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---
base_model: stabilityai/stable-diffusion-xl-base-1.0
datasets:
- imomayiz/morocco-img
library_name: diffusers
tags:
- art
pipeline_tag: text-to-image
---
# SDXL LoRA DreamBooth - imomayiz/moroccan_sdxl_lora
<Gallery />
## Model description
### These are LoRA weights of sdxl-base-1.0 finetuned on modern moroccan cities images.
The weights were trained using [DreamBooth](https://dreambooth.github.io/).
VAE used for training: madebyollin/sdxl-vae-fp16-fix.
## Trigger words
You should use "modern moroccan city" to trigger the image generation.
## Download model
Weights for this model are available [here](https://huggingface.co/imomayiz/moroccan_sdxl_lora/tree/main).
## Dataset
The training images can be found [here](https://huggingface.co/datasets/imomayiz/morocco-img/tree/main/data/cities).
## How to use the model
```python
import torch
from diffusers import DiffusionPipeline, AutoencoderKL
repo_id = "imomayiz/moroccan_sdxl_lora"
# load lora weights and pipeline
vae = AutoencoderKL.from_pretrained("madebyollin/sdxl-vae-fp16-fix", torch_dtype=torch.float16)
pipe = DiffusionPipeline.from_pretrained(
"stabilityai/stable-diffusion-xl-base-1.0",
vae=vae,
torch_dtype=torch.float16,
variant="fp16",
use_safetensors=True
)
pipe.load_lora_weights(repo_id)
_ = pipe.to("cuda")
prompt = "a photo of a modern moroccan city"
# generate the image
image = pipe(prompt=prompt, num_inference_steps=30).images[0]
image
``` |