- Add module_skip_keys entry for HiDreamO1Qwen3VLTransformer so SDNQ
leaves embedding/output layers (lm_head, embed_tokens, x_embedder,
t_embedder1, final_layer2, patch_embed, pos_embed) at full precision.
- Flip allow_quant to True in load_hidream_o1 and surface the resolved
quant type in the load log.
Rename `autocomplete_replace_underscores` to `autocomplete_keep_underscores`
(default false) so both autocomplete toggles read as "keep" semantics.
`insertTag` now honors the setting for both tag and artist modes, matching
the dropdown display. Embedding insertion always preserves underscores
because the names are filesystem identifiers.
- ui_definitions: rename option, flip default, update label
- scripts/autocomplete: rename handler, checkbox, and config-bridge keys
- javascript/autocomplete: invert render polarity; insertTag takes a `kind`
parameter; drop the artist-mode hardcoded underscore replacement so the
setting controls tags and artists uniformly
Closes#4827
Move the family-iteration loop into pipelines/flux/flux2_lora.try_load
so the f2 branch in lora_load.load_safetensors becomes a one-line call.
Per-family try_load_* entry points stay public for direct testing.
Addresses review feedback on PR #4841.
Gate finds the on-disk preview via resolve_preview_file and a
non-empty UserComment check so previews lacking embedded params enter
the worker. embed_preview_parameters writes via temp + os.replace,
converts RGBA to RGB before JPEG save, removes unreadable sources, and
invalidates any co-located .thumb.jpg. get_exif decodes EXIF
UserComment so regenerated thumbs propagate the source's params. For
.mp4 and .webm previews, embed targets the .thumb.jpg frame extracted
by save_video_frame instead of the unembeddable video file.
backfill_preview_parameters and resolve_preview_file share
find_ui_preview_file, which mirrors find_preview's iteration order so
backfill embeds into the file the modernUI actually surfaces (handles
LoRAs with multiple coexisting variants like .jpg + .jpeg).
civitai_meta_to_parameters drops generator-specific noise keys (comfy,
comfyui, workflow, extraMetadata) and applies a 512-char cap on
pass-through values to keep the embedded chunk compact.
When download_civit_preview short-circuits at 304 (file exists), the
rescan path now falls back to backfill_preview_parameters: checks
whether the file already carries an embedded parameters chunk and, if
not, embeds img.meta in place. Existing libraries get retroactive
metadata via the existing "Search metadata" rescan, no model
re-download required.
Civitai's CDN strips PNG tEXt/EXIF chunks during delivery, leaving the
modernUI Preview metadata tab empty for downloaded networks. Format the
version API's images[].meta into sdnext's standard parameters channel
(PNG tEXt / JPEG-WEBP EXIF UserComment) so read_info_from_image picks
it up through the existing path. Embedding is wrapped in try/except
and never blocks the download.
get_method now returns (method, reason). The reason distinguishes
user opt-in (lora_force_diffusers), class-forced, hash-forced, and
arch-unsupported routes from the default native path; surfaced in
the info-level "Network load: type=LoRA load=<method>(<reason>)"
line so users can tell why a given load took a particular path.
Discriminated from OFT by 4-D oft_blocks shape (boft_m, block_num,
block_size, block_size), mirroring LyCORIS algo_check. The cascade
of log_2(block_num)+1 Cayley rotations is applied via the
unflatten/transpose/flatten reshape sequence in NetworkModuleBOFT,
porting LyCORIS make_weight verbatim.
Adds 'f2' to allow_native and dispatches all eight native loaders
through load_safetensors. lora_force_diffusers continues to route
through lora_diffusers.load_diffusers as the explicit PEFT escape
hatch.
Slices w1a/w2a at the assigned chunk's row range and computes the
partial Hadamard product, mirroring NetworkModuleLokrChunk. Used
when LoHA targets a fused weight (e.g. img_attn.qkv) on models
that expose split Q/K/V modules.
Without self.dim, NetworkModule.calc_scale returns 1.0 even when
alpha is present, silently dropping the trained scaling. Use
w1b.shape[0] as the rank, matching the network_lora and
network_hada conventions.
Vladimir Mandic
Disty0
awsr
CalamitousFelicitousness