Update app.py

app.py

@@ -115,7 +115,7 @@ def load_and_prepare_model(model_id):
         model_id,
         torch_dtype=torch.bfloat16,
         add_watermarker=False,
-        use_safetensors=True,
+      #  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),
         vae=AutoencoderKL.from_pretrained("stabilityai/sdxl-vae",repo_type='model',safety_checker=None, torch_dtype=torch.float32),
         #scheduler=EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config, beta_schedule="scaled_linear", beta_start=0.00085, beta_end=0.012, steps_offset =1)
@@ -208,7 +208,7 @@ def generate_30(
         f.write(f"Steps: {num_inference_steps} \n")
         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 Safetensors: no \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")
@@ -274,7 +274,7 @@ def generate_60(
         f.write(f"Steps: {num_inference_steps} \n")
         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 Safetensors: no \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")
@@ -340,7 +340,7 @@ def generate_90(
         f.write(f"Steps: {num_inference_steps} \n")
         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 Safetensors: no \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")