Update app.py

app.py

@@ -89,7 +89,7 @@ tokenizer_1 = CLIPTokenizer.from_pretrained('ford442/RealVisXL_V5.0_BF16', low_c
 tokenizer_2 = CLIPTokenizer.from_pretrained('ford442/RealVisXL_V5.0_BF16', low_cpu_mem_usage=False, subfolder='tokenizer_2', token=True)
 scheduler = EulerAncestralDiscreteScheduler.from_pretrained('ford442/RealVisXL_V5.0_BF16', low_cpu_mem_usage=False, subfolder='scheduler', token=True)
 vaeXL = AutoencoderKL.from_pretrained("stabilityai/sdxl-vae", low_cpu_mem_usage=False, safety_checker=None, use_safetensors=False, torch_dtype=torch.float32, token=True) #.to(device).to(torch.bfloat16) #.to(device=device, dtype=torch.bfloat16)
-unet = UNet2DConditionModel.from_pretrained("stabilityai/sdxl-vae", low_cpu_mem_usage=False, subfolder='unet', token=True)
+unet = UNet2DConditionModel.from_pretrained("ford442/RealVisXL_V5.0_BF16", low_cpu_mem_usage=False, subfolder='unet', token=True)
 
 def load_and_prepare_model():
     pipe = StableDiffusionXLPipeline.from_pretrained(
@@ -204,7 +204,7 @@ def generate_30(
     uploadNote(prompt,num_inference_steps,guidance_scale,timestamp)
     batch_options = options.copy()
     rv_image = pipe(**batch_options).images[0]
-    sd_image_path = f"rv50_B_{timestamp}.png"
+    sd_image_path = f"rv50_G_{timestamp}.png"
     rv_image.save(sd_image_path,optimize=False,compress_level=0)
     upload_to_ftp(sd_image_path)    
     unique_name = str(uuid.uuid4()) + ".png"  
@@ -246,7 +246,7 @@ def generate_60(
     uploadNote(prompt,num_inference_steps,guidance_scale,timestamp)
     batch_options = options.copy()
     rv_image = pipe(**batch_options).images[0]
-    sd_image_path = f"rv50_B_{timestamp}.png"
+    sd_image_path = f"rv50_G_{timestamp}.png"
     rv_image.save(sd_image_path,optimize=False,compress_level=0)
     upload_to_ftp(sd_image_path)    
     unique_name = str(uuid.uuid4()) + ".png"  
@@ -288,7 +288,7 @@ def generate_90(
     uploadNote(prompt,num_inference_steps,guidance_scale,timestamp)
     batch_options = options.copy()
     rv_image = pipe(**batch_options).images[0]
-    sd_image_path = f"rv50_B_{timestamp}.png"
+    sd_image_path = f"rv50_G_{timestamp}.png"
     rv_image.save(sd_image_path,optimize=False,compress_level=0)
     upload_to_ftp(sd_image_path)    
     unique_name = str(uuid.uuid4()) + ".png"