ford442 commited on
Commit
5d26056
·
1 Parent(s): 4a7a87f

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +5 -5
app.py CHANGED
@@ -115,7 +115,7 @@ def load_and_prepare_model(model_id):
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  #pipeX = StableDiffusionXLPipeline.from_pretrained("ford442/Juggernaut-XI-v11-fp32",torch_dtype=torch.float32)
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  pipe = StableDiffusionXLPipeline.from_pretrained(
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  model_id,
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- torch_dtype=torch.bfloat16,
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  add_watermarker=False,
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  # use_safetensors=True,
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  # 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),
@@ -136,7 +136,7 @@ def load_and_prepare_model(model_id):
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  pipe.scheduler=EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config, beta_schedule="scaled_linear", beta_start=0.00085, beta_end=0.012, steps_offset=1)
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  #pipe.unet.to(torch.bfloat16)
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  pipe.to(device)
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- #pipe.vae.to(torch.bfloat16)
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  #pipe.to(torch.bfloat16)
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  #pipe.to(device, torch.bfloat16)
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  del pipeX
@@ -222,7 +222,7 @@ def generate_30(
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  f.write(f"Steps: {num_inference_steps} \n")
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  f.write(f"Guidance Scale: {guidance_scale} \n")
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  f.write(f"SPACE SETUP: \n")
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- f.write(f"Use Model Dtype: yes \n")
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  f.write(f"Model Scheduler: Euler_a custom before cuda \n")
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  f.write(f"Model VAE: default \n")
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  f.write(f"Model UNET: default \n")
@@ -288,7 +288,7 @@ def generate_60(
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  f.write(f"Steps: {num_inference_steps} \n")
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  f.write(f"Guidance Scale: {guidance_scale} \n")
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  f.write(f"SPACE SETUP: \n")
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- f.write(f"Use Model Dtype: yes \n")
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  f.write(f"Model Scheduler: Euler_a custom before cuda \n")
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  f.write(f"Model VAE: default \n")
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  f.write(f"Model UNET: default \n")
@@ -354,7 +354,7 @@ def generate_90(
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  f.write(f"Steps: {num_inference_steps} \n")
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  f.write(f"Guidance Scale: {guidance_scale} \n")
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  f.write(f"SPACE SETUP: \n")
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- f.write(f"Use Model Dtype: yes \n")
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  f.write(f"Model Scheduler: Euler_a custom before cuda \n")
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  f.write(f"Model VAE: default \n")
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  f.write(f"Model UNET: default \n")
 
115
  #pipeX = StableDiffusionXLPipeline.from_pretrained("ford442/Juggernaut-XI-v11-fp32",torch_dtype=torch.float32)
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  pipe = StableDiffusionXLPipeline.from_pretrained(
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  model_id,
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+ #torch_dtype=torch.bfloat16,
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  add_watermarker=False,
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  # use_safetensors=True,
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  # 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),
 
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  pipe.scheduler=EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config, beta_schedule="scaled_linear", beta_start=0.00085, beta_end=0.012, steps_offset=1)
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  #pipe.unet.to(torch.bfloat16)
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  pipe.to(device)
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+ pipe.vae.to(torch.bfloat16)
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  #pipe.to(torch.bfloat16)
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  #pipe.to(device, torch.bfloat16)
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  del pipeX
 
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  f.write(f"Steps: {num_inference_steps} \n")
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  f.write(f"Guidance Scale: {guidance_scale} \n")
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  f.write(f"SPACE SETUP: \n")
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+ f.write(f"Use Model Dtype: no \n")
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  f.write(f"Model Scheduler: Euler_a custom before cuda \n")
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  f.write(f"Model VAE: default \n")
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  f.write(f"Model UNET: default \n")
 
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  f.write(f"Steps: {num_inference_steps} \n")
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  f.write(f"Guidance Scale: {guidance_scale} \n")
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  f.write(f"SPACE SETUP: \n")
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+ f.write(f"Use Model Dtype: no \n")
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  f.write(f"Model Scheduler: Euler_a custom before cuda \n")
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  f.write(f"Model VAE: default \n")
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  f.write(f"Model UNET: default \n")
 
354
  f.write(f"Steps: {num_inference_steps} \n")
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  f.write(f"Guidance Scale: {guidance_scale} \n")
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  f.write(f"SPACE SETUP: \n")
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+ f.write(f"Use Model Dtype: no \n")
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  f.write(f"Model Scheduler: Euler_a custom before cuda \n")
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  f.write(f"Model VAE: default \n")
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  f.write(f"Model UNET: default \n")