a basic demo for a platformer jumping game, in minutes.

This was fully prompted via Claude 3.7 (on the left), zero manual tweaks. Link below πŸ‘‡ and I'll keep sharing improvements and tips!

2025 is going to be a wild year for AI-powered game devs.
I used @JustinPBarnett's MCP on Github - check it out here

So far, it feels even easier than Blender, and I can’t wait to add more actions, assets, textures, and gameplay!github.com/justinpbarnett…
My main tip so far is that, just like with Blender MCP, you should proceed step by step >> one edit or element at a time.

Otherwise, Claude will go crazy and wil try doing everything at once (and fail).

Blender MCP experiments on my recent posts:
Read 4 tweets
Emm πŸ”œ GDC 2025 Profile picture
Mar 16
How I generated a high quality 3D model in Blender, from a simple 2D image, using Claude 3.7!

Screen capture + link + step-by-step process belowπŸ‘‡
First, you'll need Blender + a Blender MCP. For this project, I used @VisionaryxAI 's MCP available on Github.

See

The install steps are simple and explained on the Github page.github.com/VxASI/blender-…
Feed an image to Claude (or Cursor) - I selected a simple isometric scene initially made with a custom model on @Scenario_gg .

The custom model is "Blocky Elements" and typically creates minimalist 3D render-style images ➑️ a relevant model to use for this case.
Read 7 tweets
Emm πŸ”œ GDC 2025 Profile picture
Jun 2, 2024
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
Emm πŸ”œ GDC 2025 Profile picture
Apr 20, 2024
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
Emm πŸ”œ GDC 2025 Profile picture
Mar 12, 2024
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
Emm πŸ”œ GDC 2025 Profile picture
Feb 9, 2024
@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

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