Update README.md

README.md

@@ -13,9 +13,42 @@ SDXS is a model that can generate high-resolution images in real-time based on p
 For more information, please refer to our research paper: [SDXS: Real-Time One-Step Latent Diffusion Models with Image Conditions](https://arxiv.org/abs/2403.16627). 
 We open-source the model as part of the research.
 
-SDXS-512-DreamShaper-Anime is the anime-style LoRA for [SDXS-512-DreamShaper](https://huggingface.co/IDKiro/sdxs-512-dreamshaper).
+SDXS-512-DreamShaper-Anime is the anime-style **LoRA** for [SDXS-512-DreamShaper](https://huggingface.co/IDKiro/sdxs-512-dreamshaper).
 Watch [our repo](https://github.com/IDKiro/sdxs) for any updates.
 
+
+## Diffusers Usage
+
+![](output.png)
+
+```python
+import torch
+from diffusers import StableDiffusionPipeline
+import peft
+
+repo = "IDKiro/sdxs-512-dreamshaper"
+lora_repo = "IDKiro/sdxs-512-dreamshaper-anime"
+seed = 42
+weight_type = torch.float16     # or float32
+
+# Load model.
+pipe = StableDiffusionPipeline.from_pretrained(repo, torch_dtype=weight_type)
+pipe.unet = PeftModel.from_pretrained(pipe.unet, lora_repo)
+pipe.to("cuda")
+
+prompt = "a close-up picture of an old man standing in the rain"
+
+# Ensure using 1 inference step and CFG set to 0.
+image = pipe(
+    prompt, 
+    num_inference_steps=1, 
+    guidance_scale=0,
+    generator=torch.Generator(device="cuda").manual_seed(seed)
+).images[0]
+
+image.save("output.png")
+```
+
 ## Cite Our Work
 
 ```