AIrefactor
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163
dpic.oy.py
163
dpic.oy.py
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from datetime import datetime
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import urllib.request
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import base64
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import json
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import time
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import os
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url="pop-os.local"
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webui_server_url = f'http://{url}:7860'
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out_dir = 'api_out'
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out_dir_t2i = os.path.join(out_dir, 'txt2img')
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out_dir_i2i = os.path.join(out_dir, 'img2img')
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os.makedirs(out_dir_t2i, exist_ok=True)
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os.makedirs(out_dir_i2i, exist_ok=True)
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def timestamp():
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return datetime.fromtimestamp(time.time()).strftime("%Y%m%d-%H%M%S")
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def encode_file_to_base64(path):
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with open(path, 'rb') as file:
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return base64.b64encode(file.read()).decode('utf-8')
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def decode_and_save_base64(base64_str, save_path):
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with open(save_path, "wb") as file:
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file.write(base64.b64decode(base64_str))
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def call_api(api_endpoint, **payload):
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data = json.dumps(payload).encode('utf-8')
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request = urllib.request.Request(
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f'{webui_server_url}/{api_endpoint}',
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headers={'Content-Type': 'application/json'},
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data=data,
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)
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response = urllib.request.urlopen(request)
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return json.loads(response.read().decode('utf-8'))
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def call_txt2img_api(**payload):
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response = call_api('sdapi/v1/txt2img', **payload)
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for index, image in enumerate(response.get('images')):
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save_path = os.path.join(out_dir_t2i, f'txt2img-{timestamp()}-{index}.png')
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decode_and_save_base64(image, save_path)
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def call_img2img_api(**payload):
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response = call_api('sdapi/v1/img2img', **payload)
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for index, image in enumerate(response.get('images')):
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save_path = os.path.join(out_dir_i2i, f'img2img-{timestamp()}-{index}.png')
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decode_and_save_base64(image, save_path)
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if __name__ == '__main__':
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payload = {
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"prompt": "masterpiece, (best quality:1.1), 1girl <lora:lora_model:1>", # extra networks also in prompts
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"negative_prompt": "",
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"seed": 1,
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"steps": 20,
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"width": 512,
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"height": 512,
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"cfg_scale": 7,
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"sampler_name": "DPM++ 2M",
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"n_iter": 1,
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"batch_size": 1,
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# example args for x/y/z plot
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# "script_name": "x/y/z plot",
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# "script_args": [
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# 1,
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# "10,20",
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# [],
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# 0,
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# "",
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# [],
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# 0,
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# "",
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# [],
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# True,
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# True,
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# False,
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# False,
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# 0,
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# False
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# ],
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# example args for Refiner and ControlNet
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# "alwayson_scripts": {
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# "ControlNet": {
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# "args": [
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# {
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# "batch_images": "",
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# "control_mode": "Balanced",
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# "enabled": True,
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# "guidance_end": 1,
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# "guidance_start": 0,
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# "image": {
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# "image": encode_file_to_base64(r"B:\path\to\control\img.png"),
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# "mask": None # base64, None when not need
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# },
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# "input_mode": "simple",
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# "is_ui": True,
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# "loopback": False,
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# "low_vram": False,
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# "model": "control_v11p_sd15_canny [d14c016b]",
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# "module": "canny",
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# "output_dir": "",
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# "pixel_perfect": False,
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# "processor_res": 512,
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# "resize_mode": "Crop and Resize",
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# "threshold_a": 100,
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# "threshold_b": 200,
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# "weight": 1
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# }
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# ]
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# },
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# "Refiner": {
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# "args": [
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# True,
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# "sd_xl_refiner_1.0",
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# 0.5
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# ]
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# }
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# },
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# "enable_hr": True,
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# "hr_upscaler": "R-ESRGAN 4x+ Anime6B",
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# "hr_scale": 2,
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# "denoising_strength": 0.5,
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# "styles": ['style 1', 'style 2'],
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# "override_settings": {
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# 'sd_model_checkpoint': "sd_xl_base_1.0", # this can use to switch sd model
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# },
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}
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call_txt2img_api(**payload)
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init_images = [
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encode_file_to_base64(r"../stable-diffusion-webui/output/img2img-images/2024-05-15/00012-357584826.png"),
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# encode_file_to_base64(r"B:\path\to\img_2.png"),
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# "https://image.can/also/be/a/http/url.png",
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]
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batch_size = 2
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payload = {
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"prompt": "1girl, blue hair",
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"seed": 1,
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"steps": 20,
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"width": 512,
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"height": 512,
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"denoising_strength": 0.5,
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"n_iter": 1,
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"init_images": init_images,
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"batch_size": batch_size if len(init_images) == 1 else len(init_images),
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# "mask": encode_file_to_base64(r"B:\path\to\mask.png")
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}
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# if len(init_images) > 1 then batch_size should be == len(init_images)
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# else if len(init_images) == 1 then batch_size can be any value int >= 1
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call_img2img_api(**payload)
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# there exist a useful extension that allows converting of webui calls to api payload
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# particularly useful when you wish setup arguments of extensions and scripts
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# https://github.com/huchenlei/sd-webui-api-payload-display
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87
main.py
87
main.py
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@ -1,10 +1,9 @@
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import json
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import requests
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import io
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import re
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import os
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import re
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import io
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import uuid
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import base64
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import requests
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from datetime import datetime
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from PIL import Image, PngImagePlugin
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from pyrogram import Client, filters
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@ -13,13 +12,13 @@ from dotenv import load_dotenv
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# Load environment variables
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load_dotenv()
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API_ID = os.environ.get("API_ID", None)
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API_HASH = os.environ.get("API_HASH", None)
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TOKEN = os.environ.get("TOKEN_givemtxt2img", None)
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SD_URL = os.environ.get("SD_URL", None)
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API_ID = os.environ.get("API_ID")
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API_HASH = os.environ.get("API_HASH")
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TOKEN = os.environ.get("TOKEN_givemtxt2img")
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SD_URL = os.environ.get("SD_URL")
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app = Client("stable", api_id=API_ID, api_hash=API_HASH, bot_token=TOKEN)
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IMAGE_PATH = 'images' # Do not leave a trailing /
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IMAGE_PATH = 'images'
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# Ensure IMAGE_PATH directory exists
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os.makedirs(IMAGE_PATH, exist_ok=True)
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key = "negative_prompt"
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if key in default_payload:
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value_end_index = re.search(r"(?=\s+\w+:|$)", input_string[value_start_index:]).start()
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value = input_string[value_start_index: value_start_index + value_end_index].strip()
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value_end_index = re.search(r"(?=\s+\w+:|$)", input_string[value_start_index:])
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value = input_string[value_start_index: value_start_index + value_end_index.start()].strip()
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payload[key] = value
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last_index += value_end_index
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last_index += value_end_index.start()
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else:
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prompt.append(f"{key}:")
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return payload
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def call_api(api_endpoint, payload):
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try:
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response = requests.post(f'{SD_URL}/{api_endpoint}', json=payload)
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for i in images:
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image = Image.open(io.BytesIO(base64.b64decode(i.split(",", 1)[0])))
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png_payload = {"image": "data:image/png;base64," + i}
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response2 = requests.post(f"{SD_URL}/sdapi/v1/png-info", json=png_payload)
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response2.raise_for_status()
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return word, response2.json().get("info")
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def create_caption(payload, user_name, user_id, info):
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seed_value = info.split(", Seed: ")[1].split(",")[0]
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caption = f"**[{user_name}](tg://user?id={user_id})**\n\n"
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prompt = payload["prompt"]
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caption += f"**{prompt}**\n"
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caption += f"Seed - **{seed_value}**\n"
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if len(caption) > 1024:
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caption = caption[:1021] + "..."
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return caption
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@app.on_message(filters.command(["draw"]))
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def draw(client, message):
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msgs = message.text.split(" ", 1)
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if r:
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for i in r["images"]:
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word, info = process_images([i], message.from_user.id, message.from_user.first_name)
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seed_value = info.split(", Seed: ")[1].split(",")[0]
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caption = f"**[{message.from_user.first_name}](tg://user?id={message.from_user.id})**\n\n"
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# for key, value in payload.items():
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# caption += f"{key.capitalize()} - **{value}**\n"
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prompt = payload["prompt"]
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caption += f"**{prompt}**\n"
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caption += f"Seed - **{seed_value}**\n"
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# Ensure caption is within the allowed length
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if len(caption) > 1024:
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caption = caption[:1021] + "..."
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caption = create_caption(payload, message.from_user.first_name, message.from_user.id, info)
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message.reply_photo(photo=f"{IMAGE_PATH}/{word}.png", caption=caption)
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K.delete()
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K.delete()
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else:
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message.reply_text("Failed to generate image. Please try again later.")
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K.delete()
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@app.on_message(filters.command(["img"]))
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def img2img(client, message):
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if not message.reply_to_message or not message.reply_to_message.photo:
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message.reply_text("reply to an image with \n`/img < prompt > ds:0-1.0`\n\nds stand for `Denoising_strength` parameter. Set that low (like 0.2) if you just want to slightly change things. defaults to 0.4")
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message.reply_text("Reply to an image with\n`/img < prompt > ds:0-1.0`\n\nds stands for `Denoising_strength` parameter. Set that low (like 0.2) if you just want to slightly change things. defaults to 0.4")
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return
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msgs = message.text.split(" ", 1)
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print(msgs)
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if len(msgs) == 1:
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message.reply_text("""Format :\n/img < prompt >\nforce: < 0.1-1.0, default 0.3 >
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""")
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message.reply_text("Format :\n/img < prompt >\nforce: < 0.1-1.0, default 0.3 >")
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return
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payload = parse_input(" ".join(msgs[1:]))
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print(payload)
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payload = parse_input(msgs[1])
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photo = message.reply_to_message.photo
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photo_file = app.download_media(photo)
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init_image = encode_file_to_base64(photo_file)
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if r:
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for i in r["images"]:
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word, info = process_images([i], message.from_user.id, message.from_user.first_name)
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caption = f"**[{message.from_user.first_name}](tg://user?id={message.from_user.id})**\n\n"
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prompt = payload["prompt"]
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caption += f"**{prompt}**\n"
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caption = create_caption(payload, message.from_user.first_name, message.from_user.id, info)
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message.reply_photo(photo=f"{IMAGE_PATH}/{word}.png", caption=caption)
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K.delete()
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K.delete()
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else:
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message.reply_text("Failed to process image. Please try again later.")
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K.delete()
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except requests.RequestException as e:
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await callback_query.message.reply_text(f"Failed to set checkpoint: {e}")
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# @app.on_message(filters.command(["start"], prefixes=["/", "!"]))
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# async def start(client, message):
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# buttons = [[InlineKeyboardButton("Add to your group", url="https://t.me/gootmornbot?startgroup=true")]]
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# await message.reply_text("Hello!\nAsk me to imagine anything\n\n/draw text to image", reply_markup=InlineKeyboardMarkup(buttons))
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user_interactions = {}
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@app.on_message(filters.command(["user_stats"]))
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def user_stats(client, message):
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stats = "User Interactions:\n\n"
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for user_id, info in user_interactions.items():
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stats += f"User: {info['username']} (ID: {user_id})\n"
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stats += f"Commands: {', '.join(info['commands'])}\n\n"
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message.reply_text(stats)
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app.run()
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