Another nice integration with Hugging Face Diffusers

Nobody has claimed this yet.

Github -> https://github.com/jnkl314/diffusers_LayerDiffuse

It integrates better with Diffusers by hiding away the implementation in a new pipeline class `StableDiffusionXLLayerDiffusePipeline`.

Generating a transparent image is now as easy as using any other Diffusers pipeline.

**Usage snippet**
```python
import torch
from diffusers_extension.pipeline_stable_diffusion_xl_layer_diffuse import StableDiffusionXLLayerDiffusePipeline

pipeline = StableDiffusionXLLayerDiffusePipeline.from_pretrained(
"stabilityai/stable-diffusion-xl-base-1.0",
torch_dtype=torch.float16,
variant="fp16",
).to("cuda")

images = pipeline(
prompt="portrait of woman in suit with messy hair, high resolution, photorealistic, uniform textureless background",
negative_prompt="ugly, bad, shadow, artifact, blurry",
num_inference_steps=20,
width=1024,
height=1024,
generator=torch.Generator(device="cuda").manual_seed(42)
).images

images[0].save("sdxl_layerdiffuse_result.png")
```
**Overview**

Start by reviewing the referenced diffusers_LayerDiffuse repository and the proposed StableDiffusionXLLayerDiffusePipeline usage in the issue. Compare its integration points with this repository and verify that the resulting pipeline can generate and save a transparent image using the shown Diffusers example.

Written by the indexing model from the issue text.