How to use from the
Use from the
Diffusers library
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("yangchen123321/lora-trained-xl-dx_dg-1")

prompt = "8K, high-voltage power lines, 1 broken frayed cable with twisted and blackened strands, sharp focus on the damaged wire, blurred green mountainous background with distant wind turbines, bright daylight, drone patrol perspective..\n"
image = pipe(prompt).images[0]

SDXL LoRA DreamBooth - yangchen123321/lora-trained-xl-dx_dg-1

Prompt
8K, high-voltage power lines, 1 broken frayed cable with twisted and blackened strands, sharp focus on the damaged wire, blurred green mountainous background with distant wind turbines, bright daylight, drone patrol perspective..
Prompt
8K, high-voltage power lines, 1 broken frayed cable with twisted and blackened strands, sharp focus on the damaged wire, blurred green mountainous background with distant wind turbines, bright daylight, drone patrol perspective..
Prompt
8K, high-voltage power lines, 1 broken frayed cable with twisted and blackened strands, sharp focus on the damaged wire, blurred green mountainous background with distant wind turbines, bright daylight, drone patrol perspective..
Prompt
8K, high-voltage power lines, 1 broken frayed cable with twisted and blackened strands, sharp focus on the damaged wire, blurred green mountainous background with distant wind turbines, bright daylight, drone patrol perspective..

Model description

These are yangchen123321/lora-trained-xl-dx_dg-1 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 8K, high-voltage power lines, 1 broken frayed cable with twisted and blackened strands, sharp focus on the damaged wire, blurred green mountainous background with distant wind turbines, bright daylight, drone patrol perspective.. 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]

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