Files
ComfyUI-Lora-Manager/py/services/download_routing.py
T
Will Miao 3aa32120df fix(downloads): route unknown checkpoint baseModels to diffusion models by default
CivitAI labels new DiT architectures (MiniMax H3, future Flux/Wan/Qwen
variants) as model.type "Checkpoint" with plain "Model" file entries,
so the DIFFUSION_MODEL_BASE_MODELS allowlist could never keep up and
such downloads were mis-routed to the checkpoint roots (e.g. model
2877206 / version 3374439). The set of true full-checkpoint families is
closed, so the baseModel fallback is inverted:

1. file type UNet/Diffusion Model -> unet (unchanged)
2. baseModel in DIFFUSION_MODEL_BASE_MODELS (now incl. MiniMax H3) -> unet
3. baseModel in new CHECKPOINT_BASE_MODELS (SD 1.x/2.x/3.x, SDXL, Pony,
   Illustrious, NoobAI) -> checkpoint
4. unknown/empty baseModel -> new unknown_base_model_routing setting,
   defaulting to diffusion models

The setting is exposed under Settings > Downloads, validated in
SettingsManager, and threaded into both the download manager and the
download routing endpoint so they keep agreeing.
2026-10-02 09:58:01 +08:00

124 lines
4.2 KiB
Python

"""Shared download routing logic.
Decides whether a download initiated from the checkpoint library should be
routed to the unet/diffusion-model roots instead of the checkpoint roots.
Used by both the download manager (at download time) and the download
routing HTTP endpoint (when the user picks a location in the UI), so the
two can never disagree.
"""
from __future__ import annotations
import logging
from typing import Iterable, Optional
from ..utils.constants import (
CHECKPOINT_BASE_MODELS,
CIVITAI_FILE_TYPE_TO_OTHER_SUB_TYPE,
CIVITAI_TYPE_TO_OTHER_SUB_TYPE,
DIFFUSION_MODEL_BASE_MODELS,
)
logger = logging.getLogger(__name__)
# File types reported by the CivitAI API that indicate a raw diffusion
# model (loaded via UNETLoader in ComfyUI) rather than a full checkpoint.
DIFFUSION_FILE_TYPES = frozenset({"UNet", "Diffusion Model"})
# Allowed values for the "unknown_base_model_routing" setting / the
# unknown_base_model_default parameter below.
ROUTING_DIFFUSION_MODEL = "diffusion_model"
ROUTING_CHECKPOINT = "checkpoint"
def is_diffusion_model_download(
model_type: str,
file_types: Iterable[str] = (),
base_model: str = "",
unknown_base_model_default: str = ROUTING_DIFFUSION_MODEL,
) -> bool:
"""Return True when a download should be routed to the unet roots.
Only applies to downloads initiated from the checkpoint library.
Priority: (1) any file has type "UNet" or "Diffusion Model" (the more
direct signal from CivitAI), (2) baseModel is a known diffusion model,
(3) baseModel is a known full checkpoint -> not diffusion, (4) unknown
or empty baseModel -> the ``unknown_base_model_default`` setting, which
defaults to diffusion because the set of true checkpoint families is
closed while new DiT base models appear all the time.
"""
if model_type != "checkpoint":
return False
for file_type in file_types:
if file_type in DIFFUSION_FILE_TYPES:
logger.info(
"File type '%s' detected, routing checkpoint to unet folder",
file_type,
)
return True
if base_model in DIFFUSION_MODEL_BASE_MODELS:
logger.info(
"baseModel '%s' is a known diffusion model, routing to unet folder",
base_model,
)
return True
if base_model in CHECKPOINT_BASE_MODELS:
return False
is_diffusion = unknown_base_model_default != ROUTING_CHECKPOINT
logger.info(
"baseModel '%s' is unknown, routing to %s folder (unknown_base_model_routing)",
base_model,
"unet" if is_diffusion else "checkpoint",
)
return is_diffusion
def resolve_other_download_sub_type(
civitai_model_type: str,
file_types: Iterable[str] = (),
selected_file_type: Optional[str] = None,
) -> Optional[str]:
"""Resolve the "other"-page sub_type for a download.
Fixed priority (locked design, docs/plans/other-models-page.md §9.2):
1. Explicit user file pick — when the picked file's type maps, it wins
even when model.type maps to something else.
2. model.type via CIVITAI_TYPE_TO_OTHER_SUB_TYPE.
3. file.type fallback — only when model.type maps to nothing. Must NOT
override a mapped model.type: checkpoint models routinely bundle
VAE/Text Encoder component files.
4. Still undecidable -> None (caller must ask the user for a folder).
"""
if selected_file_type:
mapped = CIVITAI_FILE_TYPE_TO_OTHER_SUB_TYPE.get(selected_file_type)
if mapped:
logger.info(
"Explicit file pick type '%s' routes other download to '%s'",
selected_file_type,
mapped,
)
return mapped
normalized_model_type = (civitai_model_type or "").strip().lower()
mapped = CIVITAI_TYPE_TO_OTHER_SUB_TYPE.get(normalized_model_type)
if mapped:
return mapped
for file_type in file_types:
mapped = CIVITAI_FILE_TYPE_TO_OTHER_SUB_TYPE.get(file_type)
if mapped:
logger.info(
"model.type '%s' unmapped; file type '%s' routes other download to '%s'",
civitai_model_type,
file_type,
mapped,
)
return mapped
return None