load_checkpoint returns a 4-tuple (MODEL, CLIP, VAE, model_name) since the
random loader exposes the selected model name; the annotation still claimed
a 3-tuple.
Add dedicated Random Checkpoint/Unet Loader (LoraManager) nodes that pick a random model from the indexed pool on every run, optionally filtered by base_model, and expose the selected model name via a STRING output.
The sampler field now accepts either a manual string or a SAMPLER
connection. When wired, the sampler name is extracted from the
KSAMPLER object's sampler_function __name__ (sample_euler -> euler),
with special-casing for dpm_fast/dpm_adaptive local closures and
uni_pc/uni_pc_bh2 function names.
- sampler input declared as "STRING,SAMPLER" with widgetType STRING,
mirroring the existing model field union pattern
- shared collect_overwrite_params() handles the non-str branch so the
node and the metadata extractor conversion logic stay in sync;
unrecognized sampler functions are logged and skipped
- note: ddim is constructed by ComfyUI as euler with random inpaint,
so the ddim name is unrecoverable and extracts as euler
Downloads failed with "No suitable file found in metadata" for models whose
only file uses newer CivitAI file types (e.g. 'Enhancement LoRA' for
Anima/AIR image-editing LoRAs) because the primary-file allowlist only
covered legacy types.
- unify the weights-type allowlist as MODEL_WEIGHT_FILE_TYPES
(py/utils/constants.py) and apply it across download, recipe and
metadata-refresh lookups
- mirror CivitAI's getPrimaryFile() semantics: prefer weights-type primary,
fall back to weights files, then trust CivitAI's primary flag (excluding
non-downloadable artifacts like Config/Archive/Workflow)
- mirror the allowlist in the frontend via shared isModelWeightFile() helper
- add regression tests for the Enhancement LoRA primary-file download,
primary-flag fallback and weights-over-non-weights-primary preference
Version-tab updates reused the current version's folder, so updating a LoRA
to a version with a different base model (e.g. Illustrious -> Anima) ignored
the download path template and landed in the old version's directory.
When the target version's base model differs from the current local version
and a path template is configured, re-resolve the template under the same
model root. The backend keeps an explicitly provided root when
use_save_dir_as_root is set, so regular downloads still use the default root.
CLIP Text Encode and friends whose text widget is backed by a connected
input cannot have their text changed via the widget (execution reads the
linked input), so sending to them was a silent no-op.
- Registry: compute text_widget_connected capability from the widget's
backing input link state; has_text_widget drops to false when wired;
include the flag in the registration fingerprint so link changes
re-register the affected nodes
- Registry: hook link connect/disconnect (graph events on new litegraph,
onAfterChange fallback for classic) on root and subgraphs, plus
subgraph-created for future subgraphs
- applyWidgetUpdate: skip inject_text when the target widget is connected
and self-heal the registry instead of writing a value that is ignored
- Web UI: drop text_widget_connected nodes from prompt/embedding send
candidates; show a Mark as -> Send Prompt Target hint toast when no
candidates remain (new uiHelpers.workflow.noPromptTargets key, synced
to all locales; zh-CN/zh-TW translated)
- Extract shared resolveTextWidget() used by both the candidate-set
logic and the write path so the two cannot drift apart
- Tests: workflow registry connection-state registration, subgraph
handling, fingerprint re-registration, inject_text write/skip paths,
setup link-change hooks; uiHelpers candidate filtering and hint toast
Move the recipe delete modal's undo warning into modals.deleteRecipe.
recoverableWarning instead of hardcoded English; sync placeholders into
all 9 non-English locales
- Remove delete_undo_enabled setting (backend default, frontend state,
settings modal UI, 10 locales); staged deletes with 30s undo are now
the only delete path and stale settings keys are silently ignored
- Remove the 1500ms delete-button arm delay (armDeleteButton) from all
delete modals; misclicks are recoverable via the undo toast
- Delete modal always shows the recoverable warning
- Log the first staged file path in staging log lines for easier support
Refresh after manual .metadata.json deletion rebuilds the payload without
file_name/size/modified, which are required by BaseModelMetadata.from_dict.
The recreated sidecar then fails to parse and the scanner skips the model.
- load_metadata_payload fills missing file facts from os.stat
- hydrate_model_data restores every missing key from the cache snapshot
only when the sidecar is missing entirely (disk stays authoritative
otherwise), preferring the cached import timestamp for modified
- save_metadata fills file facts on write so no write path can produce
an unparseable sidecar
Promote aria2 stderr lines that indicate disk write failures (e.g. the
'cause: No space left on device' line following 'Write disk cache flush
failure') from DEBUG to INFO so the root cause is visible in default logs,
including Windows-specific phrases (file locked by another process, sharing
violation). The same line is rate-limited to one INFO report per 60s window
and the report map is pruned on insert so repeated failures cannot spam the
log or grow memory. All other stderr output stays at DEBUG.
Fix ~790 basedpyright errors across the test suite:
- Type stub subclasses of real production classes with super().__init__()
- Add missing generic type arguments and Dict[str, Any] annotations
- Add None guards before subscript/member access
- Adapt tests to production API changes (removed dead handlers,
PersistentModelCache.get_default, _i18n_filter_added location)
Will Miao