SDXL LoRA DreamBooth - yangchen123321/lora-trained-xl-gbps

Prompt

A realistic photo of a damaged concrete cover slab on the ground, with a broken hole exposing the dark underground cavity and pipes, cracked and chipped concrete edges, rough surface texture, outdoor pavement environment, civil infrastructure defect, engineering inspection perspective, natural lighting, high detail, high resolution, photorealistic

Prompt

A realistic photo of a damaged concrete cover slab on the ground, with a broken hole exposing the dark underground cavity and pipes, cracked and chipped concrete edges, rough surface texture, outdoor pavement environment, civil infrastructure defect, engineering inspection perspective, natural lighting, high detail, high resolution, photorealistic

Prompt

A realistic photo of a damaged concrete cover slab on the ground, with a broken hole exposing the dark underground cavity and pipes, cracked and chipped concrete edges, rough surface texture, outdoor pavement environment, civil infrastructure defect, engineering inspection perspective, natural lighting, high detail, high resolution, photorealistic

Prompt

A realistic photo of a damaged concrete cover slab on the ground, with a broken hole exposing the dark underground cavity and pipes, cracked and chipped concrete edges, rough surface texture, outdoor pavement environment, civil infrastructure defect, engineering inspection perspective, natural lighting, high detail, high resolution, photorealistic

Model description

These are yangchen123321/lora-trained-xl-gbps LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.

The weights were trained using DreamBooth.

LoRA for the text encoder was enabled: False.

Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.

Trigger words

You should use A realistic photo of a damaged concrete cover slab on the ground, with a broken hole exposing the dark underground cavity and pipes, cracked and chipped concrete edges, rough surface texture, outdoor pavement environment, civil infrastructure defect, engineering inspection perspective, natural lighting, high detail, high resolution, photorealistic to trigger the image generation.

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.

Intended uses & limitations

How to use

# TODO: add an example code snippet for running this diffusion pipeline

Limitations and bias

[TODO: provide examples of latent issues and potential remediations]

Training details

[TODO: describe the data used to train the model]