166 lines
8.6 KiB
Python
166 lines
8.6 KiB
Python
import json
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import os
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import shutil
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import subprocess
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import uuid
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from pathlib import Path
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from typing import Dict
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import modal
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image = ( # build up a Modal Image to run ComfyUI, step by step
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modal.Image.debian_slim( # start from basic Linux with Python
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python_version="3.10"
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)
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.apt_install("git") # install git to clone ComfyUI
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.pip_install("fastapi[standard]==0.115.4") # install web dependencies
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.pip_install("comfy-cli==1.3.5") # install comfy-cli
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.pip_install("cos-python-sdk-v5")
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.pip_install("sqlalchemy")
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.pip_install("ultralytics")
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.pip_install("tencentcloud-sdk-python")
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.pip_install("pymysql")
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.pip_install("Pillow")
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.pip_install("ffmpy")
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.pip_install("opencv-python")
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.pip_install("av")
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.pip_install("imageio")
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.pip_install("loguru")
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.run_commands( # use comfy-cli to install ComfyUI and its dependencies
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"comfy --skip-prompt install --nvidia --version 0.3.10"
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)
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)
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image = (
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image.run_commands("comfy node install https://github.com/M1kep/ComfyLiterals")
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.run_commands("comfy node install https://github.com/evanspearman/ComfyMath")
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.run_commands("comfy node install https://github.com/Kosinkadink/ComfyUI-AnimateDiff-Evolved")
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.run_commands("comfy node install https://e.coding.net/g-ldyi2063/dev/ComfyUI-Bowong.git")
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.run_commands("comfy node install https://github.com/crystian/ComfyUI-Crystools")
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.run_commands("comfy node install https://github.com/pythongosssss/ComfyUI-Custom-Scripts")
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.run_commands("comfy node install https://e.coding.net/g-ldyi2063/dev/ComfyUI-CustomNode.git")
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.run_commands("comfy node install https://github.com/BennyKok/comfyui-deploy")
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.run_commands("comfy node install https://github.com/yolain/ComfyUI-Easy-Use")
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.run_commands("comfy node install https://e.coding.net/g-ldyi2063/dev/ComfyUI-VideoHelperSuite.git")
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.run_commands("comfy node install https://e.coding.net/g-ldyi2063/dev/CosyVoice-ComfyUI.git")
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.run_commands("comfy node install https://github.com/jags111/efficiency-nodes-comfyui")
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.run_commands("comfy node install https://github.com/WASasquatch/was-node-suite-comfyui")
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.run_commands("comfy node install https://github.com/rgthree/rgthree-comfy")
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.run_commands("comfy node install https://github.com/cubiq/ComfyUI_essentials")
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.run_commands("comfy node install https://github.com/melMass/comfy_mtb")
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.run_commands("comfy node install https://e.coding.net/g-ldyi2063/dev/ComfyUI-FFmpeg.git")
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.run_commands("comfy node install https://e.coding.net/g-ldyi2063/dev/ComfyUI-LatentSync-Node.git")
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.run_commands(
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"mkdir -p /root/comfy/ComfyUI/models/ComfyUI-CustomNode/model && rm -rf /root/comfy/ComfyUI/custom_nodes/ComfyUI-CustomNode/model && ln -s /root/comfy/ComfyUI/models/ComfyUI-CustomNode/model /root/comfy/ComfyUI/custom_nodes/ComfyUI-CustomNode/model"
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).run_commands(
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"mkdir -p /root/comfy/ComfyUI/models/ComfyUI-LatentSync-Node/checkpoints && rm -rf /root/comfy/ComfyUI/custom_nodes/ComfyUI-LatentSync-Node/checkpoints && ln -s /root/comfy/ComfyUI/models/ComfyUI-LatentSync-Node/checkpoints /root/comfy/ComfyUI/custom_nodes/ComfyUI-LatentSync-Node/checkpoints"
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).run_commands(
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"mkdir -p /root/comfy/ComfyUI/models/CosyVoice-ComfyUI/pretrained_models/CosyVoice-300M-SFT && mkdir -p /root/comfy/ComfyUI/custom_nodes/CosyVoice-ComfyUI/pretrained_models/CosyVoice-300M-SFT && rm -rf /root/comfy/ComfyUI/custom_nodes/CosyVoice-ComfyUI/pretrained_models/CosyVoice-300M-SFT && ln -s /root/comfy/ComfyUI/models/CosyVoice-ComfyUI/pretrained_models/CosyVoice-300M-SFT /root/comfy/ComfyUI/custom_nodes/CosyVoice-ComfyUI/pretrained_models/CosyVoice-300M-SFT"
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).run_commands(
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"mkdir -p /root/comfy/ComfyUI/models/.cache/torch/hub/checkpoints && mkdir -p /root/.cache/torch/hub/checkpoints && rm -rf /root/.cache/torch/hub/checkpoints && ln -s /root/comfy/ComfyUI/models/.cache/torch/hub/checkpoints /root/.cache/torch/hub/checkpoints"
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).run_commands(
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"mkdir -p /root/comfy/ComfyUI/models/stabilityai && ln -s /root/comfy/ComfyUI/models/stabilityai /root/comfy/ComfyUI/stabilityai"
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).run_commands(
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"rm -rf /root/comfy/ComfyUI/models"
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).run_commands(
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"apt update && apt install -y ffmpeg && ffmpeg -version"
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).add_local_file("config.yaml", "/root/comfy/ComfyUI/custom_nodes/ComfyUI-CustomNode/config.yaml", copy=True)
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# Add .run_commands(...) calls for any other custom nodes you want to download
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)
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app = modal.App(name="highlight-comfyui-s3", image=image)
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vol = modal.Volume.from_name("comfyui-model", create_if_missing=True)
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bucket_dict = modal.Dict.from_name("aws_s3_bucket", create_if_missing=True)
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bucket_input = str(bucket_dict.get("INPUT"))
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bucket_output = str(bucket_dict.get("OUTPUT"))
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secret = modal.Secret.from_name("aws-s3-secret")
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# completed workflows write output images to this directory
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output_dir = "/root/comfy/ComfyUI/output"
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@app.cls(
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allow_concurrent_inputs=1, # allow 10 concurrent API calls
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concurrency_limit=50,
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container_idle_timeout=120,
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# 5 minute container keep alive after it processes an input; increasing this value is a great way to reduce ComfyUI cold start times
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timeout=900,
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gpu="L4",
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cpu=8,
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# memory=(32768, 32768), # (内存预留量, 内存使用上限)
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memory=32768,
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secrets=[secret],
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volumes={
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"/root/comfy/ComfyUI/models": vol,
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"/root/comfy/ComfyUI/input_s3": modal.CloudBucketMount(
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bucket_name=bucket_input,
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# bucket_endpoint_url="https://s3.%s.amazonaws.com" % os.environ["AWS_REGION"],
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secret=secret,
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key_prefix="/"
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),
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"/root/comfy/ComfyUI/output_s3": modal.CloudBucketMount(
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bucket_name=bucket_output,
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# bucket_endpoint_url="https://s3.%s.amazonaws.com" % os.environ["AWS_REGION"],
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secret=secret,
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key_prefix="/"
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),
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},
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)
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class ComfyUI:
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@modal.enter()
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def launch_comfy_background(self):
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# starts the ComfyUI server in the background exactly once when the first input is received
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cmd = "comfy launch --background"
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subprocess.run(cmd, shell=True, check=True)
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@modal.method()
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def infer(self, workflow_json: str = ""):
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# runs the comfy run --workflow command as a subprocess
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session_id = str(uuid.uuid4())
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workflow = json.loads(workflow_json)
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file_to_move = None
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for node in workflow.values():
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if node.get("class_type") == "ComfyUIDeployExternalText":
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if node.get("inputs").get("input_id") == "file_path":
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file_to_move = node.get("inputs").get("default_value")
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if file_to_move:
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os.makedirs(os.path.dirname(file_to_move.replace("input_s3", "input")), exist_ok=True)
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shutil.copy(file_to_move, file_to_move.replace("input_s3", "input"))
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node["inputs"]["default_value"] = node["inputs"]["default_value"].replace("input_s3", "input")
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with open(f"/root/{session_id}.json", "w", encoding="utf-8") as f:
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f.write(json.dumps(workflow, ensure_ascii=False))
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cmd = f"comfy run --workflow /root/{session_id}.json --wait --timeout 900 --verbose"
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subprocess.run(cmd, shell=True, check=True)
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# looks up the name of the output image file based on the workflow
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file_prefix = [
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node.get("inputs")
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for node in workflow.values()
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if node.get("class_type") == "VHS_VideoCombine"
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][0]["filename_prefix"]
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# returns the image as bytes
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file_list = os.listdir(output_dir)
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# 获取按照文件时间创建排序的列表，默认是按时间升序
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new_file_list = sorted(file_list, key=lambda file: os.path.getctime(os.path.join(output_dir, file)),
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reverse=True)
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# print("file_list", new_file_list)
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for f in new_file_list:
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if f.startswith(file_prefix):
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os.makedirs(os.path.dirname(os.path.join(output_dir.replace("output", "output_s3"), f)), exist_ok=True)
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shutil.copy(os.path.join(output_dir, f), os.path.join(output_dir.replace("output", "output_s3"), f))
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return f
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@modal.web_endpoint(method="POST")
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def api(self, item: Dict):
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from fastapi import Response
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# save this updated workflow to a new file
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new_workflow_file = item["prompt"]
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# run inference on the currently running container
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fname = self.infer.local(new_workflow_file)
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j = {"file_name": fname}
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print("json", j)
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return Response(content=json.dumps(j), media_type="application/json")
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