mirror of
https://git.datalinker.icu/ltdrdata/ComfyUI-Manager
synced 2025-12-14 00:24:23 +08:00
601f1bf452
- Add client_id field to QueueTaskItem and TaskHistoryItem models - Implement client-specific WebSocket message routing - Add client filtering to queue status and history endpoints - Follow ComfyUI patterns for session management - Create data_models package for better code organization
40 lines
1.8 KiB
Python
40 lines
1.8 KiB
Python
from comfy.cli_args import args
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SECURITY_MESSAGE_MIDDLE_OR_BELOW = "ERROR: To use this action, a security_level of `middle or below` is required. Please contact the administrator.\nReference: https://github.com/ltdrdata/ComfyUI-Manager#security-policy"
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SECURITY_MESSAGE_NORMAL_MINUS = "ERROR: To use this feature, you must either set '--listen' to a local IP and set the security level to 'normal-' or lower, or set the security level to 'middle' or 'weak'. Please contact the administrator.\nReference: https://github.com/ltdrdata/ComfyUI-Manager#security-policy"
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SECURITY_MESSAGE_GENERAL = "ERROR: This installation is not allowed in this security_level. Please contact the administrator.\nReference: https://github.com/ltdrdata/ComfyUI-Manager#security-policy"
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SECURITY_MESSAGE_NORMAL_MINUS_MODEL = "ERROR: Downloading models that are not in '.safetensors' format is only allowed for models registered in the 'default' channel at this security level. If you want to download this model, set the security level to 'normal-' or lower."
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def is_loopback(address):
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import ipaddress
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try:
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return ipaddress.ip_address(address).is_loopback
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except ValueError:
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return False
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is_local_mode = is_loopback(args.listen)
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model_dir_name_map = {
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"checkpoints": "checkpoints",
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"checkpoint": "checkpoints",
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"unclip": "checkpoints",
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"text_encoders": "text_encoders",
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"clip": "text_encoders",
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"vae": "vae",
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"lora": "loras",
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"t2i-adapter": "controlnet",
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"t2i-style": "controlnet",
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"controlnet": "controlnet",
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"clip_vision": "clip_vision",
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"gligen": "gligen",
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"upscale": "upscale_models",
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"embedding": "embeddings",
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"embeddings": "embeddings",
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"unet": "diffusion_models",
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"diffusion_model": "diffusion_models",
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}
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