Files
pyworker/workers/comfyui-json/worker.py
T
2025-12-30 10:26:57 -08:00

85 lines
2.6 KiB
Python

import random
import sys
from vastai import Worker, WorkerConfig, HandlerConfig, LogActionConfig, BenchmarkConfig
# ComyUI model configuration
MODEL_SERVER_URL = 'http://127.0.0.1'
MODEL_SERVER_PORT = 18288
MODEL_LOG_FILE = '/var/log/portal/comfyui.log'
MODEL_HEALTHCHECK_ENDPOINT = "/health"
# ComyUI-specific log messages
MODEL_LOAD_LOG_MSG = [
"To see the GUI go to: "
]
MODEL_ERROR_LOG_MSGS = [
"MetadataIncompleteBuffer",
"Value not in list: ",
"[ERROR] Provisioning Script failed"
]
MODEL_INFO_LOG_MSGS = [
'"message":"Downloading'
]
benchmark_prompts = [
"Cartoon hoodie hero; orc, anime cat, bunny; black goo; buff; vector on white.",
"Cozy farming-game scene with fine details.",
"2D vector child with soccer ball; airbrush chrome; swagger; antique copper.",
"Realistic futuristic downtown of low buildings at sunset.",
"Perfect wave front view; sunny seascape; ultra-detailed water; artful feel.",
"Clear cup with ice, fruit, mint; creamy swirls; fluid-sim CGI; warm glow.",
"Male biker with backpack on motorcycle; oilpunk; award-worthy magazine cover.",
"Collage for textile; surreal cartoon cat in cap/jeans before poster; crisp.",
"Medieval village inside glass sphere; volumetric light; macro focus.",
"Iron Man with glowing axe; mecha sci-fi; jungle scene; dynamic light.",
"Pope Francis DJ in leather jacket, mixing on giant console; dramatic.",
]
benchmark_dataset = [
{
"input": {
"request_id": f"test-{random.randint(1000, 99999)}",
"modifier": "Text2Image",
"modifications": {
"prompt": prompt,
"width": 512,
"height": 512,
"steps": 20,
"seed": random.randint(0, sys.maxsize)
}
}
} for prompt in benchmark_prompts
]
worker_config = WorkerConfig(
model_server_url=MODEL_SERVER_URL,
model_server_port=MODEL_SERVER_PORT,
model_log_file=MODEL_LOG_FILE,
model_healthcheck_url=MODEL_HEALTHCHECK_ENDPOINT,
max_sessions=7,
handlers=[
HandlerConfig(
route="/generate/sync",
allow_parallel_requests=False,
benchmark_config=BenchmarkConfig(
dataset=benchmark_dataset,
)
),
HandlerConfig(
route="/generate",
allow_parallel_requests=False,
)
],
log_action_config=LogActionConfig(
on_load=MODEL_LOAD_LOG_MSG,
on_error=MODEL_ERROR_LOG_MSGS,
on_info=MODEL_INFO_LOG_MSGS
)
)
Worker(worker_config).run()