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import io | |
import requests | |
from PIL import Image | |
def remove_image_watermark(input): | |
image = input["image"] | |
mask = input["mask"] | |
image_data = io.BytesIO() | |
image.save(image_data, format=image.format) | |
image_data = image_data.getvalue() | |
mask_data = io.BytesIO() | |
mask.save(mask_data, format=mask.format) | |
mask_data = mask_data.getvalue() | |
# Prepare form data | |
form_data = { | |
'ldmSteps': 25, | |
'ldmSampler': 'plms', | |
'zitsWireframe': True, | |
'hdStrategy': 'Original', | |
'hdStrategyCropMargin': 196, | |
'hdStrategyCropTrigerSize': 1280, | |
'hdStrategyResizeLimit': 2048, | |
'prompt': '', | |
'negativePrompt': '', | |
'croperX': -24, | |
'croperY': -23, | |
'croperHeight': 512, | |
'croperWidth': 512, | |
'useCroper': False, | |
'sdMaskBlur': 5, | |
'sdStrength': 0.75, | |
'sdSteps': 50, | |
'sdGuidanceScale': 7.5, | |
'sdSampler': 'pndm', | |
'sdSeed': 42, | |
'sdMatchHistograms': False, | |
'sdScale': 1, | |
'cv2Radius': 5, | |
'cv2Flag': 'INPAINT_NS', | |
'paintByExampleSteps': 50, | |
'paintByExampleGuidanceScale': 7.5, | |
'paintByExampleSeed': 42, | |
'paintByExampleMaskBlur': 5, | |
'paintByExampleMatchHistograms': False, | |
'sizeLimit': 1024, | |
} | |
files_data = { | |
'image': ('image.png', image_data), | |
'mask': ('mask.png', mask_data) | |
} | |
response = requests.post('https://ahmedghani-lama-cleaner-lama.hf.space/inpaint', data=form_data, files=files_data) | |
if response.headers['Content-Type'] == 'image/jpeg' or response.headers['Content-Type'] == 'image/png': | |
image = Image.open(io.BytesIO(response.content)) | |
return image | |
else: | |
print(f"Error processing Image: {response.text}") |