add try catch
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c52f733214
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@ -27,7 +27,7 @@ from lama_cleaner.plugins import (
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RealESRGANUpscaler,
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RealESRGANUpscaler,
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MakeGIF,
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MakeGIF,
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GFPGANPlugin,
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GFPGANPlugin,
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RestoreFormerPlugin
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RestoreFormerPlugin,
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)
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)
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from lama_cleaner.schema import Config
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from lama_cleaner.schema import Config
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@ -314,7 +314,17 @@ def run_plugin():
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rgb_np_img, alpha_channel, exif = load_img(origin_image_bytes, return_exif=True)
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rgb_np_img, alpha_channel, exif = load_img(origin_image_bytes, return_exif=True)
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start = time.time()
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start = time.time()
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bgr_res = plugins[name](rgb_np_img, files, form)
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try:
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bgr_res = plugins[name](rgb_np_img, files, form)
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except RuntimeError as e:
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torch.cuda.empty_cache()
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if "CUDA out of memory. " in str(e):
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# NOTE: the string may change?
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return "CUDA out of memory", 500
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else:
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logger.exception(e)
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return "Internal Server Error", 500
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logger.info(f"{name} process time: {(time.time() - start) * 1000}ms")
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logger.info(f"{name} process time: {(time.time() - start) * 1000}ms")
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torch_gc()
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torch_gc()
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@ -446,7 +456,8 @@ def build_plugins(args):
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if args.enable_restoreformer:
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if args.enable_restoreformer:
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logger.info(f"Initialize {RestoreFormerPlugin.name} plugin")
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logger.info(f"Initialize {RestoreFormerPlugin.name} plugin")
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plugins[RestoreFormerPlugin.name] = RestoreFormerPlugin(
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plugins[RestoreFormerPlugin.name] = RestoreFormerPlugin(
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args.restoreformer_device, upscaler=plugins.get(RealESRGANUpscaler.name, None)
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args.restoreformer_device,
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upscaler=plugins.get(RealESRGANUpscaler.name, None),
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)
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)
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if args.enable_gif:
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if args.enable_gif:
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logger.info(f"Initialize GIF plugin")
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logger.info(f"Initialize GIF plugin")
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