Update app.py

app.py

@@ -91,8 +91,8 @@ device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
 def load_and_prepare_model(model_id):
     model_dtypes = {"ford442/RealVisXL_V5.0_BF16": torch.bfloat16,}
     dtype = model_dtypes.get(model_id, torch.bfloat16)  # Default to float32 if not found
-    #vaeX = AutoencoderKL.from_pretrained("ford442/sdxl-vae-bf16", safety_checker=None, use_safetensors=False)
-    vaeX = AutoencoderKL.from_pretrained("stabilityai/sdxl-vae", safety_checker=None, use_safetensors=False)
+    vaeX = AutoencoderKL.from_pretrained("ford442/sdxl-vae-bf16", safety_checker=None, use_safetensors=False)
+    #vaeX = AutoencoderKL.from_pretrained("stabilityai/sdxl-vae", safety_checker=None, use_safetensors=False)
     #vae = AutoencoderKL.from_pretrained('cross-attention/asymmetric-autoencoder-kl-x-2',use_safetensors=False)
     #vae = AutoencoderKL.from_single_file('https://huggingface.co/ford442/sdxl-vae-bf16/mySLR/myslrVAE_v10.safetensors')
     #vaeX = AutoencoderKL.from_pretrained("stabilityai/sd-vae-ft-mse",use_safetensors=True)
@@ -132,7 +132,7 @@ def load_and_prepare_model(model_id):
     #sched = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config, beta_schedule="scaled_linear",use_karras_sigmas=True, algorithm_type="dpmsolver++")
     #pipe.scheduler = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config, beta_schedule="scaled_linear", beta_start=0.00085, beta_end=0.012, steps_offset=1)
     #pipe.scheduler = DPMSolverMultistepScheduler.from_pretrained('SG161222/RealVisXL_V5.0', subfolder='scheduler', algorithm_type='sde-dpmsolver++')
-    pipe.vae = vaeX.to(torch.bfloat16)
+    pipe.vae = vaeX #.to(torch.bfloat16)
     #pipe.unet = unetX.to(torch.bfloat16)
     pipe.scheduler = sched
     pipe.vae.do_resize=False
@@ -204,7 +204,7 @@ def randomize_seed_fn(seed: int, randomize_seed: bool) -> int:
 def uploadNote(prompt,num_inference_steps,guidance_scale,timestamp):
     filename= f'tst_A_{timestamp}.txt'
     with open(filename, "w") as f:
-        f.write(f"Realvis 5.0 (Tester A) \n")
+        f.write(f"Realvis 5.0 (Tester B) \n")
         f.write(f"Date/time: {timestamp} \n")
         f.write(f"Prompt: {prompt} \n")
         f.write(f"Steps: {num_inference_steps} \n")
@@ -212,7 +212,7 @@ def uploadNote(prompt,num_inference_steps,guidance_scale,timestamp):
         f.write(f"SPACE SETUP: \n")
         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 VAE: sdxl-vae-bf16 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 HiDiffusion OFF \n")
         f.write(f"Model do_resize ON \n")