InvokeAI/server/application.py

# Copyright (c) 2022 Kyle Schouviller (https://github.com/kyle0654)

"""Application module."""
import argparse
import json
import os
import sys
from flask import Flask
from flask_cors import CORS
from flask_socketio import SocketIO
from omegaconf import OmegaConf
from dependency_injector.wiring import inject, Provide
from ldm.dream.args import Args
from server import views
from server.containers import Container
from server.services import GeneratorService, SignalService

# The socketio_service is injected here (rather than created in run_app) to initialize it
@inject
def initialize_app(
  app: Flask,
  socketio: SocketIO = Provide[Container.socketio]
) -> SocketIO:
  socketio.init_app(app)
  
  return socketio

# The signal and generator services are injected to warm up the processing queues
# TODO: Initialize these a better way?
@inject
def initialize_generator(
  signal_service: SignalService = Provide[Container.signal_service],
  generator_service: GeneratorService = Provide[Container.generator_service]
):
  pass


def run_app(config, host, port) -> Flask:
  app = Flask(__name__, static_url_path='')

  # Set up dependency injection container
  container = Container()
  container.config.from_dict(config)
  container.wire(modules=[__name__])
  app.container = container
  
  # Set up CORS
  CORS(app, resources={r'/api/*': {'origins': '*'}})

  # Web Routes
  app.add_url_rule('/', view_func=views.WebIndex.as_view('web_index', 'index.html'))
  app.add_url_rule('/index.css', view_func=views.WebIndex.as_view('web_index_css', 'index.css'))
  app.add_url_rule('/index.js', view_func=views.WebIndex.as_view('web_index_js', 'index.js'))
  app.add_url_rule('/config.js', view_func=views.WebConfig.as_view('web_config'))

  # API Routes
  app.add_url_rule('/api/jobs', view_func=views.ApiJobs.as_view('api_jobs'))
  app.add_url_rule('/api/cancel', view_func=views.ApiCancel.as_view('api_cancel'))

  # TODO: Get storage root from config
  app.add_url_rule('/api/images/<string:dreamId>', view_func=views.ApiImages.as_view('api_images', '../'))
  app.add_url_rule('/api/images/<string:dreamId>/metadata', view_func=views.ApiImagesMetadata.as_view('api_images_metadata', '../'))
  app.add_url_rule('/api/images', view_func=views.ApiImagesList.as_view('api_images_list'))
  app.add_url_rule('/api/intermediates/<string:dreamId>/<string:step>', view_func=views.ApiIntermediates.as_view('api_intermediates', '../'))

  app.static_folder = os.path.abspath(os.path.join(os.path.dirname(__file__), '../static/dream_web/')) 

  # Initialize
  socketio = initialize_app(app)
  initialize_generator()

  print(">> Started Stable Diffusion api server!")
  if  host == '0.0.0.0':
    print(f"Point your browser at http://localhost:{port} or use the host's DNS name or IP address.")
  else:
    print(">> Default host address now 127.0.0.1 (localhost). Use --host 0.0.0.0 to bind any address.")
    print(f">> Point your browser at http://{host}:{port}.")

  # Run the app
  socketio.run(app, host, port)


def main():
  """Initialize command-line parsers and the diffusion model"""
  arg_parser = Args()
  opt = arg_parser.parse_args()

  if opt.laion400m:
      print('--laion400m flag has been deprecated. Please use --model laion400m instead.')
      sys.exit(-1)
  if opt.weights:
      print('--weights argument has been deprecated. Please edit ./configs/models.yaml, and select the weights using --model instead.')
      sys.exit(-1)
      
  # try:
  #   models  = OmegaConf.load(opt.config)
  #   width   = models[opt.model].width
  #   height  = models[opt.model].height
  #   config  = models[opt.model].config
  #   weights = models[opt.model].weights
  # except (FileNotFoundError, IOError, KeyError) as e:
  #   print(f'{e}. Aborting.')
  #   sys.exit(-1)

  #print('* Initializing, be patient...\n')
  sys.path.append('.')

  # these two lines prevent a horrible warning message from appearing
  # when the frozen CLIP tokenizer is imported
  import transformers

  transformers.logging.set_verbosity_error()

  appConfig = opt.__dict__

  # appConfig = {
  #   "model": {
  #     "width": width,
  #     "height": height,
  #     "sampler_name": opt.sampler_name,
  #     "weights": weights,
  #     "precision": opt.precision,
  #     "config": config,
  #     "grid": opt.grid,
  #     "latent_diffusion_weights": opt.laion400m,
  #     "embedding_path": opt.embedding_path
  #   }
  # }

  # make sure the output directory exists
  if not os.path.exists(opt.outdir):
    os.makedirs(opt.outdir)

  # gets rid of annoying messages about random seed
  from pytorch_lightning import logging
  logging.getLogger('pytorch_lightning').setLevel(logging.ERROR)

  print('\n* starting api server...')
  # Change working directory to the stable-diffusion directory
  os.chdir(
    os.path.abspath(os.path.join(os.path.dirname(__file__), '..'))
  )

  # Start server
  try:
    run_app(appConfig, opt.host, opt.port)
  except KeyboardInterrupt:
    pass


if __name__ == '__main__':
  main()