Saad0KH commited on
Commit
eb387cb
1 Parent(s): a23e7eb

Update run/gradio_ootd.py

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Files changed (1) hide show
  1. run/gradio_ootd.py +14 -9
run/gradio_ootd.py CHANGED
@@ -1,5 +1,4 @@
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  from flask import Flask, request, jsonify
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- import os
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  import torch
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  from PIL import Image, ImageOps
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@@ -11,6 +10,7 @@ from ootd.inference_ootd_dc import OOTDiffusionDC
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  app = Flask(__name__)
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  openpose_model_hd = OpenPose(0)
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  parsing_model_hd = Parsing(0)
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  ootd_model_hd = OOTDiffusionHD(0)
@@ -19,6 +19,9 @@ openpose_model_dc = OpenPose(1)
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  parsing_model_dc = Parsing(1)
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  ootd_model_dc = OOTDiffusionDC(1)
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  category_dict = ['upperbody', 'lowerbody', 'dress']
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  category_dict_utils = ['upper_body', 'lower_body', 'dresses']
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@@ -35,11 +38,12 @@ def process_hd():
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  model_type = 'hd'
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  category = 0 # 0:upperbody; 1:lowerbody; 2:dress
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  with torch.no_grad():
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- openpose_model_hd.preprocessor.body_estimation.model.to('cuda')
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- ootd_model_hd.pipe.to('cuda')
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- ootd_model_hd.image_encoder.to('cuda')
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- ootd_model_hd.text_encoder.to('cuda')
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  garm_img = Image.open(garm_img).resize((768, 1024))
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  vton_img = Image.open(vton_img).resize((768, 1024))
@@ -86,11 +90,12 @@ def process_dc():
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  else:
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  category = 2
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  with torch.no_grad():
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- openpose_model_dc.preprocessor.body_estimation.model.to('cuda')
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- ootd_model_dc.pipe.to('cuda')
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- ootd_model_dc.image_encoder.to('cuda')
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- ootd_model_dc.text_encoder.to('cuda')
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  garm_img = Image.open(garm_img).resize((768, 1024))
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  vton_img = Image.open(vton_img).resize((768, 1024))
 
1
  from flask import Flask, request, jsonify
 
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  import torch
3
  from PIL import Image, ImageOps
4
 
 
10
 
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  app = Flask(__name__)
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+ # Charger les modèles une seule fois au démarrage de l'application
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  openpose_model_hd = OpenPose(0)
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  parsing_model_hd = Parsing(0)
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  ootd_model_hd = OOTDiffusionHD(0)
 
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  parsing_model_dc = Parsing(1)
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  ootd_model_dc = OOTDiffusionDC(1)
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+ # Définir la configuration GPU
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+ device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
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+
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  category_dict = ['upperbody', 'lowerbody', 'dress']
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  category_dict_utils = ['upper_body', 'lower_body', 'dresses']
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  model_type = 'hd'
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  category = 0 # 0:upperbody; 1:lowerbody; 2:dress
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+ # Charger les modèles en mémoire GPU
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  with torch.no_grad():
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+ openpose_model_hd.preprocessor.body_estimation.model.to(device)
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+ ootd_model_hd.pipe.to(device)
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+ ootd_model_hd.image_encoder.to(device)
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+ ootd_model_hd.text_encoder.to(device)
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  garm_img = Image.open(garm_img).resize((768, 1024))
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  vton_img = Image.open(vton_img).resize((768, 1024))
 
90
  else:
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  category = 2
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+ # Charger les modèles en mémoire GPU
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  with torch.no_grad():
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+ openpose_model_dc.preprocessor.body_estimation.model.to(device)
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+ ootd_model_dc.pipe.to(device)
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+ ootd_model_dc.image_encoder.to(device)
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+ ootd_model_dc.text_encoder.to(device)
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  garm_img = Image.open(garm_img).resize((768, 1024))
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  vton_img = Image.open(vton_img).resize((768, 1024))