diffusers pipeline downloads build subfolder config.json allow-patterns
with os.path.join, and huggingface_hub>=1.22 matches patterns with
fnmatchcase which does not normalize path separators
(huggingface/huggingface_hub#4435). On windows the resulting backslash
patterns match nothing, so per-component config.json files are never
downloaded and the incomplete snapshot still passes the diffusers
cache-completeness check, failing every subsequent load with
"no file named config.json".
Prefetch component configs with forward-slash patterns before pipeline
load. This covers all model families and also repairs snapshots already
broken by the bug on the next load attempt. No-op on linux, in offline
mode, and for local folder or single-file models.
Removing all loras never called set_adapters, so peft adapters stayed
active until model reload. Removal now uses disable_lora, which keeps
modules intact; unload_lora_weights would detach balanced offload hooks.
Load calls enable_lora after set_adapters since peft set_adapter does
not clear the disabled flag. Removal of fused diffusers loras remains
unhandled.
NetworkModule.multiplier matched text encoders via 'transformer' in the
key prefix, which fits dit keys but never lora_te keys, so text encoder
modules followed unet_multiplier[0] and the te= tag strength was ignored.
Network activation ran after prompt encoding, so text encoder lora
weights never affected embeds on the first generation and the stale
result was then served from the embed cache. The trailing unfiltered
activate in network_load also overrode the te exclude filter, so the
lora_apply_te setting was never honored.
- parse and activate networks in process_base before pipeline args are built
- activate_filtered gates text encoder components on per-request or global
lora_apply_te; used by base, hires, detailer and faceid call sites
- network_load accepts activate=False for callers that run their own
deactivate/activate sequence with include/exclude
- network_activate walks excluded components in restore-only mode so a
filtered text encoder reverts to backup instead of keeping stale deltas
- loaded_loras cache is single-entry since per-filter entries go stale when
the setting toggles
- prompt embed cache key includes the effective lora_apply_te value
transformers >=5.6 removed the text_model wrapper from CLIPTextModel, so
kohya te keys no longer matched the network layer mapping and text encoder
weights were silently skipped. KeyConvert retries te keys with the
text_model segment dropped; lora extraction keeps writing canonical kohya
naming for flattened encoders.
When a checkpoint change switches the model type, a custom sd_text_encoder no
longer fits, so reset it to Default and clear loaded_te, mirroring the sd_unet
reset. The type is resolved with detect_pipeline on both the loaded and incoming
checkpoints, so same-arch switches (Krea2 Base and Turbo share one pipeline
class) do not reset. The checkpoint handler also returns sd_text_encoder
alongside sd_unet so the dropdown reflects it.
reload_text_encoder only hot-swapped T5-family encoders and ran only at initial
load, so changing sd_text_encoder for a model with a generic encoder (Krea2's
Qwen3-VL) never took effect until a full model reload. Track the loaded
selection and, for encoders with no in-place swap, reload the model on change,
triggered from the settings handler. The fresh model object also invalidates
the prompt cache.
strptime was handed the stat datetime instead of the date string, so it
always failed and left a raw string mtime; the Date sort then crashed on
mixed str/datetime items. Parse the date string, falling back to stat mtime.
CivitAI has no model type for a standalone transformer, so DiT finetunes
are published as 'Checkpoint' like full models and all landed in
Stable-diffusion, where the single-file transformer loader never looks.
Route Checkpoint downloads to UNET unless the base model is a known full
checkpoint (SD1.x/2.x, SDXL and its Pony/Illustrious/NoobAI derivatives,
SVD, Kolors, Stable Cascade). Downloads with no base_model, or a
civitai_save_type_folders override, keep the previous behavior.
An absolute 1024-byte floor rejected valid complete downloads, since
some safetensors are legitimately tiny (a lone projector-diff tensor is
~160 bytes). Verify completeness against the declared Content-Length
instead, accepting any size, and keep the floor only as a fallback when
it is missing. Reject text/* responses up front so an HTML error or
login page served with HTTP 200 is never saved as a model file.
Disty0
Vladimir Mandic
CalamitousFelicitousness
0xDELUXA