104 lines
3.3 KiB
Python
104 lines
3.3 KiB
Python
import gradio as gr
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from modules import script_callbacks
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from modules import ui
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from modules import shared
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import threading
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import time
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import os
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from modules.processing import StableDiffusionProcessing
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github_link = "https://github.com/davehornik/sd-discord-rich_presence"
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enable_dynamic_status = True
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def start_rpc():
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print('[Discord Rich Presence] Running Discord Rich Presence Extension, version 1.1.0')
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print(f'[Discord Rich Presence] Bug reporting -> {github_link}')
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# Check if the required packages are installed, and install them if necessary
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from launch import is_installed, run_pip
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if not is_installed("pypresence"):
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print("[Discord Rich Presence] Installing missing 'pypresence' module and its dependencies,")
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print("[Discord Rich Presence] In case of module error after the installation -> restart WebUI.")
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run_pip("install pypresence", "pypresence")
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else:
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print("[Discord Rich Presence] 'pypresence' module is installed - skipping.")
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checkpoint_info = shared.sd_model.sd_checkpoint_info
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model_name = os.path.basename(checkpoint_info.filename)
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import pypresence
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client_id = "1091507869200957450"
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rpc = pypresence.Presence(client_id)
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rpc.connect()
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time_c = time.time()
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rpc.update(
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state="Waiting for the start" if enable_dynamic_status else "Dynamic Status - OFF",
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details=model_name,
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large_image="unknown" if enable_dynamic_status else "auto",
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start=time_c
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)
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state_watcher = threading.Thread(target=state_watcher_thread, args=(rpc,), daemon=True)
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state_watcher.start()
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if enable_dynamic_status:
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print("[Discord Rich Presence] Make sure that Game Activity is enabled in Discord.")
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print("[Discord Rich Presence] Should be running already if there's no error.")
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def state_watcher_thread(rpc):
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reset_time = False
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batch_size_r = False
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batch_size = 0
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while True:
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checkpoint_info = shared.sd_model.sd_checkpoint_info
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model_name = os.path.basename(checkpoint_info.filename)
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if shared.state.job_count == 0:
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if reset_time == False:
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time_c = time.time()
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reset_time = True
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if batch_size_r == True:
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batch_size_r = False
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batch_size = 0
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rpc.update(large_image="a1111",
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details=model_name,
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state="Idle",
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start=time_c)
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else:
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if reset_time == True:
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time_c = time.time()
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reset_time = False
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if batch_size_r == False:
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batch_size = get_batch_size()
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if batch_size != 0:
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batch_size_r = True
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rpc.update(large_image="a1111_gen",
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details=model_name,
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state=f'Total batch of {shared.state.job_count * batch_size} image/s',
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start=time_c)
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time.sleep(2) # update once per two seconds
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def on_ui_tabs():
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start_rpc()
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return []
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def get_batch_size():
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if shared.state.current_latent != None:
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x = shared.state.current_latent.size()
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x = x[0]
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return x
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else:
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return 0
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script_callbacks.on_ui_tabs(on_ui_tabs) |