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>
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>
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>
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>
1.5x left the Codex test picture's hand better but still soft; 2x gave
sharper fingers in the same seeds (about 105 s instead of 75 s on a 6 GB
card). The fix-hands way now enlarges to about 4.2 megapixels, never
smaller, at most 2x: reference_blocks.enlargement reads the picture's
size (add_nodes passes picture_size of its input copy). Tried through
AMB on an isolated ComfyUI: 2547x1656, no memory trouble, 2 clean hands
of 4.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
A block (detail, want hands) that takes a picture: enlarged 1.5x and
redrawn lightly by the canvas's sampler (denoise 0.4), then every hand
found by hand_yolov8 redrawn at guide 768, denoise 0.45 ("detailed
hand"), saved as hands_fixed. Tried on the Codex test picture on an RTX
4050: the hand pass alone fixed about half the seeds, enlarging first
about 3 in 4; the way built through AMB on an isolated ComfyUI gave 2-3
good hands of 4.
On an Anima model a variant adds the Anima Turbo LoRA (0.7) for 10 steps
at CFG 1, about 75 s; a variant's LoRA missing falls back to the plain
block with a word on what it would do. Its next step tells the AI to
make 4 tries, check the hands itself, retry at most twice, and let the
user pick in a zoomed panel. The Turbo LoRA joins the recommended models.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Codex's hand tests (2026-10-29): at denoise 0.55-0.75 the repainted hand
filled its whole mark and came out too big, at 0.4 it kept its size. The
crop-and-stitch block now repaints at 0.45 (the built-in one at 0.5), and
its next step and the inpaint note tell the AI to mark tightly, keep the
strength low, make 4 tries and let the user pick.
Slider and picks blocks take a zoom {x, y, w, h}: every picture shows
only that part, enlarged, from the picture itself. The checks of block
parts move to ai_panel_parts.py (ai_panels.py was at the 600-line line).
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
run_workflow's image filled a LoadImage with "name.png [output]"; once
ComfyUI's run history is gone, its newer frontend marks that value as a
missing file though LoadImage reads it (Codex found this on 2026-10-29).
An output picture is now copied into the input folder (content-named,
transparency kept) as the gallery's menu already does.
get_situation's canvas errors also carry what the page's missingMedia
store marks missing, so the AI sees the red error the user sees.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
The 18 blocks are grouped into 7 uses (a block's "job": repaint,
new_background, upscale, refine, follow, detail, process); a block that is
not its use's default has a "want" word (best, 2x, pose, ...).
add_nodes(use=…, want=…) has reference_blocks.pick choose the first by rank
this ComfyUI can run (packs and models present, not turned off), the block
taking a second picture when one is given; block= by name still works.
begin_task's directory is a line a use with its wants, the rest by what it
needs ("LanPaint: repaint best"), so it no longer grows with the blocks and
the word budget tiers are gone. Tried live: use=new_background with two
pictures built place_in_scene.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
begin_task's text was at its 4000-character limit with every new block. The
directory now shortens in steps: every word while it fits (625 characters),
then the blocks' names with the missing ones grouped by what they need
("LanPaint: inpaint_lanpaint"), then names alone. With every pack in, the
names (about 400) leave begin_task near 3850 even with the stale tool list
line.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
refine_other_model redraws the made picture at denoise 0.4 with a second
checkpoint of its own (any family: its own CLIP and VAE, prompts copied from
the first, LoRAs added onto it with add_lora) and saves it beside it
(prefix refined), as the reference workflow's refiner keeps a loader and
LoRA stack apart. Tried on an RTX 4050 6 GB, Illustrious then NoobAI at
832x1216: about 66 s for the whole run, the composition kept, the style the
second model's.
A block node may be "like" a path ("$sampler.positive"): it takes the
settings of the node feeding it.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
place_in_scene takes two pictures (add_nodes' new scene argument, $scene in
a block marked "scene"): the character is cut out (inspyrenet-rembg), the
place scaled and cropped to its size (GetImageSize, ImageScale), the
character pasted on (ImageCompositeMasked) and everything else redrawn at
denoise 0.5 with the edge grown 6 px, so shadow and ground meet it while
the place keeps its look. Tried on an RTX 4050 6 GB with SDXL (Illustrious)
832x1216: about 40 s.
The blocks' short words are shorter so begin_task stays under 4000
characters.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
change_scene cuts the character out of a handed picture (inspyrenet-rembg),
inverts it and redraws only the rest at denoise 1.0 from the prompt's new
scene; GrowMask lets 6 px of the edge be redrawn for the seam. Tried on an
RTX 4050 6 GB with SDXL (Illustrious) 832x1216: about 30 s, the character
kept, the forest replaced by a night street.
A picture handed to a block may be written "name.png [output]" as Load
Image shows it. Two block descriptions are shorter so begin_task stays
under 4000 characters.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
- api/block_models.json: the 15 models the ways recommend, each with its
Hugging Face / Civitai / GitHub links, size, SHA256 (all checked against the
sites), licence and folder. A block's "models" names its recommended ones; the
Ways panel ticks those here (by name, or by size for a renamed copy) and
downloads a missing one in a click with model_download.downloadFrom, its hash
checked.
- A block's "tested": the card (RTX 4050 laptop, 6 GB), sizes and a whole run's
time, shown in the panel and told to the AI with the block (answer.tested).
- color_lineart gets an Anima variant with Anima's lineart LLLite.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
- upscale_tile: the 1.25x upscale with a tile ControlNet holding the redraw
(the source's 0.6 to 80%), so it can redraw at 0.5; NoobAI's tile model for
NoobAI/Illustrious, the union one for SDXL, Anima's tile-repair LLLite on
Anima (slow on a 6 GB card, the AI is told to say so).
- color_lineart: a line drawing, inverted to white on black, steers a lineart
ControlNet; its lines are left as a preview.
- A union ControlNet gets SetUnionControlNetType for what it follows.
ControlNets not scanned yet take their base from their folder or name.
- MissingModel: a block's model not in ComfyUI's lists makes add_nodes read
them anew once (a model just downloaded into a subfolder), then try again.
- The upscales prefer the least enlarging model that reaches their size.
Live on the isolated 8199 ComfyUI: NoobAI tile upscale 77 s, Anima tile 710 s,
lineart colouring 34 s (the union model found after the lists were read anew).
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
A block's "variants" rebuild it for the canvas model's family
(reference_blocks.build, which also returns its roles and next step): on an
Anima model control_depth and control_pose patch the model with an Anima
ControlNet-LLLite instead of a ControlNet, and inpaint_crop_stitch adds Anima's
repaint LLLite on the crop; the AI still only names the block. Base packs are
checked before the page is asked which model the canvas has.
Live-tested on the isolated 8199 ComfyUI with an Anima model: repaint changed
the marked hand (43.9) and nothing outside (0.0); depth steers gently, so the
Anima next step says the prompt has to agree with the picture.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
- tags_from_picture: WD14 tagger (the source's model and thresholds) on a
picture the user handed; run_status now carries what nodes showed as words
(texts: a tagger's tags), with a summary and next step for a run that made
words but no pictures.
- Optional nodes: a block node marked optional goes when its pack is missing,
and a link "match|decode" takes the first one there. The four upscales end in
KJNodes' ColorMatch (mkl, the source's) when it is installed; the panel says
"better with" it otherwise.
- LanPaint's next step keeps the prompt about the whole picture; Follow a pose
says OpenPose misreads anime (use control_depth), as the source's author did.
- The directory has a size cap: past it, block names alone, so collected ways
never make begin_task long; shorter headings and few-word lines.
Live-tested on the isolated 8199 ComfyUI: LanPaint (area changed 14.6, outside
0.0, 82 s), tiled 2x (167 s), depth ControlNet (follows the layout), OpenPose
(misreads an anime picture), background removal (8 s), tags (166 s with the
model download), upscale with ColorMatch (73 s).
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Each block is now api/blocks/<name>.json (nodes, packs, models, the AI's words
and the panel's in both languages), so a way collected later is one more file.
The AI workbench's side column has a Ways view: blocks by job, what each does
and where it came from, greyed with the pack (opens ComfyUI-Manager) or model it
lacks, and a switch (user/anomalous/ai_blocks.json) that keeps it from the AI;
begin_task lists only the blocks on and runnable here, the rest in one line.
New blocks: upscale_iterative (Impact Pack), upscale_two_models ($loader role,
a second loader "like" it), remove_background (inspyrenet-rembg).
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
A block node can be "like" a role (takes its settings) or "replace" it (its
links, place and settings too; LanPaint's sampler for the KSampler). $save is
the output node the picture reaches, past a stitch. Upscale blocks take an
upscale model this ComfyUI has; control blocks a ControlNet whose base fits the
canvas's model, and the picture to follow copied into the input folder. The
directory is grouped by job, a few words a block, to keep begin_task short.
Drop-down choices are read in both forms of ComfyUI's node list.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
A Flash exam showed the crop-and-stitch repaint painting a whole new
person into the hand: the context margin was 1.2 where the distilled
workflow used 2.0, and the sampler kept denoise 1 and the whole
picture's prompt. A block can now set settings on the canvas nodes it
finds (roles: the sampler's denoise 0.75, in the same Ctrl+Z step),
and the block's answer and the repaint note tell the AI to set the
prompt to what belongs in the area. Retake: a natural hand.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
api/reference_blocks.py holds groups distilled from workflows that do
one job well: a repaint that crops around the mark, repaints at 1024
and stitches back (ComfyUI-Inpaint-CropAndStitch), the same with
built-in nodes only, and face and hand detailing (Impact Pack, the
detector models this ComfyUI has). begin_task hands the AI their
directory; add_nodes(block=...) builds one in one call. Its links name
roles web/modules/canvas_roles.js finds on the canvas by their sockets
(the sampler, its decode and save, what feeds an input upstream), so
canvas_wiring splices it into the workflow there; several samplers
need near_node_id, a missing pack names the pack and the stand-in.
The repaint note now points to the block. Checked on the test ComfyUI:
the repaint changed the marked area only, the detailer the face area.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
