Update app.py

app.py

@@ -8,7 +8,7 @@ if torch.cuda.is_available():
     PYTORCH_CUDA_ALLOC_CONF={'max_split_size_mb': 6000}
     torch.cuda.max_memory_allocated(device=device)
     torch.cuda.empty_cache()
-    pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", torch_dtype=torch.float16, variant="fp16", use_safetensors=True)
+    pipe = DiffusionPipeline.from_pretrained("SG161222/RealVisXL_V1.0", torch_dtype=torch.float16, variant="fp16", use_safetensors=True)
     pipe.enable_xformers_memory_efficient_attention()
     pipe = pipe.to(device)
     pipe.unet = torch.compile(pipe.unet, mode="reduce-overhead", fullgraph=True)
@@ -18,7 +18,7 @@ if torch.cuda.is_available():
     refiner.enable_sequential_cpu_offload()
     refiner.unet = torch.compile(refiner.unet, mode="reduce-overhead", fullgraph=True)
 else: 
-    pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", use_safetensors=True)
+    pipe = DiffusionPipeline.from_pretrained("SG161222/RealVisXL_V1.0", use_safetensors=True)
     pipe = pipe.to(device)
     pipe.unet = torch.compile(pipe.unet, mode="reduce-overhead", fullgraph=True)
     refiner = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-refiner-1.0", use_safetensors=True)
@@ -44,4 +44,5 @@ gr.Interface(fn=genie, inputs=[gr.Textbox(label='What you want the AI to generat
     outputs='image', 
     title="Stable Diffusion XL 1.0 CPU or GPU", 
     description="SDXL 1.0 CPU or GPU. Currently running on CPU. <br><br><b>WARNING:</b> Extremely Slow. 65s/Iteration. Expect 25-50mins an image for 25-50 iterations respectively. This model is capable of producing NSFW (Softcore) images.", 
-    article = "If You Enjoyed this Demo and would like to Donate, you can send to any of these Wallets. <br>BTC: bc1qzdm9j73mj8ucwwtsjx4x4ylyfvr6kp7svzjn84 <br>3LWRoKYx6bCLnUrKEdnPo3FCSPQUSFDjFP <br>DOGE: DK6LRc4gfefdCTRk9xPD239N31jh9GjKez <br>SHIB (BEP20): 0xbE8f2f3B71DFEB84E5F7E3aae1909d60658aB891 <br>PayPal: https://www.paypal.me/ManjushriBodhisattva <br>ETH: 0xbE8f2f3B71DFEB84E5F7E3aae1909d60658aB891 <br>Code Monkey: <a href=\"https://huggingface.co/Manjushri\">Manjushri</a>").launch(debug=True, max_threads=80)
+    article = "If You Enjoyed this Demo and would like to Donate, you can send to any of these Wallets. 
+    <br>Code Monkey: <a href="https://huggingface.co/Thafx\"><Thafx</a>").launch(debug=True, max_threads=80)