Emm Profile picture
Nov 5, 2022 14 tweets 8 min read Read on X
Let’s keep using #StableDiffusion to design or create #game assets, quickly and consistently.

In 15 min, generated an army of golems with similar shapes and sizes, but various “materials” (lava, rock, water, ice, forest, sand, gold…).

No in-painting is needed. Thread 🧵
Step 1 (as in my previous examples with chests - ), I made a Dreambooth finetune w. just 11 pics.

As soon as the model was trained, the first step was randomly generating a large set of images w. a simple prompt ("golem, detailed, realistic, 3D rendering")
Each golem can be extracted by removing the images' backgrounds (reco: @photoroom_app).

Some of the designs are amazing. However, the golems all look very similar to each other. Let's separate them into categories.
The following step is to prompt some more precise description (e.g. "golem with stone, lava, steel, fire")

Here's a first set of 16 golems that look consistent.
Because that initial set of lava golems was a bit simplistic, I used #img2img and an improved prompt to slightly increase the level of details (e.g. "3D rendering, trending on Artstation, etc.)

Here's the result:
And now, we can keep the same prompt and introduce many other variations while keeping the overall shape, posture, and level of detail.

Here are the ice golems (like the ones in Clash of Clans)
The forest golems! My favorites 🌲🌳
The sand golems 🏜️
And... the golden golem (directly inspired by the golden golem in Minecraft, via #img2img)
Now it's also possible to use the same finetune, and generate pictures that could be used elsewhere than in the game (ads, splash screens, etc).

Just add "Greg Rutkowski" in the prompt and start seing some cinematic composition, dramatic lighting, etc.
Some other tests I made...
As always, feel free to add any questions, feeback, remarks (and don't forget to like/follow/RT if you find this content interesting. I really appreciate it!)

Tomorrow, I'll keep sharing other explorations with #StableDiffusion 🚀🚀
(11/06 update - here's another run to create more characters, this time with "Space Marines" heavy infantry)

Link here >
Just posted another exploration around dwarves, and they turned out great 👀

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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 ✅
- pose ✅
- character ✅

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

Follow the steps below 👇 - 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 👇👇app.scenario.comImage
Read 13 tweets
Apr 20
Designing ultra-consistent and virtually unlimited game characters in minutes with #Scenario.

Keeping it super short 😅 — because it's actually super fast🤗.
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' 🙏

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 below👇👇.

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 coming👇👇)

What do you think? “A 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 👇👇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 up“ my characters. Detailed process in the following X tweets 🧵👇 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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