File size: 2,770 Bytes
1c23197 2d43123 1c23197 2d43123 23d7fb3 1c23197 23d7fb3 1c23197 23d7fb3 1c23197 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 |
---
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.
## 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.
|