asoderznik
commited on
Commit
•
7fd98b7
1
Parent(s):
6848e3e
Update handler.py
Browse files- handler.py +3 -4
handler.py
CHANGED
@@ -15,8 +15,8 @@ logger.warning("WARN")
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# set device
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device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
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if device.type != 'cuda':
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raise ValueError("need to run on GPU")
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class EndpointHandler():
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def __init__(self, path=""):
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@@ -35,7 +35,6 @@ class EndpointHandler():
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self.pipe = StableDiffusionUpscalePipeline.from_pretrained(self.path, torch_dtype=torch.float16)
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self.pipe = self.pipe.to(device)
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self.pipe.unet.in_channels = 8
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logger.info('data received %s', data)
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inputs = data.get("inputs")
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logger.info('inputs received %s', inputs)
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@@ -44,7 +43,7 @@ class EndpointHandler():
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logger.info('image_base64')
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image_bytes = BytesIO(image_base64)
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logger.info('image_bytes')
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image = Image.open(image_bytes)
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prompt = inputs['prompt']
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logger.info('image')
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# set device
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device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
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#if device.type != 'cuda':
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# raise ValueError("need to run on GPU")
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class EndpointHandler():
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def __init__(self, path=""):
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self.pipe = StableDiffusionUpscalePipeline.from_pretrained(self.path, torch_dtype=torch.float16)
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self.pipe = self.pipe.to(device)
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logger.info('data received %s', data)
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inputs = data.get("inputs")
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logger.info('inputs received %s', inputs)
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logger.info('image_base64')
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image_bytes = BytesIO(image_base64)
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logger.info('image_bytes')
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image = Image.open(image_bytes).convert("RGB")
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prompt = inputs['prompt']
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logger.info('image')
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