Update app.py

app.py

@@ -113,7 +113,7 @@ def load_and_prepare_model(model_id):
     pipeX = StableDiffusionXLPipeline.from_pretrained("SG161222/RealVisXL_V5.0",torch_dtype=torch.float32)
     pipe = StableDiffusionXLPipeline.from_pretrained(
         model_id,
-        torch_dtype=torch.bfloat16,
+      #  torch_dtype=torch.bfloat16,
         add_watermarker=False,
         use_safetensors=True,
      #  vae=AutoencoderKL.from_pretrained("BeastHF/MyBack_SDXL_Juggernaut_XL_VAE/MyBack_SDXL_Juggernaut_XL_VAE_V10(version_X).safetensors",repo_type='model',safety_checker=None),
@@ -209,7 +209,7 @@ def generate_30(
         f.write(f"Guidance Scale: {guidance_scale} \n")
         f.write(f"SPACE SETUP: \n")
         f.write(f"Use Safetensors: True \n")
-        f.write(f"Use Model Dtype: yes with UNET before cuda \n")
+        f.write(f"Use Model Dtype: no \n")
         f.write(f"Model Scheduler: Euler_a custom \n")
         f.write(f"Model VAE: stabilityai/sdxl-vae  \n")
         f.write(f"Model UNET: stabilityai after cuda \n")
@@ -275,7 +275,7 @@ def generate_60(
         f.write(f"Guidance Scale: {guidance_scale} \n")
         f.write(f"SPACE SETUP: \n")
         f.write(f"Use Safetensors: True \n")
-        f.write(f"Use Model Dtype: yes with UNET before cuda \n")
+        f.write(f"Use Model Dtype: no \n")
         f.write(f"Model Scheduler: Euler_a custom \n")
         f.write(f"Model VAE: stabilityai/sdxl-vae  \n")
         f.write(f"Model UNET: stabilityai after cuda \n")
@@ -341,7 +341,7 @@ def generate_90(
         f.write(f"Guidance Scale: {guidance_scale} \n")
         f.write(f"SPACE SETUP: \n")
         f.write(f"Use Safetensors: True \n")
-        f.write(f"Use Model Dtype: yes with UNET before cuda \n")
+        f.write(f"Use Model Dtype: no \n")
         f.write(f"Model Scheduler: Euler_a custom \n")
         f.write(f"Model VAE: stabilityai/sdxl-vae  \n")
         f.write(f"Model UNET: stabilityai after cuda \n")