Update README.md

README.md

@@ -17,8 +17,51 @@ pip install optimum[openvino]
 To load your model you can do as follows:
 
 ```python
+import huggingface_hub as hf_hub
 from optimum.intel import OVStableDiffusionPipeline
+from diffusers import  LCMScheduler
+import torch
+
 
 model_id = "hsuwill000/LCM-kotosmix_diffusers-openvino"
-model = OVStableDiffusionPipeline.from_pretrained(model_id)
+
+HIGH = 1024
+WIDTH = 1024
+
+batch_size = -1  # Or set it to a specific positive integer if needed
+
+prompt="agirl, anime," 
+
+negative_prompt="(deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy,\
+    extra limb, missing limb, floating limbs, (mutated hands and fingers:1.4), disconnected limbs, \
+    mutation, mutated, ugly, disgusting, blurry, amputation"
+
+pipe = OVStableDiffusionPipeline.from_pretrained(
+    model_id,
+    compile=False,
+    ov_config={"CACHE_DIR": ""},
+    torch_dtype=torch.bfloat16,  # More standard dtype for speed
+    safety_checker=None,
+    use_safetensors=False,
+)
+pipe.scheduler = LCMScheduler.from_config(pipe.scheduler.config)
+
+print(pipe.scheduler.compatibles)
+pipe.reshape(batch_size=batch_size, height=HIGH, width=WIDTH, num_images_per_prompt=1)
+pipe.compile()
+
+image = pipe(
+    prompt=prompt,
+    negative_prompt=negative_prompt,
+    width=WIDTH,
+    height=HIGH,
+    guidance_scale=2,
+    num_inference_steps=4,
+    num_images_per_prompt=1,
+).images[0]
+
+
+image.save("test.png")
 ```
+
+