comfyui.py 4.8 KB

123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147
  1. import asyncio
  2. import websocket # NOTE: websocket-client (https://github.com/websocket-client/websocket-client)
  3. import json
  4. import urllib.request
  5. import urllib.parse
  6. import random
  7. import logging
  8. from config import SRC_LOG_LEVELS
  9. log = logging.getLogger(__name__)
  10. log.setLevel(SRC_LOG_LEVELS["COMFYUI"])
  11. from pydantic import BaseModel
  12. from typing import Optional
  13. def queue_prompt(prompt, client_id, base_url):
  14. log.info("queue_prompt")
  15. p = {"prompt": prompt, "client_id": client_id}
  16. data = json.dumps(p).encode("utf-8")
  17. req = urllib.request.Request(f"{base_url}/prompt", data=data)
  18. return json.loads(urllib.request.urlopen(req).read())
  19. def get_image(filename, subfolder, folder_type, base_url):
  20. log.info("get_image")
  21. data = {"filename": filename, "subfolder": subfolder, "type": folder_type}
  22. url_values = urllib.parse.urlencode(data)
  23. with urllib.request.urlopen(f"{base_url}/view?{url_values}") as response:
  24. return response.read()
  25. def get_image_url(filename, subfolder, folder_type, base_url):
  26. log.info("get_image")
  27. data = {"filename": filename, "subfolder": subfolder, "type": folder_type}
  28. url_values = urllib.parse.urlencode(data)
  29. return f"{base_url}/view?{url_values}"
  30. def get_history(prompt_id, base_url):
  31. log.info("get_history")
  32. with urllib.request.urlopen(f"{base_url}/history/{prompt_id}") as response:
  33. return json.loads(response.read())
  34. def get_images(ws, prompt, client_id, base_url):
  35. prompt_id = queue_prompt(prompt, client_id, base_url)["prompt_id"]
  36. output_images = []
  37. while True:
  38. out = ws.recv()
  39. if isinstance(out, str):
  40. message = json.loads(out)
  41. if message["type"] == "executing":
  42. data = message["data"]
  43. if data["node"] is None and data["prompt_id"] == prompt_id:
  44. break # Execution is done
  45. else:
  46. continue # previews are binary data
  47. history = get_history(prompt_id, base_url)[prompt_id]
  48. for o in history["outputs"]:
  49. for node_id in history["outputs"]:
  50. node_output = history["outputs"][node_id]
  51. if "images" in node_output:
  52. for image in node_output["images"]:
  53. url = get_image_url(
  54. image["filename"], image["subfolder"], image["type"], base_url
  55. )
  56. output_images.append({"url": url})
  57. return {"data": output_images}
  58. class ComfyUINodeInput(BaseModel):
  59. field: Optional[str] = None
  60. node_id: str
  61. key: Optional[str] = "text"
  62. value: Optional[str] = None
  63. class ComfyUIWorkflow(BaseModel):
  64. workflow: str
  65. nodes: list[ComfyUINodeInput]
  66. class ComfyUIGenerateImageForm(BaseModel):
  67. workflow: ComfyUIWorkflow
  68. prompt: str
  69. negative_prompt: Optional[str] = None
  70. width: int
  71. height: int
  72. n: int = 1
  73. steps: Optional[int] = None
  74. seed: Optional[int] = None
  75. async def comfyui_generate_image(
  76. model: str, payload: ComfyUIGenerateImageForm, client_id, base_url
  77. ):
  78. ws_url = base_url.replace("http://", "ws://").replace("https://", "wss://")
  79. workflow = json.loads(payload.workflow.workflow)
  80. for node in payload.workflow.nodes:
  81. if node.field:
  82. if node.field == "model":
  83. workflow[node.node_id]["inputs"][node.key] = model
  84. elif node.field == "prompt":
  85. workflow[node.node_id]["inputs"]["text"] = payload.prompt
  86. elif node.field == "negative_prompt":
  87. workflow[node.node_id]["inputs"]["text"] = payload.negative_prompt
  88. elif node.field == "width":
  89. workflow[node.node_id]["inputs"]["width"] = payload.width
  90. elif node.field == "height":
  91. workflow[node.node_id]["inputs"]["height"] = payload.height
  92. elif node.field == "n":
  93. workflow[node.node_id]["inputs"]["batch_size"] = payload.n
  94. elif node.field == "steps":
  95. workflow[node.node_id]["inputs"]["steps"] = payload.steps
  96. elif node.field == "seed":
  97. workflow[node.node_id]["inputs"]["seed"] = (
  98. payload.seed
  99. if payload.seed
  100. else random.randint(0, 18446744073709551614)
  101. )
  102. else:
  103. workflow[node.node_id]["inputs"][node.key] = node.value
  104. try:
  105. ws = websocket.WebSocket()
  106. ws.connect(f"{ws_url}/ws?clientId={client_id}")
  107. log.info("WebSocket connection established.")
  108. except Exception as e:
  109. log.exception(f"Failed to connect to WebSocket server: {e}")
  110. return None
  111. try:
  112. images = await asyncio.to_thread(get_images, ws, workflow, client_id, base_url)
  113. except Exception as e:
  114. log.exception(f"Error while receiving images: {e}")
  115. images = None
  116. ws.close()
  117. return images