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import base64, io, requests, json
from PIL import Image, PngImagePlugin
from datetime import datetime, date
address = 'http://127.0.0.1:7860'
input_file = "extensions\sd-webui-reactor\example\IamSFW.jpg" # Input file path
time = datetime.now()
today = date.today()
current_date = today.strftime('%Y-%m-%d')
current_time = time.strftime('%H-%M-%S')
output_file = 'outputs/api/output_'+current_date+'_'+current_time+'.png' # Output file path
try:
im = Image.open(input_file)
except Exception as e:
print(e)
finally:
print(im)
img_bytes = io.BytesIO()
im.save(img_bytes, format='PNG')
img_base64 = base64.b64encode(img_bytes.getvalue()).decode('utf-8')
# ReActor arguments:
args=[
img_base64, #0
True, #1 Enable ReActor
'0', #2 Comma separated face number(s) from swap-source image
'0', #3 Comma separated face number(s) for target image (result)
'C:\stable-diffusion-webui\models/roop\inswapper_128.onnx', #4 model path
'CodeFormer', #4 Restore Face: None; CodeFormer; GFPGAN
1, #5 Restore visibility value
True, #7 Restore face -> Upscale
'4x_NMKD-Superscale-SP_178000_G', #8 Upscaler (type 'None' if doesn't need), see full list here: http://127.0.0.1:7860/sdapi/v1/script-info -> reactor -> sec.8
2, #9 Upscaler scale value
1, #10 Upscaler visibility (if scale = 1)
False, #11 Swap in source image
True, #12 Swap in generated image
1, #13 Console Log Level (0 - min, 1 - med or 2 - max)
0, #14 Gender Detection (Source) (0 - No, 1 - Female Only, 2 - Male Only)
0, #15 Gender Detection (Target) (0 - No, 1 - Female Only, 2 - Male Only)
]
# The args for ReActor can be found by
# requests.get(url=f'{address}/sdapi/v1/script-info')
prompt = "(8k, best quality, masterpiece, highly detailed:1.1),realistic photo of fantastic happy woman,hairstyle of blonde and red short bob hair,modern clothing,cinematic lightning,film grain,dynamic pose,bokeh,dof"
neg = "ng_deepnegative_v1_75t,(badhandv4:1.2),(worst quality:2),(low quality:2),(normal quality:2),lowres,(bad anatomy),(bad hands),((monochrome)),((grayscale)),(verybadimagenegative_v1.3:0.8),negative_hand-neg,badhandv4,nude,naked,(strabismus),cross-eye,heterochromia,((blurred))"
payload = {
"prompt": prompt,
"negative_prompt": neg,
"seed": -1,
"sampler_name": "DPM++ 2M Karras",
"steps": 15,
"cfg_scale": 7,
"width": 512,
"height": 768,
"restore_faces": False,
"alwayson_scripts": {"reactor":{"args":args}}
}
try:
print('Working... Please wait...')
result = requests.post(url=f'{address}/sdapi/v1/txt2img', json=payload)
except Exception as e:
print(e)
finally:
print('Done! Saving file...')
if result is not None:
r = result.json()
for i in r['images']:
image = Image.open(io.BytesIO(base64.b64decode(i.split(",",1)[0])))
png_payload = {
"image": "data:image/png;base64," + i
}
response2 = requests.post(url=f'{address}/sdapi/v1/png-info', json=png_payload)
pnginfo = PngImagePlugin.PngInfo()
pnginfo.add_text("parameters", response2.json().get("info"))
try:
image.save(output_file, pnginfo=pnginfo)
except Exception as e:
print(e)
finally:
print(f'{output_file} is saved\nAll is done!')
else:
print('Something went wrong...')
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