This commit is contained in:
kyj@bowong.ai 2025-07-25 11:14:47 +08:00
parent d7c49f25c2
commit 6ba51fe59f
4 changed files with 215 additions and 48 deletions

View File

@ -14,55 +14,79 @@ image = (
.run_commands(
"comfy --skip-prompt install --fast-deps --nvidia --version 0.3.40"
)
.pip_install_from_pyproject(os.path.join(os.path.dirname(__file__),"pyproject.toml"))
.run_commands("comfy node install https://e.coding.net/g-ldyi2063/dev/ComfyUI-CustomNode.git", force_build=True)
.pip_install_from_pyproject(os.path.join(os.path.dirname(__file__), "pyproject.toml"))
.run_commands("comfy node install https://gitea.bowongai.com/Polaris/ComfyUI-CustomNode.git")
.run_commands("comfy node install https://github.com/yolain/ComfyUI-Easy-Use.git")
.run_commands("cp -f /root/comfy/ComfyUI/custom_nodes/ComfyUI-CustomNode/ext/nodes_bfl.py /root/comfy/ComfyUI/comfy_api_nodes/nodes_bfl.py")
.run_commands("comfy node install https://github.com/kijai/ComfyUI-WanVideoWrapper.git")
.run_commands("comfy node install https://github.com/christian-byrne/audio-separation-nodes-comfyui.git")
.run_commands("comfy node install https://github.com/crystian/ComfyUI-Crystools.git")
.run_commands("comfy node install https://github.com/pythongosssss/ComfyUI-Custom-Scripts.git")
.run_commands("comfy node install https://github.com/kijai/ComfyUI-KJNodes.git")
.run_commands("comfy node install https://github.com/Kosinkadink/ComfyUI-VideoHelperSuite.git")
.run_commands("comfy node install https://github.com/WASasquatch/was-node-suite-comfyui.git")
.run_commands("comfy node install https://github.com/cubiq/ComfyUI_essentials.git")
.run_commands("comfy node install https://github.com/Suzie1/ComfyUI_Comfyroll_CustomNodes.git")
.run_commands("comfy node install https://github.com/jamesWalker55/comfyui-various.git")
.pip_install("sageattention")
.run_commands("rm -rf /root/comfy/ComfyUI/models&&ln -s /models /root/comfy/ComfyUI/models")
.run_commands("rm -rf /root/comfy/ComfyUI/input&&ln -s /models/input /root/comfy/ComfyUI/input")
.run_commands("rm -rf /root/comfy/ComfyUI/outputs&&ln -s /models/output /root/comfy/ComfyUI/output")
)
app = modal.App(image=image)
custom_secret = modal.Secret.from_name("comfyui-custom-secret", environment_name="dev")
vol = modal.Volume.from_name("comfy_model", environment_name="dev", create_if_missing=True)
@app.function(
cpu=(4, 64),
memory=(2048, 131072),
min_containers=0,
buffer_containers=0,
max_containers=1,
secrets=[custom_secret]
gpu="L40S",
scaledown_window=600,
secrets=[custom_secret],
region="us",
volumes={
"/models": vol
}
)
@modal.concurrent(
max_inputs=10
max_inputs=20
)
@modal.web_server(8000, startup_timeout=60)
@modal.web_server(8000, startup_timeout=120)
def ui_1():
subprocess.Popen("comfy launch -- --cpu --listen 0.0.0.0 --port 8000", shell=True)
subprocess.Popen("comfy launch -- --listen 0.0.0.0 --port 8000", shell=True)
@app.function(
max_containers=1,
secrets=[custom_secret]
)
@modal.concurrent(
max_inputs=10
)
@modal.web_server(8000, startup_timeout=60)
def ui_2():
subprocess.Popen("comfy launch -- --cpu --listen 0.0.0.0 --port 8000", shell=True)
@app.function(
max_containers=1,
secrets=[custom_secret]
)
@modal.concurrent(
max_inputs=10
)
@modal.web_server(8000, startup_timeout=60)
def ui_3():
subprocess.Popen("comfy launch -- --cpu --listen 0.0.0.0 --port 8000", shell=True)
@app.function(
max_containers=1,
secrets=[custom_secret]
)
@modal.concurrent(
max_inputs=10
)
@modal.web_server(8000, startup_timeout=60)
def ui_4():
subprocess.Popen("comfy launch -- --cpu --listen 0.0.0.0 --port 8000", shell=True)
# @app.function(
# max_containers=1,
# secrets=[custom_secret]
# )
# @modal.concurrent(
# max_inputs=10
# )
# @modal.web_server(8000, startup_timeout=60)
# def ui_2():
# subprocess.Popen("comfy launch -- --cpu --listen 0.0.0.0 --port 8000", shell=True)
#
# @app.function(
# max_containers=1,
# secrets=[custom_secret]
# )
# @modal.concurrent(
# max_inputs=10
# )
# @modal.web_server(8000, startup_timeout=60)
# def ui_3():
# subprocess.Popen("comfy launch -- --cpu --listen 0.0.0.0 --port 8000", shell=True)
#
# @app.function(
# max_containers=1,
# secrets=[custom_secret]
# )
# @modal.concurrent(
# max_inputs=10
# )
# @modal.web_server(8000, startup_timeout=60)
# def ui_4():
# subprocess.Popen("comfy launch -- --cpu --listen 0.0.0.0 --port 8000", shell=True)

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@ -0,0 +1,141 @@
import os
import shutil
import tempfile
from pathlib import Path
import aiofiles
import httpx
import modal
from fastapi import FastAPI, HTTPException, UploadFile
from pydantic import BaseModel, HttpUrl
image = (
modal.Image.debian_slim(
python_version="3.10"
).pip_install(
["fastapi[standard]", "httpx", "aiofiles"]
)
)
app = modal.App(image=image)
vol = modal.Volume.from_name("comfy_model", create_if_missing=True)
DOWNLOAD_BASE_DIR = Path("/models")
@app.function(
cpu=(0.125, 8),
memory=(128, 4096),
scaledown_window=360,
timeout=600,
max_containers=500,
min_containers=0,
region="ap",
volumes={
"/models": vol
}
)
@modal.concurrent(max_inputs=20)
@modal.asgi_app()
def fastapi_webapp():
fastapi_app = FastAPI(
title="文件下载服务",
description="一个通过URL下载文件到指定目录的API端点",
)
# --- Pydantic 模型 ---
# 定义请求体的数据结构和验证规则
class DownloadRequest(BaseModel):
url: HttpUrl # Pydantic 会自动验证这是否是一个有效的URL
save_path: str # 用户指定的相对保存路径(例如 "videos/my_video.mp4" 或 "my_document.pdf"
# --- FastAPI 端点 ---
@fastapi_app.post("/download-file/", summary="从URL下载模型")
async def download_file_from_url(request: DownloadRequest):
if request.save_path.endswith("/"):
request.save_path += str(request.url).split("/")[-1].split("?")[0]
fn_call = await do_download.spawn.aio(request.url, request.save_path)
return {"task_id": fn_call.object_id}
@fastapi_app.post("/upload-file/", summary="上传模型")
async def upload_file(file: UploadFile, save_path: str):
if save_path.endswith("/"):
save_path += str(file.filename)
destination_path = DOWNLOAD_BASE_DIR.joinpath(save_path).resolve()
if os.path.exists(destination_path):
os.remove(destination_path)
print("删除成功")
with open(destination_path, "wb") as f:
f.write(await file.read())
return {"msg": "上传成功"}
return fastapi_app
@app.function(
cpu=(0.125, 8),
memory=(128, 4096),
scaledown_window=300,
timeout=3600,
max_containers=500,
min_containers=0,
region="ap",
volumes={
"/models": vol
}
)
async def do_download(url, save_path):
print(f"Downloading {url} to {save_path}")
file_name = os.path.basename(save_path)
if not file_name:
raise HTTPException(
status_code=400,
detail="无效的保存路径:无法提取文件名。"
)
# --- 安全性检查 ---
# 构建绝对目标路径
temp_path = "/tmp/" + str(file_name)
destination_path = DOWNLOAD_BASE_DIR.joinpath(save_path).resolve()
# 确保解析后的路径仍然在我们的基础下载目录内,防止目录遍历攻击
if not destination_path.is_relative_to(DOWNLOAD_BASE_DIR.resolve()):
raise HTTPException(
status_code=400,
detail="不安全的路径:禁止在指定的下载目录之外写入文件。"
)
# --- 文件下载与保存 ---
try:
# 创建目标文件夹(如果不存在)
destination_path.parent.mkdir(parents=True, exist_ok=True)
# 使用 httpx 进行异步网络请求
async with httpx.AsyncClient(follow_redirects=True) as client:
# 使用 stream=True 进行流式下载,适合大文件
async with client.stream("GET", str(url)) as response:
# 检查请求是否成功
response.raise_for_status()
# 使用 aiofiles 进行异步文件写入
async with aiofiles.open(temp_path, 'wb') as f:
async for chunk in response.aiter_bytes():
await f.write(chunk)
if os.path.exists(destination_path):
os.remove(destination_path)
print("删除成功")
os.system("cp -f {} {}".format(temp_path, destination_path))
print("移动成功")
except httpx.RequestError as e:
raise HTTPException(
status_code=502,
detail=f"下载文件时网络请求失败: {e}"
)
except Exception as e:
raise HTTPException(
status_code=500,
detail=f"处理文件时发生内部错误: {e}"
)
print({
"message": "文件下载成功",
"url": url,
"saved_at": str(destination_path)
})

View File

@ -40,7 +40,7 @@ class JMUtils:
self.cos_secret_key = yaml_config["cos_secret_key"]
self.cos_bucket_name = yaml_config["cos_sucai_bucket_name"]
def submit_task(self, prompt: str, img_url: str, duration: str = "10"):
def submit_task(self, prompt: str, img_url: str, duration: str = "10", resolution:str="720p"):
try:
headers = {
"Content-Type": "application/json",
@ -52,7 +52,7 @@ class JMUtils:
"content": [
{
"type": "text",
"text": f"{prompt} --resolution 1080p --dur {duration} --camerafixed false",
"text": f"{prompt} --resolution {resolution} --dur {duration} --camerafixed false",
},
{
"type": "image_url",
@ -253,7 +253,7 @@ class JMUtils:
"""
try:
# 下载视频
video_path = self.download_video(video_url)
video_path, _ = self.download_video(video_url)
# 获取视频总帧数
cmd_frames = [
@ -334,7 +334,8 @@ class JMGestureCorrect:
def INPUT_TYPES(s):
return {
"required": {
"image": ("IMAGE",)
"image": ("IMAGE",),
"resolution":(["720p","1080p"])
}
}
@ -343,7 +344,7 @@ class JMGestureCorrect:
FUNCTION = "gen"
CATEGORY = "不忘科技-自定义节点🚩/图片/姿态"
def gen(self, image: torch.Tensor):
def gen(self, image: torch.Tensor, resolution: str):
wait_time = 240
interval = 2
client = JMUtils()
@ -354,7 +355,7 @@ class JMGestureCorrect:
else:
raise Exception("上传失败")
prompt = "Stand straight ahead, facing the camera, showing your full body, maintaining a proper posture, keeping the camera still, and ensuring that your head and feet are all within the frame"
submit_data = client.submit_task(prompt, image_url)
submit_data = client.submit_task(prompt, image_url, duration="5", resolution=resolution)
if submit_data["status"]:
job_id = submit_data["data"]
else:
@ -385,6 +386,7 @@ class JMCustom:
"default": "Stand straight ahead, facing the camera, showing your full body, maintaining a proper posture, keeping the camera still, and ensuring that your head and feet are all within the frame",
"multiline": True}),
"duration": ("INT", {"default": 5, "min": 2, "max": 10}),
"resolution": (["720p", "1080p"]),
"wait_time": ("INT", {"default": 180, "min": 60, "max": 600}),
}
}
@ -394,7 +396,7 @@ class JMCustom:
FUNCTION = "gen"
CATEGORY = "不忘科技-自定义节点🚩/视频/即梦"
def gen(self, image: torch.Tensor, prompt: str, duration: int, wait_time: int):
def gen(self, image: torch.Tensor, prompt: str, duration: int, resolution: str, wait_time: int):
interval = 2
client = JMUtils()
image_io = client.tensor_to_io(image)
@ -403,7 +405,7 @@ class JMCustom:
image_url = upload_data["data"]
else:
raise Exception("上传失败")
submit_data = client.submit_task(prompt, image_url, str(duration))
submit_data = client.submit_task(prompt, image_url, str(duration), resolution=resolution)
if submit_data["status"]:
job_id = submit_data["data"]
else:

View File

@ -278,7 +278,7 @@ class ModalMidJourneyDescribeImage:
},
}
RETURN_TYPES = ("TEXT",)
RETURN_TYPES = ("STRING",)
RETURN_NAMES = ("描述内容",)
FUNCTION = "process"
OUTPUT_NODE = False