inital deployment1

app.py

@@ -6,22 +6,6 @@ from diffusers import StableDiffusionPipeline,AutoPipelineForImage2Image,Autoenc
 from transformers import AutoProcessor, AutoModel, AutoTokenizer
 from PIL import Image
 
-# Load the Real-Time Latent Consistency Model
-#device = "cuda" if torch.cuda.is_available() else "cpu"
-##realtime_pipe = StableDiffusionPipeline.from_pretrained("radames/Real-Time-Latent-Consistency-Model").to(device)
-
-# Load the model (optimized for inference)#
-#model_id = "radames/Real-Time-Latent-Consistency-Model"
-
-# model_id = "stabilityai/sd-turbo"
-# AutoPipelineForImage2Image.from_pretrained(base_model)
-# 
-# tokenizer = AutoTokenizer.from_pretrained(model_id)
-# 
-# realtime_pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
-# realtime_pipe.to("cuda")  # Use GPU for faster inference
-
-
 # 
 # 
 # def predict(prompt, frame):