|
--- |
|
tags: |
|
- text-to-image |
|
- stable-diffusion |
|
- lora |
|
- diffusers |
|
- template:sd-lora |
|
widget: |
|
- text: >- |
|
physical model, arch bridge, concrete, site, timber, wire trees, dark |
|
acrylic, reflection, studio lighting, SETLKT <lora:SE_CEM_BRIDGE:0.8> |
|
output: |
|
url: images/BAI.png |
|
- text: >- |
|
physical model, suspension bridge, concrete, site, timber, wire trees, dark |
|
acrylic, reflection, studio lighting, SETLKT <lora:SE_CEM_BRIDGE:0.8> |
|
output: |
|
url: images/AAI.png |
|
base_model: runwayml/stable-diffusion-v1-5 |
|
instance_prompt: >- |
|
physical model, arch bridge, suspension bridge, concrete, site, timber, wire |
|
trees, dark acrylic, reflection, studio lighting, SETLKT |
|
license: mit |
|
--- |
|
# SE_CEM_BRIDGE |
|
|
|
<Gallery /> |
|
|
|
## Model description |
|
|
|
Based on Research From: Case Study 1 of the Master's Thesis, "Structural Embodiment - Unified Workflow and Toolkit for Form-finding, Materialisation and Visualisation via Deep Learning Methods" by Tao Sun, conducted under the professorship of Structural Design and Chair of Architectural Informatics at the Technical University of Munich. |
|
|
|
This LoRA model is specifically trained on a dataset comprising 100 varied renderings produced during the first case study of the aforementioned thesis. These renderings serve as the foundational dataset, facilitating the model's ability to generate model-like views of bridge structures with high fidelity. |
|
|
|
Optimal Settings: |
|
|
|
LoRA weight: 0.8 |
|
|
|
Depth ControlNet Unit Weight: 0.6 |
|
|
|
Canny ControlNet Unit Weight: 0.3 |
|
|
|
Utilising both Depth and Canny ControlNet Units simultaneously with the specified weights enhances the model's effectiveness, producing detailed and context-aware visualisations of bridge structures. |
|
|
|
![xyz_grid-0000-2900010133.jpg](https://cdn-uploads.huggingface.co/production/uploads/6486dc1339134aca244a93b3/NF6IFxJ73sFERd6tNa2IG.jpeg) |
|
|
|
|
|
## Trigger words |
|
|
|
You should use `physical model` to trigger the image generation. |
|
|
|
You should use `arch bridge` to trigger the image generation. |
|
|
|
You should use `suspension bridge` to trigger the image generation. |
|
|
|
You should use `concrete` to trigger the image generation. |
|
|
|
You should use `site` to trigger the image generation. |
|
|
|
You should use `timber` to trigger the image generation. |
|
|
|
You should use `wire trees` to trigger the image generation. |
|
|
|
You should use `dark acrylic` to trigger the image generation. |
|
|
|
You should use `reflection` to trigger the image generation. |
|
|
|
You should use `studio lighting` to trigger the image generation. |
|
|
|
You should use `SETLKT` to trigger the image generation. |
|
|
|
|
|
## Download model |
|
|
|
Weights for this model are available in Safetensors format. |
|
|
|
[Download](/LupoSun/SE_CEM_BRIDGE/tree/main) them in the Files & versions tab. |
|
|