Update run/gradio_ootd.py
Browse files- run/gradio_ootd.py +1 -5
run/gradio_ootd.py
CHANGED
@@ -15,10 +15,6 @@ from preprocess.humanparsing.run_parsing import Parsing
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from ootd.inference_ootd_hd import OOTDiffusionHD
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from ootd.inference_ootd_dc import OOTDiffusionDC
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from huggingface_hub import hf_hub_download
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hf_hub_download(repo_id="levihsu/OOTDiffusion", filename="checkpoints", local_dir="./")
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openpose_model_hd = OpenPose(0)
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parsing_model_hd = Parsing(0)
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@@ -32,13 +28,13 @@ 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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example_path = os.path.join(os.path.dirname(__file__), 'examples')
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model_hd = os.path.join(example_path, 'model/model_1.png')
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garment_hd = os.path.join(example_path, 'garment/03244_00.jpg')
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model_dc = os.path.join(example_path, 'model/model_8.png')
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garment_dc = os.path.join(example_path, 'garment/048554_1.jpg')
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def process_hd(vton_img, garm_img, n_samples, n_steps, image_scale, seed):
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model_type = 'hd'
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category = 0 # 0:upperbody; 1:lowerbody; 2:dress
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from ootd.inference_ootd_hd import OOTDiffusionHD
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from ootd.inference_ootd_dc import OOTDiffusionDC
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openpose_model_hd = OpenPose(0)
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parsing_model_hd = Parsing(0)
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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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example_path = os.path.join(os.path.dirname(__file__), 'examples')
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model_hd = os.path.join(example_path, 'model/model_1.png')
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garment_hd = os.path.join(example_path, 'garment/03244_00.jpg')
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model_dc = os.path.join(example_path, 'model/model_8.png')
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garment_dc = os.path.join(example_path, 'garment/048554_1.jpg')
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+@spaces.GPU
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def process_hd(vton_img, garm_img, n_samples, n_steps, image_scale, seed):
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model_type = 'hd'
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category = 0 # 0:upperbody; 1:lowerbody; 2:dress
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