Update app.py

app.py

@@ -54,7 +54,7 @@ def sample(zs, wts, prompt_tar="", skip=36, cfg_scale_tar=15, eta = 1):
     return img
 
 # load pipelines
-sd_model_id = "stabilityai/stable-diffusion-2"
+sd_model_id = "CompVis/stable-diffusion-v1-4"
 device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 sd_pipe = StableDiffusionPipeline.from_pretrained(sd_model_id).to(device)
 sd_pipe.scheduler = DDIMScheduler.from_config(sd_model_id, subfolder = "scheduler")