The single-file layout stores all the model weights in a single file. All the model components (text encoder, UNet, VAE) weights are kept together instead of separately in subfolders. This can be a safetensors or ckpt file.  
<div class="flex justify-center">
<img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/single-file-layout.png"/>
</div>  
To load from a single-file layout, use the [`~loaders.FromSingleFileMixin.from_single_file`] method.  
```py
import torch
from diffusers import StableDiffusionXLPipeline

pipeline = StableDiffusionXLPipeline.from_single_file(
"https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/blob/main/sd_xl_base_1.0.safetensors",
torch_dtype=torch.float16,
variant="fp16",
use_safetensors=True,
).to("cuda")
```  
Benefits of using a single-file layout include:  
1. Easy compatibility with diffusion interfaces such as [ComfyUI](https://github.com/comfyanonymous/ComfyUI) or [Automatic1111](https://github.com/AUTOMATIC1111/stable-diffusion-webui) which commonly use a single-file layout.
2. Easier to manage (download and share) a single file.
/Users/nielsrogge/Documents/python_projecten/diffusers/docs/source/en/using-diffusers/other-formats.md