JonyandClaude Opus 4.6
69279c654d
- 新增 Grok Image 节点及客户端 - 新增 save_image_format 节点 - 新增前端 JS 扩展：画笔工具、点阵网格、侧边栏隐藏、资源切换、重命名等 - 重构 nano-banana 节点，移除 pro 版本 - 移除 multi_res_preview 节点 - 新增 http_error 工具模块 - 各客户端和节点优化改进 Co-Authored-By: Claude Opus 4.6 <[email protected]>
489 lines
20 KiB
Python
489 lines
20 KiB
Python
"""
|
|
Comfyui_o1key - ComfyUI 自定义节点集合
|
|
通过 api.o1key.com 调用 AI 模型进行图像生成和文本生成
|
|
|
|
项目结构:
|
|
├── nodes/ # 节点实现
|
|
├── utils/ # 工具模块
|
|
├── clients/ # API 客户端
|
|
└── __init__.py # 节点注册入口
|
|
"""
|
|
|
|
|
|
import ssl
|
|
import logging
|
|
|
|
# 屏蔽 ComfyUI 资产扫描的终端日志输出
|
|
_seeder_filter = lambda record: not any(
|
|
kw in record.getMessage()
|
|
for kw in ("Seeder start", "Asset scan", "Scan(", "Fast scan")
|
|
)
|
|
logging.getLogger().addFilter(_seeder_filter)
|
|
|
|
from .nodes import NanoBananaPro, BatchNanoBananaPro, GoogleGemini, LoadFile, ImageStitchPro, BatchCleanMetadata, VideoPreview, GoogleVeo, FluxImageEdit, UniversalLLMChat, KlingVideo, KlingFirstLastFrame, KlingMotionControlTest, AspectRatioPreset, BatchImagesO1key, Seedance, SeedanceMultiModal, StreamPreview, DoubaoImage, O1keyGPTImage, O1keyGrokImage, KVideoFirstLast, KVideoImage2Video
|
|
from .nodes import K3Video, K3VideoFirstLast, K3MotionControl, K3MotionVideoCheck, NanoBananaV2, NanoBananaV2Batch, SaveImageFormat
|
|
|
|
# 报错弹框友好文案（不修改原节点代码，仅在外层统一处理）
|
|
_MSG_TIMEOUT = "API 请求超时，请稍后重试或检查网络。"
|
|
_MSG_SSL_NETWORK = (
|
|
"本地网络不太稳定!解决方案如下:\n"
|
|
"1. 重启程序再试试看 (优先)\n"
|
|
"2. 调整一下网络环境,如wifi或宽带等\n"
|
|
"3. 切换VPN节点,或更换代理模式\n"
|
|
"4. 关掉杀毒软件或防火墙\n"
|
|
"5. 关掉浏览器VPN插件,避免冲突"
|
|
)
|
|
|
|
def _wrap_generate_for_error_display(cls, attr="generate"):
|
|
original = getattr(cls, attr, None)
|
|
if original is None:
|
|
return
|
|
def wrapped(self, *args, **kwargs):
|
|
try:
|
|
return original(self, *args, **kwargs)
|
|
except TimeoutError as e:
|
|
msg = (str(e) or "").strip()
|
|
if not msg:
|
|
msg = _MSG_TIMEOUT
|
|
raise TimeoutError(msg) from None
|
|
except (ssl.SSLError, OSError) as e:
|
|
err_str = str(e)
|
|
if "DECRYPTION_FAILED_OR_BAD_RECORD_MAC" in err_str or "decryption failed or bad record mac" in err_str.lower():
|
|
raise RuntimeError(_MSG_SSL_NETWORK) from None
|
|
raise
|
|
setattr(cls, attr, wrapped)
|
|
|
|
_wrap_generate_for_error_display(NanoBananaPro)
|
|
_wrap_generate_for_error_display(BatchNanoBananaPro)
|
|
_wrap_generate_for_error_display(NanoBananaV2)
|
|
_wrap_generate_for_error_display(NanoBananaV2Batch)
|
|
|
|
# ComfyUI 节点注册
|
|
NODE_CLASS_MAPPINGS = {
|
|
"NanoBanana": NanoBananaPro,
|
|
"BatchNanoBananaPro": BatchNanoBananaPro,
|
|
"GoogleGemini": GoogleGemini,
|
|
"LoadFile": LoadFile,
|
|
"ImageStitchPro": ImageStitchPro,
|
|
|
|
"BatchCleanMetadata": BatchCleanMetadata,
|
|
"VideoPreview": VideoPreview,
|
|
"GoogleVeo": GoogleVeo,
|
|
"FluxImageEdit": FluxImageEdit,
|
|
"UniversalLLMChat": UniversalLLMChat,
|
|
"KlingVideo": KlingVideo,
|
|
"KlingFirstLastFrame": KlingFirstLastFrame,
|
|
"KlingMotionControlTest": KlingMotionControlTest,
|
|
"AspectRatioPreset": AspectRatioPreset,
|
|
|
|
"BatchImagesO1key": BatchImagesO1key,
|
|
"Seedance": Seedance,
|
|
"SeedanceMultiModal": SeedanceMultiModal,
|
|
"StreamPreview": StreamPreview,
|
|
"DoubaoImage": DoubaoImage,
|
|
"O1keyGPTImage": O1keyGPTImage,
|
|
"O1keyGrokImage": O1keyGrokImage,
|
|
"KVideoFirstLast": KVideoFirstLast,
|
|
"KVideoImage2Video": KVideoImage2Video,
|
|
"K3Video": K3Video,
|
|
"K3VideoFirstLast": K3VideoFirstLast,
|
|
"K3MotionControl": K3MotionControl,
|
|
"K3MotionVideoCheck": K3MotionVideoCheck,
|
|
"NanoBananaV2": NanoBananaV2,
|
|
"NanoBananaV2Batch": NanoBananaV2Batch,
|
|
"SaveImageFormat": SaveImageFormat,
|
|
}
|
|
|
|
NODE_DISPLAY_NAME_MAPPINGS = {
|
|
"NanoBanana": "Nano Banana",
|
|
"BatchNanoBananaPro": "批量 Nano Banana",
|
|
"GoogleGemini": "Google Gemini",
|
|
"LoadFile": "加载文件",
|
|
"ImageStitchPro": "图像拼接 Pro",
|
|
|
|
"BatchCleanMetadata": "批量任务（防AI识别）",
|
|
"VideoPreview": "预览视频",
|
|
"GoogleVeo": "Google Veo - ab",
|
|
"FluxImageEdit": "Flux2 图像编辑",
|
|
"UniversalLLMChat": "全能LLM对话助手",
|
|
"KlingVideo": "文/图生视频 自研模型",
|
|
"KlingFirstLastFrame": "首尾帧生视频 自研模型",
|
|
"KlingMotionControlTest": "动作控制 自研模型",
|
|
"AspectRatioPreset": "图片宽高比预设",
|
|
|
|
"BatchImagesO1key": "加载图像（批量）",
|
|
"Seedance": "Seedance 视频生成",
|
|
"SeedanceMultiModal": "Seedance 多模态参考生视频",
|
|
"StreamPreview": "流式文本预览",
|
|
"DoubaoImage": "豆包生图",
|
|
"O1keyGPTImage": "o1key GPT Image",
|
|
"O1keyGrokImage": "Grok Image",
|
|
"KVideoFirstLast": "K26 图生视频（首尾帧）",
|
|
"KVideoImage2Video": "K26 图生视频",
|
|
"K3Video": "K3 图生视频 自研",
|
|
"K3VideoFirstLast": "首尾帧 K3 自研",
|
|
"K3MotionControl": "动作控制 K3 自研",
|
|
"K3MotionVideoCheck": "视频时长检测 K3",
|
|
"NanoBananaV2": "Nano Banana V2",
|
|
"NanoBananaV2Batch": "Nano Banana V2（批量）",
|
|
"SaveImageFormat": "保存图像（格式转换）",
|
|
}
|
|
|
|
WEB_DIRECTORY = "./web"
|
|
|
|
__all__ = ['NODE_CLASS_MAPPINGS', 'NODE_DISPLAY_NAME_MAPPINGS', 'WEB_DIRECTORY']
|
|
|
|
# 注册 /o1key/input_dir 接口，供前端文件上传按钮获取 input 目录绝对路径
|
|
try:
|
|
from aiohttp import web
|
|
from server import PromptServer
|
|
import folder_paths
|
|
from .utils.config import CONFIG_FILE, load_config, NETWORK_ROUTES
|
|
|
|
@PromptServer.instance.routes.get("/o1key/input_dir")
|
|
async def get_input_dir(request):
|
|
import os
|
|
path = os.path.abspath(folder_paths.get_input_directory())
|
|
return web.json_response({"path": path})
|
|
|
|
@PromptServer.instance.routes.get("/o1key/api_key")
|
|
async def get_api_key_route(request):
|
|
config = load_config()
|
|
key = config.get("O1KEY_API_KEY", "")
|
|
masked = ""
|
|
if key:
|
|
if len(key) > 8:
|
|
masked = key[:3] + "****" + key[-4:]
|
|
else:
|
|
masked = "****"
|
|
return web.json_response({"has_key": bool(key), "masked": masked})
|
|
|
|
@PromptServer.instance.routes.post("/o1key/api_key")
|
|
async def set_api_key_route(request):
|
|
import os
|
|
data = await request.json()
|
|
new_key = data.get("api_key", "").strip()
|
|
if not new_key:
|
|
return web.json_response({"error": "API Key 不能为空"}, status=400)
|
|
config = load_config()
|
|
config["O1KEY_API_KEY"] = new_key
|
|
lines = []
|
|
for k, v in config.items():
|
|
lines.append(f"{k}={v}")
|
|
with open(CONFIG_FILE, 'w', encoding='utf-8') as f:
|
|
f.write("\n".join(lines) + "\n")
|
|
return web.json_response({"success": True})
|
|
|
|
@PromptServer.instance.routes.post("/o1key/test_key")
|
|
async def test_api_key_route(request):
|
|
import aiohttp as _aiohttp
|
|
data = await request.json()
|
|
test_key = data.get("api_key", "").strip()
|
|
if not test_key:
|
|
return web.json_response({"valid": False, "error": "密钥不能为空"})
|
|
base_url = NETWORK_ROUTES.get("全球加速", "https://api.o1key.cn")
|
|
url = f"{base_url}/v1/models"
|
|
headers = {"Authorization": f"Bearer {test_key}"}
|
|
try:
|
|
async with _aiohttp.ClientSession() as session:
|
|
async with session.get(url, headers=headers, timeout=_aiohttp.ClientTimeout(total=10)) as resp:
|
|
if resp.status == 200:
|
|
return web.json_response({"valid": True})
|
|
elif resp.status == 401:
|
|
return web.json_response({"valid": False, "error": "密钥无效或已过期"})
|
|
else:
|
|
text = await resp.text()
|
|
return web.json_response({"valid": False, "error": f"验证失败 ({resp.status})"})
|
|
except Exception as e:
|
|
return web.json_response({"valid": False, "error": f"网络错误: {str(e)}"})
|
|
|
|
@PromptServer.instance.routes.delete("/o1key/api_key")
|
|
async def delete_api_key_route(request):
|
|
config = load_config()
|
|
config.pop("O1KEY_API_KEY", None)
|
|
lines = []
|
|
for k, v in config.items():
|
|
lines.append(f"{k}={v}")
|
|
with open(CONFIG_FILE, 'w', encoding='utf-8') as f:
|
|
f.write("\n".join(lines) + "\n")
|
|
return web.json_response({"success": True})
|
|
|
|
@PromptServer.instance.routes.get("/o1key/output_history")
|
|
async def get_output_history(request):
|
|
"""读取 output 目录文件，按执行分组返回 /api/jobs 兼容格式"""
|
|
import os, uuid, json as _json
|
|
limit = int(request.query.get("limit", "200"))
|
|
offset = int(request.query.get("offset", "0"))
|
|
output_dir = os.path.abspath(folder_paths.get_output_directory())
|
|
meta_file = os.path.join(output_dir, ".o1key_history.json")
|
|
meta = {}
|
|
if os.path.isfile(meta_file):
|
|
try:
|
|
with open(meta_file, "r", encoding="utf-8") as mf:
|
|
meta = _json.load(mf)
|
|
except Exception:
|
|
pass
|
|
supported_ext = {'.png', '.jpg', '.jpeg', '.webp', '.gif', '.mp4', '.webm'}
|
|
# 收集所有文件并按 workflow_id 分组
|
|
all_files = []
|
|
for fname in os.listdir(output_dir):
|
|
ext = os.path.splitext(fname)[1].lower()
|
|
if ext not in supported_ext:
|
|
continue
|
|
fpath = os.path.join(output_dir, fname)
|
|
if not os.path.isfile(fpath):
|
|
continue
|
|
mtime = os.path.getmtime(fpath)
|
|
media = "images" if ext in {'.png','.jpg','.jpeg','.webp','.gif'} else "video"
|
|
all_files.append({"name": fname, "mtime": mtime, "media": media})
|
|
# 按 workflow_id 分组（同一次执行合并为一个 job）
|
|
groups = {}
|
|
ungrouped = []
|
|
for f in all_files:
|
|
m = meta.get(f["name"], {})
|
|
wid = m.get("workflow_id")
|
|
if wid:
|
|
groups.setdefault(wid, []).append((f, m))
|
|
else:
|
|
ungrouped.append((f, {}))
|
|
# 构建 job 列表
|
|
jobs = []
|
|
for wid, items in groups.items():
|
|
items.sort(key=lambda x: x[0]["mtime"], reverse=True)
|
|
latest = items[0]
|
|
f, m = latest
|
|
start_ms = int(m.get("start_time", f["mtime"]) * 1000)
|
|
end_ms = int(m.get("end_time", f["mtime"]) * 1000)
|
|
jobs.append({
|
|
"id": wid,
|
|
"status": "completed",
|
|
"create_time": start_ms,
|
|
"execution_start_time": start_ms,
|
|
"execution_end_time": end_ms,
|
|
"preview_output": {
|
|
"filename": f["name"],
|
|
"subfolder": "",
|
|
"type": "output",
|
|
"nodeId": "0",
|
|
"mediaType": f["media"],
|
|
},
|
|
"outputs_count": len(items),
|
|
"execution_error": None,
|
|
"workflow_id": wid,
|
|
})
|
|
# 无元数据的文件各自作为独立 job
|
|
for f, m in ungrouped:
|
|
mtime_ms = int(f["mtime"] * 1000)
|
|
job_id = str(uuid.uuid5(uuid.NAMESPACE_URL, f["name"]))
|
|
jobs.append({
|
|
"id": job_id,
|
|
"status": "completed",
|
|
"create_time": mtime_ms,
|
|
"execution_start_time": mtime_ms,
|
|
"execution_end_time": mtime_ms,
|
|
"preview_output": {
|
|
"filename": f["name"],
|
|
"subfolder": "",
|
|
"type": "output",
|
|
"nodeId": "0",
|
|
"mediaType": f["media"],
|
|
},
|
|
"outputs_count": 1,
|
|
"execution_error": None,
|
|
"workflow_id": None,
|
|
})
|
|
# 按时间倒序排列，分页
|
|
jobs.sort(key=lambda x: x["create_time"], reverse=True)
|
|
total = len(jobs)
|
|
page = jobs[offset:offset+limit]
|
|
return web.json_response({
|
|
"jobs": page,
|
|
"pagination": {"offset": offset, "limit": limit, "total": total, "has_more": offset + limit < total}
|
|
})
|
|
|
|
@PromptServer.instance.routes.get("/o1key/output_workflow")
|
|
async def get_output_workflow(request):
|
|
"""从 PNG 元数据中读取工作流，供前端恢复使用"""
|
|
import os, struct, json as _json
|
|
filename = request.query.get("filename", "")
|
|
if not filename:
|
|
return web.json_response({"error": "missing filename"}, status=400)
|
|
output_dir = os.path.abspath(folder_paths.get_output_directory())
|
|
fpath = os.path.join(output_dir, filename)
|
|
if not os.path.isfile(fpath) or not fpath.lower().endswith(".png"):
|
|
return web.json_response({"error": "file not found"}, status=404)
|
|
workflow = None
|
|
prompt_data = None
|
|
try:
|
|
with open(fpath, "rb") as pf:
|
|
pf.read(8) # PNG signature
|
|
while True:
|
|
raw = pf.read(8)
|
|
if len(raw) < 8:
|
|
break
|
|
length = struct.unpack(">I", raw[:4])[0]
|
|
chunk_type = raw[4:8]
|
|
data = pf.read(length)
|
|
pf.read(4) # CRC
|
|
if chunk_type == b"tEXt":
|
|
key, val = data.split(b"\x00", 1)
|
|
k = key.decode("ascii", errors="replace")
|
|
if k == "workflow":
|
|
workflow = _json.loads(val)
|
|
elif k == "prompt":
|
|
prompt_data = _json.loads(val)
|
|
elif chunk_type == b"IEND":
|
|
break
|
|
except Exception:
|
|
pass
|
|
return web.json_response({"workflow": workflow, "prompt": prompt_data})
|
|
|
|
@PromptServer.instance.routes.get("/o1key/job_detail/{job_id}")
|
|
async def get_job_detail(request):
|
|
"""根据 job_id (workflow_id 或 uuid5) 返回含工作流的 job 详情"""
|
|
import os, uuid, struct, json as _json
|
|
job_id = request.match_info["job_id"]
|
|
output_dir = os.path.abspath(folder_paths.get_output_directory())
|
|
meta_file = os.path.join(output_dir, ".o1key_history.json")
|
|
meta = {}
|
|
if os.path.isfile(meta_file):
|
|
try:
|
|
with open(meta_file, "r", encoding="utf-8") as mf:
|
|
meta = _json.load(mf)
|
|
except Exception:
|
|
pass
|
|
supported_ext = {'.png', '.jpg', '.jpeg', '.webp', '.gif', '.mp4', '.webm'}
|
|
# 查找属于该 job 的所有文件（按 workflow_id 或 uuid5 匹配）
|
|
matched_files = []
|
|
for fname in os.listdir(output_dir):
|
|
ext = os.path.splitext(fname)[1].lower()
|
|
if ext not in supported_ext:
|
|
continue
|
|
m = meta.get(fname, {})
|
|
if m.get("workflow_id") == job_id:
|
|
matched_files.append(fname)
|
|
elif str(uuid.uuid5(uuid.NAMESPACE_URL, fname)) == job_id:
|
|
matched_files.append(fname)
|
|
if not matched_files:
|
|
return web.json_response({"error": "not found"}, status=404)
|
|
# 用最新文件作为代表
|
|
matched_files.sort(key=lambda f: os.path.getmtime(os.path.join(output_dir, f)), reverse=True)
|
|
target_file = matched_files[0]
|
|
fpath = os.path.join(output_dir, target_file)
|
|
m = meta.get(target_file, {})
|
|
mtime = os.path.getmtime(fpath)
|
|
start_ms = int(m.get("start_time", mtime) * 1000)
|
|
end_ms = int(m.get("end_time", mtime) * 1000)
|
|
ext = os.path.splitext(target_file)[1].lower()
|
|
media = "images" if ext in {'.png','.jpg','.jpeg','.webp','.gif'} else "video"
|
|
# 读取 PNG 工作流元数据
|
|
workflow = None
|
|
if ext == ".png":
|
|
try:
|
|
with open(fpath, "rb") as pf:
|
|
pf.read(8)
|
|
while True:
|
|
raw = pf.read(8)
|
|
if len(raw) < 8:
|
|
break
|
|
length = struct.unpack(">I", raw[:4])[0]
|
|
chunk_type = raw[4:8]
|
|
data = pf.read(length)
|
|
pf.read(4)
|
|
if chunk_type == b"tEXt":
|
|
key, val = data.split(b"\x00", 1)
|
|
k = key.decode("ascii", errors="replace")
|
|
if k == "workflow":
|
|
workflow = _json.loads(val)
|
|
elif chunk_type == b"IEND":
|
|
break
|
|
except Exception:
|
|
pass
|
|
# 构建 outputs：包含该执行的所有文件
|
|
outputs = {}
|
|
for i, fname in enumerate(matched_files):
|
|
e = os.path.splitext(fname)[1].lower()
|
|
mt = "images" if e in {'.png','.jpg','.jpeg','.webp','.gif'} else "gifs"
|
|
outputs.setdefault(str(i), {}).setdefault(mt, []).append(
|
|
{"filename": fname, "subfolder": "", "type": "output"}
|
|
)
|
|
job_detail = {
|
|
"id": job_id,
|
|
"status": "completed",
|
|
"create_time": start_ms,
|
|
"execution_start_time": start_ms,
|
|
"execution_end_time": end_ms,
|
|
"preview_output": {
|
|
"filename": target_file,
|
|
"subfolder": "",
|
|
"type": "output",
|
|
"nodeId": "0",
|
|
"mediaType": media,
|
|
},
|
|
"outputs_count": len(matched_files),
|
|
"execution_error": None,
|
|
"workflow_id": job_id,
|
|
"workflow": {
|
|
"extra_data": {
|
|
"extra_pnginfo": {"workflow": workflow}
|
|
}
|
|
} if workflow else None,
|
|
"outputs": outputs,
|
|
}
|
|
return web.json_response(job_detail)
|
|
|
|
# === 执行事件 Hook：持久化耗时元数据 ===
|
|
import time as _time, json as _json2, os as _os
|
|
_execution_tracker = {}
|
|
|
|
_orig_send_sync = PromptServer.instance.send_sync
|
|
|
|
def _patched_send_sync(event, data, *args, **kwargs):
|
|
try:
|
|
if event == "execution_start":
|
|
pid = data.get("prompt_id", "")
|
|
if pid:
|
|
_execution_tracker[pid] = {"start": _time.time(), "outputs": []}
|
|
elif event == "executed":
|
|
pid = data.get("prompt_id", "")
|
|
output = data.get("output") or {}
|
|
if pid and pid in _execution_tracker:
|
|
for img in output.get("images", []) + output.get("gifs", []):
|
|
if img.get("type") == "output" and img.get("filename"):
|
|
_execution_tracker[pid]["outputs"].append(img["filename"])
|
|
elif event == "executing" and data.get("node") is None:
|
|
pid = data.get("prompt_id", "")
|
|
tracker = _execution_tracker.pop(pid, None)
|
|
if tracker and tracker["outputs"]:
|
|
end_time = _time.time()
|
|
start_time = tracker["start"]
|
|
output_dir = _os.path.abspath(folder_paths.get_output_directory())
|
|
meta_file = _os.path.join(output_dir, ".o1key_history.json")
|
|
meta = {}
|
|
if _os.path.isfile(meta_file):
|
|
try:
|
|
with open(meta_file, "r", encoding="utf-8") as mf:
|
|
meta = _json2.load(mf)
|
|
except Exception:
|
|
pass
|
|
for fname in tracker["outputs"]:
|
|
meta[fname] = {
|
|
"start_time": start_time,
|
|
"end_time": end_time,
|
|
"outputs_count": len(tracker["outputs"]),
|
|
"workflow_id": pid,
|
|
}
|
|
try:
|
|
with open(meta_file, "w", encoding="utf-8") as mf:
|
|
_json2.dump(meta, mf, ensure_ascii=False)
|
|
except Exception:
|
|
pass
|
|
except Exception:
|
|
pass
|
|
return _orig_send_sync(event, data, *args, **kwargs)
|
|
|
|
PromptServer.instance.send_sync = _patched_send_sync
|
|
|
|
except Exception:
|
|
pass
|