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README.md
15
README.md
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@ -7,21 +7,8 @@ this is a txt2img bot to converse with SDweb bot [API](https://github.com/AUTOMA
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supported invocation:
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`/draw <text>` - send prompt text to the bot and it will draw an image
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you can add `negative_prompt` using `ng: <text>`
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you can add `denoised intermediate steps` using `steps: <text>`
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you can add `denoised intermediate steps` using `steps: <text>`
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basicly anything the `/controlnet/txt2img` API payload supports
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like,
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```json
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{
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"prompt": "",
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"negative_prompt": "",
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"denoising_strength": 0.5,
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"seed": -1,
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"n_iter": 1,
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"steps": 20,
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"cfg_scale": 7
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}
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```
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examples:
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`/draw a city street`
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and without people
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159
main.py
159
main.py
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@ -1,7 +1,6 @@
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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 uuid
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import base64
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@ -27,97 +26,48 @@ SD_URL = os.environ.get("SD_URL", None)
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print(SD_URL)
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app = Client("stable", api_id=API_ID, api_hash=API_HASH, bot_token=TOKEN)
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# default params
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#default params
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steps_value_default = 40
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def parse_input(input_string):
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default_payload = {
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"prompt": "",
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"negative_prompt": "",
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"controlnet_input_image": [],
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"controlnet_mask": [],
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"controlnet_module": "",
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"controlnet_model": "",
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"controlnet_weight": 1,
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"controlnet_resize_mode": "Scale to Fit (Inner Fit)",
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"controlnet_lowvram": False,
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"controlnet_processor_res": 64,
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"controlnet_threshold_a": 64,
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"controlnet_threshold_b": 64,
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"controlnet_guidance": 1,
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"controlnet_guessmode": True,
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"enable_hr": False,
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"denoising_strength": 0.5,
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"hr_scale": 1.5,
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"hr_upscale": "Latent",
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"seed": -1,
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"subseed": -1,
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"subseed_strength": -1,
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"sampler_index": "",
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"batch_size": 1,
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"n_iter": 1,
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"steps": 20,
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"cfg_scale": 7,
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"width": 512,
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"height": 512,
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"restore_faces": True,
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"override_settings": {},
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"override_settings_restore_afterwards": True,
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}
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# Initialize an empty payload with the 'prompt' key
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payload = {"prompt": ""}
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prompt = []
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# Find all occurrences of keys (words ending with a colon)
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matches = re.finditer(r"(\w+):", input_string)
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last_index = 0
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# Iterate over the found keys
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for match in matches:
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key = match.group(1).lower() # Convert the key to lowercase
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value_start_index = match.end()
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# If there's text between the last key and the current key, add it to the prompt
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if last_index != match.start():
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prompt.append(input_string[last_index : match.start()].strip())
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last_index = value_start_index
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# Check if the key is in the default payload
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if key in default_payload:
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# Extract the value for the current key
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value_end_index = re.search(
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r"(?=\s+\w+:|$)", input_string[value_start_index:]
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).start()
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value = input_string[
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value_start_index : value_start_index + value_end_index
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].strip()
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# Check if the default value for the key is an integer
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if isinstance(default_payload[key], int):
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# If the value is a valid integer, store it as an integer in the payload
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if value.isdigit():
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payload[key] = int(value)
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else:
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# If the default value for the key is not an integer, store the value as is in the payload
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payload[key] = value
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last_index += value_end_index
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def process_input_string(string):
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ng_delimiter = "ng:"
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steps_delimiter = "steps:"
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ng_index = string.find(ng_delimiter)
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steps_index = string.find(steps_delimiter)
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if ng_index != -1 and steps_index != -1:
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if ng_index < steps_index:
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positive = string[:ng_index].strip()
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negative = string[ng_index + len(ng_delimiter):steps_index].strip()
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steps_str = string[steps_index + len(steps_delimiter):].strip().split()[0]
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else:
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# If the key is not in the default payload, add it to the prompt
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prompt.append(f"{key}:")
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positive = string[:steps_index].strip()
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negative = string[steps_index + len(steps_delimiter):ng_index].strip()
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steps_str = string[ng_index + len(ng_delimiter):].strip().split()[0]
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elif ng_index != -1:
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positive = string[:ng_index].strip()
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negative = string[ng_index + len(ng_delimiter):].strip()
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steps_str = None
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elif steps_index != -1:
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positive = string[:steps_index].strip()
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negative = None
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steps_str = string[steps_index + len(steps_delimiter):].strip().split()[0]
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else:
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positive = string.strip()
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negative = None
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steps_str = None
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# Join the prompt words and store it in the payload
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payload["prompt"] = " ".join(prompt)
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# If the prompt is empty, set the input string as the prompt
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if not payload["prompt"]:
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payload["prompt"] = input_string.strip()
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# Return the final payload
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return payload
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try:
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steps_value = int(steps_str)
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#limit steps to range
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if not 1 <= steps_value <= 70:
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steps_value = steps_value_default
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except (ValueError, TypeError):
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steps_value = None
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return positive, negative, steps_value
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@app.on_message(filters.command(["draw"]))
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def draw(client, message):
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@ -128,11 +78,20 @@ def draw(client, message):
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)
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return
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payload = parse_input(msgs[1])
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positive, negative, steps_value = process_input_string(msgs[1])
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payload = {
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"prompt": positive,
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}
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if negative is not None:
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payload["negative_prompt"] = negative
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if steps_value is not None:
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payload["steps"] = steps_value
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print(payload)
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# The rest of the draw function remains unchanged
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K = message.reply_text("Please Wait 10-15 Second")
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r = requests.post(url=f"{SD_URL}/sdapi/v1/txt2img", json=payload).json()
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@ -152,23 +111,15 @@ def draw(client, message):
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pnginfo.add_text("parameters", response2.json().get("info"))
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image.save(f"{word}.png", pnginfo=pnginfo)
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# Add a flag to check if the user provided a seed value
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user_provided_seed = "seed" in payload
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info_dict = response2.json()
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seed_value = info_dict['info'].split(", Seed: ")[1].split(",")[0]
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# print(seed_value)
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caption = f"**[{message.from_user.first_name}-Kun](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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caption += f"Seed - **{seed_value}**\n"
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message.reply_photo(
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photo=f"{word}.png",
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caption=caption,
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)
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photo=f"{word}.png",
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caption=(
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f"Prompt - **{positive}**\n"
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f"Negative Prompt - **{negative if negative is not None else 'None'}**\n"
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f"Steps - **{steps_value if steps_value != steps_value_default else 'Default'}**\n"
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f"**[{message.from_user.first_name}-Kun](tg://user?id={message.from_user.id})**"
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),
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)
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# os.remove(f"{word}.png")
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K.delete()
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