Text-to-Image
Diffusers
English
lora
stable-diffusion-xl
style
blueprint
technical-drawing
schematic
drafting
engineering
vintage
diagram
orthographic-projection
precise
19th-century
20th-century
grid-paper
style-lora
Instructions to use strkyyy/blueprint-technical with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use strkyyy/blueprint-technical with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("strkyyy/blueprint-technical") prompt = "blu3prnt, a vintage car schematic" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
| 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 | |
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| ## 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] | |
| ``` | |