Update app.py

app.py

@@ -20,29 +20,18 @@ import gradio_user_history as gr_user_history
 from concurrent.futures import ThreadPoolExecutor
 import uuid
 
-DESCRIPTION = '''# Latent Consistency Model OpenVINO CPU
-Based on [Latency Consistency Model OpenVINO CPU](https://huggingface.co/spaces/deinferno/Latent_Consistency_Model_OpenVino_CPU) HF space 
-
-Converted from [SoteMix](https://huggingface.co/Disty0/SoteMix) to [LCM_SoteMix](https://huggingface.co/Disty0/LCM_SoteMix) and then to OpenVINO
-
-This model is for Anime art style.
-
-Faster but lower quality version with TAESD VAE: [LCM_SoteMix_OpenVINO_CPU_Space_TAESD](https://huggingface.co/spaces/Disty0/LCM_SoteMix_OpenVINO_CPU_Space_TAESD)
-
-[LCM Project page](https://latent-consistency-models.github.io)
-
-<p>Running on a Dual Core CPU with OpenVINO Acceleration</p>
+DESCRIPTION = '''# OpenVINO CPU
 '''
 
 MAX_SEED = np.iinfo(np.int32).max
 CACHE_EXAMPLES = os.getenv("CACHE_EXAMPLES") == "1"
 
-model_id = "Disty0/LCM_SoteMix"
+model_id = "rubbrband/realDream_11"
 batch_size = -1
 width = int(os.getenv("IMAGE_WIDTH", "512"))
 height = int(os.getenv("IMAGE_HEIGHT", "512"))
 num_images = int(os.getenv("NUM_IMAGES", "1"))
-guidance_scale = float(os.getenv("GUIDANCE_SCALE", "1.0"))
+guidance_scale = float(os.getenv("GUIDANCE_SCALE", "5.0"))
 
 pipe = OVStableDiffusionPipeline.from_pretrained(model_id, compile = False, ov_config = {"CACHE_DIR":""})
 pipe.reshape(batch_size=batch_size, height=height, width=width, num_images_per_prompt=num_images)