Update app.py

app.py

@@ -124,9 +124,10 @@ def load_and_prepare_model(model_id):
     #pipeX = StableDiffusionXLPipeline.from_pretrained("SG161222/RealVisXL_V5.0").to(torch.bfloat16)
     #pipeX = StableDiffusionXLPipeline.from_pretrained("ford442/Juggernaut-XI-v11-fp32",use_safetensors=True)
     pipe = StableDiffusionXLPipeline.from_pretrained(
-        'ford442/RealVisXL_V5.0_BF16',
+        #'ford442/RealVisXL_V5.0_BF16',
        #'ford442/Juggernaut-XI-v11-fp32',
       #   'SG161222/RealVisXL_V5.0',
+        'John6666/uber-realistic-porn-merge-xl-urpmxl-v3-sdxl',
         #torch_dtype=torch.bfloat16,
         add_watermarker=False,
        # custom_pipeline="lpw_stable_diffusion_xl",
@@ -250,7 +251,7 @@ def uploadNote(prompt,num_inference_steps,guidance_scale,timestamp):
         f.write(f"Use Model Dtype: no \n")
         f.write(f"Model Scheduler: Euler_a all_custom before cuda \n")
         f.write(f"Model VAE: sdxl-vae to bfloat safetensor=false before cuda then attn_proc / scale factor 8 \n")
-        f.write(f"Model UNET: default ford442/RealVisXL_V5.0_BF16 \n")
+        f.write(f"Model UNET: realistic_porn \n")
         f.write(f"Model HiDiffusion OFF \n")
         f.write(f"Model do_resize ON \n")
         f.write(f"added torch to prereq and changed accellerate  \n")