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license: openrail++
language:
- en
library_name: diffusers
pipeline_tag: text-to-image
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: blu3prnt
tags:
- lora
- stable-diffusion-xl
- text-to-image
- diffusers
- style
- blueprint
- technical-drawing
- schematic
- drafting
- engineering
- vintage
- diagram
- orthographic-projection
- precise
- 19th-century
- 20th-century
- grid-paper
- lora
- style-lora
widget:
- text: "blu3prnt, a vintage car schematic"
- text: "blu3prnt, a fantasy sword with dimensions"
- text: "blu3prnt, a coffee machine exploded view"
---
# Vintage Engineering Blueprint SDXL LoRA Drawing
## What it does
This LoRA model transforms any input into a classic engineering blueprint style, featuring white technical line drawings on a deep cyan-blue background with precise orthographic projections and detailed dimension lines and labels.
## How to use
Trigger the effect by including the word `blu3prnt` in your prompt. For best results, set the strength between 0.6 and 1.0. Use the EMA sampler for a smoother output, adjusting steps as needed to achieve clarity and detail.
## Best for
- Vintage car schematics
- Fantasy weapon blueprints with dimensions
- Exploded view diagrams of machines like coffee makers or windmills
- Detailed cross-sections of complex machinery such as spaceships
## Tips
Apply `blu3prnt` to inputs that require technical precision and clarity. Avoid using overly detailed prompts which may overwhelm the model's ability to render clean, simple lines.
## Example Prompts
```
blu3prnt --detailed portrait of an engineer in a dimly lit workshop
```
```
blu3prnt --modern cityscape with towering skyscrapers at dusk
```
```
blu3prnt --close-up of a vintage mechanical clock with intricate gears
```
```
blu3prnt --a robot arm performing precise assembly in a cleanroom
```
```
blu3prnt --calm and serene evening scene with rolling hills and trees
```
```
blu3prnt --abstract representation of digital circuits on grid paper
```
## Trigger word
Activate with `blu3prnt`. Recommended strength: **0.9**.
## Showcase
## Usage with `diffusers`
```python
from diffusers import AutoPipelineForText2Image
import torch
pipe = AutoPipelineForText2Image.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", torch_dtype=torch.float16).to("cuda")
pipe.load_lora_weights("strkyyy/blueprint-technical")
image = pipe("blu3prnt, your prompt", num_inference_steps=30).images[0]
```
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