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Update app.py
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app.py
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@@ -1,3 +1,8 @@
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import gradio as gr
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from PIL import Image
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from src.tryon_pipeline import StableDiffusionXLInpaintPipeline as TryonPipeline
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@@ -11,10 +16,8 @@ from transformers import (
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)
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from diffusers import DDPMScheduler, AutoencoderKL
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from typing import List
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import torch
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import os
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from transformers import AutoTokenizer
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import spaces
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import numpy as np
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from utils_mask import get_mask_location
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from torchvision import transforms
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@@ -24,6 +27,8 @@ from preprocess.openpose.run_openpose import OpenPose
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from detectron2.data.detection_utils import convert_PIL_to_numpy, _apply_exif_orientation
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from torchvision.transforms.functional import to_pil_image
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# Function to convert a PIL image to a binary mask
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def pil_to_binary_mask(pil_image, threshold=0):
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# Import spaces first to control GPU initialization
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import spaces
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# Now import other packages
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import torch
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import gradio as gr
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from PIL import Image
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from src.tryon_pipeline import StableDiffusionXLInpaintPipeline as TryonPipeline
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)
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from diffusers import DDPMScheduler, AutoencoderKL
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from typing import List
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import os
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from transformers import AutoTokenizer
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import numpy as np
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from utils_mask import get_mask_location
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from torchvision import transforms
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from detectron2.data.detection_utils import convert_PIL_to_numpy, _apply_exif_orientation
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from torchvision.transforms.functional import to_pil_image
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# Rest of your code remains the same...
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# Function to convert a PIL image to a binary mask
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def pil_to_binary_mask(pil_image, threshold=0):
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