Update app.py

app.py

@@ -13,7 +13,7 @@ import torch
 device = "cuda" if torch.cuda.is_available() else "cpu"
 model_repo_id = "runwayml/stable-diffusion-v1-5"  # Replace to the model you would like to use
 
-pipe = OnnxRuntimeModel.from_pretrained("runwayml/stable-diffusion-v1-5", provider="CPUExecutionProvider")
+pipe = OnnxRuntimeModel.from_pretrained("stabilityai/stable-diffusion-onnx", provider="CPUExecutionProvider")
 pipe = OnnxRuntimeModel.from_pretrained("model_path", provider="CPUExecutionProvider")
 pipe = DiffusionPipeline.from_pretrained(model_repo_id, torch_dtype=torch.float16)
 pipe.enable_attention_slicing()  # Divide o cálculo de atenção para melhorar o desempenho em dispositivos com menos memória