Update app.py

app.py

@@ -11,8 +11,8 @@ dtype = torch.bfloat16
 device = "cuda" if torch.cuda.is_available() else "cpu"
 
 taef1 = AutoencoderTiny.from_pretrained("madebyollin/taef1", torch_dtype=dtype).to(device)
-good_vae = AutoencoderKL.from_pretrained("black-forest-labs/FLUX.1-dev", subfolder="vae", torch_dtype=dtype).to(device)
-pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=dtype, vae=taef1).to(device)
+good_vae = AutoencoderKL.from_pretrained("ifmain/UltraReal_Fine-Tune", subfolder="vae", torch_dtype=dtype).to(device)
+pipe = DiffusionPipeline.from_pretrained("ifmain/UltraReal_Fine-Tune", torch_dtype=dtype, vae=taef1).to(device)
 torch.cuda.empty_cache()
 
 MAX_SEED = np.iinfo(np.int32).max
@@ -54,10 +54,19 @@ css="""
 with gr.Blocks(css=css) as demo:
     
     with gr.Column(elem_id="col-container"):
-        gr.Markdown(f"""# FLUX.1 [dev]
-12B param rectified flow transformer guidance-distilled from [FLUX.1 [pro]](https://blackforestlabs.ai/)  
-[[non-commercial license](https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md)] [[blog](https://blackforestlabs.ai/announcing-black-forest-labs/)] [[model](https://huggingface.co/black-forest-labs/FLUX.1-dev)]
+        gr.Markdown(f"""# UltraReal Fine-Tune (Flux.1 Dev)
+    
+        **🚀 Фотореализм нового уровня!**  
+        Вышла 4-я версия **UltraReal Fine-Tune**, основанная на **Flux.1 Dev**.   
+        Скачать можно тут: [Civitai](https://civitai.com/models/978314?modelVersionId=1413133)  
+    
+        **🚀 Next-level photorealism!**  
+        The 4th version of **UltraReal Fine-Tune**, based on **Flux.1 Dev**, has been released.
+        You can download it here: [Civitai](https://civitai.com/models/978314?modelVersionId=1413133)  
+        
+        [[model](https://huggingface.co/black-forest-labs/FLUX.1-dev)] [[non-commercial license](https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md)] [[blog](https://blackforestlabs.ai/announcing-black-forest-labs/)]
         """)
+
         
         with gr.Row():