ComfyUI listening on its LAN address only (#26): the browser on the same computer
comes from that very address, so it was taken for another device. A request whose
peer is the server's own end of the connection, naming that same IP, is local now;
DNS rebinding and proxy headers are still refused.
Opened from another device (#25), the settings page said the proxy's format was
wrong and that Civitai could not be reached, when the server had refused the
request. It now says so, and refusals point to the View only chip.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
- run_workflow takes a gallery picture as its workflow (mcp_fill.opening
says what a name opens, for open_workflow too); a picture's workflow
opens with an id of its own, and the tab's mark goes into the workflow
before it loads, so ComfyUI finishing the tab does not drop it.
- With ComfyUI open in two browser tabs a task's actions were split
between them (one opened the task's tab, the other could not find it):
the page that did the last action gets the next first now, another
only when it is gone (mcp_bridge.py, pages keep an id of their own).
- describe_canvas on a big canvas: titles off, then nodes as a line each
with their settings, so every value stays readable.
- search_models names the models that did not fit; begin_task's tool
directory goes by name alone when the answer would be too long.
- ask_user refuses a "test" question with made-up options too.
- Exam round recorded: question 2 with nothing filed away, a big canvas
read right in 3 calls, question 3 in 12 calls.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
- An answer past Antigravity's size is filed away unread (eight LoRA
searches in the exam): search_models answers small (loaders once,
four trigger words, a LoRA's author weight); describe_canvas gives a
big canvas's last nodes a line each; mcp_fit.py keeps any other list
answer within the size and names what it left out.
- An empty canvas: run_workflow, describe_canvas and get_situation say
to open a workflow first; get_image_info says a picture's workflow
opens with open_workflow.
- ask_user does not put a "test" question to the user; a task's picture
count counts what its runs made.
- AMB failed to load now and then: ComfyUI loads every file at once and
ui_ai_workbench.js set ui_ai_toolbox.js's sideHost before it was made
when the toolbox file ran first. Connected on first draw now;
tests/load_order.mjs runs every file first.
- input_facts moved to api/picture_mask.py to keep mcp_tools.py short.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
To change a picture from the gallery the AI had to open the saved card
and set back, one by one, the model, LoRA and prompt the picture had
been made with (8 to 12 calls in the exam). open_workflow now takes a
picture's name too when no saved workflow has it: the server checks
the picture is in the output folder and carries a workflow, and the
page reads it from the PNG and opens it in a new tab, without the
marks of the tab it ran on (the card that tab came from, which
run_workflow would mistake it for, and its group of saves). The tool
list is 18 characters shorter than before.
Retaken with Gemini 3.8 Flash, questions 3 and 4 only: question 3 on a
changed picture went from 28 calls (7 failed) to 21 (4), opening the
picture's own workflow; written into docs/architecture/tool-exam.md.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Gemini 3.8 Flash took all 8 standard questions the 1.63 way (the
question in the task's message, the new task page's sentence to the
AI, a blank canvas each): 128 calls, 16% failed (21% last time), no
detours. Written into docs/architecture/tool-exam.md.
- A task's picture count counted a picture twice when the AI's report
showed the one its run had made; pictures are counted once each now.
- After a switch of language the AI workbench kept rows drawn in the
old one until a reload: syncRows makes a row again when the language
it was drawn in is not the one shown.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
A run with Gemini 3.8 Flash asked for picture to picture and built it node by node, 13 failed calls on the way, with an official example ready:
- list_workflows was 23,630 characters on 17 cards, 21,033 of them settings. Antigravity files an answer over about 4,000 away, unread. A list of more than 3 now goes with name, route, tags and short notes.
- Examples showed only when no saved workflow matched, and only by English words: 图生图 found nothing. They are always named now, and found by their Chinese titles, img2img, txt2img and inpaint.
- Every card's route line was empty, and cards_of found nothing, since c84b596: _list_recipes leaves the graph out, and the tests fed cards that had one. Both ask for it now, with a test on a file on disk.
A waiting task the user wrote to also takes its name from what they wrote, instead of the AI's "take the task".
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Anima's VAE takes a batch of pictures for video frames, so a batch of 2 is one picture after the VAE encode of the second pass. The two examples keep their tested route and say to run several times instead, to the user and to the AI.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Current node showed "negative prompt" only on values from a workflow. A material's blocks carried no role, and when a picture and a workflow held the same text the merged card kept the picture's empty one, so a negative prompt could be offered to a positive box with nothing to say so.
- api/materials.py works the role out by what the prompt was wired to, as the material details already do; it reads the stored workflow, so pictures kept earlier get it too.
- node_parameter_sets.js takes the role from whichever source knows it.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Going back to a save left the last run's picture on the output node, so the canvas and the picture told different stories.
- api/workflow_saves.py keeps what each output node made, previews too, the newest 16, and read_group gives them as `outputs`.
- ui_snapshot_bar.js puts them on the nodes through the tab's changeTracker (store, restore): no `executed` event, so no plugin takes them for a new run. Several runs sit on the node as a batch does. A node the save has no picture for goes empty; Load Image's own picture stays (snapshot_plan.outputsAt).
The lit number went out every other time with a Preview Image on the canvas, and an empty undo step came with it: a loaded workflow serializes a little differently from its file, and a node gains an empty widget list when it shows a picture. The number now goes out only when the canvas really changed (withoutEmptyValues), and those differences take no step.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Current node now reads what combos hold for the node's type: every box of
a node structure, by name, and a plain combo's prompt on a prompt box. They
get a chip of their own, a press goes to the combo, and the values go in
only on the user's press, as with the other sets (AD-021).
The rail's tools go by how often they are used: Current node, Model Check,
then the scan, and the tour follows.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Types go by their usual names, base model chips narrow the list, the
version stands apart from the name, and a model's versions are one card
whose version opens the list to show another; a pick goes with it. The
grouping, the families and the type names are the Models page's own.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Anima loads through other nodes than a checkpoint, so none of the examples
could open on it. Two passes now comes in three versions: SDXL / SD 1.5,
Anima on ComfyUI's own nodes, and the recommended Anima held by Tile, the
way's tested values, kept in step by a test. The own-nodes version redraws
at 0.35: at 0.5 the shapes began to move with nothing holding them.
The window shows plans, versions and notes. A version that lacks a pack
or a model says what and has no Open button; an AI only gets those that
can run here. The layers of cards, examples, ways and skills are written
down as AD-025.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Ways: "Use it this time" in the Ways view, for one task. It joins the
task's picks as a new kind, the AI is told, and add_nodes builds that way
for its use whichever one the AI asks for. "Only" lets in the nodes a
picked way builds.
Examples: text to picture, two passes, picture to picture and repainting
an area, on ComfyUI's own nodes. One card, first on the Workflows page,
opens them in a tab of their own. The files name no model or picture; a
checkpoint and a picture that are here are filled in when one is read.
list_workflows gives them to an AI when no saved workflow fits, and they
open and run by name like saved ones.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Follow-ups hang one step in under the first task of their line, so the
list shows what goes on from what; a filter's tasks still show alone. Each
row has the head's menu, without opening the task. Removing a task joins
those after it to the one before. The pick list now stands over everything
at the place the menu opened: the head is drawn anew under an open menu.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
A walk through the whole flow, as a user would, showed what felt wrong.
The folded bar floated over the canvas: it is now a handle on the canvas's
bottom edge. The bar lives in the canvas's panel, so the logs stay uncovered
and it wraps before going under ComfyUI's canvas tools; it holds the newest
six saves, the rest behind a button to the Saves page, instead of growing
into a block. A lit number now means the canvas stands at that save, going
dark on any change or undo. Words float over the bar and leave with the runs,
and on the page a kept card is a toast and runs show on their own save, so no
button moves under the pointer. Removing a save tells the next one what it
changes now, and the Saves view says the way back to the cards.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Presets, combos and Add to saves took more to keep sensible than they gave,
so a save now only becomes a new workflow card and only the canvas makes one.
The panel above the bar moves to the Saves page, a part for each canvas, open
or not, with each save's pictures and its runs: the whole group in order, or
one save alone. Running moves to snapshot_run.js for the bar and the page;
what is clicked goes in in click order, and closed canvases run too.
A run taken off ComfyUI's queue is now forgotten at once, so "runs to go" does
not stay wrong for a day. A first save on an unsaved tab now reaches ComfyUI's
draft of it, so a reload right after keeps the tab's saves on it.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
A save copies to a workflow card, a preset of a card with the same structure, or a
combo; a card's preset can join the open canvas's saves. The Workflows page lists
every group, so saves of a closed tab or a deleted file can be opened again, on a
new tab where the group goes on, or removed. A card keeps no key of a canvas's saves.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Saves move from the page to a store (api/workflow_saves.py), a group for each
canvas, found by a key in the workflow's extra or by its file, and go into
backups. The bar follows the open tab. A save's runs are named to the server, which
finds their pictures in ComfyUI's history, so a reload during a run loses nothing.
A save opens above the bar with what it made and what changed; removing one goes to
the Recycle Bin, and a group past its most takes no more and drops nothing.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
A Flash exam showed a light model can build a route it is told, so the reminder
no longer sends the user to a flagship model: the route is untried, see how the
run turns out, and save a card if it is good.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Three exams with Gemini 3.8 Flash on an isolated ComfyUI all went the right
way. They showed that a base kept by Anomalous was reported as a file changed
outside it, and that the one-pass route still told the AI to show bases
first. begin_task's words are shorter: with a real node list it went past
its 4000 characters.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
A node's "Mark this state" keeps the serialized canvas as a mark in a bar
under it. A mark's number goes back to that state, each has its runs, and
seeds are Random or Locked (one per round, shared by the marks; a fixed
seed alone would come from ComfyUI's cache). Run checks every mark with
validate_prompt first, then compiles detached copies with their seeds
written, so the canvas and its seeds stay as they are.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
With two main models picked, ask_user(routes=true) shows the routes this
ComfyUI can build for them, each with what it does to the picture and a
sample, a saved card using both first; the answer says what to call, and
add_nodes(route=...) builds the route from the ways on a new tab, the LoRAs
on each model. get_toolbox lists each model's cards as its examples. A way
counts as ready when a family variant has what it needs. An AI placing
nodes itself is a new route: one reminder a task, or with the new gate the
user's OK.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
add_nodes(use="picture") builds a text-to-image graph on the model the
user picked for the task, or add_nodes(model=...): one checkpoint for SDXL
and its kin; for Anima the UNET with its text encoder and VAE, found in
the model folders ("files"), and the tested base-pass sampling. A
standalone block is built only on a canvas making no picture yet.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Upscale held by Tile takes in the tile upscale, the Anima Tile detail
upscale and the second-model upscale: its redraw has its own copy of the
canvas's model line (copy_of "$sampler.model": loader and LoRAs, titled
"Upscale model"), so a second model is one set_model and the LoRAs stay;
on Anima it is the user's tested route (latent 1.22x, Tile LLLite,
denoise 0.85). The iterative upscale goes. add_nodes no longer lists every
block name, and the repaint hints name the use, not a block.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
list_workflows gives each card a route read from its saved graph: its
passes in run order, the model each draws with, a split's steps, an
enlargement, control models such as a Tile LLLite and what comes after.
A Flash run picked a one-pass card for a two-model job; it saw names only.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
run_workflow(base_only) queues the first pass alone (base_only.js cuts each
queued prompt; save nodes become previews, the canvas stays). When it ends,
ai_bases.py shows the previews on a picks panel; the picked one is copied
into the output folder and its seed held. The next run takes the kept
picture where the rest takes the base's picture, so the base is not drawn
again; a base handed on as a latent (mid-way switch) is drawn again from
its seed and compared with the kept one. Drawn again from the same seed, a
base once came out grainy on a 6 GB card, hence the kept picture.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
The hand fix's "3 tries in 4" holds for the pictures tried, not for crowds or hard poses;
its checks now compare with the enlarged redraw and look for seams, missed hands and good
hands made worse. Enlarging at the mid-way switch asks the user first when the workflow
already enlarges the picture downstream. Both ways record GPT's runs.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
The hand-fix way now redraws each hand SAM3 finds by the word ("hand:8": the word alone
takes only the likeliest hand) inside its own outline before the hand detector's pass, as
the reference author does. The pass is optional: its nodes go when SAM3's node or model
(sam3.1, now in the ways' model list) is missing, with the nodes that only fed them.
Switch models mid-way says how to enlarge at the switch: a LatentUpscaleBy after the first
part, which then finishes its picture, and the second part adding noise anew. Enlarging
the leftover noise itself (the author's wiring) covered the picture in coloured blocks on
Anima at step 21 and 12. The staged-picture skill says so in one sentence.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
From a picture check of the staged ways (another AI judged the pictures):
- The staged skill shows the base first so the user can pick it. With
the sampler's seed moving after each run, adding the second pass and
running again redrew a different base. The skill now says to hold the
base's seed (control_after_generate fixed) before that first run.
- Split er_sde came out grainy on two Anima models but cleanly on Nova
Anime XL (one seed each). The mid-way switch no longer says er_sde
never splits: it keeps dpmpp_2m_sde_gpu on Anima and calls it the
safe choice elsewhere. Its SDXL version ran for the first time (Nova
Anime XL to MiaoMiao Harem v2.0, step 18 of 30, 41 s on 6 GB) and is
recorded as tested.
No values changed. Full suite and structure check pass.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
3d720ef made mcp_fill.saved_workflow return the set too, and
run_workflow took it, but open_workflow still unpacked two values and
failed on every saved workflow ("too many values to unpack"). It now
passes the set on to the page like run_workflow, so "workflow / set"
opens with that set applied.
A test calls open_workflow with a workflow and with one of its sets; it
fails with the old line.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
The skill staged_picture says how, not values: different models for a
picture's early and late steps (refine midway); a locked redraw while
enlarging, which keeps the model or switches in that same redraw to a
second model of the same family (upscale detail, anima tile, steady),
with no extra refine pass after it; model after model (refine). It says
which switches need one family (any reusing the first stage's prompts and
VAE; the single-file refine with its own loader may cross families, its
prompts rewritten), and that a style LoRA the user picked goes onto the
second model when the look is to be kept. The user's saved cards and
combos come first; nothing the user did not pick is added.
Written to the user's handoff (.tmp, three points). Code checks only, as
asked: no picture was made.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
New way switch_midway (refine, want midway): the canvas's sampler becomes
two KSampler Advanced parts, the first on the canvas's model up to step
21, the second on a new loader from there, taking the old sampler's place
and links. On Anima it takes the tested sampling (35 steps,
dpmpp_2m_sde_gpu, beta): er_sde comes out grainy when split, even with
the same model in both parts, which the AI is told.
refine_other_model and upscale_two_models get Anima variants: a UNET
loader "like" the canvas's, reusing its text encoder, VAE and prompts; on
Anima the second-model upscale is the Tile route the user verified (1.22x
latent, LLLite 0.7, denoise 0.85, ColorMatch).
A node "like" or replacing a sampler now takes its seed as noise_seed on
KSampler Advanced and the other way round. The scene argument's
description is shorter to keep the tool list within its budget.
Ran on the isolated test ComfyUI on an Anima canvas: each way built
through add_nodes and made a picture (79 s, 148 s, 127 s on 6 GB).
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
A workflow card's saved parameter sets (方案) were the user's alone. Now
list_workflows lists each card's sets as "workflow / set" (those unlike
the card's own values, as the Workflows page lists them), and
run_workflow(workflow="workflow / set") opens the workflow and applies
the set with the page's own Apply code before filling in the blanks; the
tab is marked with the set too, so another set opens afresh. No new
argument: the tool list stays within its budget.
The Anima skill points at the sets: the daily run is the user's saved
workflow or one of its sets.
Checked on an isolated ComfyUI: a card built from the verified two-pass
Anima graph with its own values as the plain route and two sets (upscale
on another model, model switch mid-way); run_workflow on the second set
queued exactly its values and made pictures pixel-identical to that
route's verified ones. Full suite and structure check pass.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
A skill now says how to judge and names the parts; models and values
live in the way and in the user's own combos and workflows. The Anima
skill drops the tested models, LoRA and sampler numbers (the
upscale_anima_tile way keeps its second-pass values), says to use a
workflow or combo the user saved for this route as it is, and keeps the
findings as judgment: show the base first, what Tile does and does not
keep, and when changing models between passes is untried.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
AMB only uses: training goes to its own plugin. This takes back the
record of what works (api/ai_evidence.py), the training network and
rounds (api/ai_training.py, ui_ai_network*.js, the round form), the
Gates' record switch, the ways' order by record and the external_skill
field of log_outside that only fed the record.
Kept, as part of using AMB:
- the user's word under a finished run, now only told to the AI
(ai_run_control.set_verdict, ui_ai_verdict.js);
- the Gates' "Custom nodes: only the ways'" rule;
- a picks block left to the AI takes its recommended picture.
Reverts 73518dc, 67bf5b2, 6647b05 and 49d05cf, then puts those three
back with tests in test_ai_run_watch, test_ai_gates and test_ai_panels.
Full suite and structure check pass.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
The side switch's training network now opens over the whole AI
workbench: numbers on top, a filter by kind, a graph or a table with a
cell per pair, and a detail column listing each run of a pair (model,
AI app, judgement, pictures, task), a base model's models and the
training rounds. New GET /anomalous/ai_training/runs; the network data
adds each model's runs and the rounds.
Not yet verified in the browser: Esc after routing it through the
browser's back buttons. Full test run pending.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
The AI goes by the ready-made ways and skills alone by default; the Gates
window's "training network record" shows it the record, and a training
round the user starts always does. add_nodes still picks the way that did
best either way. The network view says whether the AI sees it now.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
The AI workbench's side column gets a training network view: base models
on the left, ways, skills and node packs on the right, a line for each
pair that ran, coloured by how it turned out (the user's word first, else
the AI's, dashed) and as thick as it ran often. A node or line shows its
record, last pictures and the pairs not tried yet in a card kept in sight.
"Start a training round" picks a skill (the AI's prompts with its advice
and without) or the ways of one use, up to four models and the pictures
each, and makes a task for the next AI (api/ai_training.py). Each run that
ends fills the trial it fits by what it used; the AI is told the next trial
and, once a model's trials are done, to compare them in a picks panel with
its own pick marked recommended. The record keeps the AI's pick apart from
the user's, and a picks block left to the AI takes its pick.
Tests: tests/test_ai_training.py; full suite and structure check pass.
Checked on an isolated ComfyUI: a round started from the view, four real
runs matched to their trials with the next one told each time, the
comparison panel and the user's pick reached the record and the graph.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Each run the AI starts now counts for the ways it still has, the skills
fetched before it and the custom node packs of its nodes, by the base
model of its main model (api/ai_evidence.py). How it went comes from what
the user does anyway: a picture picked in a picks panel or kept in the
gallery, one passed over, or their word under the run (Turned out well /
Not quite, told to the AI as their message).
begin_task and get_toolbox give the AI the record in a few words, add_nodes
a way's or the packs' own, and add_nodes(use=...) picks the use's way that
did best on the canvas's model. The Ways panel shows each way's and skill's
record by model. The Gates window gets "Custom nodes: Any / Only the ways'",
which keeps the AI to the ways' nodes and the task's picks.
Tests: tests/test_ai_evidence.py; full suite and structure check pass.
Checked on an isolated ComfyUI: a real run was recorded with its model and
skill, the verdict reached the AI, and the ways-only rule refused a custom node.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
ai_skills.get refuses a private-only skill in a task that is not private and every other
skill in a private one, so a private task's AI gets the privacy skill alone; get_toolbox
tells it by the task. The Ways panel lists the skills of the task's kind and is drawn
again when the task's lock is turned.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
ai_sealed keeps a private task's prompt text and picture file names behind tokens ([P1],
[img1], task["sealed"]): mcp_server puts the texts back into a call's arguments for the tool
only, and ai_privacy.guard has every result masked on its way out (a node's STRING inputs
by ComfyUI's node list, prompt fields, picture names, any sealed text, also in the text
content). The user's own canvas changes are told sealed. A "prompts" panel block is the
user's prompt box (ui_ai_prompt_box.js): prompts, a negative one and reference pictures from
the gallery or dropped in, answered only from Anomalous, the AI getting tokens; above it the
prompt_pose skill's words for the canvas's model. A new private-only skill, privacy, tells
the AI how to work, and begin_task points a private task at it. Tests plant canary prompts
and picture names in every tool's result and check none gets out.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Each task has a lock in its header (task["privacy"]); the Gates window sets the default for
new tasks, and turning the default off pins the tasks it covered. mcp_server hands every
tool result to ai_privacy.guard last, after run pictures and the user's messages were
added, so a private task's image content never leaves; a call tied to no task is private
while the default is on or a private task is unfinished. The card in the AI app shows no
pictures for it, begin_task tells the AI, and turning it on or off is a user step and a
decision. A test calls every tool with a picture in its result and checks none gets out.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Checked against the headers of 315 models in ComfyUI-Manager's list: a Hunyuan-DiT
checkpoint and LBM were read as VAEs, SUPIR as a ControlNet, XLabs' Flux LoRAs and
IP-Adapter as diffusion models, a whole CLIP as a text encoder only; also PhotoMaker, LoRAs
of weight differences or OFT, and checkpoints without a VAE. Files two loaders read from
different folders (SUPIR, a whole CLIP) are not sure. A lone drawing model in checkpoints
loads there (the checkpoint loader reads it as a diffusion model). Newly told: diffusers
UNets, Stable Cascade, SDXL T2I-Adapters, RCAN/SPAN/compact upscalers. 301 of 315 now agree.
"Looks like no drawing model" said what it could not tell: now "Kind not told". Kept header
answers carry the rules version and are read again when it changes.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
An Anima LLLite in controlnet is not misplaced while the ComfyUI-Anima-LLLite pack
(which reads it from there) is loaded, and identical copies kept one per loader folder
(controlnet and model_patches) are listed as shared, both in use, not as duplicates to
recycle. An IP-Adapter carrying LoRA layers (the Anima IP-Adapter) is no longer read as a
LoRA. The header cache keeps the new "form" field (older entries are read again).
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
prompts (1-8, instead of prompt; at most 16 tries with batch) fills and queues each prompt
in turn with the call's other blanks; the receipts form one run and by_prompt says which
are which. A prompt that cannot be filled or queued stops the rest, the queued ones stay
tracked and submission_error names where it stopped. The run_workflow description is
tightened so the tool list stays within its budget.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Each skill the AI fetches with get_toolbox(skill=...) is a "skill" step of its task
(ai_skills.note_use), with the form its advice came in for the canvas's model; the same
advice again before the next run adds nothing. A run's row lists the skills fetched since
the run before it (ai_task_view.skillsBefore). A skill step never names an untitled task.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
The prompt_pose skill now comes in the form for the model the canvas's sampler uses:
its drawing model's parameters are counted from the file's header (model_kind.
diffusion_params: safetensors shapes, GGUF tensor dims; a checkpoint's text encoders
and VAE left out), so a compressed GGUF counts like the full model. From 10 billion
(Flux.1, Flux.2, Qwen-Image) the AI is told hands and hard poses come out well and
not to hide or simplify; under it, the clear-pose and optional hand-hiding advice;
when the model cannot be told, both cases.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Files a scan found on the same Civitai model page (metadata model_id; never a similar
file name) share one card in the model list, the newest version shown or the one picked
last (kept in this browser). The card's version label opens the shared action menu to
switch. The details list the versions here under the name, and "All versions on Civitai"
(GET /anomalous/download/versions, this computer only, asked only when pressed) lists
the page's versions to open or download beside this one, checked by SHA-256, a taken
file name getting the version's name added.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
