---
library_name: diffusers
license: mit
---
## Juggernaut Diffusion XL Model Card

Juggernaut Diffusion XL is a latent text-to-image diffusion model capable of generating images of people, mainly, and other things. For more information about how Stable Diffusion functions, please have a look at 🤗's [Stable Diffusion blog](https://huggingface.co/blog/stable_diffusion).

You can use this with the 🧨Diffusers library from [Hugging Face](https://huggingface.co).

![So pretty, right?](pipe.png)

### Diffusers
```py
from diffusers import StableDiffusionXLPipeline
import torch

pipeline = StableDiffusionXLPipeline.from_pretrained("nroggendorff/juggernautxl").to("cuda")

image = pipeline(prompt="a girl standing in the rain").images[0]
image.save("not.png")
```

### Model Details
- `train_batch_size`: 1
- `gradient_accumulation_steps`: 4
- `learning_rate`: 1e-2
- `lr_warmup_steps`: 500
- `mixed_precision`: "fp16"
- `eval_metric`: "mean_squared_error"

### Limitations

- The model does not achieve perfect photorealism
- The model cannot render legible text
  
### Developed by
- Noa Linden Roggendorff

*This model card was written by Noa Roggendorff and is based on the [Stable Diffusion v1-5 Model Card](https://huggingface.co/runwayml/stable-diffusion-v1-5).*