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Emm Profile picture
@emmanuel_2m
Dec 11, 2022 • 15 tweets • 7 min read • Read on X
Scrolly
Allow me share some of the coolest AI-monsters ever created (I’ve made 300 of them today using Scenario.gg)

I played around “sculpture”, “figurine”, “3D rendering”, “patina” - and a super creative finetune!

More examples below 🧵👇🏼

@Scenario_gg #GenAI #AI Image
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And there are many more. What do you think?

I need ChatGPT to create a name for each of them, and then all the stories :)

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More from @emmanuel_2m

Emm Profile picture
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
Emm Profile picture
Apr 20
Designing ultra-consistent and virtually unlimited game characters in minutes with #Scenario.

Keeping it super short 😅 — because it's actually super fast🤗.
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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
Emm Profile picture
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)
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Left: input image
Right: MJ (--cw 50)
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Read 5 tweets
Emm Profile picture
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
Emm Profile picture
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

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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
Emm Profile picture
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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