Update app.py

app.py

@@ -350,14 +350,14 @@ def genie (Model, Prompt, negative_prompt, height, width, scale, steps, seed, re
     if Model == 'CascadeXL':
         torch.cuda.empty_cache()
         from diffusers import StableCascadeCombinedPipeline
-        pipe = StableCascadeCombinedPipeline.from_pretrained("stabilityai/stable-cascade", variant="bf16", torch_dtype=torch.bfloat16)
+        pipe = StableCascadeCombinedPipeline.from_pretrained("stabilityai/stable-cascade", variant="bf16", torch_dtype=torch.bfloat16, safety_checker=None)
         pipe.enable_xformers_memory_efficient_attention()
         pipe = pipe.to(device)
         image = pipe(prompt=Prompt, negative_prompt=negative_prompt, num_inference_steps=10, prior_num_inference_steps=20, prior_guidance_scale=3.0, width=width, height=height).images[0]
         
         if upscale == 'Yes':
             torch.cuda.empty_cache()
-            upscaler = DiffusionPipeline.from_pretrained("stabilityai/sd-x2-latent-upscaler", torch_dtype=torch.float16, use_safetensors=True, safety_checker=None)
+            upscaler = DiffusionPipeline.from_pretrained("stabilityai/sd-x2-latent-upscaler", torch_dtype=torch.float16, use_safetensors=True)
             upscaler.enable_xformers_memory_efficient_attention()
             upscaler = upscaler.to(device)
             torch.cuda.empty_cache()