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Updated test_input json
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@ -66,7 +66,7 @@ def get_images(ws, prompt):
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def run_prompt(job):
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def run_prompt(job):
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data = {'images':[],'rainbow':"None"}
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data = {'images':[],'rainbow':"None",'lama':"None"}
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#Inferring from the Rainbow Script
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#Inferring from the Rainbow Script
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image_string = job['input']['image_string_lama']
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image_string = job['input']['image_string_lama']
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@ -98,6 +98,16 @@ def run_prompt(job):
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new_working_directory = "../"
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new_working_directory = "../"
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os.chdir(new_working_directory)
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os.chdir(new_working_directory)
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image = Image.open('./lama-with-refiner/output/')
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im_file = io.BytesIO()
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image.save(im_file, format="JPEG")
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im_bytes = im_file.getvalue() # im_bytes: image in binary format.
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im_b64 = base64.b64encode(im_bytes)
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im_b64 = str(im_b64)
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data['images'].append(im_b64)
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#NOTE This is for the Rainbow Script Will be updating it later
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#NOTE This is for the Rainbow Script Will be updating it later
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# if image_string != 'None':
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# if image_string != 'None':
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