Postman api call for lama-cleaner

[ghost]

is there any api call i can make to my lama-cleaner server using postman?

[sugarkwork]

It's not Postman, but I was able to handle it with this code.
It's still unclear whether form_data has any meaning.

code

import requests

def main():
    url = 'http://127.0.0.1:8080/inpaint'

    form_data = dict([
        ('ldmSteps', '25'), ('ldmSampler', 'plms'), ('zitsWireframe', 'true'),
        ('hdStrategy', 'Crop'), ('hdStrategyCropMargin', '196'), ('hdStrategyCropTrigerSize', '800'),
        ('hdStrategyResizeLimit', '2048'), ('prompt', ''), ('negativePrompt', ''),
        ('croperX', '180'), ('croperY', '443'), ('croperHeight', '512'), ('croperWidth', '512'),
        ('useCroper', 'false'), ('sdMaskBlur', '5'), ('sdStrength', '0.75'), ('sdSteps', '50'),
        ('sdGuidanceScale', '7.5'), ('sdSampler', 'uni_pc'), ('sdSeed', '-1'), ('sdMatchHistograms', 'false'),
        ('sdScale', '1'), ('cv2Radius', '5'), ('cv2Flag', 'INPAINT_NS'), ('paintByExampleSteps', '50'),
        ('paintByExampleGuidanceScale', '7.5'), ('paintByExampleSeed', '-1'), ('paintByExampleMaskBlur', '5'),
        ('paintByExampleMatchHistograms', 'false'), ('p2pSteps', '50'), ('p2pImageGuidanceScale', '1.5'),
        ('p2pGuidanceScale', '7.5'), ('controlnet_conditioning_scale', '0.4'),
        ('controlnet_method', 'control_v11p_sd15_canny')
    ])

    with open('image.png', 'rb') as img1, open('mask.png', 'rb') as img2:
        files = {
            'image': ('image.png', img1, 'image/png'),
            'mask': ('blob', img2, 'image/png')
        }

        response = requests.post(url, data=form_data, files=files)

    with open('result.png', 'wb') as result_image:
        result_image.write(response.content)


if __name__ == '__main__':
    main()

test data

lama_cleaner_api_test.zip

[ghost]

Thank you, i will look into it.

[battlekruiser]

The repo has since received massive updates, the above solution does not work anymore. My associate got it working with this code:

import requests
import base64
import json
from PIL import Image
import io

def image2string(image: Image.Image, _format: str = 'PNG') -> str:
    r""" Convert Pillow image to string. """
    if _format == 'JPEG':
        image = image.convert('RGB')
    img_bytes_arr = io.BytesIO()
    image.save(img_bytes_arr, format=_format)
    img_bytes_arr.seek(0)
    img_bytes_arr = img_bytes_arr.read()
    img_bytes_arr_encoded = base64.b64encode(img_bytes_arr)
    res = img_bytes_arr_encoded.decode('ascii')
    return res

name = '10tower_a_wall'

mask_path = name+'_mask.png'
img_path = name+'.jpg'

img = Image.open(img_path)
mask = Image.open(mask_path)

img_str = image2string(img)
mask_str = image2string(mask)

data = {
  "image": img_str,
  "mask": mask_str}

headers = {'Content-type': 'application/json', 'Accept': 'text/plain'}
r = requests.post(url, data=json.dumps(data))

result = Image.open(io.BytesIO(r.content))