huzefa11 commited on
Commit
054dd0f
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verified ·
1 Parent(s): 91f8d5b

Update app.py

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Files changed (1) hide show
  1. app.py +6 -6
app.py CHANGED
@@ -40,9 +40,9 @@ DEFAULT_STYLE_NAME = "Japanese Anime"
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  global models_dict
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  use_va = True
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  models_dict = {
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- # "Juggernaut": "RunDiffusion/Juggernaut-XL-v8",
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- "RealVision": "SG161222/RealVisXL_V4.0" ,
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- "SDXL":"stabilityai/stable-diffusion-xl-base-1.0" ,
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  # "Unstable": "stablediffusionapi/sdxl-unstable-diffusers-y"
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  }
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  photomaker_path = hf_hub_download(repo_id="TencentARC/PhotoMaker", filename="photomaker-v1.bin", repo_type="model")
@@ -436,7 +436,7 @@ use_safetensors= False
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  # pipe1.scheduler.set_timesteps(50)
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  ###
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  pipe2 = PhotoMakerStableDiffusionXLPipeline.from_pretrained(
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- models_dict["RealVision"], torch_dtype=torch.float16, use_safetensors=use_safetensors)
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  pipe2 = pipe2.to("cpu")
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  pipe2.load_photomaker_adapter(
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  os.path.dirname(photomaker_path),
@@ -520,7 +520,7 @@ def process_generation(_sd_type,_model_type,_upload_images, _num_steps,style_nam
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  num_steps =_num_steps
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  use_safe_tensor = True
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  if style_name == "(No style)":
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- sd_model_path = models_dict["RealVision"]
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  if _model_type == "original":
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  pipe = StableDiffusionXLPipeline.from_pretrained(sd_model_path, torch_dtype=torch.float16)
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  pipe = pipe.to(device)
@@ -529,7 +529,7 @@ def process_generation(_sd_type,_model_type,_upload_images, _num_steps,style_nam
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  # pipe.scheduler.set_timesteps(50)
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  set_attention_processor(pipe.unet,id_length_,is_ipadapter = False)
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  elif _model_type == "Photomaker":
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- if _sd_type != "RealVision" and style_name != "(No style)":
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  pipe = pipe2.to(device)
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  pipe.id_encoder.to(device)
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  set_attention_processor(pipe.unet,id_length_,is_ipadapter = False)
 
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  global models_dict
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  use_va = True
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  models_dict = {
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+ "Juggernaut": "RunDiffusion/Juggernaut-XL-v8",
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+ # "RealVision": "SG161222/RealVisXL_V4.0" ,
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+ "SDXL":"stabilityai/stable-diffusion-xl-base-1.0" ,
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  # "Unstable": "stablediffusionapi/sdxl-unstable-diffusers-y"
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  }
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  photomaker_path = hf_hub_download(repo_id="TencentARC/PhotoMaker", filename="photomaker-v1.bin", repo_type="model")
 
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  # pipe1.scheduler.set_timesteps(50)
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  ###
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  pipe2 = PhotoMakerStableDiffusionXLPipeline.from_pretrained(
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+ models_dict["Juggernaut"], torch_dtype=torch.float16, use_safetensors=use_safetensors)
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  pipe2 = pipe2.to("cpu")
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  pipe2.load_photomaker_adapter(
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  os.path.dirname(photomaker_path),
 
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  num_steps =_num_steps
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  use_safe_tensor = True
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  if style_name == "(No style)":
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+ sd_model_path = models_dict["Juggernaut"]
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  if _model_type == "original":
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  pipe = StableDiffusionXLPipeline.from_pretrained(sd_model_path, torch_dtype=torch.float16)
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  pipe = pipe.to(device)
 
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  # pipe.scheduler.set_timesteps(50)
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  set_attention_processor(pipe.unet,id_length_,is_ipadapter = False)
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  elif _model_type == "Photomaker":
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+ if _sd_type != "Juggernaut" and style_name != "(No style)":
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  pipe = pipe2.to(device)
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  pipe.id_encoder.to(device)
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  set_attention_processor(pipe.unet,id_length_,is_ipadapter = False)