Update app.py

app.py

@@ -7,11 +7,11 @@ import torch
 import spaces
 
 vae = AutoencoderKL.from_pretrained("stabilityai/sd-vae-ft-mse")
-safety_checker=StableDiffusionSafetyChecker.from_pretrained("CompVis/stable-diffusion-safety-checker"),
-feature_extractor=CLIPFeatureExtractor.from_pretrained("openai/clip-vit-base-patch32")
+#safety_checker=StableDiffusionSafetyChecker.from_pretrained("CompVis/stable-diffusion-safety-checker"),
+#feature_extractor=CLIPFeatureExtractor.from_pretrained("openai/clip-vit-base-patch32")
 pretrain_model = "SG161222/Realistic_Vision_V5.1_noVAE"
 scheduler = DDIMScheduler.from_pretrained(pretrain_model, subfolder="scheduler")
-pipe = StableDiffusionPipeline.from_pretrained(pretrain_model, scheduler = scheduler, safety_checker=safety_checker, feature_extractor=feature_extractor, vae=vae, torch_dtype=torch.float16).to("cuda")
+pipe = StableDiffusionPipeline.from_pretrained(pretrain_model, scheduler = scheduler, vae=vae, torch_dtype=torch.float16).to("cuda")
 
 # # Optional. enable_xformers_memory_efficient_attention can save memory usage and increase inference speed. enable_model_cpu_offload and enable_vae_tiling can save memory usage.
 #pipe.enable_model_cpu_offload()