Update README.md

README.md

@@ -89,11 +89,42 @@ best quality, HD, ~*~aesthetic~*~,
 
 ## Use it with 🧨 diffusers
 ```python
-from diffusers import AutoPipelineForText2Image
 import torch
-        
-pipeline = AutoPipelineForText2Image.from_pretrained('dataautogpt3/ProteusV0.1', torch_dtype=torch.float16).to('cuda')        
-image = pipeline('black fluffy gorgeous dangerous cat animal creature, large orange eyes, big fluffy ears, piercing gaze, full moon, dark ambiance, best quality, extremely detailed').images[0]
+from diffusers import (
+    StableDiffusionXLPipeline, 
+    KDPM2AncestralDiscreteScheduler,
+    AutoencoderKL
+)
+
+# Load VAE component
+vae = AutoencoderKL.from_pretrained(
+    "madebyollin/sdxl-vae-fp16-fix", 
+    torch_dtype=torch.float16
+)
+
+# Configure the pipeline
+pipe = StableDiffusionXLPipeline.from_pretrained(
+    "dataautogpt3/ProteusV0.1", 
+    vae=vae,
+    torch_dtype=torch.float16, 
+    use_safetensors=True, 
+    variant="fp16"
+)
+pipe.scheduler = KDPM2AncestralDiscreteScheduler.from_config(pipe.scheduler.config)
+pipe.to('cuda')
+
+# Define prompts and generate image
+prompt = "black fluffy gorgeous dangerous cat animal creature, large orange eyes, big fluffy ears, piercing gaze, full moon, dark ambiance, best quality, extremely detailed"
+negative_prompt = "nsfw, bad quality, bad anatomy, worst quality, low quality, low resolutions, extra fingers, blur, blurry, ugly, wrongs proportions, watermark, image artifacts, lowres, ugly, jpeg artifacts, deformed, noisy image"
+
+image = pipe(
+    prompt, 
+    negative_prompt=negative_prompt, 
+    width=1024,
+    height=1024,
+    guidance_scale=7,
+    num_inference_steps=20
+).images[0]
 ```
 
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