xichenhku commited on
Commit
5cfb194
1 Parent(s): 9cfc285

Update app.py

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Files changed (1) hide show
  1. app.py +4 -3
app.py CHANGED
@@ -19,15 +19,17 @@ from models.pipeline_mimicbrush import MimicBrushPipeline
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  from models.ReferenceNet import ReferenceNet
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  from models.depth_guider import DepthGuider
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  from mimicbrush import MimicBrush_RefNet
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- from data_utils import *
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  from modelscope.hub.snapshot_download import snapshot_download as ms_snapshot_download
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  import spaces
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  sd_dir = ms_snapshot_download('xichen/cleansd', cache_dir='./modelscope')
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  print('=== Pretrained SD weights downloaded ===')
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  model_dir = ms_snapshot_download('xichen/MimicBrush', cache_dir='./modelscope')
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  print('=== MimicBrush weights downloaded ===')
 
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  val_configs = OmegaConf.load('./configs/inference.yaml')
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  # === import Depth Anything ===
@@ -175,7 +177,6 @@ referencenet = ReferenceNet.from_pretrained(ref_model_path, subfolder="unet").to
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  mimicbrush_model = MimicBrush_RefNet(pipe, image_encoder_path, mimicbrush_ckpt, depth_anything_model, depth_guider, referencenet, device)
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  mask_processor = VaeImageProcessor(vae_scale_factor=1, do_normalize=False, do_binarize=True, do_convert_grayscale=True)
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-
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  @spaces.GPU
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  def infer_single(ref_image, target_image, target_mask, seed = -1, num_inference_steps=50, guidance_scale = 5, enable_shape_control = False):
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  #return ref_image
@@ -364,4 +365,4 @@ with gr.Blocks() as demo:
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  outputs=[baseline_gallery]
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  )
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- demo.launch()
 
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  from models.ReferenceNet import ReferenceNet
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  from models.depth_guider import DepthGuider
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  from mimicbrush import MimicBrush_RefNet
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+ from dataset.data_utils import *
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  from modelscope.hub.snapshot_download import snapshot_download as ms_snapshot_download
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  import spaces
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+
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  sd_dir = ms_snapshot_download('xichen/cleansd', cache_dir='./modelscope')
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  print('=== Pretrained SD weights downloaded ===')
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  model_dir = ms_snapshot_download('xichen/MimicBrush', cache_dir='./modelscope')
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  print('=== MimicBrush weights downloaded ===')
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+
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  val_configs = OmegaConf.load('./configs/inference.yaml')
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  # === import Depth Anything ===
 
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  mimicbrush_model = MimicBrush_RefNet(pipe, image_encoder_path, mimicbrush_ckpt, depth_anything_model, depth_guider, referencenet, device)
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  mask_processor = VaeImageProcessor(vae_scale_factor=1, do_normalize=False, do_binarize=True, do_convert_grayscale=True)
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  @spaces.GPU
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  def infer_single(ref_image, target_image, target_mask, seed = -1, num_inference_steps=50, guidance_scale = 5, enable_shape_control = False):
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  #return ref_image
 
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  outputs=[baseline_gallery]
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  )
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+ demo.launch(server_name="0.0.0.0")