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Leg0W0rld – KonText LoRA

44

394

16

Verified:

SafeTensor

Type

LoRA

Stats

394

0

Reviews

Published

Aug 6, 2025

Base Model

Flux.1 Kontext

Training

Steps: 1,000

Trigger Words

Convert the picture into a Leg0W0rld miniature, entirely made out of Lego bricks and blocks

Hash

AutoV2
8AF0C459C5

The FLUX.1 [dev] Model is licensed by Black Forest Labs. Inc. under the FLUX.1 [dev] Non-Commercial License. Copyright Black Forest Labs. Inc.

IN NO EVENT SHALL BLACK FOREST LABS, INC. BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH USE OF THIS MODEL.

A LoRA model designed to transform any photo into a Lego-style miniature world, using only Lego bricks and blocks while preserving the original framing, composition, and perspective.

Use the prompt :
"Convert the picture into a Leg0W0rld miniature, entirely made out of Lego bricks and blocks"

By default, the model reconstructs the scene using Lego elements — including baseplates, studs, bricks, tiles, and minifigures — while maintaining the depth of field and lighting of the original image.

It works particularly well on illustrations or photographs with shallow depth of field, as the training dataset was largely composed of miniature-style images with tilt-shift aesthetics.

For characters, the output will vary:

  • If your prompt includes "a man", "a woman", or any human descriptor, the model will tend to generate Lego minifigures.

  • If you omit explicit mentions, it will more likely generate Lego sculptures made from bricks, resembling the human shape.

  • You can control the output style by specifying material, lighting, or camera depth elements.

You can enhance the Lego effect with additions like:

  • "visible Lego studs", "tilt-shift lens", "miniature lighting", "plastic Lego texture"

  • "replace people with Lego minifigures" or "Lego sculpture of a man" to guide figure rendering

  • "blocky vegetation", "Lego palm trees", "Lego fountain", etc.

Trained over 1000 steps with 38 curated image pairs, on a custom dataset emphasizing structural clarity, lighting accuracy, and stylistic coherence.

✦ Ideal for:

  • Turning real-life places into detailed Lego dioramas

  • Stylizing illustrations or cityscapes as brick-built worlds

  • Prototyping toy environments, animations, or stop-motion visuals