Files
DemonGatanjieu-Anomalous_Mo…/api/example_workflows.py
T
DemonGatanjieuandClaude Opus 5.5 2b6b6d88eb Enlarge a blurred background as it is and redraw only the character
New way upscale_character (use "upscale", want "character"): an upscale model enlarges the whole picture 1.5x and
leaves the background alone; the character is cut out (refine_character's mask), only its crop (InpaintCrop, 20%
more around it, not resized) is redrawn with its own copy of the canvas's model, on Anima held by the optional
Tile at 0.7, and stitched back. In a comparison a whole Tile redraw drew the far tracks and trees sharp and lost
the depth; this kept the blur, and the crop took 153 s where the whole enlarged picture took 270 s.

The official example "Two passes" gains the version "Anima · blurred background, only the character redrawn"
(made by ComfyUI's own page, files blank, Anomalous's fingerprints left out). An example's packs are now looked
for among ComfyUI's nodes: only loaders were, so a pack of another node was always said to be missing. The
staged-picture skill gains the by-part way, as agreed with the user.

Anima's Tile LLLite fits the 2B Anima models only: on Harem 2.9B the run stops with "depth_embed slices
missing" (84 modules in the file, 120 in the model). The ways and the two Tile examples say so and what to do.
Both the way and the example ran through the real page on the test ComfyUI (Harem 1.5): 223 s for a whole run.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-11-10 03:24:03 +08:00

148 lines
7.0 KiB
Python

"""The example workflows Anomalous ships (api/examples/<id>.json), because a new install has no cards of
its own: plans (title), each in a version per model family (version) with a note (about). Most use only
ComfyUI's own nodes; a version may need a pack (packs) or a model, and says so. The Workflows page shows
them as one card (web/modules/ui_recipe_examples.js); list_workflows gives those that can run here to an
AI when no saved workflow fits, which opens and runs them like saved ones (file name "example:<id>").
A file names no model and no picture: read() fills in ones that are here. Read only."""
import asyncio
import json
import os
import folder_paths
from aiohttp import web
from . import workflow_route
FOLDER = os.path.join(os.path.dirname(__file__), "examples")
PREFIX = "example:"
ORDER = ("text_to_picture", "two_pass", "two_pass_anima", "two_pass_anima_tile", "two_pass_anima_character", "picture_to_picture", "repaint")
LOADERS = ("CheckpointLoaderSimple", "UNETLoader", "CLIPLoader", "VAELoader", "AnimaLLLiteApply_sdscripts")
FAMILIES = {"sd": ("SDXL", "SD 1.x"), "anima": ("anima",)} # what the examples' settings suit
FOR_MODELS = {"sd": "SDXL, SD 1.5", "anima": "Anima"}
LOOK_AT = 40 # files looked at for a model of a family
MAX_WITH_SETTINGS = 3 # saved workflows listed in full for an AI: an AI app files a long answer away, unread
SHORT_NOTES = 120 # characters of a card's notes in a longer list
PICTURES = (".png", ".jpg", ".jpeg", ".webp")
def _load():
examples = {}
for key in ORDER:
with open(os.path.join(FOLDER, f"{key}.json"), encoding="utf-8") as file:
examples[key] = json.load(file)
return examples
EXAMPLES = _load()
def _here():
"""The loaders' drop-downs, in the form reference_blocks reads /object_info, and the nodes of the packs the
examples need (whether they are here); a node type not here is left out."""
import nodes
kinds = set(LOADERS) | {kind for example in EXAMPLES.values() for kind in example.get("packs") or {}}
return {kind: {"input": nodes.NODE_CLASS_MAPPINGS[kind].INPUT_TYPES()} for kind in kinds if kind in nodes.NODE_CLASS_MAPPINGS}
def _model(info, kind, field, family):
"""The first file loader `kind` offers of `family` (those named for it looked at first), or ""."""
from . import model_advice, reference_blocks
names = sorted(reference_blocks._choices(info, kind, field), key=lambda name: family not in name.lower())
return next((name for name in names[:LOOK_AT] if model_advice.family(model_advice._main_base(name)) in FAMILIES[family]), "")
def _picture():
"""A picture in ComfyUI's input folder, its own example if that is there, else ""."""
try:
names = sorted(name for name in os.listdir(folder_paths.get_input_directory()) if name.lower().endswith(PICTURES))
except OSError:
return ""
return "example.png" if "example.png" in names else names[0] if names else ""
def _fills(info):
"""{node type: the file it takes here} for the examples' loaders, "" for what is not here."""
from . import reference_blocks
checkpoints = reference_blocks._choices(info, "CheckpointLoaderSimple", "ckpt_name")
fills = {"CheckpointLoaderSimple": _model(info, "CheckpointLoaderSimple", "ckpt_name", "sd") or next(iter(checkpoints), ""),
"UNETLoader": _model(info, "UNETLoader", "unet_name", "anima"), "LoadImage": _picture()}
for kind, field, marks in reference_blocks.BLOCKS["picture"]["variants"]["anima"]["files"].values():
fills[kind] = reference_blocks._file_like(info, kind, field, marks) or ""
try:
fills["AnimaLLLiteApply_sdscripts"] = reference_blocks._lllite(info, "tile")
except reference_blocks.MissingModel:
fills["AnimaLLLiteApply_sdscripts"] = ""
return fills
def _lacks(example, info, fills):
"""What `example` needs and this ComfyUI lacks: [{pack}] or [{model: the loader's type}]."""
packs = [{"pack": pack} for kind, pack in (example.get("packs") or {}).items() if kind not in info]
kinds = {node["type"] for node in example["workflow"]["nodes"]}
return packs + [{"model": kind} for kind in LOADERS if kind in kinds and kind in info and not fills.get(kind)]
def read(example_id):
"""Example `example_id` on files that are here (those missing stay blank), or None when there is no such example."""
example = EXAMPLES.get(example_id)
if not example:
return None
fills = _fills(_here())
workflow = json.loads(json.dumps(example["workflow"]))
for node in workflow["nodes"]:
if node["type"] in fills:
node["widgets_values"][0] = fills[node["type"]]
return {"name": example["name"], "workflow": workflow}
def listing():
"""What the page's window shows of each example, and what it lacks here."""
info = _here()
fills = _fills(info)
return [{"id": key, "title": item["title"], "version": item["version"], "about": item["about"], "recommended": bool(item.get("recommended")),
"lacks": _lacks(item, info, fills)} for key, item in EXAMPLES.items()]
def for_ai():
"""The examples that can run here, as list_workflows gives saved workflows."""
info = _here()
fills = _fills(info)
return [{"name": item["name"], "title": item["title"]["zh"], "example": True, "for_models": FOR_MODELS[item["family"]],
"route": workflow_route.line(item["workflow"]), "notes": item["ai"]}
for item in EXAMPLES.values() if not _lacks(item, info, fills)]
def _short(card):
"""A saved workflow in a longer list: what tells it apart."""
shown = {key: value for key, value in card.items() if value and key not in ("settings", "saved")}
return {**shown, "notes": shown["notes"][:SHORT_NOTES]} if "notes" in shown else shown
def answer(found, fits, limit):
"""What list_workflows gives: the saved workflows `found`, cut short when they are many, or else the examples
that `fits`. The other examples go by name, so an AI with no card for the job knows of them."""
examples = for_ai()
fitting = [] if found else [item for item in examples if fits(item)]
if len(found) > MAX_WITH_SETTINGS:
found = [_short(card) for card in found]
listed = found or fitting
others = [item["name"] for item in examples if item not in fitting]
return {"total_matches": len(listed), "workflows": listed[:limit], **({"examples": others} if others else {})}
def file_of(name):
"""The file name open_workflow and run_workflow take for the example called `name`, or None."""
return next((PREFIX + key for key, item in EXAMPLES.items() if item["name"] == name), None)
async def api_examples(request):
"""GET /anomalous/example_workflows: the list; ?id=<id>: one, in `data` as /anomalous/recipe_full gives a card."""
if "id" not in request.query:
return web.json_response({"examples": await asyncio.to_thread(listing)})
data = await asyncio.to_thread(read, request.query["id"])
return web.json_response({"data": data}) if data else web.json_response({"error": "not_found"}, status=404)