Add encoding logic and remove image decoding logic
Browse files- handler.py +4 -13
handler.py
CHANGED
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@@ -28,7 +28,6 @@ class EndpointHandler():
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A :obj:`dict`:. base64 encoded image
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"""
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inputs = data.pop("inputs", data)
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encoded_image = data.pop("image", None)
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params = data.pop("parameters", data)
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# hyperparamters
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@@ -41,12 +40,8 @@ class EndpointHandler():
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generator = torch.Generator(device).manual_seed(manual_seed)
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if encoded_image is not None:
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image = self.decode_base64_image(encoded_image)
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# run inference pipeline
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out = self.pipe(inputs,
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image=image,
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generator=generator,
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num_inference_steps=num_inference_steps,
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guidance_scale=guidance_scale,
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@@ -57,11 +52,7 @@ class EndpointHandler():
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)
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# return first generate PIL image
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base64_image = base64.b64decode(image_string)
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buffer = BytesIO(base64_image)
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image = Image.open(buffer)
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return image
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A :obj:`dict`:. base64 encoded image
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"""
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inputs = data.pop("inputs", data)
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params = data.pop("parameters", data)
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# hyperparamters
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generator = torch.Generator(device).manual_seed(manual_seed)
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# run inference pipeline
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out = self.pipe(inputs,
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generator=generator,
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num_inference_steps=num_inference_steps,
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guidance_scale=guidance_scale,
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)
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# return first generate PIL image
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image = out.images[0]
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buffered = BytesIO()
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image.save(buffered, format="JPEG")
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return base64.b64encode(buffered.getvalue())
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