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_ci_i2i_util.py
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_ci_i2i_util.py
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from PIL import Image
from pprint import pprint
import re
import io
import os
import json
import time
import numpy
import base64
import random
import requests
import subprocess
import _ci_i2i_log as _log
_ip = "127.0.0.1"
_port = "12345"
url = f"http://{_ip}:{_port}"
def sys_cmd(_str):
st = time.time()
_log.logger.info(f">>> {_str}")
_out = subprocess.getoutput(_str)
_log.logger.info(f">>> {_out}")
time.sleep(1)
et = time.time()
dt = et -st
dt_fmt = time.strftime("%H:%M:%S", time.gmtime(dt))
_log.logger.info(f"<<< {dt_fmt}\n\n")
def api_upscale(img_in, img_out):
_url = f'{url}/sdapi/v1/extra-single-image'
_up_X = 4
_payload = {
"image": b64_img(img_in),
# "resize_mode": 0,
# "show_extras_results": True,
# "gfpgan_visibility": 0,
# "codeformer_visibility": 0,
# "codeformer_weight": 0,
"upscaling_resize": _up_X,
# "upscaling_resize_w": 512,
# "upscaling_resize_h": 512,
# "upscaling_crop": True,
"upscaler_1": "R-ESRGAN 4x+",
"upscaler_2": "None",
# "extras_upscaler_2_visibility": 0,
# "upscale_first": False,
}
req = requests.post(url=_url, json=_payload)
# print(req)
left, right = os.path.splitext(img_out)
out_png = f"{left}_{_up_X}x.png"
r_image = ''
if req.status_code == 200:
r = req.json()
r_image = r['image']
if r_image:
# prYellow(out_png)
print(out_png)
i_img2img = Image.open(io.BytesIO(base64.b64decode(r_image)))
i_img2img.save(out_png)
return out_png
def api_interrogate(img_fn):
_url = f'{url}/sdapi/v1/interrogate'
_payload = {
"image": b64_img(img_fn),
"model": "clip"
}
req = requests.post(url=_url, json=_payload)
_content = ''
_style = ''
if req.status_code == 200:
req_json = req.json()
_caption = req_json['caption']
if _caption:
_s = _caption.split(', ')
_content = _s[0]
_style = ', '.join(_s[1:])
# print(f'content: {_content}\nstyle: {_style}')
return _content, _style
def api_reload_model(_model):
_url = f'{url}/sdapi/v1/options'
req = requests.get(url=_url)
if req.status_code == 200:
req_json = req.json()
_old = req_json['sd_model_checkpoint']
# print(f'current model: {_old}')
_payload = {
"sd_model_checkpoint": _model,
}
req = requests.post(url=_url, json=_payload)
_new = ''
_hash = ''
if req.status_code == 200:
req_check = requests.get(url=_url)
if req_check.status_code == 200:
req_json = req_check.json()
_new = req_json['sd_model_checkpoint']
# print(f'replaced model: {_new}')
_hash = req_json['sd_checkpoint_hash']
return _new, _hash
def api_t2i(_payload, _out, model_name):
_url = f'{url}/sdapi/v1/txt2img'
req = requests.post(url=_url, json=_payload)
# print(req)
r_images = ''
r_info = ''
if req.status_code == 200:
r = req.json()
r_images = r['images']
r_info = r['info']
if r_images and r_info:
r_info_json = json.loads(r_info)
# pprint(r_info_json)
infotexts = info_report(r_info_json, model_name)
out_txt = f"{_out}.txt"
# prYellow(out_txt)
print(out_txt)
with open(out_txt, "w", encoding="utf8") as _txt:
_txt.write(infotexts)
_n = len(r_images)
if _n >= 1:
out_png = f"{_out}_ignore.png"
print(out_png)
i_img2img = Image.open(io.BytesIO(base64.b64decode(r_images[0])))
i_img2img.save(out_png)
# for i in range(_n):
# if _n == 1:
# out_png = f"{_out}.png"
# else:
# out_png = f"{_out}_{i}.png"
# # prYellow(out_png)
# print(out_png)
# i_img2img = Image.open(io.BytesIO(base64.b64decode(r_images[i])))
# i_img2img.save(out_png)
def api_t2i_ctrl(_payload, _out, model_name):
# del _payload['denoising_strength']
# print(_payload.keys())
_url = f'{url}/controlnet/txt2img'
req = requests.post(url=_url, json=_payload)
# print(req)
r_images = ''
r_info = ''
if req.status_code == 200:
r = req.json()
r_images = r['images']
r_info = r['info']
if r_images and r_info:
r_info_json = json.loads(r_info)
# pprint(r_info_json)
infotexts = info_report(r_info_json, model_name)
out_txt = f"{_out}.txt"
# prYellow(out_txt)
print(out_txt)
with open(out_txt, "w", encoding="utf8") as _txt:
_txt.write(infotexts)
_n = len(r_images)
if _n >= 1:
out_png = f"{_out}_ignore.png"
print(out_png)
i_img2img = Image.open(io.BytesIO(base64.b64decode(r_images[0])))
i_img2img.save(out_png)
# for i in range(_n):
# if _n == 1:
# out_png = f"{_out}.png"
# else:
# out_png = f"{_out}_{i}.png"
# # prYellow(out_png)
# if i == 0:
# print(out_png)
# i_img2img = Image.open(io.BytesIO(base64.b64decode(r_images[i])))
# i_img2img.save(out_png)
def api_i2i(_payload, _out, model_name):
_url = f'{url}/sdapi/v1/img2img'
req = requests.post(url=_url, json=_payload)
# print(req)
r_images = ''
r_info = ''
if req.status_code == 200:
r = req.json()
r_images = r['images']
r_info = r['info']
if r_images and r_info:
r_info_json = json.loads(r_info)
# pprint(r_info_json)
infotexts = info_report(r_info_json, model_name)
out_txt = f"{_out}.txt"
# prYellow(out_txt)
print(out_txt)
with open(out_txt, "w", encoding="utf8") as _txt:
_txt.write(infotexts)
_n = len(r_images)
if _n >= 1:
out_png = f"{_out}_ignore.png"
print(out_png)
i_img2img = Image.open(io.BytesIO(base64.b64decode(r_images[0])))
i_img2img.save(out_png)
# for i in range(_n):
# if _n == 1:
# out_png = f"{_out}.png"
# else:
# out_png = f"{_out}_{i}.png"
# # prYellow(out_png)
# print(out_png)
# i_img2img = Image.open(io.BytesIO(base64.b64decode(r_images[i])))
# i_img2img.save(out_png)
def api_i2i_ctrl(_payload, _out, model_name):
_url = f'{url}/controlnet/img2img'
req = requests.post(url=_url, json=_payload)
# print(req)
r_images = ''
r_info = ''
if req.status_code == 200:
r = req.json()
r_images = r['images']
r_info = r['info']
if r_images and r_info:
r_info_json = json.loads(r_info)
# pprint(r_info_json)
infotexts = info_report(r_info_json, model_name)
out_txt = f"{_out}.txt"
# prYellow(out_txt)
print(out_txt)
with open(out_txt, "w", encoding="utf8") as _txt:
_txt.write(infotexts)
_n = len(r_images)
if _n >= 1:
out_png = f"{_out}_ignore.png"
print(out_png)
i_img2img = Image.open(io.BytesIO(base64.b64decode(r_images[0])))
i_img2img.save(out_png)
# for i in range(_n):
# if _n == 1:
# out_png = f"{_out}.png"
# else:
# out_png = f"{_out}_{i}.png"
# # prYellow(out_png)
# if i == 0:
# print(out_png)
# i_img2img = Image.open(io.BytesIO(base64.b64decode(r_images[i])))
# i_img2img.save(out_png)
def parse_creative(creative, sys_payload):
_re = sys_payload
if creative == '高':
if _re['denoising_strength'] < 0.95:
_re['denoising_strength'] = 0.95
elif creative == '中':
if _re['denoising_strength'] < 0.75:
_re['denoising_strength'] = 0.75
elif creative == '低':
if _re['denoising_strength'] < 0.2:
_re['denoising_strength'] = 0.2
else:
print(f"ERROR: creative({creative}) must be 高/中/低!")
return _re
def parse_sd1x_lora(lora):
_lora = {
'多彩': '_happyyu:0.7',
'线稿': '_Lineart',
'大头3D': 'cbzbb',
'大头2D': 'chibi',
'玻璃': 'glasssculpture:0.6',
'温暖': 'khyle:0.75',
'矢量艺术': 'kurzgesagt',
'线条阴影': 'kyabakurabakufu',
'土豆泥': 'made_of_mashed_potatoes_and_gravy',
'猫眼圆手': 'neco-arc',
'定格3D': 'zukki_style',
}
_style = []
for i in lora:
if lora[i] != 0:
i_lora = _lora[i]
i_lora_ = i_lora.split(':')
if len(i_lora_) == 2:
i_str = f"<lora:{i_lora}>"
else:
i_str = f"<lora:{i_lora}:{lora[i]}>"
if i[0] != '_':
i_str = f"{i_str}, {i_lora.replace('_', ' ')}"
_style.append(i_str)
_str = ', '.join(_style)
return _str
def parse_ctrl_net(_str):
_module = ''
_model = ''
_net = {
"style": ["clip_vision", "t2iadapter_style_sd14v1 [202e85cc]"],
# "style": ["clip_vision", "coadapter_style_sd15v1 [c7dc5801]"],
"color": ["color", "t2iadapter_color_sd14v1 [8522029d]"],
# "color": ["color", "coadapter_color_sd15v1 [91c6f0e5]"],
"depth": ["depth", "control_depth-fp16 [400750f6]"],
# "depth": ["depth", "coadapter_depth_sd15v1 [93aff3ab]"],
"canny": ["canny", "control_canny-fp16 [e3fe7712]"],
# "canny": ["canny", "coadapter_canny_sd15v1 [0f01fb68]"],
"hed": ["hed", "control_hed-fp16 [13fee50b]"],
"normal_map": ["normal_map", "control_normal-fp16 [63f96f7c]"],
"scribble": ["scribble", "control_scribble-fp16 [c508311e]"],
"segmentation": ["segmentation", "control_seg-fp16 [b9c1cc12]"],
# "segmentation": ["segmentation", "t2iadapter_seg-fp16 [0e677718]"],
"openpose": ["openpose", "control_openpose-fp16 [9ca67cc5]"],
# "openpose": ["openpose", "t2iadapter_openpose-fp16 [4286314e]"],
}
if _str in _net.keys():
_module = _net[_str][0]
_model = _net[_str][1]
elif _str == 'none':
_module = 'none'
_model = 'none'
return _module, _model
def parse_ctrl_units(_ctrls, user_sys_conf):
_re = []
for i in _ctrls.keys():
i_module, i_model = parse_ctrl_net(i)
_i = {
"input_image": b64_img(_ctrls[i]),
"module": i_module,
"model": i_model,
"weight": 1,
"lowvram": True,
"guessmode": False,
"resize_mode": "Envelope (Outer Fit)",
"guidance": 1,
"guidance_start": 0,
"guidance_end": 1,
"processor_res": 512,
# "mask": "",
# "threshold_a": 64,
# "threshold_b": 64,
}
if i_module == 'hed' and user_sys_conf == '线稿':
_i['processor_res'] = 2048
_re.append(_i)
return _re
# def b64_img_cv2(path):
# import cv2
# from base64 import b64encode
# img = cv2.imread(path)
# retval, buffer = cv2.imencode('.jpg', img)
# b64img = b64encode(buffer).decode("utf-8")
# return b64img
def b64_img(img_fn):
img = Image.open(img_fn)
buffered = io.BytesIO()
img.save(buffered, format="PNG")
img_base64 = 'data:image/png;base64,' + str(base64.b64encode(buffered.getvalue()), 'utf-8')
return img_base64
def create_blank_png(_w, _h, _fn):
_array = numpy.full((_h, _w, 3), 255, dtype = numpy.uint8)
img = Image.fromarray(_array, "RGB")
img.save(_fn, "PNG")
def info_report(info, model_name):
_report = {
"prompt": "Prompt",
"negative_prompt": "Negative Prompt",
"sampler_name": "Sampler",
"steps": "Steps",
"size": "Size",
"cfg_scale": "CFG Scale",
"denoising_strength": "Denoising Strength",
"seed": "Seed",
"styles": "Styles",
"model_name": "Model Name",
"sd_model_hash": "Model Hash"
}
# pprint(info['infotexts'])
info['size'] = f"{info['width']}*{info['height']}"
info['model_name'] = model_name
_add = {
# "face_restoration_model": "Face Restoration"
# 'clip_skip': 'Clip Skip',
# 'is_using_inpainting_conditioning': 'is_using_inpainting_conditioning',
}
_report.update(_add)
_txt = []
for i in _report.keys():
if i in info.keys():
_txt.append(f"{_report[i]}: {info[i]}")
_infotexts = '\n'.join(info['infotexts'][0].split('\\n'))
_txt.append(f"\ninfotexts: \n{_infotexts}\n")
return '\n'.join(_txt)
def is_human(prompt, human):
if_human = False
prompt_words = re.sub(r'[^\w\s]', '', prompt)
for p in human:
if f" {p} " in prompt_words:
# print(p)
if_human = True
return if_human
def random_human(prompt, human, race):
_prompt = prompt
prompt_words = re.sub(r'[^\w\s]', '', prompt)
for p in human:
if f" {p} " in prompt_words:
# print(p)
_race = random.choice(race)
_prompt = _prompt.replace(f" {p} ", f" ({_race} {p}:1.2) ")
return _prompt
def merge_dict(d1, d2):
d1.update(d2)
return d1
def create_caption_txt(_img_content, caption_txt):
_content, _style = api_interrogate(_img_content)
_caption = f"{_content}, {_style}"
with open(caption_txt, "w", encoding="utf8") as _txt:
_txt.write(_caption)
print(f"{caption_txt}:")
# prCyan(_content)
# prPurple(_style)
print(_content)
print(_style)
return _caption
def read_txt(fn):
_re = ''
with open(fn, "r", encoding="utf8") as rf:
_lis = rf.readlines()
_re = '\n'.join(_lis)
# print(_re)
return _re
def merge_prompt(_p1, _p2):
if _p1 and _p2:
_re = f"{_p1}, {_p2}"
elif _p1:
_re = _p1
elif _p2:
_re = _p2
else:
_re = ''
return _re
def prRed(skk): print("\033[91m{}\033[00m" .format(skk))
def prGreen(skk): print("\033[92m{}\033[00m" .format(skk))
def prYellow(skk): print("\033[93m{}\033[00m" .format(skk))
def prLightPurple(skk): print("\033[94m{}\033[00m" .format(skk))
def prPurple(skk): print("\033[95m{}\033[00m" .format(skk))
def prCyan(skk): print("\033[96m{}\033[00m" .format(skk))
def prLightGray(skk): print("\033[97m{}\033[00m" .format(skk))
def prBlack(skk): print("\033[98m{}\033[00m" .format(skk))