    
# LoRA text2image fine-tuning - johnowhitaker/lora_pn03_036sim

These are LoRA adaption weights for playgroundai/playground-v2-1024px-aesthetic. The weights were fine-tuned on a custom dataset.
![img_0](./image_0.png)
![img_1](./image_1.png)

Usage:
```python
import torch
from diffusers import DiffusionPipeline
device = "cuda:7"
pipe = DiffusionPipeline.from_pretrained(
    'playgroundai/playground-v2-1024px-aesthetic',
    torch_dtype=torch.float16,
    add_watermarker=False,
    variant="fp16"
)
pipe.to(device)
pipe.load_lora_weights('johnowhitaker/lora_pn03_036sim')
pipe("An owl wearing a tophat and tie, studio lighting, black background").images[0]
```


LoRA for the text encoder was enabled: False.

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

{"license": "creativeml-openrail-m", "tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora"], "base_model": "playgroundai/playground-v2-1024px-aesthetic", "dataset": "None", "inference": true}
diffusers stable-diffusion-xl stable-diffusion-xl-diffusers text-to-image lora base_model:playgroundai/playground-v2-1024px-aesthetic license:creativeml-openrail-m region:us