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import json
import logging
import random
import requests
import aiohttp
import urllib.parse
import urllib.request
from typing import Optional
import websocket # NOTE: websocket-client (https://github.com/websocket-client/websocket-client)
from pydantic import BaseModel
log = logging.getLogger(__name__)
default_headers = {"User-Agent": "Mozilla/5.0"}
def queue_prompt(prompt, client_id, base_url, api_key):
log.info("queue_prompt")
p = {"prompt": prompt, "client_id": client_id}
data = json.dumps(p).encode("utf-8")
log.debug(f"queue_prompt data: {data}")
try:
req = urllib.request.Request(
f"{base_url}/prompt",
data=data,
headers={**default_headers, "Authorization": f"Bearer {api_key}"},
)
response = urllib.request.urlopen(req).read()
return json.loads(response)
except Exception as e:
log.exception(f"Error while queuing prompt: {e}")
raise e
def get_image(filename, subfolder, folder_type, base_url, api_key):
log.info("get_image")
data = {"filename": filename, "subfolder": subfolder, "type": folder_type}
url_values = urllib.parse.urlencode(data)
req = urllib.request.Request(
f"{base_url}/view?{url_values}",
headers={**default_headers, "Authorization": f"Bearer {api_key}"},
)
with urllib.request.urlopen(req) as response:
return response.read()
def get_image_url(filename, subfolder, folder_type, base_url):
log.info("get_image")
data = {"filename": filename, "subfolder": subfolder, "type": folder_type}
url_values = urllib.parse.urlencode(data)
return f"{base_url}/view?{url_values}"
def get_history(prompt_id, base_url, api_key):
log.info("get_history")
req = urllib.request.Request(
f"{base_url}/history/{prompt_id}",
headers={**default_headers, "Authorization": f"Bearer {api_key}"},
)
with urllib.request.urlopen(req) as response:
return json.loads(response.read())
def get_images(ws, workflow, client_id, base_url, api_key):
prompt_id = queue_prompt(workflow, client_id, base_url, api_key)["prompt_id"]
output_images = []
while True:
out = ws.recv()
if isinstance(out, str):
message = json.loads(out)
if message["type"] == "executing":
data = message["data"]
if data["node"] is None and data["prompt_id"] == prompt_id:
break # Execution is done
else:
continue # previews are binary data
history = get_history(prompt_id, base_url, api_key)[prompt_id]
for node_id in history["outputs"]:
node_output = history["outputs"][node_id]
if node_id in workflow and workflow[node_id].get("class_type") in [
"SaveImage",
"PreviewImage",
]:
if "images" in node_output:
for image in node_output["images"]:
url = get_image_url(
image["filename"], image["subfolder"], image["type"], base_url
)
output_images.append({"url": url})
return {"data": output_images}
async def comfyui_upload_image(image_file_item, base_url, api_key):
url = f"{base_url}/api/upload/image"
headers = {}
if api_key:
headers["Authorization"] = f"Bearer {api_key}"
_, (filename, file_bytes, mime_type) = image_file_item
form = aiohttp.FormData()
form.add_field("image", file_bytes, filename=filename, content_type=mime_type)
form.add_field("type", "input") # required by ComfyUI
async with aiohttp.ClientSession() as session:
async with session.post(url, data=form, headers=headers) as resp:
resp.raise_for_status()
return await resp.json()
class ComfyUINodeInput(BaseModel):
type: Optional[str] = None
node_ids: list[str] = []
key: Optional[str] = "text"
value: Optional[str] = None
class ComfyUIWorkflow(BaseModel):
workflow: str
nodes: list[ComfyUINodeInput]
class ComfyUICreateImageForm(BaseModel):
workflow: ComfyUIWorkflow
prompt: str
negative_prompt: Optional[str] = None
width: int
height: int
n: int = 1
steps: Optional[int] = None
seed: Optional[int] = None
async def comfyui_create_image(
model: str, payload: ComfyUICreateImageForm, client_id, base_url, api_key
):
ws_url = base_url.replace("http://", "ws://").replace("https://", "wss://")
workflow = json.loads(payload.workflow.workflow)
for node in payload.workflow.nodes:
if node.type:
if node.type == "model":
for node_id in node.node_ids:
workflow[node_id]["inputs"][node.key] = model
elif node.type == "prompt":
for node_id in node.node_ids:
workflow[node_id]["inputs"][
node.key if node.key else "text"
] = payload.prompt
elif node.type == "negative_prompt":
for node_id in node.node_ids:
workflow[node_id]["inputs"][
node.key if node.key else "text"
] = payload.negative_prompt
elif node.type == "width":
for node_id in node.node_ids:
workflow[node_id]["inputs"][
node.key if node.key else "width"
] = payload.width
elif node.type == "height":
for node_id in node.node_ids:
workflow[node_id]["inputs"][
node.key if node.key else "height"
] = payload.height
elif node.type == "n":
for node_id in node.node_ids:
workflow[node_id]["inputs"][
node.key if node.key else "batch_size"
] = payload.n
elif node.type == "steps":
for node_id in node.node_ids:
workflow[node_id]["inputs"][
node.key if node.key else "steps"
] = payload.steps
elif node.type == "seed":
seed = (
payload.seed
if payload.seed
else random.randint(0, 1125899906842624)
)
for node_id in node.node_ids:
workflow[node_id]["inputs"][node.key] = seed
else:
for node_id in node.node_ids:
workflow[node_id]["inputs"][node.key] = node.value
try:
ws = websocket.WebSocket()
headers = {"Authorization": f"Bearer {api_key}"}
ws.connect(f"{ws_url}/ws?clientId={client_id}", header=headers)
log.info("WebSocket connection established.")
except Exception as e:
log.exception(f"Failed to connect to WebSocket server: {e}")
return None
try:
log.info("Sending workflow to WebSocket server.")
log.info(f"Workflow: {workflow}")
images = await asyncio.to_thread(
get_images, ws, workflow, client_id, base_url, api_key
)
except Exception as e:
log.exception(f"Error while receiving images: {e}")
images = None
ws.close()
return images
class ComfyUIEditImageForm(BaseModel):
workflow: ComfyUIWorkflow
image: str | list[str]
prompt: str
width: Optional[int] = None
height: Optional[int] = None
n: Optional[int] = None
steps: Optional[int] = None
seed: Optional[int] = None
async def comfyui_edit_image(
model: str, payload: ComfyUIEditImageForm, client_id, base_url, api_key
):
ws_url = base_url.replace("http://", "ws://").replace("https://", "wss://")
workflow = json.loads(payload.workflow.workflow)
for node in payload.workflow.nodes:
if node.type:
if node.type == "model":
for node_id in node.node_ids:
workflow[node_id]["inputs"][node.key] = model
elif node.type == "image":
if isinstance(payload.image, list):
# check if multiple images are provided
for idx, node_id in enumerate(node.node_ids):
if idx < len(payload.image):
workflow[node_id]["inputs"][node.key] = payload.image[idx]
else:
for node_id in node.node_ids:
workflow[node_id]["inputs"][node.key] = payload.image
elif node.type == "prompt":
for node_id in node.node_ids:
workflow[node_id]["inputs"][
node.key if node.key else "text"
] = payload.prompt
elif node.type == "negative_prompt":
for node_id in node.node_ids:
workflow[node_id]["inputs"][
node.key if node.key else "text"
] = payload.negative_prompt
elif node.type == "width":
for node_id in node.node_ids:
workflow[node_id]["inputs"][
node.key if node.key else "width"
] = payload.width
elif node.type == "height":
for node_id in node.node_ids:
workflow[node_id]["inputs"][
node.key if node.key else "height"
] = payload.height
elif node.type == "n":
for node_id in node.node_ids:
workflow[node_id]["inputs"][
node.key if node.key else "batch_size"
] = payload.n
elif node.type == "steps":
for node_id in node.node_ids:
workflow[node_id]["inputs"][
node.key if node.key else "steps"
] = payload.steps
elif node.type == "seed":
seed = (
payload.seed
if payload.seed
else random.randint(0, 1125899906842624)
)
for node_id in node.node_ids:
workflow[node_id]["inputs"][node.key] = seed
else:
for node_id in node.node_ids:
workflow[node_id]["inputs"][node.key] = node.value
try:
ws = websocket.WebSocket()
headers = {"Authorization": f"Bearer {api_key}"}
ws.connect(f"{ws_url}/ws?clientId={client_id}", header=headers)
log.info("WebSocket connection established.")
except Exception as e:
log.exception(f"Failed to connect to WebSocket server: {e}")
return None
try:
log.info("Sending workflow to WebSocket server.")
log.info(f"Workflow: {workflow}")
images = await asyncio.to_thread(
get_images, ws, workflow, client_id, base_url, api_key
)
except Exception as e:
log.exception(f"Error while receiving images: {e}")
images = None
ws.close()
return images
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