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5 Commits
Author SHA1 Message Date
drbaph b35b5d8a17 fix: whisper transcription compatibility with newer transformers (#274)
- Use getattr for max_length to handle removed WhisperConfig attribute
- Cast input_features to model dtype to fix float16 mismatch
2026-07-04 21:40:35 +02:00
carlostsai 6d5fd74333 fix: typo on vitmatte torch script name (#276) 2026-06-27 21:15:11 +02:00
Anderson Yan b705a177d3 fix: add retry to LoadImageFromURL 2026-03-19 08:39:38 +01:00
Mel Massadian 00fbad37c5 docs: remove deprecation
Updated caution and note sections regarding recent changes and versioning.
2026-01-10 10:32:45 +01:00
Benjamin Gregg 6cbe294c1b Fix Deepcopy Error
Fix Deepcopy Error in new comfy versions
2026-01-10 10:30:32 +01:00
93 changed files with 1838 additions and 12107 deletions
-1
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@@ -14,4 +14,3 @@ node.zip
# I store the gh-pages worktrees (src & build) there
.worktrees
comfy.lock
web/dist
+6 -8
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@@ -1,8 +1,6 @@
{
"semi": false,
"singleQuote": true,
"tabWidth": 2,
"useTabs": false,
"plugins": ["prettier-plugin-svelte"]
}
{
"semi": false,
"singleQuote": true,
"tabWidth": 2,
"useTabs": false
}
+3 -3
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@@ -1,8 +1,8 @@
# MTB Nodes
> [!CAUTION]
> A lot of recent changes to comfy broke many things in mtb (colors, dynamic inputs and probably more)
> [`dev/0.6.0`](https://github.com/melMass/comfy_mtb/tree/dev/0.6.0) partially address these. My time is limited lately so it might take time to finish and merge
> [!NOTE]
> master/main is outdated for now to keep backward compatibility, the next version is being worked on in
> [`dev/0.6.0`](https://github.com/melMass/comfy_mtb/tree/dev/0.6.0)
[![embedded test](https://github.com/melMass/comfy_mtb/actions/workflows/test_embedded.yml/badge.svg)](https://github.com/melMass/comfy_mtb/actions/workflows/test_embedded.yml)
+59 -23
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@@ -7,7 +7,7 @@
#
###
__version__ = "0.6.0"
__version__ = "0.5.4"
import os
@@ -144,41 +144,81 @@ Please manually remove it from disk ({web_mtb}) and restart the server."""
# - GATHER WIKI PAGES
from .docs import assign_descriptions, load_wiki_docs
def wiki_to_classname(s: str):
wiki_name = s.replace("nodes-", "", 1)
return "MTB_" + "".join(
[part.capitalize() for part in wiki_name.split("-")]
)
def classname_to_wiki(s: str):
classname = s.replace("MTB_", "")
parts: list[str] = []
start = 0
for i in range(1, len(classname)):
if classname[i].isupper():
parts.append(classname[start:i].lower())
start = i
parts.append(classname[start:].lower())
return "nodes-" + "-".join(parts)
wiki = here / "wiki"
node_docs = load_wiki_docs(wiki)
node_docs = {}
if wiki.exists() and wiki.is_dir():
node_docs = {
wiki_to_classname(x.stem): x.read_text(encoding="utf-8")
for x in (wiki / "nodes").glob("*.md")
}
# - REGISTER NODES
MTB_EXPORT = os.environ.get("MTB_EXPORT")
nodes, failed = load_nodes()
assign_descriptions(nodes, node_docs, wiki, log, export=bool(MTB_EXPORT))
for node_class in nodes:
class_name: str = node_class.__name__
linked_doc = node_docs.get(class_name)
if not hasattr(node_class, "DESCRIPTION"):
if linked_doc:
log.debug(f"Found linked doc for {class_name}, using it")
node_class.DESCRIPTION = linked_doc
elif node_class.__doc__:
log.debug(f"Using __doc__ as description for {class_name}")
node_class.DESCRIPTION = node_class.__doc__
if MTB_EXPORT:
wiki_name = classname_to_wiki(class_name)
_ = (wiki / "nodes" / (wiki_name + ".md")).write_text(
node_class.__doc__, encoding="utf-8"
)
else:
log.debug(
f"None of the methods could retrieve documentation for {class_name}"
)
node_label = f"{get_label(class_name)} (mtb)"
NODE_CLASS_MAPPINGS[node_label] = node_class
NODE_DISPLAY_NAME_MAPPINGS[class_name] = node_label
NODE_CLASS_MAPPINGS_DEBUG[node_label] = node_class.__doc__
# TODO: I removed this, I find it more convenient to write without spaces
# but it breaks every of my workflows
# TODO (cont): and until I find a way to automate the conversion
# I'll leave it like this
# TODO: I removed this, I find it more convenient to write without spaces
# but it breaks every of my workflows
# TODO (cont): and until I find a way to automate the conversion
# I'll leave it like this
if MTB_EXPORT:
with open(here / "node_list.json", "w") as f:
_ = f.write(
json.dumps(
{
k: NODE_CLASS_MAPPINGS_DEBUG[k]
for k in sorted(NODE_CLASS_MAPPINGS_DEBUG.keys())
},
indent=4,
if os.environ.get("MTB_EXPORT"):
with open(here / "node_list.json", "w") as f:
_ = f.write(
json.dumps(
{
k: NODE_CLASS_MAPPINGS_DEBUG[k]
for k in sorted(NODE_CLASS_MAPPINGS_DEBUG.keys())
},
indent=4,
)
)
)
log.debug(
"Loaded the following nodes:\n\t"
@@ -225,10 +265,6 @@ def register_routes():
from PIL import Image
from .repl import setup_custom_web_routes
setup_custom_web_routes(PromptServer.instance.app)
with contextlib.suppress(ImportError):
from cachetools import TTLCache
+3 -5
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@@ -1,17 +1,15 @@
{
"$schema": "https://biomejs.dev/schemas/2.0.5/schema.json",
"assist": {
"enabled": true,
"actions": { "source": { "useSortedKeys": "on", "organizeImports": "on" } }
},
"assist": { "actions": { "source": { "organizeImports": "on" } } },
"linter": {
"enabled": true,
"rules": {
"recommended": true,
"suspicious": {
"noConsole": "error"
"noConsole": { "level": "warn", "options": { "allow": ["log"] } }
},
"style": {
"noParameterAssign": "off",
"noShoutyConstants": "warn",
"useNamingConvention": "off",
"useAsConstAssertion": "error",
-101
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@@ -1,101 +0,0 @@
###
# File: docs.py
# Project: comfy_mtb
# Author: Mel Massadian
# Copyright (c) 2023-2025 Mel Massadian
#
###
"""Documentation handling utilities for MTB nodes."""
import re
from pathlib import Path
def strip_html_tags(text: str) -> str:
"""Strip HTML tags from description text, converting images to markdown.
- Removes <details>...</details> blocks entirely (they contain JSON workflows)
- Converts <img src="URL"> to ![](URL)
- Removes all other HTML tags while keeping their content
"""
# Remove <details>...</details> blocks entirely (contain JSON workflows)
text = re.sub(r"<details>.*?</details>", "", text, flags=re.DOTALL)
# Convert <img src="URL"> to ![](URL)
text = re.sub(r'<img[^>]+src=["\']([^"\']+)["\'][^>]*/?\s*>', r"![](\1)", text)
# Remove remaining HTML tags, keep content
text = re.sub(r"<[^>]+>", "", text)
return text.strip()
def wiki_to_classname(s: str) -> str:
"""Convert wiki filename to class name.
Example: "nodes-animation-builder" -> "MTB_AnimationBuilder"
"""
wiki_name = s.replace("nodes-", "", 1)
return "MTB_" + "".join([part.capitalize() for part in wiki_name.split("-")])
def classname_to_wiki(s: str) -> str:
"""Convert class name to wiki filename.
Example: "MTB_AnimationBuilder" -> "nodes-animation-builder"
"""
classname = s.replace("MTB_", "")
parts: list[str] = []
start = 0
for i in range(1, len(classname)):
if classname[i].isupper():
parts.append(classname[start:i].lower())
start = i
parts.append(classname[start:].lower())
return "nodes-" + "-".join(parts)
def load_wiki_docs(wiki_path: Path) -> dict[str, str]:
"""Load wiki documentation files as a dict of classname -> content."""
if not wiki_path.exists() or not wiki_path.is_dir():
return {}
nodes_path = wiki_path / "nodes"
if not nodes_path.exists():
return {}
return {
wiki_to_classname(x.stem): x.read_text(encoding="utf-8")
for x in nodes_path.glob("*.md")
}
def assign_descriptions(
nodes: list,
node_docs: dict[str, str],
wiki_path: Path,
log,
export: bool = False,
) -> None:
"""Assign DESCRIPTION to nodes from wiki docs or docstrings.
Priority:
1. Existing DESCRIPTION attribute (not modified)
2. Wiki doc file
3. __doc__ docstring
"""
for node_class in nodes:
class_name = node_class.__name__
linked_doc = node_docs.get(class_name)
if not hasattr(node_class, "DESCRIPTION"):
if linked_doc:
log.debug(f"Found linked doc for {class_name}, using it")
node_class.DESCRIPTION = linked_doc
elif node_class.__doc__:
log.debug(f"Using __doc__ as description for {class_name}")
node_class.DESCRIPTION = node_class.__doc__
if export:
wiki_name = classname_to_wiki(class_name)
(wiki_path / "nodes" / f"{wiki_name}.md").write_text(
node_class.__doc__, encoding="utf-8"
)
else:
log.debug(
f"None of the methods could retrieve documentation for {class_name}"
)
+104 -211
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@@ -1,175 +1,85 @@
# NOTE: This file is only use for development you can ignore it
use log.nu
use nssm.nu *
use nutils.nu [ make-id upsert-all fwd-slash backup-file ]
use os.nu [ link ]
use private/log.nu
# --- utilities ---
def get_root [ --clean] {
if $clean {
$env.COMFY.ROOTS.clean
} else {
$env.COMFY.ROOTS.main
}
def get_root [--clean] {
if $clean {
$env.COMFY_CLEAN_ROOT
} else {
$env.COMFY_ROOT
}
}
def --env path-add [pth] {
$env.PATH = ($env.PATH | append ($pth | path expand))
export def "comfy build-web" [] {
cd $env.COMFY_MTB
cd web_source
npm run build
cp dist/*.js ../web/dist
}
export def "comfy dev-web" [] {
cd $env.COMFY_MTB
cd web_source
npm run dev
}
export def "daily run" [] {
let res = (comfy update --rebase)
comfy update --clean
comfy update_extensions
daily commit $res.from $res.to
}
def short-date [] {
format date "%Y-%m-%d"
}
export def spawn-for [timeout: duration task: closure] {
let input = $in
let parent_id = job id
let task_id = job spawn {
$input | do $task | job send --tag (job id) $parent_id
}
try {
job recv --tag $task_id --timeout $timeout
} catch {
job kill $task_id
error make {
msg: "Task timed out."
label: {
text: "timed out"
span: (metadata $task).span
}
}
}
}
# --- exports --
export def "comfy profile" [timeout = 60sec] {
let to_match = "To see the GUI go to"
pyinstrument -r html main.py ...($env.COMFY.ARGS)
| tee -e {
each {
let stde = $in
print -ne $stde
if $to_match in $stde {
print $"(ansi gb)Profiling Done!(ansi reset)"
let process = (ps -l | where name =~ python | where command =~ pyinstrument | last)
kill -f $process.pid
}
}
}
| complete
| get stdout
| save $"profiled_(date now | format date '%s').html"
}
export def "comfy profile-plus" [] {
let timestamp = (date now | format date "%s")
let log_name = $"cprofile_run_($timestamp)"
let profiled = (python -m cProfile main.py --port 3000 --preview-method auto | tee -e { print -ne } | complete)
let out = (
$profiled.stdout
| lines
# skip summary
| skip 4
| str join "\n"
)
# save result
$out | save $"raw_($log_name).txt"
# process
$out
| from ssv
| upsert-all { into float } tottime percall cumtime
| save $"($log_name).nuon"
}
export def restart-server [] {
nssm restart -c comfy
}
# build the web components of mtb
export def "comfy build-web" [] {
cd $env.COMFY.ROOTS.mtb
if ("./web/dist" | path exists) {
rm -rt ./web/dist
}
cd web_source
^$env.NPM_BINARY run build
cp -r dist ../web/dist
}
# start the dev server for web components
export def "comfy dev-web" [] {
cd $env.COMFY.ROOTS.mtb
cd web_source
^$env.NPM_BINARY run dev
}
# daily check / update
export def "daily run" [] {
let res = (comfy update --rebase)
comfy update --clean
comfy update_extensions
daily commit $res.from_commit $res.to_commit
}
# was daily run today?
export def "daily was-run" [] {
let daily = ($env.COMFY.ROOTS.mtb | path join daily.nuon)
let daily = ($env.COMFY_MTB | path join daily.nuon)
if ($daily | path exists) {
let last = (open $daily | sort-by date | get date | last | short-date)
let last = (open $daily | sort-by date | get date | last | short-date)
let today = (date now | short-date)
return ($last == $today)
}
return false
}
export def "daily commit" [from_commit: string to_commit: string] {
let daily = ($env.COMFY.ROOTS.mtb | path join daily.nuon)
let commit = [{date: (date now) from_commit: $from_commit to_commit: $to_commit}]
export def "daily commit" [from:string, to:string] {
let daily = ($env.COMFY_MTB | path join daily.nuon)
let commit = [{date: (date now) from:$from to:$to}]
let dailies = (
if ($daily | path exists) {
open $daily | append $commit
} else {
let dailies = (if ($daily | path exists) {
open $daily | append $commit
} else {
$commit
}
)
})
$dailies | save -f $daily
log success "Commited daily check"
}
# start the comfy server
export def "comfy start" [
--clean
--old-ui
--listen
--skip-daily (-s)
] {
if not (daily was-run) and not $skip_daily {
log info "Running daily checks"
daily run
}
let root = (get_root --clean=$clean)
cd $root
export def "comfy start" [--clean,--old-ui, --listen, --skip-daily(-s)] {
if (not (daily was-run)) and not $skip_daily {
log info "Running daily checks"
daily run
}
let root = get_root --clean=($clean)
cd $root
log info "Running Server"
log info "Running Server"
MTB_DEBUG=true python main.py --port 3000 ...(if $old_ui { ["--front-end-version" "Comfy-Org/ComfyUI_legacy_frontend@latest"] } else { [--front-end-version Comfy-Org/ComfyUI_frontend@latest] }) --preview-method auto ...(if $listen { ["--listen"] } else { [] })
MTB_DEBUG=true python main.py --port 3000 ...(if $old_ui { ["--front-end-version", "Comfy-Org/ComfyUI_legacy_frontend@latest"]} else {[ --front-end-version Comfy-Org/ComfyUI_frontend@latest]}) --preview-method auto ...(if $listen {["--listen"]} else {[]})
}
# update comfy itself and merge master in current branch
export def "comfy update" [
--clean # comfy clean instance
--rebase # Rebase instead of merge
--clean # ??
--rebase # Rebase instead of merge
] {
let root = get_root --clean=$clean
@@ -184,28 +94,21 @@ export def "comfy update" [
log info "Backing up and removing models symlinks"
# preparing root for pull
let pyproject = if not $clean {
log info "Backing up the pyproject.toml..."
let proj = (backup-file --root pyproject.toml)
log info "Restoring the original pyproject"
if not $clean {
git checkout pyproject.toml
cd $models
# find and store all symlinks
log info "Checking for links in models..."
let links = (
ls -la | where not ($it.target | is-empty) | select name target | sort-by name
)
log info $"Found links: ($links)"
let links = (ls -la |
where not ($it.target | is-empty) |
select name target |
sort-by name)
if not ($links | is-empty) {
log info "Backing up the symlinks..."
backup-file --root links.nuon
$links | save -f links.nuon
# remove them
open links.nuon | each {|p| rm $p.name }
}
$proj
} else {
# just remove symlinks
rm $models
@@ -238,6 +141,7 @@ export def "comfy update" [
if $rebase {
log info "Rebasing changes"
git rebase master
} else {
log info "Merging changes"
git merge master
@@ -248,10 +152,9 @@ export def "comfy update" [
if not $clean {
rm pyproject.toml
log info "Using our own pyproject..."
cp $pyproject pyproject.toml
cp pyproject-mel.toml pyproject.toml
cd $models
log info "Relinking models..."
# resymlink them
open links.nuon | each {|p| link -a $p.target $p.name }
} else {
@@ -264,82 +167,72 @@ export def "comfy update" [
log success $"Update successful \(($commit_count) new commits\)"
return {from_commit: $current_commit to_commit: $new_commit}
return {from:$current_commit to:$new_commit}
}
export def "comfy toggle_extensions" [
--clean
] {
let root = get_root --clean=$clean
cd $root
cd custom_nodes
let exts = (ls | where type in ["dir" "symlink"] | get name)
let choices = ($exts | input list -m "choose extension to toggle")
if ($choices | is-empty) {
return
}
export def "comfy toggle_extensions" [--clean] {
let root = get_root --clean=($clean)
cd $root
cd custom_nodes
let exts = (ls | where type in ["dir","symlink"] | get name)
let choices = ($exts | input list -m "choose extension to toggle")
if ($choices | is-empty) {
return
}
log info "Choices" $choices
log info "Choices" $choices
let filtered = $choices | wrap name | upsert enabled {|p| not ($p.name | str ends-with ".disabled") }
let filtered = $choices | wrap name | upsert enabled {|p| not ($p.name | str ends-with ".disabled")}
log info "Filtered" $filtered
$filtered | each {|f|
let new_name = ($f.name | str replace ".disabled" "")
log info "Filtered" $filtered
$filtered | each {|f|
let new_name = ($f.name | str replace ".disabled" "")
let new_name = if $f.enabled {
$"($new_name).disabled"
} else {
$new_name
let new_name = if $f.enabled {
$"($new_name).disabled"
} else {
$new_name
}
log info $"Moving ($f.name) to ($new_name)"
mv $f.name $new_name
}
log info $"Moving ($f.name) to ($new_name)"
mv $f.name $new_name
}
}
# git pull all extensions
export def "comfy update_extensions" [ --clean] {
let root = get_root --clean=$clean
cd $root
cd custom_nodes
git multipull . -s -q
export def "comfy update_extensions" [--clean] {
let root = get_root --clean=($clean)
cd $root
cd custom_nodes
git multipull . -s -q
}
# manual set version of mtb
export def "comfy-mtb set-version" [version: string] {
# let pyproject = open pyproject.toml
# let current_version = $pyproject.project.version
# $pyproject | upsert project.version $version | save -f pyproject.toml
# taplo format pyproject.toml
sd "(__version__ = )\"(.*)\"" $"${1}\"($version)\"" __init__.py
sd "(version = )(.*)" $"${1}\"($version)\"" pyproject.toml
# log info $"⬆️ Bump version: ($current_version) → ($version)"
def --env path-add [pth] {
$env.PATH = ($env.PATH | append ($pth | path expand))
}
# -- env
export-env {
$env.PYTHONUTF8 = 1
$env.COMFY = {
base_url : "https://mel-pc.tail3c8eb.ts.net"
ARGS: [--port 3000 --preview-method auto]
ROOTS: {
mtb: ("." | path expand | fwd-slash)
main: ("../.." | path expand | fwd-slash)
clean: ($env.COMFY_ROOT | path dirname | path join ComfyClean | fwd-slash)
}
}
$env.COMFY_MTB = ("." | path expand)
# $env.CUDA_ROOT = 'C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\'
$env.NPM_BINARY = "bun"
$env.CUDA_HOME = $env.CUDA_ROOT
#
path-add 'C:/Portable/TensorRT-8.6.0.12/lib'
#
if $nu.os-info.family == 'windows' {
path-add "G:/BIN/TensorRT-10.7.0.23/lib"
path-add "G:/BIN/cudnn-windows-x86_64-9.6.0.74_cuda12-archive/bin"
}
#
path-add ($env.CUDA_ROOT | path join bin)
overlay use "../../.venv/Scripts/activate.nu"
$env.COMFY_ROOT = ("../.." | path expand)
$env.COMFY_CLEAN_ROOT = ($env.COMFY_ROOT | path dirname | path join ComfyClean)
path-add 'C:/Portable/TensorRT-8.6.0.12/lib'
if $nu.os-info.family == 'windows' {
path-add 'G:\BIN\TensorRT-10.7.0.23\lib'
path-add 'G:\BIN\cudnn-windows-x86_64-9.6.0.74_cuda12-archive\bin'
}
path-add ($env.CUDA_ROOT | path join bin)
overlay use ../../.venv/Scripts/activate.nu
}
-3
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@@ -1,3 +0,0 @@
{
"use_repl": false
}
+1 -1
View File
@@ -55,7 +55,7 @@ def mklog(name: str, level: int = base_log_level):
# - The main app logger
log = mklog("comfy-mtb", base_log_level)
log = mklog(__package__, base_log_level)
def log_user(arg: str):
+11 -19
View File
@@ -1,4 +1,3 @@
import sys
from typing import TYPE_CHECKING, Any, TypedDict
import torch
@@ -278,14 +277,14 @@ class MTB_AudioToText(MtbAudio):
f"Processing chunk {chunk_offset:.1f}s - {chunk_end / sample_rate:.1f}s"
)
max_length = model.config.max_length or 448
max_length = getattr(model.config, "max_length", None) or 448
attention_mask = torch.ones((1, max_length))
input_features = processor(
chunk_waveform,
sampling_rate=sample_rate,
return_tensors="pt",
).input_features.to(device)
).input_features.to(device=device, dtype=model.dtype)
with torch.no_grad():
predicted_ids = model.generate(
@@ -486,24 +485,17 @@ class MTB_AudioCut(MtbAudio):
"required": {
"audio": ("AUDIO",),
"length": (
("INT"),
("FLOAT"),
{
"default": 1000,
"min": 100,
"max": sys.maxsize,
"default": 1000.0,
"min": 0.0,
"max": 999999.0,
"step": 1,
"tooltip": "Length in milliseconds",
},
),
"offset": (
("INT"),
{
"default": 0,
"min": 0,
"max": sys.maxsize,
"step": 1,
"tooltip": "Offset in milliseconds",
},
("FLOAT"),
{"default": 0.0, "min": 0.0, "max": 999999.0, "step": 1},
),
},
}
@@ -513,11 +505,11 @@ class MTB_AudioCut(MtbAudio):
CATEGORY = "mtb/audio"
FUNCTION = "cut"
def cut(self, audio: AudioTensor, length: int, offset: int):
def cut(self, audio: AudioTensor, length: float, offset: float):
sample_rate = audio["sample_rate"]
start_idx: int = int(float(offset) * float(sample_rate) / 1000)
start_idx = int(offset * sample_rate / 1000)
end_idx = min(
start_idx + int(float(length) * float(sample_rate) / 1000),
start_idx + int(length * sample_rate / 1000),
audio["waveform"].shape[-1],
)
cut_waveform = audio["waveform"][:, :, start_idx:end_idx]
+26 -11
View File
@@ -200,7 +200,7 @@ class MTB_ImageBatchToSublist:
RETURN_TYPES = ("IMAGE", "MASK", "INT")
RETURN_NAMES = ("image_list", "mask_list", "item_count")
OUTPUT_IS_LIST = (True, True, False)
OUTPUT_IS_LIST = (True, True)
FUNCTION = "split_batch"
CATEGORY = "batch_processing"
@@ -215,26 +215,41 @@ class MTB_ImageBatchToSublist:
"You must either pass mask or image, none received"
)
image_count = image.size(0) if image is not None else 0
mask_count = mask.size(0) if mask is not None else 0
image_count = 0
if image is not None:
image_count = image.size(0)
mask_count = 0
if mask is not None:
mask_count = mask.size(0)
if image_count > 0 and mask_count > 0 and mask_count != image_count:
raise ValueError(
f"When providing image and mask, batch size must match (got {mask_count} mask and {image_count} images)"
f"When providing image and mask, batch size must match (got {mask.size(0)} mask and {image.size(0)} images)"
)
batch_size = max(image_count, mask_count)
if batch_size == 0:
return ([], [], [0])
num_full_batches = batch_size // sub_batch_size
im_batches = []
mask_batches = []
for i in range(0, batch_size, sub_batch_size):
if image is not None:
im_batches.append(image[i : i + sub_batch_size])
if mask is not None:
mask_batches.append(mask[i : i + sub_batch_size])
for i in range(num_full_batches):
start_idx = i * sub_batch_size
end_idx = start_idx + sub_batch_size
if image_count > 0:
im_batches.append(image[start_idx:end_idx, ...])
if mask_count > 0:
mask_batches.append(mask[start_idx:end_idx, ...])
if batch_size % sub_batch_size != 0:
remaining_start = num_full_batches * sub_batch_size
if image_count > 0:
im_batches.append(image[remaining_start:, ...])
if mask_count > 0:
mask_batches.append(mask[remaining_start:, ...])
return (im_batches, mask_batches, len(im_batches))
+179 -605
View File
@@ -1,70 +1,33 @@
import base64
import io
import textwrap
from collections.abc import Callable
from functools import wraps
from typing import Any, Literal, Protocol, TypedDict, runtime_checkable
import json
from pathlib import Path
import folder_paths
import torch
from rich import inspect
from rich.console import Console
from ..log import log
from ..utils import LazyProxyTensor, get_torch_tensor_info, tensor2pil
try:
import matplotlib.pyplot as plt
import numpy as np
plt.style.use("dark_background")
MATPLOTLIB_AVAILABLE = True
except ImportError:
MATPLOTLIB_AVAILABLE = False
from ..utils import tensor2pil
# region Decorator
def metadata(**meta_kwargs: Any) -> Callable[[Any], Any]:
"""Add metadata to method (`__meta__` dict)."""
def decorator(func: Callable[[Any], Any]) -> Callable[[Any], Any]:
@wraps(func)
def wrapper(*args, **kwargs):
return func(*args, **kwargs)
wrapper.__meta__ = meta_kwargs
return wrapper
return decorator
# endregion
class UIResult(TypedDict):
kind: Literal["text", "b64_images"]
data: str
def indent_results(results: list[UIResult], by: str = " "):
for res in results:
if res["kind"] == "text":
log.debug(f"Indenting: {res['data']}")
res["data"] = textwrap.indent(res["data"], by)
return results
ProcessorResult = list[UIResult]
def _get_detailed_type_info(obj) -> str:
type_info: list[str] = []
def get_detailed_type_info(obj):
type_info = []
type_name = type(obj).__name__
type_info.append(f"Type: {type_name}")
if isinstance(obj, torch.Tensor):
return get_torch_tensor_info(obj)
elif isinstance(obj, list | tuple):
type_info.extend(
[
f"Shape: {obj.shape}",
f"Dtype: {obj.dtype}",
f"Device: {obj.device}",
f"Requires grad: {obj.requires_grad}",
f"Stride: {obj.stride()}",
f"Contiguous: {obj.is_contiguous()}",
]
)
elif isinstance(obj, (list, tuple)):
type_info.extend(
[
f"Length: {len(obj)}",
@@ -84,184 +47,122 @@ def _get_detailed_type_info(obj) -> str:
attributes = [attr for attr in dir(obj) if not attr.startswith("_")]
type_info.append(f"Attributes: {attributes}")
return "\n".join(type_info)
def _apply_rich_results(processed, mode="none", title=""):
processing_text = False
acc = ""
reshaped: list[UIResult] = []
for i in range(len(processed)):
if processed[i]["kind"] == "text":
if not processing_text:
processing_text = True
acc += processed[i]["data"] + "\n"
if len(processed) == (i + 1):
reshaped.append(
UIResult(
kind="text", data=_apply_rich(acc, mode, title=title)
)
)
else:
if processing_text:
processing_text = False
reshaped.append(
UIResult(
kind="text", data=_apply_rich(acc, mode, title=title)
)
)
acc = ""
reshaped.append(processed[i])
return reshaped
# for item in processed:
return type_info
# region processors
def _apply_rich(
formatted: str | list[str], rich_mode: str | None = None, *, title=""
) -> str:
if rich_mode is None:
return (
formatted if isinstance(formatted, str) else "\n".join(formatted)
def process_tensor(tensor: torch.Tensor, as_type=False):
log.debug(f"Tensor: {tensor.shape}")
if as_type:
return {
"text": [f"Tensor of shape {tensor.shape} of type {tensor.dtype}"]
}
is_mask = len(tensor.shape) == 3
if is_mask:
tensor = tensor.unsqueeze(-1).repeat(1, 1, 1, 3)
image = tensor2pil(tensor)
b64_imgs = []
for im in image:
if is_mask:
im = im.convert("L")
buffered = io.BytesIO()
im.save(buffered, format="PNG")
b64_imgs.append(
"data:image/png;base64,"
+ base64.b64encode(buffered.getvalue()).decode("utf-8")
)
from rich.console import Console
return {"b64_images": b64_imgs}
console = Console(record=True)
if isinstance(formatted, list):
for line in formatted:
console.print(line)
def process_list(anything, as_type=False):
text = []
if not anything:
return {"text": []}
if as_type:
type_info = get_detailed_type_info(anything)
type_info.extend(get_detailed_type_info(anything[0]))
return {"text": type_info}
first_element = anything[0]
if (
isinstance(first_element, list)
and first_element
and isinstance(first_element[0], torch.Tensor)
):
text.append(
"List of List of Tensors: "
f"{first_element[0].shape} (x{len(anything)})"
)
elif isinstance(first_element, torch.Tensor):
text.append(
f"List of Tensors: {first_element.shape} (x{len(anything)})"
)
else:
console.print(formatted)
text.append(f"Array ({len(anything)}): {anything}")
CSV_CODE_FORMAT = """
<svg class="rich-terminal" viewBox="0 0 {width} {height}" xmlns="http://www.w3.org/2000/svg">
<!-- Generated with Rich https://www.textualize.io -->
<style>
return {"text": text}
@font-face {{
font-family: "Fira Code";
src: local("FiraCode-Regular"),
url("https://cdnjs.cloudflare.com/ajax/libs/firacode/6.2.0/woff2/FiraCode-Regular.woff2") format("woff2"),
url("https://cdnjs.cloudflare.com/ajax/libs/firacode/6.2.0/woff/FiraCode-Regular.woff") format("woff");
font-style: normal;
font-weight: 400;
}}
@font-face {{
font-family: "Fira Code";
src: local("FiraCode-Bold"),
url("https://cdnjs.cloudflare.com/ajax/libs/firacode/6.2.0/woff2/FiraCode-Bold.woff2") format("woff2"),
url("https://cdnjs.cloudflare.com/ajax/libs/firacode/6.2.0/woff/FiraCode-Bold.woff") format("woff");
font-style: bold;
font-weight: 700;
}}
.{unique_id}-matrix {{
font-family: Fira Code, monospace;
font-size: {char_height}px;
line-height: {line_height}px;
font-variant-east-asian: full-width;
}}
def process_dict(anything, as_type=False):
text = []
if as_type:
return {"text": get_detailed_type_info(anything)}
.{unique_id}-title {{
font-size: 18px;
font-weight: bold;
font-family: arial;
}}
if "samples" in anything:
is_empty = (
"(empty)" if torch.count_nonzero(anything["samples"]) == 0 else ""
)
text.append(f"Latent Samples: {anything['samples'].shape} {is_empty}")
{styles}
</style>
<defs>
<clipPath id="{unique_id}-clip-terminal">
<rect x="0" y="0" width="{terminal_width}" height="{terminal_height}" />
</clipPath>
{lines}
</defs>
{chrome}
<g clip-path="url(#{unique_id}-clip-terminal)">
{backgrounds}
<g class="{unique_id}-matrix">
{matrix}
</g>
</g>
</svg>
"""
if rich_mode == "svg-window":
return console.export_svg(title=title, code_format=CSV_CODE_FORMAT)
elif rich_mode == "svg":
return console.export_svg(
title=title,
code_format=CSV_CODE_FORMAT.replace("{chrome}", ""),
elif "waveform" in anything:
is_empty = (
"(empty) " if torch.count_nonzero(anything["samples"]) == 0 else ""
)
elif rich_mode == "html":
CONSOLE_HTML_FORMAT = textwrap.dedent("""
<div style="color:{foreground};">
<code style="font-family:inherit">{code}</code>
</div>
""").strip()
import rich.terminal_theme
return console.export_html(
inline_styles=True,
code_format=CONSOLE_HTML_FORMAT,
theme=rich.terminal_theme.MONOKAI,
text.append(
f"Audio Samples: {anything['waveform'].shape}{is_empty} | sample rate {anything['sample_rate']}"
)
log.error(f"Unknown rich mode: {rich_mode}")
return formatted if isinstance(formatted, str) else "\n".join(formatted)
else:
log.debug(f"Unhandled dict: {anything.keys()}")
text.append(json.dumps(anything, indent=2))
return {"text": text}
def process_bool(anything, as_type=False):
return {"text": ["True" if anything else "False"]}
def process_text(anything, as_type=False):
if as_type:
return {"text": get_detailed_type_info(anything)}
return {"text": [str(anything)]}
# endregion
# region conditions
# those are pretty dumb there is now probably a better way..
def is_condition(item):
return (
isinstance(item, list)
and all(isinstance(i, list) for i in item)
and isinstance(item[0][0], torch.Tensor)
)
# endregion
RICH_MODE = Literal["none", "html", "svg", "svg-window"]
@runtime_checkable
class Processor(Protocol):
"""Generic protocol for processor functions."""
def __call__(
self, item: Any, *, as_type: bool = False, deep: bool = False
) -> ProcessorResult: ...
class MTB_Debug:
"""A debug node."""
"""Experimental node to debug any Comfy values.
support for more types and widgets is planned.
"""
@classmethod
def INPUT_TYPES(cls):
return {
"required": {"output_to_console": ("BOOLEAN", {"default": False})},
"optional": {
"as_detailed_types": ("BOOLEAN", {"default": False}),
"deep_inspect": ("BOOLEAN", {"default": False}),
"rich_mode": (
("none", "html", "svg", "svg-window"),
{"default": "none"},
),
},
"optional": {"as_detailed_types": ("BOOLEAN", {"default": False})},
}
RETURN_TYPES = ()
@@ -269,426 +170,99 @@ class MTB_Debug:
CATEGORY = "mtb/debug"
OUTPUT_NODE = True
_processors: dict[type, Processor]
def __init__(self):
self._condition_processors = {is_condition: self._process_condition}
self._class_name_processors = {
"CLIP": self._process_clip,
"VAE": self._process_vae,
}
self._processors = {
torch.nn.Module: self._process_module,
torch.Tensor: self._process_tensor,
LazyProxyTensor: self._process_repr,
list: self._process_container,
tuple: self._process_container,
dict: self._process_dict,
bool: self._process_bool,
str: self._process_primitive,
int: self._process_primitive,
float: self._process_primitive,
type(None): self._process_primitive,
}
# - Dispatchers ------------------------------------------------------------
def _dispatch_processor(
self, item: Any, *, as_type=False, deep=False
) -> ProcessorResult:
"""Find and calls the appropriate processor for the given item."""
# first conditions
for c, process in self._condition_processors.items():
if c(item):
return process(item, as_type=as_type, deep=deep)
# named class
class_name = type(item).__name__
if class_name in self._class_name_processors:
return self._class_name_processors[class_name](
item, as_type=as_type, deep=deep
)
# type based or unknown
processor = self._processors.get(type(item), self._process_unknown)
res = processor(item, as_type=as_type, deep=deep)
return res
def do_debug(
self,
**kwargs,
self, output_to_console: bool, as_detailed_types: bool, **kwargs
):
output = {"ui": {"items": []}}
settings = {k: kwargs.pop(k) for k in self.INPUT_TYPES()["optional"]}
output_to_console = kwargs.pop("output_to_console")
as_type = settings.get("as_detailed_types", False)
deep = settings.get("deep_inspect", False)
rich_mode = settings.get("rich_mode", "none")
if output_to_console:
for k, v in kwargs.items():
log.info(f"{k}: {v}")
for input_name, item in kwargs.items():
processed = self._dispatch_processor(
item, as_type=as_type, deep=deep
)
if processed is None:
continue
for input_name, anything in kwargs.items():
processor = processors.get(type(anything), process_text)
if rich_mode != "none":
title = f"{input_name} ({type(item).__name__})"
processed = _apply_rich_results(processed, rich_mode, title)
processed = processor(anything, as_detailed_types)
if output_to_console:
log.info(f"- Input '{input_name}':")
for p in processed:
if p["kind"] == "text":
log.info(f" {p['data']}")
if p["kind"] == "b64_image":
log.info(f" (contains {len(p['data'])} images)")
item = {
"input": input_name,
**processed,
}
output["ui"]["items"].append(item)
output["ui"]["items"].append(
{"input": input_name, "items": processed}
)
return output
def _process_unknown(
self, item: Any, *, as_type=False, deep=False
) -> ProcessorResult:
console = Console(
record=True,
width=120,
)
console.print(f"Generic {type(item).__name__}", emoji=True)
if as_type:
inspect(item, console=console, all=deep, methods=deep, docs=deep)
else:
console.print(item, emoji=True)
class MTB_SaveTensors:
"""Save torch tensors (image, mask or latent) to disk.
text_output = console.export_text(clear=True)
useful to debug things outside comfy.
"""
return [UIResult(kind="text", data=text_output.strip())]
def __init__(self):
self.output_dir = folder_paths.get_output_directory()
self.type = "mtb/debug"
def _process_repr(
self, item: Any, as_type=False, deep=False
) -> ProcessorResult:
return [{"kind": "text", "data": item.__repr__()}]
@classmethod
def INPUT_TYPES(cls):
return {
"required": {
"filename_prefix": ("STRING", {"default": "ComfyPickle"}),
},
"optional": {
"image": ("IMAGE",),
"mask": ("MASK",),
"latent": ("LATENT",),
},
}
def _process_primitive(
self, item: Any, *, as_type=False, deep=False
) -> ProcessorResult:
if as_type:
return self._process_unknown(item, as_type=as_type, deep=deep)
FUNCTION = "save"
OUTPUT_NODE = True
RETURN_TYPES = ()
CATEGORY = "mtb/debug"
return [UIResult(kind="text", data=str(item))]
def save(
self,
filename_prefix,
image: torch.Tensor | None = None,
mask: torch.Tensor | None = None,
latent: torch.Tensor | None = None,
):
(
full_output_folder,
filename,
counter,
subfolder,
filename_prefix,
) = folder_paths.get_save_image_path(filename_prefix, self.output_dir)
full_output_folder = Path(full_output_folder)
if image is not None:
image_file = f"{filename}_image_{counter:05}.pt"
torch.save(image, full_output_folder / image_file)
# np.save(full_output_folder/ image_file, image.cpu().numpy())
def _process_bool(
self, item: bool, *, as_type=False, deep=False
) -> ProcessorResult: # noqa: FBT001
return [{"kind": "text", "data": "True" if item else "False"}]
if mask is not None:
mask_file = f"{filename}_mask_{counter:05}.pt"
torch.save(mask, full_output_folder / mask_file)
# np.save(full_output_folder/ mask_file, mask.cpu().numpy())
def _process_clip(
self, item: Any, *, as_type=False, deep=False
) -> ProcessorResult:
try:
clip_model = getattr(item, "cond_stage_model", None)
tokenizer = getattr(item, "tokenizer", None)
if latent is not None:
# for latent we must use pickle
latent_file = f"{filename}_latent_{counter:05}.pt"
torch.save(latent, full_output_folder / latent_file)
# pickle.dump(latent, open(full_output_folder/ latent_file, "wb"))
text = [UIResult(kind="text", data="CLIP")]
if clip_model:
text.append(UIResult(kind="text", data="CLIP Model:"))
model_summary = self._process_module(
clip_model, as_type=as_type
)
if model_summary:
text.extend(indent_results(model_summary, " "))
else:
text.append(
UIResult(
kind="text",
data="[error] failed to get informations about clip model",
)
)
# np.save(full_output_folder / latent_file,
# latent[""].cpu().numpy())
if tokenizer:
text.append(UIResult(kind="text", data="Tokenizer:"))
vocab_size = getattr(tokenizer, "vocab_size", "N/A")
text.append(
UIResult(
kind="text",
data=f" Class: {type(tokenizer).__name__}\n Vocab Size: {vocab_size}",
)
)
return text
except Exception as e:
log.error(f"Failed to process CLIP object: {e}")
return self._process_unknown(item, as_type=as_type, deep=deep)
def _process_condition(
self, item: Any, *, as_type=False, deep=False
) -> ProcessorResult:
count = len(item)
result = [UIResult(kind="text", data=f"Conditions: {count}")]
for cond in item:
result.extend(self._preview_conditioning_tensor(cond[0]))
return result
def _process_vae(
self, item: Any, *, as_type=False, deep=False
) -> ProcessorResult:
try:
vae_model = getattr(
item, "first_stage_model", getattr(item, "vae", item)
)
text = [
UIResult(kind="text", data="VAE"),
UIResult(kind="text", data="Internal Model:"),
]
model_summary = self._process_module(
vae_model, as_type=as_type, deep=deep
)
text.extend(indent_results(model_summary, " "))
return text
except Exception as e:
log.error(f"Failed to process VAE object: {e}")
return self._process_unknown(item, as_type=as_type, deep=deep)
def _process_module(
self, item: torch.nn.Module, *, as_type=False, deep=False
) -> ProcessorResult:
if as_type and deep:
return self._process_unknown(item, as_type=as_type, deep=deep)
total_params = sum(p.numel() for p in item.parameters())
trainable_params = sum(
p.numel() for p in item.parameters() if p.requires_grad
)
try:
device = next(item.parameters()).device
except StopIteration:
device = "cpu (no parameters)"
train_percent = (
f"{trainable_params / total_params:.2%}"
if total_params > 0
else "0.00%"
)
text = [
f"Model: {type(item).__name__} on {device}",
textwrap.dedent(f"""
- Parameters: {total_params:,}
- Trainable: {trainable_params:,} ({train_percent})
""").strip(),
]
return [{"kind": "text", "data": d} for d in text]
def _process_tensor(
self, item: torch.Tensor, *, as_type=False, deep=False
) -> ProcessorResult:
is_latent = item.ndim == 4 and item.shape[1] == 4
is_image = (
not is_latent and item.ndim == 4 and item.shape[3] in [1, 3, 4]
)
is_conditioning = item.ndim == 3 and item.shape[2] in [
768,
1024,
1152,
1280,
2048,
4096,
]
is_mask = (item.ndim == 2) or (item.ndim == 3 and not is_conditioning)
if as_type:
type_name = "Unknown Tensor"
if is_latent:
type_name = "Latent Tensor"
elif is_image:
type_name = "Image Tensor"
elif is_conditioning:
type_name = "CLIP Conditioning Tensor"
elif is_mask:
type_name = "Mask Tensor"
return [
{
"kind": "text",
"data": get_torch_tensor_info(item, name=type_name),
}
]
if is_image or is_mask:
return self._render_image_tensor(item)
if is_latent:
return self._preview_latent_tensor(item)
if is_conditioning:
return self._preview_conditioning_tensor(item)
return self._process_unknown(item, as_type=as_type, deep=deep)
def _visualize_tensor_heatmap(
self, tensor_2d: torch.Tensor, title: str
) -> str | None:
if not MATPLOTLIB_AVAILABLE:
log.warning("Matplotlib not found. Skipping tensor visualization.")
return None
if tensor_2d.ndim != 2:
log.warning(
f"Cannot visualize tensor with {tensor_2d.ndim} dimensions. Requires 2."
)
return None
fig, ax = plt.subplots(figsize=(6, 4), dpi=100)
im = ax.imshow(tensor_2d.cpu().numpy(), cmap="viridis", aspect="auto")
fig.colorbar(im, ax=ax)
ax.set_title(title)
fig.tight_layout()
buf = io.BytesIO()
fig.savefig(buf, format="png", bbox_inches="tight", pad_inches=0.1)
plt.close(fig)
buf.seek(0)
return "data:image/png;base64," + base64.b64encode(buf.read()).decode(
"utf-8"
)
def _render_image_tensor(self, item: torch.Tensor) -> ProcessorResult:
is_mask = (item.ndim == 2) or (item.ndim == 3 and item.shape[-1] != 3)
img_tensor = (
item.unsqueeze(0) if item.ndim == 3 and not is_mask else item
)
img_tensor = item.unsqueeze(0) if item.ndim == 2 else img_tensor
images = tensor2pil(img_tensor)
b64_imgs = []
for im in images:
if is_mask:
im = im.convert("L")
buffered = io.BytesIO()
im.save(buffered, format="PNG")
b64_imgs.append(
"data:image/png;base64,"
+ base64.b64encode(buffered.getvalue()).decode("utf-8")
)
return [UIResult(kind="b64_images", data=b64_imgs)]
def _preview_latent_tensor(self, item: torch.Tensor) -> ProcessorResult:
is_empty = "(empty)" if torch.count_nonzero(item) == 0 else ""
stats = [
f"Min: {item.min():.4f}",
f"Max: {item.max():.4f}",
f"Mean: {item.mean():.4f}",
]
text = [
get_torch_tensor_info(item, name="Latent Tensor"),
is_empty,
] + stats
result = [UIResult(kind="text", data=t) for t in text]
vis_tensor = item[0].mean(dim=0)
heatmap_b64 = self._visualize_tensor_heatmap(
vis_tensor, "Latent Energy (Channel Mean)"
)
if heatmap_b64:
result.append(UIResult(kind="b64_images", data=[heatmap_b64]))
return result
def _preview_conditioning_tensor(
self, item: torch.Tensor
) -> ProcessorResult:
_batch, tokens, embed_dim = item.shape
text = [
get_torch_tensor_info(item, name="CLIP Conditioning Tensor"),
f"Token Count: {tokens}",
f"Embedding Dim: {embed_dim}",
]
result = [UIResult(kind="text", data=d) for d in text]
heatmap_b64 = self._visualize_tensor_heatmap(
item[0], "Token Embeddings (approx)"
)
if heatmap_b64:
result.append(UIResult(kind="b64_images", data=[heatmap_b64]))
return result
def _process_container(
self, item: list | tuple, *, as_type=False, deep=False
) -> ProcessorResult:
if not item:
return [UIResult(kind="text", data=f"Empty {type(item).__name__}")]
container_type = type(item).__name__
element_type = type(item[0]).__name__
all_match = all(type(i) is type(item[0]) for i in item)
result = [
UIResult(
kind="text",
data=f"{container_type} of {len(item)} x {element_type}",
),
UIResult(kind="text", data=f"(mixed types: {not all_match})"),
]
if not as_type or (as_type and deep):
for i, sub_item in enumerate(item):
res = self._dispatch_processor(
sub_item, as_type=as_type, deep=deep
)
if res:
text = res[0].get("data", "Unknown")
res[0]["data"] = f"[{i}]: {text}"
result.extend(res)
return result
first_item_result = self._dispatch_processor(
item[0], as_type=as_type, deep=deep
)
if not first_item_result:
return result
return (
result
+ [UIResult(kind="text", data="Preview of first element:")]
+ indent_results(first_item_result, " - ")
)
def _process_dict(
self, item: dict, *, as_type=False, deep=False
) -> ProcessorResult:
if "pooled_output" in item and isinstance(
item["pooled_output"], torch.Tensor
):
return self._dispatch_processor(
item["pooled_output"], as_type=as_type, deep=deep
)
if "samples" in item and isinstance(item.get("samples"), torch.Tensor):
return self._dispatch_processor(
item["samples"], as_type=as_type, deep=deep
)
if "waveform" in item and isinstance(
item.get("waveform"), torch.Tensor
):
waveform = item["waveform"]
is_empty = "(empty) " if torch.count_nonzero(waveform) == 0 else ""
text = textwrap.dedent(f"""
Audio Waveform: {waveform.shape}{is_empty}
Sample Rate: {item.get("sample_rate", "N/A")}
""").strip()
return [{"kind": "text", "data": text}]
log.debug(
f"Processing generic dict with rich inspector: {item.keys()}"
)
return self._process_unknown(item, as_type=as_type, deep=deep)
return f"{filename_prefix}_{counter:05}"
__nodes__ = [MTB_Debug]
processors = {
torch.Tensor: process_tensor,
list: process_list,
dict: process_dict,
bool: process_bool,
}
__nodes__ = [MTB_Debug, MTB_SaveTensors]
-70
View File
@@ -1,70 +0,0 @@
import folder_paths
import torch
class MTB_SaveTensors:
"""Save torch tensors (image, mask or latent) to disk.
useful to debug things outside comfy.
"""
def __init__(self):
self.output_dir = folder_paths.get_output_directory()
self.type = "mtb/debug"
@classmethod
def INPUT_TYPES(cls):
return {
"required": {
"filename_prefix": ("STRING", {"default": "ComfyPickle"}),
},
"optional": {
"image": ("IMAGE",),
"mask": ("MASK",),
"latent": ("LATENT",),
},
}
FUNCTION = "save"
OUTPUT_NODE = True
RETURN_TYPES = ()
CATEGORY = "mtb/debug"
def save(
self,
filename_prefix,
image: torch.Tensor | None = None,
mask: torch.Tensor | None = None,
latent: torch.Tensor | None = None,
):
(
full_output_folder,
filename,
counter,
subfolder,
filename_prefix,
) = folder_paths.get_save_image_path(filename_prefix, self.output_dir)
full_output_folder = Path(full_output_folder)
if image is not None:
image_file = f"{filename}_image_{counter:05}.pt"
torch.save(image, full_output_folder / image_file)
# np.save(full_output_folder/ image_file, image.cpu().numpy())
if mask is not None:
mask_file = f"{filename}_mask_{counter:05}.pt"
torch.save(mask, full_output_folder / mask_file)
# np.save(full_output_folder/ mask_file, mask.cpu().numpy())
if latent is not None:
# for latent we must use pickle
latent_file = f"{filename}_latent_{counter:05}.pt"
torch.save(latent, full_output_folder / latent_file)
# pickle.dump(latent, open(full_output_folder/ latent_file, "wb"))
# np.save(full_output_folder / latent_file,
# latent[""].cpu().numpy())
return f"{filename_prefix}_{counter:05}"
__nodes__ = [MTB_SaveTensors]
+5 -19
View File
@@ -7,13 +7,6 @@ from PIL import Image, ImageDraw, ImageFont
from ..log import log
from ..utils import comfy_dir, font_path, pil2tensor
# try:
# from cairosvg import svg2png
# HAS_CAIRO = True
# except ImportError:
# HAS_CAIRO = False
# class MtbExamples:
# """MTB Example Images"""
@@ -306,7 +299,7 @@ by default it fallsback to a default font.
def text_to_image(
self,
text: str | list[str],
text: str,
font,
wrap,
trim,
@@ -348,7 +341,7 @@ by default it fallsback to a default font.
color = (255, 255, 255, 255)
background = (0, 0, 0, 255)
def render_text(text_to_render: str, alpha=None) -> Image.Image:
def render_text(text_to_render, alpha=None):
if trim:
text_to_render = text_to_render.strip()
if wrap:
@@ -433,16 +426,9 @@ by default it fallsback to a default font.
frame_tensors = [pil2tensor(frame) for frame in frames]
return (torch.cat(frame_tensors, dim=0),)
else:
results = []
if not isinstance(text, list):
text = [text]
for t in text:
text_img = render_text(t)
result = Image.alpha_composite(base_img, text_img)
results.append(result)
return (pil2tensor(results),)
text_img = render_text(text)
result = Image.alpha_composite(base_img, text_img)
return (pil2tensor(result),)
__nodes__ = [
+8 -151
View File
@@ -6,7 +6,7 @@ import urllib.request
from math import pi
from typing import Any
import comfy.model_management as mm
import comfy.model_management as model_management
import comfy.utils
import numpy as np
import torch
@@ -16,10 +16,8 @@ from PIL import Image
from ..log import log
from ..utils import (
EASINGS,
LazyProxyTensor,
apply_easing,
get_server_info,
get_torch_tensor_info,
numpy_NFOV,
pil2tensor,
tensor2np,
@@ -129,9 +127,6 @@ class MTB_ApplyTextTemplate:
"required": {
"template": ("STRING", {"default": "", "multiline": True}),
},
"optional":{
"strip": ("BOOLEAN", {"default": True}),
},
}
RETURN_TYPES = ("STRING",)
@@ -139,70 +134,12 @@ class MTB_ApplyTextTemplate:
CATEGORY = "mtb/utils"
FUNCTION = "execute"
def execute(self, *, strip:bool,template: str, **kwargs) -> tuple[str | list[str]]:
keys = list(kwargs.keys())
values = list(kwargs.values())
def execute(self, *, template: str, **kwargs):
res = f"{template}"
for k, v in kwargs.items():
res = res.replace(f"{{{k}}}", f"{v}")
has_list = any(isinstance(v, list) for v in values)
target_length = -1
if has_list:
first_list = next(x for x in values if isinstance(x, list))
# all_list = all(isinstance(x, list) for x in kwargs.values())
# if not all_list:
# raise ValueError(
# "Text template supports either str or list[str] but not a mix of the two (yet?)"
# )
target_length = len(first_list)
same_length = all(
len(v) == target_length for v in values if isinstance(v, list)
)
if not same_length:
raise ValueError(
"Text template received multiple list[str] but their size is varying, they should match..."
)
if has_list:
results = []
# do a padded loop, not the most efficient but easy
# to handle for now
for it in range(target_length):
res = f"{template}"
for k, v in kwargs.items():
if isinstance(v, list):
res = self.apply_res(res, k, v[it])
else:
res = self.apply_res(res, k, v)
if strip:
results.append(res.strip())
else:
results.append(res)
return (results,)
else:
res = f"{template}"
for k, v in kwargs.items():
res = self.apply_res(res, k, v)
if strip:
return (res.strip(),)
else:
return (res,)
def apply_res(self, res, key, value):
if isinstance(value, float):
value = f"{value:.3f}"
elif isinstance(value, torch.Tensor):
value = get_torch_tensor_info(value)
else:
log.debug(
f"Falling back to default string conversion for {key} of type {type(value).__name__}"
)
return res.replace(f"{{{key}}}", f"{value}")
return (res,)
class MTB_MatchDimensions:
@@ -260,10 +197,7 @@ class MTB_MatchDimensions:
class MTB_FloatToFloats:
"""Conversion utility for compatibility with other extensions.
AD, IPA, Fitz, KJ are using FLOAT to represent list of floats.
"""
"""Conversion utility for compatibility with other extensions (AD, IPA, Fitz are using FLOAT to represent list of floats.)"""
@classmethod
def INPUT_TYPES(cls):
@@ -281,26 +215,6 @@ class MTB_FloatToFloats:
def convert(self, float: float):
return (float,)
class MTB_FloatsToFloatList:
"""Turn a FLOATS type into a list of floats (for loops)."""
@classmethod
def INPUT_TYPES(cls):
return {
"required": {
"floats": ("FLOATS", { "forceInput": True }),
}
}
RETURN_TYPES = ("FLOAT",)
RETURN_NAMES = ("float",)
OUTPUT_IS_LIST = (True,)
CATEGORY = "mtb/utils"
FUNCTION = "convert"
def convert(self, floats: list[float]):
return (floats,)
class MTB_FloatsToInts:
"""Conversion utility for compatibility with frame interpolation."""
@@ -429,7 +343,7 @@ class MTB_AutoPanEquilateral:
frames.append(frame)
mm.throw_exception_if_processing_interrupted()
model_management.throw_exception_if_processing_interrupted()
pbar.update(1)
return (pil2tensor(frames),)
@@ -1002,61 +916,6 @@ class MTB_BooleanNot:
return (not bool_in,)
class MTB_ProxyTensor:
"""Wraps an input tensor into a LazyProxyTensor.
builds upon an idea by @AustinMroz
"""
NODE_NAME = "ProxyTensor"
NODE_DISPLAY_NAME = "Proxy Tensor"
@classmethod
def INPUT_TYPES(cls):
return {
"required": {
"tensor": ("IMAGE",),
"target_dtype": (
["float32", "float16", "bfloat16"],
{"default": "float32"},
),
"target_device": (
["keep", "cpu", "gpu"],
{
"default": "keep",
"tooltip": "CAUTION: This isn't compatible with most nodes for now",
},
),
}
}
RETURN_TYPES = ("IMAGE",)
RETURN_NAMES = ("proxy_tensor",)
FUNCTION = "execute"
CATEGORY = "mtb/utils"
def execute(
self,
tensor: torch.Tensor,
target_dtype: str = "float32",
target_device: str = "keep",
):
torch_dtype: torch.dtype = getattr(torch, target_dtype)
if target_device == "gpu":
torch_device = mm.get_torch_device()
elif target_device == "cpu":
torch_device = torch.device("cpu")
else:
torch_device = tensor.device
proxy = LazyProxyTensor(tensor, torch_dtype, torch_device)
log.info(f"Created Proxy Tensor: \n{proxy}")
return (proxy,)
__nodes__ = [
MTB_StringReplace,
MTB_FitNumber,
@@ -1070,10 +929,8 @@ __nodes__ = [
MTB_AutoPanEquilateral,
MTB_FloatsToFloat,
MTB_FloatToFloats,
MTB_FloatsToFloatList,
MTB_FloatsToInts,
MTB_TensorOps,
MTB_BooleanNot,
MTB_GetItem,
MTB_ProxyTensor,
]
+30 -5
View File
@@ -683,6 +683,7 @@ class MTB_ImageCompare:
import requests
import time
class MTB_LoadImageFromUrl:
@@ -698,6 +699,14 @@ class MTB_LoadImageFromUrl:
"default": "https://upload.wikimedia.org/wikipedia/commons/thumb/a/a7/Example.jpg/800px-Example.jpg"
},
),
"retry_count": (
"INT",
{"default": 3, "min": 1, "max": 20, "step": 1},
),
"retry_interval": (
"FLOAT",
{"default": 1.0, "min": 0.0, "max": 60.0, "step": 0.1},
),
}
}
@@ -705,11 +714,27 @@ class MTB_LoadImageFromUrl:
FUNCTION = "load"
CATEGORY = "mtb/IO"
def load(self, url):
# get the image from the url
image = Image.open(requests.get(url, stream=True).raw)
image = ImageOps.exif_transpose(image)
return (pil2tensor(image),)
def load(self, url, retry_count, retry_interval):
# get the image from the url with retry + exponential backoff
last_error = None
for attempt in range(retry_count):
try:
response = requests.get(url, stream=True)
response.raise_for_status()
image = Image.open(response.raw)
image = ImageOps.exif_transpose(image)
return (pil2tensor(image),)
except Exception as e:
last_error = e
if attempt == retry_count - 1:
raise
wait_seconds = retry_interval * (2**attempt)
if wait_seconds > 0:
time.sleep(wait_seconds)
if last_error is not None:
raise last_error
raise RuntimeError("Failed to load image from URL without captured exception")
class MTB_Blur:
-52
View File
@@ -1,8 +1,5 @@
import node_helpers
import torch
from ..log import log
class MTB_LatentLerp:
"""Linear interpolation (blend) between two latent vectors"""
@@ -23,9 +20,6 @@ class MTB_LatentLerp:
RETURN_TYPES = ("LATENT",)
FUNCTION = "lerp_latent"
# should fix or remove
DEPRECATED = True
CATEGORY = "mtb/latent"
def lerp_latent(self, A, B, t):
@@ -37,52 +31,6 @@ class MTB_LatentLerp:
return (a,)
class MTB_ReferenceLatents:
@classmethod
def INPUT_TYPES(cls):
return {
"required": {
"positive": ("CONDITIONING",),
"negative": ("CONDITIONING",),
"vae": ("VAE",),
},
}
RETURN_TYPES = ("CONDITIONING", "CONDITIONING")
RETURN_NAMES = ("positive", "negative")
FUNCTION = "execute"
CATEGORY = "mtb/latent"
def execute(self, positive, negative, vae, **kwargs):
if not kwargs:
raise ValueError("At least one image must be provided.")
image_refs = list(kwargs.values())
# device = image_refs[0].device
for im in image_refs:
# encode
log.debug("Encoding reference image to latents")
log.debug(f"Image shape: {im.shape}")
latent = vae.encode(im)
if positive is not None:
positive = node_helpers.conditioning_set_values(
positive,
{"reference_latents": [latent]},
append=True,
)
if negative is not None:
negative = node_helpers.conditioning_set_values(
negative,
{"reference_latents": [latent]},
append=True,
)
return (positive, negative)
__nodes__ = [
MTB_LatentLerp,
MTB_ReferenceLatents,
]
+4 -16
View File
@@ -1,14 +1,6 @@
from ..utils import hex_to_rgb
# from ..utils import hex_to_rgb
class MTB_ColorInput:
RETURN_TYPES = ("COLOR","STRING","STRING")
RETURN_NAMES = ("color","hex","r,g,b")
OUTPUT_TOOLTIPS = (
"Color in mtb format (internaly just a hex string)",
"Hex color string",
"RGB values as comma-separated string",
)
RETURN_TYPES = ("COLOR",)
FUNCTION = "color"
CATEGORY = "mtb/color"
@@ -18,12 +10,8 @@ class MTB_ColorInput:
"required": {"color": ("MTB_COLOR", {"default": "#ffffff"})},
}
def color(self, color:str):
# convert hex to rgb
r, g, b = hex_to_rgb(color)
# TODO: official COLOR will be without the #
return (color,color,f"{r},{g},{b}")
def color(self, color):
return (color,)
__nodes__ = [MTB_ColorInput]
-69
View File
@@ -1,69 +0,0 @@
import comfy.sd
import comfy.utils
import folder_paths
class MTB_LoraLoaderModelOnlyByPath:
def __init__(self):
self.loaded_lora = None
@classmethod
def INPUT_TYPES(cls):
all_loras = folder_paths.get_filename_list("loras")
return {
"required": {
"model": ("MODEL",),
"lora_name": (
"STRING",
{"default": next(iter(all_loras), "no lora found")},
),
"strength_model": (
"FLOAT",
{
"default": 1.0,
"min": -100.0,
"max": 100.0,
"step": 0.01,
},
),
}
}
RETURN_TYPES = ("MODEL",)
OUTPUT_TOOLTIPS = ("The modified diffusion model.",)
CATEGORY = "mtb/lora"
FUNCTION = "load_lora_model_only"
DESCRIPTION = "Exact copy of the native node using string instead of combo, useful to 'build' paths from the graph."
def load_lora_model_only(self, model, lora_name, strength_model):
return (self.load_lora(model, None, lora_name, strength_model, 0)[0],)
def load_lora(self, model, clip, lora_name, strength_model, strength_clip):
if strength_model == 0 and strength_clip == 0:
return (model, clip)
# all_loras = folder_paths.get_filename_list("loras")
# if lora_name not in all_loras:
# raise ValueError(f"{lora_name} not in {folder_paths.get_filename_list('loras')}")
lora_path = folder_paths.get_full_path_or_raise("loras", lora_name)
lora = None
if self.loaded_lora is not None:
if self.loaded_lora[0] == lora_path:
lora = self.loaded_lora[1]
else:
self.loaded_lora = None
if lora is None:
lora = comfy.utils.load_torch_file(lora_path, safe_load=True)
self.loaded_lora = (lora_path, lora)
model_lora, clip_lora = comfy.sd.load_lora_for_models(
model, clip, lora, strength_model, strength_clip
)
return (model_lora, clip_lora)
__nodes__ = [MTB_LoraLoaderModelOnlyByPath]
+1 -1
View File
@@ -145,7 +145,7 @@ class MTB_ModelPatchSeamless:
tilingX,
tilingY,
):
hacked_model = copy.deepcopy(model)
hacked_model = model.clone()
self.apply_circular(
hacked_model.model, startStep, stopStep, tilingX, tilingY
)
-68
View File
@@ -1,68 +0,0 @@
class MTB_PromptPresets:
RETURN_TYPES = ("STRING",)
OUTPUT_IS_LIST = (True,)
FUNCTION = "enprompt"
CATEGORY = "mtb/prompt"
EXPERIMENTAL = True
_all_prompts = {}
@classmethod
def INPUT_TYPES(cls):
from ..utils import comfy_dir
import json
cls._all_prompts = {}
prompt_dir = comfy_dir / "prompts"
if prompt_dir.exists():
json_files = prompt_dir.glob("*.json")
# merge them
for json_file in json_files:
try:
with open(json_file, 'r', encoding='utf-8') as f:
data = json.load(f)
if isinstance(data, list):
for item in data:
if isinstance(item, dict) and 'name' in item and 'prompts' in item:
name = item['name']
prompts = item['prompts']
if isinstance(prompts, list):
cls._all_prompts[name] = prompts
except Exception as e:
print(f"Error loading prompts from {json_file}: {e}")
return {
"required": {
"name": (list(cls._all_prompts.keys()) if cls._all_prompts else ["No prompts found"],),
"size": ("INT", {"default": -1, "min": -1, "max": 100, "step": 1}),
"random": ("BOOLEAN", {"default": False}),
},
"optional": {
"seed": ("INT", {"default": 0, "min": 0, "max": 0xffffffffffffffff}),
},
}
def enprompt(self, name, size, random, seed=None):
import random as rand
if name not in self._all_prompts:
return ([],)
prompts = self._all_prompts[name].copy()
if random:
if seed is not None or seed != -1:
rand.seed(seed)
else:
import time
rand.seed(int(time.time() * 1000000) % 0xffffffffffffffff)
rand.shuffle(prompts)
# Return all prompts
if size == -1:
return (prompts,)
else:
clamped_size = min(size, len(prompts))
return (prompts[:clamped_size],)
__nodes__ = [MTB_PromptPresets]
-105
View File
@@ -1,105 +0,0 @@
import textwrap
from comfy.comfy_types import IO
from ..repl import SOCKET_COUNT, ComfyREPLBackend
from ..utils import log
class MTB_Repl:
"""Write python code from within a comfy graph."""
@classmethod
def INPUT_TYPES(cls):
return {
"required": {
"uuid": ("STRING",),
"code": ("CODE_EDITOR", {"lang": "python"}),
},
"optional": {
f"input_{i:02d}": (IO.ANY,) for i in range(1, SOCKET_COUNT + 1)
}
| {
"reset": (
"BOOLEAN",
{
"default": True,
"label_on": "reset state at each run",
"label_off": "keep mutated state",
},
),
"propagate": (
"BOOLEAN",
{
"default": True,
"label_on": "allow",
"label_off": "block forward",
},
),
},
}
EXPERIMENTAL = True
RETURN_TYPES = tuple(IO.ANY for _ in range(SOCKET_COUNT))
RETURN_NAMES = tuple(f"output_{i:02d}" for i in range(1, SOCKET_COUNT + 1))
FUNCTION = "run"
CATEGORY = "mtb/repl"
OUTPUT_NODE = True
# @classmethod
# def IS_CHANGED(cls, code: str, **kwargs):
# code_hash = hashlib.sha256(code.encode("utf-8")).hexdigest()
# return code_hash
# TODO: hide uuid from the frontend
# same for propagate, it should be managed from our run button in js
def run(
self, *, uuid: str, code: str, reset=False, propagate=True, **kwargs
):
log.debug(f"Received code from frontend:\n{code}")
log.debug(f"Kwargs: {kwargs}")
repl_backend = ComfyREPLBackend()
console = repl_backend.get_console(uuid, reset=reset)
if not console:
# TODO: handle this case automatically
raise RuntimeError(
textwrap.dedent(f"""
No matching console found for {uuid}
active console: {ComfyREPLBackend.active_consoles}
""")
)
inputs = list(kwargs.values())
console.locals["IS_LIVE"] = False
ui = repl_backend.execute_code(
code,
console=console,
inputs=inputs,
# , reset=True
)
if ui is None:
ui = {"output_html": [""], "error": [""]}
else:
ui = {"output_html": [ui["output_html"]], "error": [ui["error"]]}
# process outputs
outputs = repl_backend.get_outputs(console=console)
log.debug(ui)
# return outputs
if propagate:
results = tuple(outputs)
else:
from comfy_execution.graph import ExecutionBlocker
results = [ExecutionBlocker(None)] * SOCKET_COUNT
return {"ui": ui, "result": results}
__nodes__ = [MTB_Repl]
-267
View File
@@ -1,267 +0,0 @@
import logging
import numpy as np
import torch
def lerp(v0, v1, t):
return v0 * (1.0 - t) + v1 * t
def interpolate_box(box1, box2, t):
"""Linearly interpolate between two boxes (tuples of 4 ints)."""
if box1 is None or box2 is None:
return None
x1 = lerp(box1[0], box2[0], t)
y1 = lerp(box1[1], box2[1], t)
x2 = lerp(box1[2], box2[2], t)
y2 = lerp(box1[3], box2[3], t)
return (int(x1), int(y1), int(x2), int(y2))
class MTB_FaceMeshBatchToSEGSAndFill:
@classmethod
def INPUT_TYPES(s):
bool_true_widget = (
"BOOLEAN",
{"default": True, "label_on": "Enabled", "label_off": "Disabled"},
)
bool_false_widget = (
"BOOLEAN",
{"default": False, "label_on": "Enabled", "label_off": "Disabled"},
)
return {
"required": {
"image": ("IMAGE",),
"interpolation": (
["linear", "hold_last"],
{"default": "linear"},
),
"fill_shape": (
["interpolate_contour", "bbox"],
{"default": "interpolate_contour"},
),
"crop_factor": (
"FLOAT",
{"default": 3.0, "min": 1.0, "max": 100, "step": 0.1},
),
"bbox_fill": (
"BOOLEAN",
{
"default": False,
"label_on": "enabled",
"label_off": "disabled",
},
),
"drop_size": (
"INT",
{"min": 1, "max": 8192, "step": 1, "default": 1},
),
"dilation": (
"INT",
{"default": 0, "min": -512, "max": 512, "step": 1},
),
"face": bool_true_widget,
"mouth": bool_false_widget,
"left_eyebrow": bool_false_widget,
"left_eye": bool_false_widget,
"left_pupil": bool_false_widget,
"right_eyebrow": bool_false_widget,
"right_eye": bool_false_widget,
"right_pupil": bool_false_widget,
}
}
RETURN_TYPES = ("SEGS",)
FUNCTION = "generate_and_fill"
CATEGORY = "ImpactPack/Operation"
def generate_and_fill(
self,
image,
interpolation,
fill_shape,
crop_factor,
bbox_fill,
drop_size,
dilation,
face,
mouth,
left_eyebrow,
left_eye,
left_pupil,
right_eyebrow,
right_eye,
right_pupil,
):
import cv2
import impact.core as core
total_frames = image.shape[0]
logging.info(
f"[FaceMesh Batch & Fill] Starting. Processing {total_frames} frames. Mode: {interpolation}/{fill_shape}."
)
all_labels_found = set()
structured_segs = {}
for i in range(total_frames):
single_frame_batch = image[i : i + 1]
_, segs_for_this_frame = core.mediapipe_facemesh_to_segs(
single_frame_batch,
crop_factor,
bbox_fill,
50,
drop_size,
dilation,
face,
mouth,
left_eyebrow,
left_eye,
left_pupil,
right_eyebrow,
right_eye,
right_pupil,
)
for seg in segs_for_this_frame:
if seg.label not in all_labels_found:
all_labels_found.add(seg.label)
structured_segs[seg.label] = [None] * total_frames
structured_segs[seg.label][i] = seg
for label, timeline in structured_segs.items():
if interpolation == "linear":
last_valid_idx = -1
for i in range(total_frames):
if timeline[i] is not None:
if i > last_valid_idx + 1 and last_valid_idx != -1:
start_seg, end_seg = (
timeline[last_valid_idx],
timeline[i],
)
gap_size = i - last_valid_idx
for j in range(1, gap_size):
t = j / float(gap_size)
new_bbox = interpolate_box(
start_seg.bbox, end_seg.bbox, t
)
new_crop = interpolate_box(
start_seg.crop_region,
end_seg.crop_region,
t,
)
if new_crop is None:
continue
crop_h, crop_w = (
new_crop[3] - new_crop[1],
new_crop[2] - new_crop[0],
)
if crop_h <= 0 or crop_w <= 0:
continue
new_mask = None
if fill_shape == "interpolate_contour":
start_mask = start_seg.cropped_mask
end_mask = end_seg.cropped_mask
start_resized = cv2.resize(
start_mask,
(crop_w, crop_h),
interpolation=cv2.INTER_LINEAR,
)
end_resized = cv2.resize(
end_mask,
(crop_w, crop_h),
interpolation=cv2.INTER_LINEAR,
)
new_mask = lerp(
start_resized, end_resized, t
)
else:
new_mask = np.ones(
(crop_h, crop_w), dtype=np.float32
)
timeline[last_valid_idx + j] = core.SEG(
None,
new_mask,
1.0,
new_crop,
new_bbox,
label,
None,
)
last_valid_idx = i
last_valid_seg = None
for i in range(total_frames):
if timeline[i] is not None:
last_valid_seg = timeline[i]
elif last_valid_seg is not None:
timeline[i] = last_valid_seg
if last_valid_seg is not None:
for i in range(total_frames - 1, -1, -1):
if timeline[i] is not None:
last_valid_seg = timeline[i]
elif last_valid_seg is not None:
timeline[i] = last_valid_seg
final_segs_by_frame = [[] for _ in range(total_frames)]
for label in sorted(list(all_labels_found)):
timeline = structured_segs[label]
for i in range(total_frames):
if timeline[i] is not None:
final_segs_by_frame[i].append(timeline[i])
original_dims = (image.shape[1], image.shape[2])
final_segs_object = (original_dims, final_segs_by_frame)
logging.info(
f"[FaceMesh Batch & Fill] Completed. Processed {len(final_segs_by_frame)} frames."
)
return (final_segs_object,)
class MTB_SegsToCombinedMaskBatch:
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"segs": ("SEGS",),
}
}
RETURN_TYPES = ("MASK",)
FUNCTION = "doit"
CATEGORY = "ImpactPack/Operation"
def doit(self, segs):
import impact.core as core
import impact.utils as utils
outputs = []
if isinstance(segs[1], list) and len(segs[1]):
if isinstance(segs[1][0], list):
for seg in segs[1]:
mask = core.segs_to_combined_mask((segs[0], seg))
mask = utils.make_3d_mask(mask)
outputs.append(mask)
return (
torch.stack(outputs, dim=0)
.permute(0, 2, 3, 1)
.squeeze(-1),
)
else:
mask = core.segs_to_combined_mask(segs)
mask = utils.make_3d_mask(mask)
return (mask,)
return (torch.zeros((0, 10, 10, 1)),)
__nodes__ = [MTB_FaceMeshBatchToSEGSAndFill, MTB_SegsToCombinedMaskBatch]
+1 -1
View File
@@ -27,7 +27,7 @@ class MTB_LoadVitMatteModel:
def execute(self, *, kind: str, autodownload: bool):
dest = models_dir / "vitmatte"
dest.mkdir(exist_ok=True)
name = "dist" if kind == "Distinctions-646" else "com"
name = "dis" if kind == "Distinctions-646" else "com"
file = hf_hub_download(
repo_id="melmass/pytorch-scripts",
+40 -10
View File
@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
[project]
name = "comfy-mtb"
version = "0.6.0"
version = "0.5.4"
description = "Animation oriented nodes pack for ComfyUI."
license = { text = "MIT" }
readme = "README.md"
@@ -62,6 +62,39 @@ PublisherId = "mel"
DisplayName = "comfy-mtb"
Icon = "https://avatars.githubusercontent.com/u/7041726?v=4"
[tool.bumpversion]
current_version = "0.5.1"
parse = "(?P<major>\\d+)\\.(?P<minor>\\d+)\\.(?P<patch>\\d+)"
serialize = ["{major}.{minor}.{patch}"]
search = "{current_version}"
replace = "{new_version}"
regex = false
ignore_missing_version = false
ignore_missing_files = false
tag = true
sign_tags = true
tag_name = "v{new_version}"
tag_message = "⬆️ Bump version: {current_version} → {new_version}"
allow_dirty = true
commit = true
message = "⬆️ Bump version: {current_version} → {new_version}"
commit_args = ""
[[tool.bumpversion.files]]
filename = "__init__.py"
search = "__version__ = \"{current_version}\""
replace = "__version__ = \"{new_version}\""
[[tool.bumpversion.files]]
filename = "pyproject.toml"
search = "version = \"{current_version}\""
replace = "version = \"{new_version}\""
# [[tool.bumpversion.files]]
# filename = "your_package/__init__.py"
# search = "__version__ = '{current_version}'"
# replace = "__version__ = '{new_version}'"
# INFO: All those remaining keys are meant for local dev
[tool.pyright]
include = ["."]
@@ -70,27 +103,26 @@ exclude = [
"**/__pycache__",
"src/experimental",
"src/typestubs",
"extern/",
]
ignore = ["src/oldstuff"]
defineConstant = { DEBUG = true }
extraPaths = ["python", "../..", "../ComfyUI-Impact-Pack/modules"]
extraPaths = ["python", "../.."]
stubPath = "src/stubs"
reportMissingImports = true
reportMissingTypeStubs = false
reportExplicitAny = false
typeCheckingMode = "basic"
pythonVersion = "3.11"
pythonPlatform = "Windows"
pythonVersion = "3.10"
pythonPlatform = "Windows"
[tool.pytest.ini_options]
log_level = "DEBUG"
log_cli = true
markers = [
"wip: tests that aren't fully finished yet",
'''heavy: marks tests as heavy (deselect with '-m "not heavy"')''',
"heavy: marks tests as heavy (deselect with '-m \"not heavy\"')",
]
filterwarnings = ["ignore::UserWarning", 'ignore::DeprecationWarning']
@@ -126,10 +158,8 @@ select = ["A", "B", "C", "D", "E", "F", "FBT", "I", "N", "S", "SIM", "UP", "W"]
# D102 - undocumented-public-method (noisy)
# D103 - undocumented-public-function (noisy)
# D100 - undocumented-public-module (noisy)
# D101 - undocumented-public-class (kept for DESCRIPTION definitions)
# N801 - classname should use CapWord (forced by mtb registration (for now))
# N802 - invalid-function-name (forced by comfy's arch)
ignore = ["D103", "D102", "D100", "N801", "N802"]
ignore = ["D103", "D102", "D100", "N802"]
[tool.ruff.lint.per-file-ignores]
# imported but unused
+18
View File
@@ -0,0 +1,18 @@
{
"exclude": [
"**/node_modules",
"**/__pycache__",
],
"ignore": [
"extern"
],
"defineConstant": {
"DEBUG": true
},
"venvPath": "../../../.venv/",
"reportMissingImports": true,
"reportMissingTypeStubs": false,
"pythonVersion": "3.10",
"pythonPlatform": "All",
"reportOptionalMemberAccess": "none"
}
-1101
View File
File diff suppressed because it is too large Load Diff
+5 -224
View File
@@ -8,14 +8,11 @@ import shutil
import socket
import subprocess
import sys
import textwrap
import uuid
import warnings
from collections.abc import Callable, Sequence
from enum import Enum
from functools import reduce
from pathlib import Path
from types import EllipsisType
from typing import TypeVar
from urllib.parse import urlparse
@@ -53,35 +50,6 @@ def make_report():
# endregion
# region decorators
class classproperty:
def __init__(self, method=None):
self.fget = method
def __get__(self, instance, cls=None):
if self.fget:
return self.fget(cls)
def getter(self, method):
self.fget = method
return self
def singleton(cls):
"""Turn a class into a singleton."""
instances = {}
def get_instance(*args, **kwargs):
if cls not in instances:
instances[cls] = cls(*args, **kwargs)
return instances[cls]
return get_instance
# endregion
# region NFOV
class numpy_NFOV:
def __init__(self, fov=None, height: int = 400, width: int = 800):
@@ -493,6 +461,8 @@ def _run_command(shell_cmd, ignored_lines_start):
print("Command executed successfully!")
# endregion
@@ -556,195 +526,6 @@ PIL_FILTER_MAP = {
# region TENSOR Utilities
class LazyProxyTensor:
"""Memory-efficient proxy that wrap a tensor but presents itself as a different dtype (e.g., float32).
It mimics a torch.Tensor's read-only attributes and methods. Data conversion
and normalization happen lazily on access (e.g., via slicing), avoiding
the high memory cost of a full conversion.
Supported source dtypes:
- torch.uint8 (normalized from [0, 255])
- torch.uint16 (normalized from [0, 65535])
- All float types (passed through, assumed to be in [0, 1] range)"
"""
_source_tensor: torch.Tensor
_target_dtype: torch.dtype
_target_element_size: int
_scale_divisor: float
_warned_inefficient_access: bool
def __init__(
self, source_tensor, target_dtype=torch.float32, target_device=None
):
if not isinstance(source_tensor, torch.Tensor):
raise ValueError("Input must be a torch.Tensor.")
self._source_tensor = source_tensor
self._target_dtype = target_dtype
self._target_device = (
target_device
if target_device is not None
else source_tensor.device
)
# Determine the normalization divisor based on source dtype
# fmt: off
if source_tensor.dtype == torch.uint8: self._scale_divisor = 255.0
elif source_tensor.dtype == torch.uint16: self._scale_divisor = 65535.0
elif torch.is_floating_point(source_tensor): self._scale_divisor = 1.0
else: raise ValueError(f"Unsupported source dtype for LazyProxyTensor: {source_tensor.dtype}")
# fmt: on
self._target_element_size = torch.empty(
(), dtype=self._target_dtype
).element_size()
self._warned_inefficient_access = False
def is_contiguous(self, *args, **kwargs):
return self._source_tensor.is_contiguous(*args, **kwargs)
def stride(self, *args, **kwargs):
return self._source_tensor.stride(*args, **kwargs)
@property
def shape(self):
return self._source_tensor.shape
@property
def requires_grad(self):
return False
def nelement(self):
"""Return the total number of elements in the (pretend) tensor."""
return self._source_tensor.nelement()
def element_size(self):
"""Return the size in bytes of an individual (pretend) float element."""
return self._target_element_size
@property
def dtype(self):
return self._target_dtype
@property
def device(self):
return self._target_device
def __len__(self):
return self._source_tensor.shape[0]
def __getitem__(self, key):
if (
self._source_tensor.device != self._target_device
and not self._warned_inefficient_access
):
warnings.warn(
"Inefficient access pattern detected for LazyProxyTensor. "
"You are slicing a device-proxied tensor, which causes slow, "
"repeated data transfers. For performance, use the .iter_chunks() method."
)
self._warned_inefficient_access = True
subset = self._source_tensor[key]
return (
subset.to(self._target_device).to(self._target_dtype)
/ self._scale_divisor
)
# def __iter__(self):
# for i in range(len(self)):
# yield self[i]
def iter_chunks(self, chunk_size=16):
for i in range(0, len(self), chunk_size):
chunk = self._source_tensor[i : i + chunk_size]
yield (
chunk.to(self._target_device, non_blocking=True).to(
self._target_dtype
)
/ self._scale_divisor
)
def squeeze(self, dim: str | EllipsisType | None = None):
squeezed = self._source_tensor.squeeze(dim)
return LazyProxyTensor(squeezed, self._target_dtype)
def unsqueeze(self, dim: int = 0):
unsqueezed = self._source_tensor.unsqueeze(dim)
return LazyProxyTensor(unsqueezed, self._target_dtype)
def repeat(self, *sizes):
repeated = self._source_tensor.repeat(*sizes)
return LazyProxyTensor(repeated, self._target_dtype)
def _format_mem_size(self, mem_bytes):
if mem_bytes > 1e9:
return f"{mem_bytes / 1e9:.2f} GB"
if mem_bytes > 1e6:
return f"{mem_bytes / 1e6:.2f} MB"
if mem_bytes > 1e3:
return f"{mem_bytes / 1e3:.2f} KB"
return f"{mem_bytes} B"
def __repr__(self):
actual_info = get_torch_tensor_info(self._source_tensor, name="Source")
target_info = get_torch_tensor_info(self, name="Target")
info = f"""
{target_info}
{actual_info}
"""
return textwrap.dedent(info).strip()
def get_torch_tensor_info(
tensor: torch.Tensor | LazyProxyTensor | np.ndarray,
*,
name: str | None = None,
):
mem_str = "N/A"
is_tensor = isinstance(tensor, torch.Tensor | LazyProxyTensor)
if is_tensor:
mem_bytes = tensor.element_size() * tensor.nelement()
else:
mem_bytes = tensor.itemsize * tensor.size
if mem_bytes > 1e9:
mem_str = f"{mem_bytes / 1e9:.2f} GB"
elif mem_bytes > 1e6:
mem_str = f"{mem_bytes / 1e6:.2f} MB"
elif mem_bytes > 1e3:
mem_str = f"{mem_bytes / 1e3:.2f} KB"
else:
mem_str = f"{mem_bytes} B"
device = "N/A"
grad = "False"
type_name = name or "Tensor" if is_tensor else "Numpy Array"
if is_tensor:
device = tensor.device
grad = str(tensor.requires_grad)
text = f"""
{type_name}
shape: {tensor.shape}
dtype: {str(tensor.dtype).replace("torch.", "")}
device: {device}
requires grad: {grad}
memory: {mem_str}
"""
return textwrap.dedent(text).strip()
def to_numpy(image: torch.Tensor) -> npt.NDArray[np.uint8]:
"""Converts a tensor to a ndarray with proper scaling and type conversion."""
np_array = np.clip(255.0 * image.cpu().numpy(), 0, 255).astype(np.uint8)
@@ -755,12 +536,12 @@ def handle_batch(
tensor: torch.Tensor,
func: Callable[[torch.Tensor], Image.Image | npt.NDArray[np.uint8]],
) -> list[Image.Image] | list[npt.NDArray[np.uint8]]:
"""Handle batch processing for a given tensor and conversion function."""
"""Handles batch processing for a given tensor and conversion function."""
return [func(tensor[i]) for i in range(tensor.shape[0])]
def tensor2pil(tensor: torch.Tensor) -> list[Image.Image]:
"""Convert a batch of tensors to a list of PIL Images."""
"""Converts a batch of tensors to a list of PIL Images."""
def single_tensor2pil(t: torch.Tensor) -> Image.Image:
np_array = to_numpy(t)
@@ -777,7 +558,7 @@ def tensor2pil(tensor: torch.Tensor) -> list[Image.Image]:
def pil2tensor(images: Image.Image | list[Image.Image]) -> torch.Tensor:
"""Convert a PIL Image or a list of PIL Images to a tensor."""
"""Converts a PIL Image or a list of PIL Images to a tensor."""
def single_pil2tensor(image: Image.Image) -> torch.Tensor:
np_image = np.array(image).astype(np.float32) / 255.0
-47
View File
@@ -1,47 +0,0 @@
import { app } from "../../scripts/app.js";
app.registerExtension({
name: "PromptAlchemy.Bridge",
setup() {
// Listen for messages from parent window
window.addEventListener('message', async (event) => {
// Optionally verify origin
const { type, ...payload } = event.data || {};
switch (type) {
case 'loadWorkflow':
await app.loadGraphData(payload.workflow);
this.sendToParent({ type: 'workflowLoaded' });
break;
case 'getWorkflow':
const workflow = app.graph.serialize();
this.sendToParent({ type: 'workflow', workflow });
break;
case 'queuePrompt':
app.queuePrompt(0); // 0 = front of queue
break;
case 'getPrompt':
const prompt = await app.graphToPrompt();
this.sendToParent({ type: 'prompt', prompt });
break;
}
});
console.log("Alchemy Bridge Extension Loaded");
// Notify parent we're ready
this.sendToParent({ type: 'ready' });
},
sendToParent(data) {
if (window.parent !== window) {
window.parent.postMessage(data, '*');
}
}
});
+1168 -6
View File
File diff suppressed because it is too large Load Diff
+86 -67
View File
@@ -11,12 +11,7 @@
/// <reference path="../types/typedefs.js" />
import { app } from '../../scripts/app.js'
import {
setupDynamicConnections,
cleanupNode,
infoLogger,
} from './comfy_shared.js'
import * as shared from './comfy_shared.js'
import * as mtb_ui from './mtb_ui.js'
function escapeHtml(unsafe) {
@@ -50,25 +45,25 @@ function createDebugSection(title) {
return section
}
function createDebugContent(item) {
function createDebugContent(content, type) {
const wrapper = mtb_ui.makeElement('div', {
margin: '4px 0',
})
if (item.kind === 'text') {
const text = mtb_ui.makeElement('div', {
if (type === 'text') {
const text = mtb_ui.makeElement('p', {
margin: '2px 0',
fontFamily: 'monospace',
whiteSpace: 'pre-wrap',
})
text.innerHTML = item.data
text.innerHTML = content
wrapper.appendChild(text)
} else if (item.kind === 'b64_images') {
} else if (type === 'image') {
const img = mtb_ui.makeElement('img', {
width: '100%',
borderRadius: '2px',
})
img.src = item.data
img.src = content
wrapper.appendChild(img)
}
@@ -85,85 +80,110 @@ app.registerExtension({
*/
async beforeRegisterNodeDef(nodeType, nodeData, app) {
if (nodeData.name === 'Debug (mtb)') {
const clear_widgets = (target) => {
if (target.widgets) {
let tgt_len = target.widgets.length
for (let i = 0; i < target.widgets.length; i++) {
if (
![
'output_to_console',
'deep_inspect',
'as_detailed_types',
'rich_mode',
].includes(target.widgets[i].name)
) {
target.widgets[i].onRemove?.()
target.widgets[i].onRemoved?.()
tgt_len -= 1
}
}
target.widgets.length = tgt_len
}
const onNodeCreated = nodeType.prototype.onNodeCreated
nodeType.prototype.onNodeCreated = function (...args) {
this.options = {}
const r = onNodeCreated ? onNodeCreated.apply(this, args) : undefined
this.addInput('anything_1', '*')
return r
}
const original_getExtraMenuOptions =
nodeType.prototype.getExtraMenuOptions
nodeType.prototype.getExtraMenuOptions = function (_, options) {
original_getExtraMenuOptions?.apply(this, arguments)
options.push({
content: '🐛 Clear Outputs',
callback: async () => {
clear_widgets(this)
},
const onConnectionsChange = nodeType.prototype.onConnectionsChange
/**
* @param {OnConnectionsChangeParams} args
*/
nodeType.prototype.onConnectionsChange = function (...args) {
const [_type, index, connected, link_info, ioSlot] = args
const r = onConnectionsChange
? onConnectionsChange.apply(this, args)
: undefined
// TODO: remove all widgets on disconnect once computed
shared.dynamic_connection(this, index, connected, 'anything_', '*', {
link: link_info,
ioSlot: ioSlot,
})
}
setupDynamicConnections(nodeType, 'var', '*')
//- infer type
if (link_info) {
// const fromNode = this.graph._nodes.find(
// (otherNode) => otherNode.id === link_info.origin_id,
// )
// const fromNode = app.graph.getNodeById(link_info.origin_id)
const { from } = shared.nodesFromLink(this, link_info)
if (!from || this.inputs.length === 0) return
const type = from.outputs[link_info.origin_slot].type
this.inputs[index].type = type
// this.inputs[index].label = type.toLowerCase()
}
//- restore dynamic input
if (!connected) {
this.inputs[index].type = '*'
this.inputs[index].label = `anything_${index + 1}`
}
return r
}
const onExecuted = nodeType.prototype.onExecuted
nodeType.prototype.onExecuted = function (...args) {
onExecuted?.apply(this, args)
const [data, ..._rest] = args
clear_widgets(this)
if (this.widgets) {
let tgt_len = this.widgets.length
for (let i = 0; i < this.widgets.length; i++) {
if (
this.widgets[i].name !== 'output_to_console' &&
this.widgets[i].name !== 'as_detailed_types'
) {
this.widgets[i].onRemove?.()
this.widgets[i].onRemoved?.()
tgt_len -= 1
}
}
this.widgets.length = tgt_len
}
const inputData = {}
const uiData = data.ui || data
const name_to_label = this.inputs.reduce((acc, input) => {
acc[input.name] = input.label || input.name
return acc
}, {})
if (uiData.items) {
uiData.items.forEach((item) => {
const inputName = item.input
inputData[inputName] = item.items
if (!inputData[inputName]) {
inputData[inputName] = { text: [], b64_images: [] }
}
if (item.text) {
inputData[inputName].text.push(...item.text)
}
if (item.b64_images) {
inputData[inputName].b64_images.push(...item.b64_images)
}
})
}
const mainDebugContainer = mtb_ui.makeElement('div', {
width: '100%',
})
let hasContent = false
let widgetI = 1
for (const [inputName, content] of Object.entries(inputData)) {
if (!content || content?.length === 0) {
if (content.text.length === 0 && content.b64_images.length === 0) {
continue
}
hasContent = true
const section = createDebugSection(name_to_label[inputName])
const section = createDebugSection(inputName)
for (const item of content) {
section.appendChild(createDebugContent(item))
if (content.text.length > 0) {
content.text.forEach((text) => {
section.appendChild(createDebugContent(text, 'text'))
})
}
mainDebugContainer.appendChild(section)
}
if (hasContent) {
this.addDOMWidget('debug_output', 'CUSTOM', mainDebugContainer, {
hideOnZoom: false,
})
if (content.b64_images.length > 0) {
content.b64_images.forEach((img) => {
section.appendChild(createDebugContent(img, 'image'))
})
}
this.addDOMWidget(`debug_section_${widgetI}`, 'CUSTOM', section, {})
widgetI++
}
this.onRemoved = function () {
@@ -174,9 +194,8 @@ app.registerExtension({
widget.onRemoved?.()
widget.onRemove?.()
}
cleanupNode(this)
shared.cleanupNode(this)
}
this.setDirtyCanvas(true, true)
}
}
},
-12
View File
@@ -1,12 +0,0 @@
/**
* MTB API Authoring Layer
* This file imports the compiled TypeScript bundle and registers the extension.
*
* The source code is in web_source/src/mtb_api/
* Build with: cd web_source && bun run build
*/
import { registerMtbApiExtension } from './dist/mtb_api.js'
// Register the extension with ComfyUI
registerMtbApiExtension()
-640
View File
@@ -1,640 +0,0 @@
import { app } from '../../scripts/app.js'
import * as shared from './comfy_shared.js'
import { errorLogger, infoLogger } from './comfy_shared.js'
import * as mtb_ui from './mtb_ui.js'
const defaultOptions = {
capabilities: {
execute: false,
},
lint: false,
mode: 'python',
theme: 'dracula',
}
// wrapper around ACE
export class MtbEditor {
setOptions(options) {
this.options = shared.deepMerge(defaultOptions, options || {})
if (
this.options.capabilities.execute === false &&
this.options.lint === true
) {
infoLogger('ME: Disabling lint because execute is disabled')
this.options.lint = false
}
if (this.options.lint) {
this.debouncedLint = shared.debounce(this.lintCode.bind(this), 500)
}
}
constructor(node, options) {
infoLogger('ME: construct')
this.uuid = shared.makeUUID()
this._code = ''
// sanitize options
this.setOptions(options)
this.setupUI()
infoLogger('ME: inputDiv', this.inputDiv)
if (node) {
infoLogger('ME: Hooking up parent node', shared.safe_json(node))
this.parentNode = node
const editor = this
infoLogger('ME: NODE', shared.safe_json(this.parentNode))
infoLogger(
'ME: NODE KEYS',
shared.safe_json(Object.keys(this.parentNode).sort()),
)
shared.chainCallback(this.parentNode, 'onExecuted', function (res) {
infoLogger('Executed', res)
const { error, output_html } = res
if (error[0]) {
editor.appendOutput(
`<div style="color: #f00; font-weight: bold;">Error:</div>${output_html[0]}`,
)
} else {
editor.appendOutput(output_html[0])
}
})
shared.chainCallback(this.parentNode, 'onConfigure', function (serial) {
shared
.infoLogger('ME Node: configure called', { node: this, serial })
.notify()
// editor.setCode(serial.properties.inputCode)
// if (serial.properties.uuid) {
// editor.uuid = serial.properties.uuid
// }
})
shared.chainCallback(this.parentNode, 'onRemoved', function (...serial) {
errorLogger('ME Node: removed called TODO', {
node: this,
serial,
})
})
shared.chainCallback(this.parentNode, 'onSerialize', function (serial) {
infoLogger('ME Node: serialize called', {
editor,
node: this,
serial,
})
// if (editor.aceEditor) {
// serial.properties.inputCode = editor.aceEditor.getValue()
// }
const uuid_widget = this.widgets.find((e) => e.name === 'uuid')
if (uuid_widget) {
if (uuid_widget.value) {
editor.uuid = uuid_widget.value
} else {
uuid_widget.value = editor.uuid
}
}
// serial.properties.inputHeightRatio = this.properties.inputHeightRatio
})
// shared.chainCallback(this.parentNode,"onResize", function(size) {
// editor.container.style.width = `${size[0] - 10}px` // Account for padding
// container.style.height = `${size[1] - 10}px`
//
// })
infoLogger('ME: callback setup on node')
this.debouncedUpdateNodeProperty = shared.debounce(() => {
if (this.aceEditor && this.parentNode) {
const currentCode = this.aceEditor.getValue()
// this.parentNode.setProperty('inputCode', currentCode)
this._widget.value = currentCode
infoLogger("ME: Node property 'inputCode' updated.")
}
}, 300)
}
this.loadAceEditor()
}
setupUI() {
this.container = mtb_ui.makeElement('div', {
boxSizing: 'border-box',
display: 'flex',
flexDirection: 'column',
fontFamily: 'monospace',
height: '100%',
padding: '5px',
width: '100%',
})
this.inputDiv = mtb_ui.makeElement(
'div',
{
// backgroundColor: '#333',
// color: '#eee',
// border: '1px solid #555',
// borderRadius: '4px',
// marginBottom: '5px',
boxSizing: 'border-box',
minHeight: '100px',
width: 'calc(100% - 10px)',
// overflow: 'hidden',
},
this.container,
)
if (this.options.capabilities.execute) {
this.handleDiv = mtb_ui.makeElement(
'div',
{
backgroundColor: '#666',
borderRadius: '2px',
cursor: 'ns-resize',
height: '5px',
marginBottom: '5px',
width: '100%',
},
this.container,
)
this.handleDiv.addEventListener(
'mousedown',
this.startResizing.bind(this),
)
const runButton = mtb_ui.makeElement(
'button',
{
backgroundColor: '#555',
border: 'none',
borderRadius: '4px',
color: '#fff',
cursor: 'pointer',
fontSize: '14px',
marginBottom: '5px',
padding: '8px',
width: '100%',
},
this.container,
)
runButton.textContent = 'Run Code (Alt+Enter)'
runButton.onclick = () => {
// node.__repl('RUN') //node.executeCode()
this.executeCode()
}
const clearButton = mtb_ui.makeElement(
'button',
{
backgroundColor: '#555',
border: 'none',
borderRadius: '4px',
color: '#fff',
cursor: 'pointer',
fontSize: '14px',
marginBottom: '5px',
padding: '8px',
width: '100%',
},
this.container,
)
clearButton.textContent = 'Clear Output'
clearButton.onclick = () => {
this.outputArea.innerHTML = ''
// this.properties.outputHistory = ''
this.parentNode?.setProperty('outputHistory', '')
}
this.outputArea = mtb_ui.makeElement(
'div',
{
backgroundColor: '#222',
border: '1px solid #555',
borderRadius: '4px',
boxSizing: 'border-box',
color: '#ddd',
flexGrow: '1',
fontFamily: 'monospace',
fontSize: '14px',
overflowY: 'auto',
padding: '5px',
whiteSpace: 'pre-wrap',
width: 'calc(100% - 10px)',
},
this.container,
)
// augment the node
// node.__repl = function (msg) {
// console.log('Called msg on api REPl', { msg, node: this })
// }
// node.setProperty('inputCode', '')
// node.title = '🐍 REPL (mtb)'
}
}
get code() {
return this._code
}
async lintCode() {
if (this.options.mode !== 'python') {
errorLogger('ME: Only python supports lint').notify()
return
}
if (!this.aceEditor) {
shared.warnLogger('ME: Ace Editor not loaded yet')
return
}
const code = this.aceEditor.getValue()
if (!code.trim()) {
this.aceEditor.session.setAnnotations([])
return
}
try {
const response = await fetch('/mtb/lint', {
body: JSON.stringify({ code: code, name: this.uuid }),
headers: {
'Content-Type': 'application/json',
},
method: 'POST',
})
if (!response.ok) {
errorLogger('ME: Failed to lint', response)
throw new Error(
`HTTP error! status: ${response.status} ${response.statusText}`,
)
}
const result = await response.json()
// result.diagnostics should be an array of {row, column, text, type}
this.aceEditor.session.setAnnotations(result.diagnostics)
} catch (e) {
errorLogger('ME: Linting Error', e)
this.aceEditor.session.setAnnotations([
{
column: 0,
row: 0,
text: `Linting failed: ${e.message}`,
type: 'error',
},
])
}
}
setupWidget(name, typeName) {
if (this._widget) {
throw Error('Widget already setup, this should not happen')
}
this._widget = this.parentNode.addDOMWidget(
name,
typeName,
this.container,
{
getValue: () => {
// infoLogger(
// 'Called get value of Code Editor',
// node.properties,
// editor.code,
// )
// return 'foobar'
// return node.properties.inputCode
// return this.parentNode?.properties?.inputCode // editor.code
return this.code
},
hideOnZoom: false,
setValue: (v) => {
infoLogger('Called set value of Code Editor with:', v)
// this.parentNode.setProperty('inputCode', v)
this._code = v
},
},
)
return this._widget
}
// --- Resizing Logic ---
startResizing(e) {
if (!this.inputDiv) {
infoLogger("The input div isn't ready", this)
errorLogger("The input div isn't ready")
return
}
this.isResizing = true
this.initialMouseY = e.clientY
this.initialInputHeight = this.inputDiv.offsetHeight
this.initialOutputHeight = this.outputArea.offsetHeight
document.addEventListener('mousemove', this.doResize.bind(this))
document.addEventListener('mouseup', this.stopResizing.bind(this))
document.body.style.cursor = 'ns-resize' // Change cursor globally
}
doResize(e) {
if (!this.aceEditor || !this.isResizing) return
const deltaY = e.clientY - this.initialMouseY
let new_input_height = this.initialInputHeight + deltaY
let new_output_height = this.initialOutputHeight - deltaY
const minInputHeight = 50 // Minimum height for Ace editor
const minOutputHeight = 50 // Minimum height for output area
// Clamp heights to minimums
if (new_input_height < minInputHeight) {
new_input_height = minInputHeight
new_output_height =
this.initialInputHeight + this.initialOutputHeight - minInputHeight
}
if (new_output_height < minOutputHeight) {
new_output_height = minOutputHeight
new_input_height =
this.initialInputHeight + this.initialOutputHeight - minOutputHeight
}
this.inputDiv.style.height = `${new_input_height}px`
this.outputArea.style.height = `${new_output_height}px`
// Update the stored ratio for persistence
const totalDynamicHeight =
this.inputDiv.offsetHeight + this.outputArea.offsetHeight
if (totalDynamicHeight > 0) {
this.parentNode.setProperty(
'inputHeightRatio',
new_input_height / totalDynamicHeight,
)
}
this.aceEditor.resize() // Important for Ace to redraw
}
stopResizing() {
this.isResizing = false
document.removeEventListener('mousemove', this.doResize)
document.removeEventListener('mouseup', this.stopResizing)
document.body.style.cursor = '' // Restore default cursor
}
setCode(code) {
infoLogger('called set code')
this._code = code || this._code
if (!this._code) {
return
}
if (this._widget) {
this._widget.value = this._code
}
if (this.reference) {
this.reference.value = this._code
}
if (this.aceEditor) {
this.aceEditor.setValue(this._code)
}
// if (this.parentNode) {
// this.parentNode.setProperty('inputCode', this._code)
// }
// TODO: probably shouldn't be auto called depending on the call chain..
if (this.options.lint) {
this.debouncedLint()
}
}
loadAceEditor() {
if (window.MTB?.ace_loaded) {
if (this.aceEditor) {
infoLogger('ACE is already loaded, nothing to do')
} else {
this.initAceEditor()
}
return
}
// NOTE: this need more testing, globals can come from other extensions...
//
// let NEED_PATCH = false
if (window.ace) {
infoLogger(
'A global ace was found in scope, to avoid issues with it we will patch it',
)
// NEED_PATCH = true
// // window._backupAce = window.ace
// // window.ace = null
}
shared
.loadScript('/mtb_async/ace/ace.js')
.then((m) => {
infoLogger('ACE was loaded', m)
// window.MTB_ACE = window.ace
if (!window.MTB) {
// might happen now that we don't control the lifecycle
window.MTB = {}
}
window.MTB.ace_loaded = true
this.initAceEditor()
// this.aceEditor.setValue(this.properties.inputCode, -1)
// this.aceEditor.setValue(this.properties.inputCode, -1)
this.setCode()
})
.catch((e) => {
errorLogger(`Error loading ace: ${e}`)
})
.finally(() => {
// if (NEED_PATCH) {
// console.log('Patching back window object')
// window.ace = window._backupAce
// }
})
}
appendOutput(html) {
this.outputArea.innerHTML += html
this.outputArea.scrollTop = this.outputArea.scrollHeight
if (this.parentNode) {
const currentHistory = this.parentNode.properties.outputHistory || ''
this.parentNode.setProperty('outputHistory', currentHistory + html)
}
this.outputArea.scrollTop = this.outputArea.scrollHeight
}
async executeCode() {
if (!this.aceEditor) {
infoLogger('Editor is gone, recreating it.')
this.initAceEditor()
}
const code = this.aceEditor.getValue()
if (!code.trim()) {
infoLogger('No code to execute')
return
}
const inputPrompt = `<div style="color:#888; margin-top: 10px;">>>> ${code}</div>`
this.appendOutput(inputPrompt)
try {
const response = await fetch('/mtb/execute', {
body: JSON.stringify({ code: code, name: this.uuid, reset: true }),
headers: {
'Content-Type': 'application/json',
},
method: 'POST',
})
if (!response.ok) {
throw new Error(`HTTP error! status: ${response.status}`)
}
const result = await response.json()
infoLogger('Received from backend', result)
const outputHtml = result.output_html || ''
const error = result.error
if (error) {
this.appendOutput(
`<div style="color: #f00; font-weight: bold;">Error:</div>${outputHtml}`,
)
} else {
this.appendOutput(outputHtml)
}
} catch (e) {
const errorMessage = `<div style="color: #f00;">Frontend Error: ${e.message}</div>`
this.appendOutput(errorMessage)
errorLogger('MTBEditor Backend Error:', e).notify()
} finally {
// Not clearing
// this.inputArea.value = '' // Clear input after execution
// this.properties.inputCode = '' // Clear persisted input
}
}
initAceEditor() {
if (!window.MTB?.ace_loaded) {
errorLogger('ACE editor not loaded. Cannot set up editors.')
return
}
if (!this.inputDiv) {
errorLogger('Input div not found for Ace editor initialization.')
return
}
this.aceEditor = ace.edit(this.inputDiv)
this.aceEditor.setTheme(`ace/theme/${this.options.theme || 'dracula'}`) //"ace/theme/monokai", "ace/theme/github"
this.aceEditor.session.setMode(`ace/mode/${this.options.mode}`)
this.aceEditor.setOptions({
autoScrollEditorIntoView: true,
behavioursEnabled: true,
cursorStyle: 'ace', // "ace" | "slim" | "smooth" | "wide"
displayIndentGuides: true,
fixedWidthGutter: true,
fontFamily: 'monospace',
// enableBasicAutocompletion: true,
// enableLiveAutocompletion: true,
// enableSnippets: true,
fontSize: '14px',
hasCssTransforms: true,
highlightActiveLine: true,
highlightSelectedWord: true,
scrollPastEnd: 0.5,
showPrintMargin: false,
tabSize: 4,
useSoftTabs: true,
wrap: true,
})
// Custom keybinding for Ctrl+Enter
// this.aceEditor.commands.addCommand({
// name: 'runCode',
// bindKey: { win: 'Ctrl-Enter', mac: 'Command-Enter' },
// exec: () => this.executeCode(),
// })
// this.addCommand = this.aceEditor.commands.addCommand
if (this.options.capabilities.execute) {
this.aceEditor.commands.addCommand({
bindKey: { mac: 'Alt-Enter', win: 'Alt-Enter' },
exec: () => this.executeCode(),
name: 'runCode',
})
}
// Listen for changes to trigger linting
// for now keeping it like that but we might just not register
// the event at all.
this.aceEditor.session.on('change', () => {
this.debouncedUpdateNodeProperty()
if (this.options.lint) {
this.debouncedLint()
}
})
infoLogger('ACE editor created', { aceEditor: this.aceEditor })
// this.outputArea.scrollTop = this.outputArea.scrollHeight
}
}
// the widget
// This is a bit hacky and backward but the simplest I could
// find for the bidirectionality
export const CODE_EDITOR = (node, name, inputData, _app) => {
infoLogger('CODE EDITOR NODE NOW', {
inputData: shared.safe_json(inputData),
node: shared.safe_json(node),
})
const [typeName, options] = inputData
infoLogger('CODE_EDITOR', { name, node, options })
switch (
options.lang //(node.type || node.title) {
) {
case undefined: {
shared
.errorLogger(
'Using CODE_EDITOR without specifying lang is not supported anymore',
)
.notify()
break
}
// case 'Repl (mtb)': {
case 'python': {
infoLogger('Handling python editor', { node })
const editor = new MtbEditor(node, {
capabilities: {
execute: true, // options.allow_exec
},
lang: 'python',
})
infoLogger('MTBEditor created', editor)
return editor.setupWidget(name, typeName)
}
default: {
break
}
}
}
app.registerExtension({
getCustomWidgets: () => {
return {
CODE_EDITOR,
}
},
name: 'mtb.code_editor',
})
+27 -200
View File
@@ -15,13 +15,8 @@ import {
renderSidebar,
} from './mtb_ui.js'
// pagination state
let pageOffset = 0
let isLoadingPage = false
let hasMorePages = true
let pageSizeCache = undefined
const offset = 0
let observer = null
// These are "global" variables mostly meant to sync user settings.
let currentWidth = 200
let saltUrls =
@@ -135,13 +130,6 @@ const getImgsFromUrls = (urls, target, options = { prepend: false }) => {
const a = makeElement(elem)
a.src = url
a.width = currentWidth
if (elem === 'img') {
a.loading = 'lazy'
a.decoding = 'async'
} else {
// video
a.preload = 'metadata'
}
if (currentMode === 'input') {
a.onclick = (_e) => {
if (subfolder !== '') {
@@ -170,66 +158,25 @@ const getImgsFromUrls = (urls, target, options = { prepend: false }) => {
}
}
} else if (currentMode === 'output') {
a.onclick = async (_e) => {
const params = new URLSearchParams()
params.set('filename', key)
params.set('type', 'output')
if (subfolder) params.set('subfolder', subfolder)
params.set('workflow', 'true')
const url = `/mtb/view?${params.toString()}`
try {
const res = await api.fetchApi(url)
if (!res?.ok) throw new Error(`Request failed (${res?.status})`)
const data = await res.json()
const workflow = data?.workflow || data?.prompt
if (!workflow) {
app.extensionManager.toast.add({
severity: 'warn',
summary: 'No workflow in image',
detail: 'This file does not contain embedded workflow metadata.',
life: 5000,
})
return
}
// Try to import via File first; fallback to blob URL
const jsonText = JSON.stringify(workflow, null, 2)
const blob = new Blob([jsonText], { type: 'application/json' })
const suggestedName = `${(key || 'workflow').replace(/\.[^.]+$/, '')}-workflow.json`
let loaded = false
try {
const file = new File([blob], suggestedName, {
type: 'application/json',
})
await app.handleFile(file)
loaded = true
} catch (_err) {
const blobUrl = URL.createObjectURL(blob)
try {
await app.handleFile(blobUrl)
loaded = true
} finally {
URL.revokeObjectURL(blobUrl)
}
}
if (loaded) {
app.extensionManager.toast.add({
severity: 'success',
summary: 'Workflow loaded',
detail: 'Imported workflow from image metadata.',
life: 3000,
})
}
} catch (err) {
console.error('Failed to load workflow from output image:', err)
a.onclick = (_e) => {
// window.MTB?.notify?.("Output import isn't supported yet...", 5000)
if (subfolder !== '') {
app.extensionManager.toast.add({
severity: 'error',
summary: 'Import failed',
detail: String(err?.message || err),
life: 6000,
severity: 'warn',
summary: 'Subfolder not supported',
detail: "The LoadImage node doesn't support subfolders",
life: 5000,
})
return
}
app.extensionManager.toast.add({
severity: 'warn',
summary: 'Outputs not supported',
detail:
'For now only inputs can be clicked to load the image on the active LoadImage node.',
life: 5000,
})
}
} else {
a.autoplay = true
@@ -267,14 +214,9 @@ const getModes = async () => {
const inputs = await shared.runAction('getUserImageFolders')
return inputs
}
const getUrls = async (subfolder, countOverride, offsetOverride) => {
const count =
typeof countOverride === 'number'
? countOverride
: (await api.getSetting('mtb.io-sidebar.count')) || 1000
const offset = typeof offsetOverride === 'number' ? offsetOverride : pageOffset
pageSizeCache = count
// console.debug('Sidebar count', count, 'offset', offset)
const getUrls = async (subfolder) => {
const count = (await api.getSetting('mtb.io-sidebar.count')) || 1000
console.log('Sidebar count', count)
if (currentMode === 'video') {
const output = await shared.runAction(
'getUserVideos',
@@ -299,89 +241,6 @@ const getUrls = async (subfolder, countOverride, offsetOverride) => {
return output || {}
}
/**
* Initialize pagination (loader, end-of-results message, sentinel, and IntersectionObserver)
* for the provided grid container. Safely disconnects any previous observer.
* @param {HTMLElement} imgGrid
*/
function initPagination(imgGrid) {
// disconnect any existing observer to avoid duplicates
if (observer) {
try {
observer.disconnect()
} catch { }
observer = null
}
// create footer UI elements
const loader = makeElement('div', {}, imgGrid)
Object.assign(loader.style, {
display: 'none',
width: '100%',
padding: '8px 0',
textAlign: 'center',
color: 'var(--mtb-text, #ccc)',
fontSize: '12px',
})
loader.textContent = 'Loading…'
const endMsg = makeElement('div', {}, imgGrid)
Object.assign(endMsg.style, {
display: 'none',
width: '100%',
padding: '8px 0',
textAlign: 'center',
color: 'var(--mtb-text, #888)',
fontSize: '12px',
})
endMsg.textContent = 'No more items'
const sentinel = makeElement('div', {}, imgGrid)
sentinel.style.height = '1px'
sentinel.style.width = '100%'
sentinel.style.marginTop = '1px'
const loadNextPage = async () => {
if (isLoadingPage || !hasMorePages) return
isLoadingPage = true
loader.style.display = 'block'
try {
const nextUrls = await getUrls(subfolder, undefined, pageOffset)
const keys = Object.keys(nextUrls || {})
if (!keys.length) {
hasMorePages = false
if (observer) observer.disconnect()
loader.style.display = 'none'
endMsg.style.display = 'block'
return
}
getImgsFromUrls(nextUrls, imgGrid)
if (pageSizeCache != null) pageOffset += pageSizeCache
// keep footer elements and sentinel at the bottom
imgGrid.appendChild(loader)
imgGrid.appendChild(endMsg)
imgGrid.appendChild(sentinel)
} catch (e) {
console.error('Failed to load next page:', e)
hasMorePages = false
if (observer) observer.disconnect()
loader.style.display = 'none'
endMsg.style.display = 'block'
} finally {
isLoadingPage = false
if (hasMorePages) loader.style.display = 'none'
}
}
observer = new IntersectionObserver((entries) => {
for (const entry of entries) {
if (entry.isIntersecting) loadNextPage()
}
})
observer.observe(sentinel)
}
//NOTE: do not load if using the old ui
if (window?.__COMFYUI_FRONTEND_VERSION__) {
// NOTE: removed this for now since I'm not actually exposing anything a client
@@ -568,12 +427,7 @@ if (window?.__COMFYUI_FRONTEND_VERSION__) {
const allModes = await getModes()
const input_modes = allModes.input.map((m) => `input - ${m}`)
const output_modes = allModes.output.map((m) => `output - ${m}`)
//- reset pagination state for fresh render
pageOffset = 0
isLoadingPage = false
hasMorePages = true
const urls = await getUrls(undefined, undefined, 0)
if (pageSizeCache != null) pageOffset += pageSizeCache
const urls = await getUrls()
let imgs = {}
const cont = makeElement('div.mtb_sidebar')
@@ -602,17 +456,10 @@ if (window?.__COMFYUI_FRONTEND_VERSION__) {
subfolder = newSub
if (changed) {
imgGrid.innerHTML = ''
//- reset pagination on mode change
pageOffset = 0
isLoadingPage = false
hasMorePages = true
const urls = await getUrls(subfolder, undefined, 0)
if (pageSizeCache != null) pageOffset += pageSizeCache
const urls = await getUrls(subfolder)
if (urls) {
imgs = getImgsFromUrls(urls, imgGrid)
}
// re-init pagination after content reset
initPagination(imgGrid)
}
})
@@ -628,17 +475,10 @@ if (window?.__COMFYUI_FRONTEND_VERSION__) {
currentSort = newSort
if (changed) {
imgGrid.innerHTML = ''
//- reset pagination on sort change
pageOffset = 0
isLoadingPage = false
hasMorePages = true
const urls = await getUrls(subfolder, undefined, 0)
if (pageSizeCache != null) pageOffset += pageSizeCache
const urls = await getUrls(subfolder)
if (urls) {
imgs = getImgsFromUrls(urls, imgGrid)
}
// re-init pagination after content reset
initPagination(imgGrid)
}
})
@@ -647,23 +487,12 @@ if (window?.__COMFYUI_FRONTEND_VERSION__) {
imgTools.appendChild(sizeSlider)
imgs = getImgsFromUrls(urls, imgGrid)
// Setup infinite pagination for the initial render
initPagination(imgGrid)
let pendingWidth = null
let rafToken = null
sizeSlider.addEventListener('input', (e) => {
pendingWidth = e.target.value
if (rafToken) return
rafToken = requestAnimationFrame(() => {
rafToken = null
if (pendingWidth == null) return
currentWidth = pendingWidth
pendingWidth = null
for (const img of imgs) {
img.style.width = `${currentWidth}px`
}
})
currentWidth = e.target.value
for (const img of imgs) {
img.style.width = `${e.target.value}px`
}
})
handle = renderSidebar(el, cont, [selector, imgGrid, imgTools])
app.api.addEventListener('status', async () => {
@@ -677,8 +506,6 @@ if (window?.__COMFYUI_FRONTEND_VERSION__) {
handle = undefined
app.api.removeEventListener('status')
}
// Attempt to disconnect any stray observers to avoid retained callbacks
if (observer) observer.disconnect()
},
})
},
-14
View File
@@ -1,14 +0,0 @@
/** Python REPL for the frontend (uses rich)*/
import { app } from '../../scripts/app.js'
// import * as mtb_ui from './mtb_ui.js'
// #endregion
const repl = {
name: 'mtb.repl',
// async beforeRegisterNodeDef(nodeType, nodeData, app) {
}
+48 -80
View File
@@ -21,7 +21,7 @@ import { infoLogger } from './comfy_shared.js'
import { NumberInputWidget } from './numberInput.js'
// NOTE: new widget types registered by MTB Widgets
const newTypes = [/*'BOOL'*/ 'COLOR', 'MTB_COLOR', 'BBOX']
const newTypes = [/*'BOOL'*/ 'COLOR','MTB_COLOR', 'BBOX']
const deprecated_nodes = {
// 'Animation Builder':
@@ -120,7 +120,7 @@ export function addVectorWidgetW(
'number',
`${name}_${VECTOR_AXIS[i]}`,
value[VECTOR_AXIS[i]],
(val) => { },
(val) => {},
)
inputs.push(input)
@@ -448,7 +448,7 @@ export const MtbWidgets = {
try {
//solve the equation if possible
v = eval(v)
} catch (e) { }
} catch (e) {}
}
this.value = Number(v)
shared.inner_value_change(this, this.value, event)
@@ -1060,6 +1060,7 @@ const mtb_widgets = {
const currentChunkSize = Math.min(chunkSize, totalPrompts - i)
await app.queuePrompt(0, currentChunkSize)
}
if (!cancelQueue) {
window.MTB?.notify?.(
@@ -1085,14 +1086,16 @@ const mtb_widgets = {
this.value++
raw_loop.value = Math.floor(this.value / total_frames.value)
value_preview.value = `frame: ${raw_iteration.value % total_frames.value
} / ${total_frames.value - 1}`
value_preview.value = `frame: ${
raw_iteration.value % total_frames.value
} / ${total_frames.value - 1}`
if (raw_loop.value + 1 > loop_count.value) {
loop_preview.value = 'Done 😎!'
} else {
loop_preview.value = `current loop: ${raw_loop.value + 1}/${loop_count.value
}`
loop_preview.value = `current loop: ${raw_loop.value + 1}/${
loop_count.value
}`
}
}
@@ -1203,9 +1206,7 @@ const mtb_widgets = {
//NOTE: dynamic nodes
case 'Apply Text Template (mtb)': {
shared.setupDynamicConnections(nodeType, 'var', '*', {
rename_menu: 'name',
})
shared.setupDynamicConnections(nodeType, 'var', '*')
break
}
case 'Save Data Bundle (mtb)': {
@@ -1229,7 +1230,6 @@ const mtb_widgets = {
// break
// }
case 'Stack Images (mtb)':
case 'Reference Latents (mtb)':
case 'Concat Images (mtb)': {
shared.setupDynamicConnections(nodeType, 'image', 'IMAGE')
break
@@ -1295,32 +1295,7 @@ const mtb_widgets = {
break
}
case 'String Replace (mtb)': {
shared.addMenuHandler(nodeType, function (_app, options) {
/** @type {ContextMenuItem} */
const item = {
content: 'swap',
title: 'Swap Old/New ⚡',
callback: (_menuItem) => {
const old_w = this.widgets.find((w) => w.name === 'old')
const novel_w = this.widgets.find(
(w) => w.name === 'new',
)
const old = old_w.value
const novel = novel_w.value
novel_w.value = old
old_w.value = novel
},
}
options.push(item)
return [item]
})
break
}
case 'Batch Shape (mtb)':
case 'Mask To Image (mtb)':
case 'Text To Image (mtb)': {
@@ -1363,54 +1338,47 @@ const mtb_widgets = {
const related = new Set([this.id])
const visited = new Set()
if (this.outputs[0].links) {
for (const linkId of this.outputs[0].links) {
const { to: loopEnd } = shared.nodesFromLink(this, linkId)
const canReachEnd = (node, visited = new Set()) => {
if (node === loopEnd) return true
if (visited.has(node.id)) return false
visited.add(node.id)
for (const output of node.outputs || []) {
if (!output.links) continue
for (const linkId of output.links) {
const { to: nextNode } = shared.nodesFromLink(
node,
linkId,
)
if (!nextNode) continue
if (canReachEnd(nextNode, visited)) {
return true
}
}
}
return false
}
const traverseNodes = (node) => {
if (visited.has(node.id)) return
visited.add(node.id)
// can reach the end
if (node !== this && node !== loopEnd && !canReachEnd(node)) {
return
}
related.add(node.id)
for (const output of node.outputs || []) {
if (!output.links) continue
for (const linkId of output.links) {
const { to: nextNode } = shared.nodesFromLink(
node,
linkId,
)
if (!nextNode) continue
traverseNodes(nextNode)
const initLink = this.outputs[0].links[0]
const { to: loopEnd } = shared.nodesFromLink(this, initLink)
const canReachEnd = (node, visited = new Set()) => {
if (node === loopEnd) return true
if (visited.has(node.id)) return false
visited.add(node.id)
for (const output of node.outputs || []) {
if (!output.links) continue
for (const linkId of output.links) {
const { to: nextNode } = shared.nodesFromLink(node, linkId)
if (!nextNode) continue
if (canReachEnd(nextNode, visited)) {
return true
}
}
}
traverseNodes(this)
return false
}
const traverseNodes = (node) => {
if (visited.has(node.id)) return
visited.add(node.id)
// can reach the end
if (node !== this && node !== loopEnd && !canReachEnd(node)) {
return
}
related.add(node.id)
for (const output of node.outputs || []) {
if (!output.links) continue
for (const linkId of output.links) {
const { to: nextNode } = shared.nodesFromLink(node, linkId)
if (!nextNode) continue
traverseNodes(nextNode)
}
}
}
traverseNodes(this)
}
this.related_to_flow = Array.from(related)
this.computed_flow = true
+5 -1
View File
@@ -194,7 +194,9 @@ class NotePlus extends LiteGraph.LGraphNode {
this.calculateHeight.cancel()
}
this.calculateHeight = shared.debounce(() => {
this.calculated_height = shared.calculateTotalChildrenHeight(this.inner)
this.calculated_height = shared.calculateTotalChildrenHeight(
this.inner,
)
}, ms)
}
@@ -408,6 +410,7 @@ class NotePlus extends LiteGraph.LGraphNode {
this.editorsContainer,
)
//- "Dynamic" elements
const syncUI = () => {
// let convert_to_html =
@@ -458,6 +461,7 @@ class NotePlus extends LiteGraph.LGraphNode {
syncUI()
this.setupEditors()
}
loadAceEditor() {
-24
View File
@@ -1,24 +0,0 @@
# Logs
logs
*.log
npm-debug.log*
yarn-debug.log*
yarn-error.log*
pnpm-debug.log*
lerna-debug.log*
node_modules
dist
dist-ssr
*.local
# Editor directories and files
.vscode/*
!.vscode/extensions.json
.idea
.DS_Store
*.suo
*.ntvs*
*.njsproj
*.sln
*.sw?
-768
View File
@@ -1,768 +0,0 @@
{
"lockfileVersion": 1,
"configVersion": 0,
"workspaces": {
"": {
"name": "vite-project",
"dependencies": {
"@untemps/svelte-palette": "^4.1.0",
"iconify-icon": "^3.0.0",
"vite-plugin-css-injected-by-js": "^3.5.2",
},
"devDependencies": {
"@comfyorg/comfyui-frontend-types": "^1.20.2",
"@comfyorg/litegraph": "^0.15.15",
"@neodrag/svelte": "^2.3.2",
"@sveltejs/vite-plugin-svelte": "^5.1.0",
"@swc/cli": "^0.7.7",
"@swc/core": "^1.11.31",
"@types/node": "^22.15.30",
"prettier-plugin-svelte": "^3.2.7",
"sass": "^1.89.1",
"svelte": "^5.33.14",
"svelte-awesome-color-picker": "^4.0.2",
"svelte-dnd-action": "^0.9.61",
"svelte-portal": "^2.2.1",
"syncpack": "^13.0.0",
"typescript": "^5.7.2",
"vite": "^6.3.5",
"vite-plugin-no-bundle": "^4.0.0",
},
},
},
"trustedDependencies": [
"@swc/core",
"@parcel/watcher",
],
"packages": {
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}
-12
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@@ -1,12 +0,0 @@
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</html>
-42
View File
@@ -1,42 +0,0 @@
{
"name": "comfy-mtb-web",
"private": true,
"version": "0.4.0",
"type": "module",
"scripts": {
"dev": "vite",
"build": "vite build && bun run postbuild",
"postbuild": "cp -r dist/* ../web/dist/",
"preview": "vite preview",
"check-deps": "bun x syncpack list"
},
"devDependencies": {
"@comfyorg/comfyui-frontend-types": "^1.20.2",
"@comfyorg/litegraph": "^0.15.15",
"@neodrag/svelte": "^2.3.2",
"@sveltejs/vite-plugin-svelte": "^5.1.0",
"@swc/cli": "^0.7.7",
"@swc/core": "^1.11.31",
"@types/node": "^22.15.30",
"prettier-plugin-svelte": "^3.2.7",
"sass": "^1.89.1",
"svelte": "^5.33.14",
"svelte-awesome-color-picker": "^4.0.2",
"svelte-dnd-action": "^0.9.61",
"svelte-portal": "^2.2.1",
"syncpack": "^13.0.0",
"typescript": "^5.7.2",
"vite": "^6.3.5",
"vite-plugin-no-bundle": "^4.0.0"
},
"packageManager": "bun@1.2.15",
"volta": {
"node": "22.14.0"
},
"dependencies": {
"@untemps/svelte-palette": "^4.1.0",
"iconify-icon": "^3.0.0",
"vite-plugin-css-injected-by-js": "^3.5.2"
},
"trustedDependencies": ["@parcel/watcher", "@swc/core", "svelte-preprocess"]
}
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@@ -1,11 +0,0 @@
<script>
import Inspector from './lib/Inspector.svelte'
import './app.css'
</script>
<main>
<Inspector />
</main>
<style>
</style>
-85
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@@ -1,85 +0,0 @@
:root {
--fg-color: #fff;
--bg-color: #202020;
--comfy-menu-bg: #353535;
--comfy-input-bg: #222;
--input-text: #ddd;
--descrip-text: #999;
--drag-text: #ccc;
--error-text: #ff4444;
--border-color: #4e4e4e;
--tr-even-bg-color: #222;
--tr-odd-bg-color: #353535;
font-family: Inter, system-ui, Avenir, Helvetica, Arial, sans-serif;
line-height: 1.5;
font-weight: 400;
color-scheme: light dark;
color: rgba(255, 255, 255, 0.87);
/* background-color: #242424; */
background-color: #646464;
font-synthesis: none;
text-rendering: optimizeLegibility;
-webkit-font-smoothing: antialiased;
-moz-osx-font-smoothing: grayscale;
}
a {
font-weight: 500;
color: #646cff;
text-decoration: inherit;
}
a:hover {
color: #535bf2;
}
body {
margin: 0;
display: flex;
place-items: center;
min-width: 320px;
min-height: 100vh;
}
h1 {
font-size: 3.2em;
line-height: 1.1;
}
.card {
padding: 2em;
}
/**/
/* button { */
/* border-radius: 8px; */
/* border: 1px solid transparent; */
/* padding: 0.6em 1.2em; */
/* font-size: 1em; */
/* font-weight: 500; */
/* font-family: inherit; */
/* background-color: #1a1a1a; */
/* cursor: pointer; */
/* transition: border-color 0.25s; */
/* } */
/* button:hover { */
/* border-color: #646cff; */
/* } */
/* button:focus, */
/* button:focus-visible { */
/* outline: 4px auto -webkit-focus-ring-color; */
/* } */
@media (prefers-color-scheme: light) {
:root {
color: #213547;
background-color: #ffffff;
}
a:hover {
color: #747bff;
}
button {
background-color: #f9f9f9;
}
}
-1
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@@ -1 +0,0 @@
/// <reference types="comfyui-frontend-types" />
-47
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@@ -1,47 +0,0 @@
/**
* Server API utilities
*/
import { api } from '@/scripts/api'
export interface ActionResult {
result: unknown
}
export interface ServerInfo {
[key: string]: unknown
}
/**
* Run a server action
*/
export const runAction = async (name: string, ...args: unknown[]): Promise<unknown> => {
const req = await api.fetchApi('/mtb/actions', {
method: 'POST',
body: JSON.stringify({
name,
args,
}),
})
const res = (await req.json()) as ActionResult
return res.result
}
/**
* Get server info
*/
export const getServerInfo = async (): Promise<ServerInfo> => {
const res = await api.fetchApi('/mtb/server-info')
return (await res.json()) as ServerInfo
}
/**
* Set server info
*/
export const setServerInfo = async (opts: ServerInfo): Promise<void> => {
await api.fetchApi('/mtb/server-info', {
method: 'POST',
body: JSON.stringify(opts),
})
}
-19
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@@ -1,19 +0,0 @@
/**
* Color utilities
*/
type RGB = [number, number, number]
function getBrightness(rgb: RGB): number {
return Math.round(
(Number.parseInt(String(rgb[0])) * 299 +
Number.parseInt(String(rgb[1])) * 587 +
Number.parseInt(String(rgb[2])) * 114) /
1000,
)
}
export function isColorBright(rgb: RGB, threshold = 240): boolean {
const brightness = getBrightness(rgb)
return brightness > threshold
}
@@ -1,361 +0,0 @@
/**
* Documentation widget for nodes
*/
import { app } from '@/scripts/app'
import type { MTBNode, NodeType, NodeData, DocumentationOptions, MarkdownParser } from './types'
import { infoLogger } from './logger'
const create_documentation_stylesheet = (): void => {
const tag = 'mtb-documentation-stylesheet'
let styleTag = document.head.querySelector(`#${tag}`) as HTMLStyleElement | null
if (!styleTag) {
styleTag = document.createElement('style')
styleTag.type = 'text/css'
styleTag.id = tag
styleTag.innerHTML = `
.documentation-popup {
background: var(--comfy-menu-bg);
position: absolute;
color: var(--fg-color);
font: 12px monospace;
line-height: 1.5em;
padding: 10px;
border-radius: 6px;
pointer-events: "inherit";
z-index: 5;
overflow: hidden;
}
.documentation-wrapper {
padding: 0 2em;
overflow: auto;
max-height: 100%;
&::-webkit-scrollbar {
width: 6px;
}
&::-webkit-scrollbar-track {
background: var(--bg-color);
}
&::-webkit-scrollbar-thumb {
background-color: var(--fg-color);
border-radius: 6px;
border: 3px solid var(--bg-color);
}
scrollbar-width: thin;
scrollbar-color: var(--fg-color) var(--bg-color);
a {
color: yellow;
}
a:visited {
color: orange;
}
a:hover {
color: red;
}
}
.documentation-popup img {
max-width: 100%;
}
.documentation-popup table {
border-collapse: collapse;
border: 1px var(--border-color) solid;
}
.documentation-popup th,
.documentation-popup td {
border: 1px var(--border-color) solid;
}
.documentation-popup th {
background-color: var(--comfy-input-bg);
}`
document.head.appendChild(styleTag)
}
}
let parserPromise: Promise<MarkdownParser> | undefined
const callbackQueue: Array<(parser: MarkdownParser) => void> = []
function runQueuedCallbacks(): void {
while (callbackQueue.length) {
const cb = callbackQueue.shift()
if (cb && window.MTB?.mdParser) {
cb(window.MTB.mdParser)
}
}
}
function loadParser(shiki: boolean): Promise<MarkdownParser> {
if (!parserPromise) {
parserPromise = import(
shiki ? '/mtb_async/mtb_markdown_plus.umd.js' : '/mtb_async/mtb_markdown.umd.js'
)
.then(() => (shiki ? window.MTBMarkdownPlus!.getParser() : window.MTBMarkdown!.getParser()))
.then((instance) => {
window.MTB = window.MTB || {}
window.MTB.mdParser = instance
runQueuedCallbacks()
return instance
})
.catch((error) => {
// biome-ignore lint/suspicious/noConsole: error logging
console.error('Error loading the parser:', error)
throw error
})
}
return parserPromise
}
export const ensureMarkdownParser = async (
callback?: (parser: MarkdownParser) => void,
): Promise<MarkdownParser> => {
infoLogger('Ensuring md parser')
const use_shiki = app.extensionManager?.setting?.get('mtb.noteplus.use-shiki', false) as boolean
if (window.MTB?.mdParser) {
infoLogger('Markdown parser found')
callback?.(window.MTB.mdParser)
return window.MTB.mdParser
}
if (!parserPromise) {
infoLogger('Running promise to fetch parser')
try {
loadParser(use_shiki)
} catch (error) {
// biome-ignore lint/suspicious/noConsole: error logging
console.error('Error loading the parser:', error)
}
} else {
infoLogger('A similar promise is already running, waiting for it to finish')
}
if (callback) {
callbackQueue.push(callback)
}
await parserPromise
return window.MTB!.mdParser!
}
/**
* Add documentation widget to the given node.
*/
export const addDocumentation = (
nodeData: NodeData,
nodeType: NodeType,
opts: DocumentationOptions = { icon_size: 14, icon_margin: 4 },
): void => {
if (!nodeData.description) {
infoLogger(`Skipping ${nodeData.name} doesn't have a description, skipping...`)
return
}
const options = opts || {}
const iconSize = options.icon_size || 14
const iconMargin = options.icon_margin || 4
let docElement: HTMLDivElement | null = null
let wrapper: HTMLDivElement | null = null
const onRem = nodeType.prototype.onRemoved
nodeType.prototype.onRemoved = function (this: MTBNode) {
const r = onRem ? onRem.apply(this) : undefined
if (docElement) {
docElement.remove()
docElement = null
}
if (wrapper) {
wrapper.remove()
wrapper = null
}
return r
}
const drawFg = nodeType.prototype.onDrawForeground
nodeType.prototype.onDrawForeground = function (
this: MTBNode,
ctx: CanvasRenderingContext2D,
canvas: unknown,
) {
const r = drawFg ? drawFg.apply(this, [ctx, canvas]) : undefined
if (this.flags.collapsed) return r
const x = this.size[0] - iconSize - iconMargin
// create it
if (this.show_doc && docElement === null) {
create_documentation_stylesheet()
docElement = document.createElement('div')
docElement.classList.add('documentation-popup')
document.body.appendChild(docElement)
wrapper = document.createElement('div')
wrapper.classList.add('documentation-wrapper')
docElement.appendChild(wrapper)
ensureMarkdownParser().then(() => {
window.MTB!.mdParser!.parse(nodeData.description!).then((e) => {
if (!wrapper) return
wrapper.innerHTML = e
// resize handle
const resizeHandle = document.createElement('div')
resizeHandle.classList.add('doc-resize-handle')
Object.assign(resizeHandle.style, {
width: '0',
height: '0',
position: 'absolute',
bottom: '0',
right: '0',
cursor: 'se-resize',
userSelect: 'none',
borderWidth: '15px',
borderStyle: 'solid',
borderColor: 'transparent var(--border-color) var(--border-color) transparent',
})
wrapper.appendChild(resizeHandle)
let isResizing = false
let startX: number
let startY: number
let startWidth: number
let startHeight: number
resizeHandle.addEventListener(
'mousedown',
(e) => {
e.stopPropagation()
isResizing = true
startX = e.clientX
startY = e.clientY
startWidth = Number.parseInt(
document.defaultView!.getComputedStyle(docElement!).width,
10,
)
startHeight = Number.parseInt(
document.defaultView!.getComputedStyle(docElement!).height,
10,
)
},
{ signal: this.docCtrl!.signal },
)
document.addEventListener(
'mousemove',
(e) => {
if (!isResizing || !docElement) return
const scale = app.canvas.ds.scale
const newWidth = startWidth + (e.clientX - startX) / scale
const newHeight = startHeight + (e.clientY - startY) / scale
docElement.style.width = `${newWidth}px`
docElement.style.height = `${newHeight}px`
this.docPos = {
width: `${newWidth}px`,
height: `${newHeight}px`,
}
},
{ signal: this.docCtrl!.signal },
)
document.addEventListener(
'mouseup',
() => {
isResizing = false
},
{ signal: this.docCtrl!.signal },
)
})
})
} else if (!this.show_doc && docElement !== null) {
docElement.remove()
docElement = null
}
// reposition
if (this.show_doc && docElement !== null) {
const rect = ctx.canvas.getBoundingClientRect()
const scaleX = rect.width / ctx.canvas.width
const scaleY = rect.height / ctx.canvas.height
const transform = new DOMMatrix()
.scaleSelf(scaleX, scaleY)
.multiplySelf(ctx.getTransform())
.translateSelf(this.size[0] * scaleX * Math.max(1.0, window.devicePixelRatio), 0)
.translateSelf(10, -32)
const scale = new DOMMatrix().scaleSelf(transform.a, transform.d)
Object.assign(docElement.style, {
transformOrigin: '0 0',
transform: scale.toString(),
left: `${transform.a + rect.x + transform.e}px`,
top: `${transform.d + rect.y + transform.f}px`,
width: this.docPos ? this.docPos.width : `${this.size[0] * 1.5}px`,
height: this.docPos?.height,
})
if (this.docPos === undefined) {
this.docPos = {
width: docElement.style.width,
height: docElement.style.height,
}
}
}
ctx.save()
ctx.translate(x, iconSize - 34)
ctx.scale(iconSize / 32, iconSize / 32)
ctx.strokeStyle = 'rgba(255,255,255,0.3)'
ctx.lineCap = 'round'
ctx.lineJoin = 'round'
ctx.lineWidth = 2.4
ctx.font = 'bold 36px monospace'
ctx.fillText('?', 0, 24)
ctx.restore()
return r
}
const mouseDown = nodeType.prototype.onMouseDown
nodeType.prototype.onMouseDown = function (
this: MTBNode,
event: MouseEvent,
localPos: [number, number],
graphCanvas: unknown,
): boolean | void {
const r = mouseDown ? mouseDown.apply(this, [event, localPos, graphCanvas]) : undefined
const iconX = this.size[0] - iconSize - iconMargin
const iconY = iconSize - 34
if (
localPos[0] > iconX &&
localPos[0] < iconX + iconSize &&
localPos[1] > iconY &&
localPos[1] < iconY + iconSize
) {
if (this.show_doc === undefined) {
this.show_doc = true
} else {
this.show_doc = !this.show_doc
}
if (this.show_doc) {
this.docCtrl = new AbortController()
} else {
this.docCtrl?.abort()
}
return true
}
return r
}
}
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@@ -1,78 +0,0 @@
/**
* DOM and HTML utilities
*/
import { infoLogger } from './logger'
/**
* Calculate total height of DOM element children
*/
export function calculateTotalChildrenHeight(parentElement: HTMLElement | null): number {
let totalHeight = 0
if (!parentElement || !parentElement.children) {
return 0
}
for (const child of parentElement.children) {
const style = window.getComputedStyle(child)
const height = Number.parseFloat(style.height)
const marginTop = Number.parseFloat(style.marginTop)
const marginBottom = Number.parseFloat(style.marginBottom)
totalHeight += height + marginTop + marginBottom
}
return Math.ceil(totalHeight)
}
interface LoadScriptResult {
status: boolean
message?: string
}
/**
* Dynamically load a script
*/
export const loadScript = (
FILE_URL: string,
async = true,
type = 'text/javascript',
): Promise<LoadScriptResult> => {
return new Promise((resolve, reject) => {
try {
// Check if the script already exists
let scriptEle = document.querySelector(`script[src="${FILE_URL}"]`) as HTMLScriptElement | null
if (scriptEle) {
scriptEle.addEventListener('load', () => {
resolve({ status: true })
})
return
}
scriptEle = document.createElement('script')
scriptEle.type = type
scriptEle.async = async
scriptEle.src = FILE_URL
scriptEle.addEventListener('load', () => {
resolve({ status: true })
})
scriptEle.addEventListener('error', () => {
reject({
status: false,
message: `Failed to load the script ${FILE_URL}`,
})
})
document.body.appendChild(scriptEle)
} catch (error) {
reject(error)
} finally {
infoLogger(`Finally loaded script: ${FILE_URL}`)
}
})
}
@@ -1,352 +0,0 @@
/**
* Dynamic connections management for nodes
*/
import type { INodeInputSlot, INodeOutputSlot } from '@comfyorg/litegraph'
import { app } from '@/scripts/app'
import type { MTBNode, NodeType, DynamicConnectionOptions, ContextMenuItem } from './types'
import { infoLogger, errorLogger } from './logger'
import { nodesFromLink } from './widgets'
type SlotCondition = (slot: INodeInputSlot | INodeOutputSlot) => boolean
const isDynamicInput = (input: INodeInputSlot & { _isDynamic?: boolean }): boolean => {
return input._isDynamic === true
}
const addDynamicInput = (
node: MTBNode,
name: string,
kind: string,
): INodeInputSlot & { _isDynamic?: boolean } => {
const input = node.addInput(name, kind) as INodeInputSlot & { _isDynamic?: boolean }
input._isDynamic = true
update_dynamic_properties(node)
set_slot_colors(node, ['cyan', undefined], isDynamicInput as SlotCondition)
return input
}
const set_slot_colors = (
node: MTBNode,
colors: [string | undefined, string | undefined],
condition?: SlotCondition,
): void => {
const check = condition || (() => true)
for (const slot of node.slots || []) {
if (check(slot)) {
;(slot as INodeInputSlot & { color_off?: string; color_on?: string }).color_off = colors[0]
;(slot as INodeInputSlot & { color_on?: string }).color_on = colors[1]
}
}
}
const update_dynamic_properties = (node: MTBNode): void => {
const dyn: string[] = []
for (const input of node.inputs) {
if (isDynamicInput(input)) {
dyn.push(input.name)
}
}
node.setProperty('dynamic_connections', dyn)
}
/**
* Setup dynamic connections for a node type
*/
export const setupDynamicConnections = (
nodeType: NodeType,
prefix: string,
inputType: string | string[],
opts?: Partial<DynamicConnectionOptions>,
): void => {
infoLogger(
'Setting up dynamic connections for',
(Object.getOwnPropertyDescriptor(nodeType, 'title')?.value as string) || 'unknown',
)
const options: DynamicConnectionOptions = {
separator: '_',
start_index: 1,
rename_menu: 'label',
...opts,
}
const is_valid_name = (_node: MTBNode, _val: string): boolean => {
return true
}
nodeType.prototype.getSlotMenuOptions = (slot): ContextMenuItem[] | undefined => {
if (!slot.input) {
return undefined
}
infoLogger('Slot Menu', { slot })
return [
{
content: `Rename Input (${options.rename_menu})`,
callback: () => {
const dialog = app.canvas.createDialog(
"<span class='name'>Name</span><input autofocus type='text'/><button>OK</button>",
{},
) as HTMLElement & { close: () => void }
const dialogInput = dialog.querySelector('input') as HTMLInputElement | null
if (dialogInput) {
if (options.rename_menu === 'label') {
dialogInput.value = slot.input!.label || slot.input!.name || ''
} else if (options.rename_menu === 'name') {
dialogInput.value = slot.input!.name || ''
}
}
const inner = (): void => {
const val = dialogInput?.value || ''
if (!is_valid_name(slot.node, val)) {
dialog.close()
return
}
app.graph.beforeChange()
if (options.rename_menu === 'label') {
slot.input!.label = val
} else if (options.rename_menu === 'name') {
slot.input!.name = val
slot.input!.label = val
}
app.graph.afterChange()
dialog.close()
}
dialog.querySelector('button')?.addEventListener('click', inner)
dialogInput?.addEventListener('keydown', (e: KeyboardEvent) => {
;(dialog as HTMLElement & { is_modified?: boolean }).is_modified = true
if (e.keyCode === 27) {
dialog.close()
} else if (e.keyCode === 13) {
inner()
} else if (
e.keyCode !== 13 &&
(e.target as HTMLElement)?.localName !== 'textarea'
) {
return
}
e.preventDefault()
e.stopPropagation()
})
dialogInput?.focus()
},
},
]
}
const onConfigure = nodeType.prototype.onConfigure
nodeType.prototype.onConfigure = function (this: MTBNode, data: unknown) {
const r = onConfigure ? onConfigure.apply(this, [data]) : undefined
if (!('dynamic_connections' in this.properties)) {
this.setProperty('dynamic_connections', [])
} else {
const dynamic_connections = this.properties.dynamic_connections as string[] | string
if (typeof dynamic_connections !== 'object') {
return r
}
for (const name of dynamic_connections) {
infoLogger(`Would dynamize: ${name}`)
const input = this.inputs.find((i) => i.name === name)
if (input) {
infoLogger('Input found', { input })
input._isDynamic = true
}
}
}
set_slot_colors(this, ['cyan', undefined], isDynamicInput as SlotCondition)
return r
}
const onNodeCreated = nodeType.prototype.onNodeCreated
const inputList = typeof inputType === 'object'
nodeType.prototype.onNodeCreated = function (this: MTBNode) {
const r = onNodeCreated ? onNodeCreated.apply(this) : undefined
addDynamicInput(
this,
`${prefix}${options.separator}${options.start_index}`,
inputList ? '*' : (inputType as string),
)
return r
}
const onConnectionsChange = nodeType.prototype.onConnectionsChange
nodeType.prototype.onConnectionsChange = function (this: MTBNode, ...args) {
const [type, slotIndex, isConnected, link, ioSlot] = args
options.link = link
options.ioSlot = ioSlot
const r = onConnectionsChange
? onConnectionsChange.apply(this, [type, slotIndex, isConnected, link, ioSlot])
: undefined
options.DEBUG = {
node: this,
type,
slotIndex,
isConnected,
link,
ioSlot,
}
dynamic_connection(
this,
slotIndex,
isConnected,
`${prefix}${options.separator}`,
inputType,
options,
)
return r
}
}
/**
* Main logic around dynamic inputs
*/
export const dynamic_connection = (
node: MTBNode,
index: number,
connected: boolean,
connectionPrefix = 'input_',
connectionType: string | string[] = '*',
opts?: Partial<DynamicConnectionOptions>,
): void => {
const options: DynamicConnectionOptions = {
start_index: 1,
...opts,
}
if (node.inputs.length > 0 && !isDynamicInput(node.inputs[index])) {
return
}
const listConnection = typeof connectionType === 'object'
const conType = listConnection ? '*' : connectionType
const nameArray = options.nameArray || []
const clean_inputs = (): void => {
if (node.id < 0) return // being duplicated
if (node.inputs.length === 0) return
let w_count = node.widgets?.length || 0
let i_count = node.inputs?.length || 0
infoLogger(`Cleaning inputs: [BEFORE] (w: ${w_count} | inputs: ${i_count})`)
const to_remove: number[] = []
for (let n = 1; n < node.inputs.length; n++) {
const element = node.inputs[n]
if (!element.link && isDynamicInput(element)) {
if (node.widgets) {
const w = node.widgets.find((w) => w.name === element.name)
if (w) {
w.onRemoved?.()
node.widgets.length = node.widgets.length - 1
}
}
infoLogger(`Removing input ${n}`)
to_remove.push(n)
}
}
for (let i = 0; i < to_remove.length; i++) {
const id = to_remove[i]
try {
node.removeInput(id)
i_count -= 1
} catch (err) {
errorLogger('Cannot remove input', err)
}
}
node.inputs.length = i_count
w_count = node.widgets?.length || 0
i_count = node.inputs?.length || 0
infoLogger(`Cleaning inputs: [AFTER] (w: ${w_count} | inputs: ${i_count})`)
infoLogger('Cleaning inputs: making it sequential again')
// make inputs sequential again
let prefixed_idx = options.start_index!
for (let i = 0; i < node.inputs.length; i++) {
let name = ''
if (node.inputs[i].name.startsWith(connectionPrefix)) {
name = `${connectionPrefix}${prefixed_idx}`
prefixed_idx += 1
} else {
name = node.inputs[i].name
}
if (nameArray.length > 0) {
name = i < nameArray.length ? nameArray[i] : name
}
// preserve label if it exists
;(node.inputs[i] as INodeInputSlot & { label?: string }).label =
(node.inputs[i] as INodeInputSlot & { label?: string }).label || name
node.inputs[i].name = name
}
}
if (!connected) {
if (!options.link) {
infoLogger('Disconnecting', { options })
clean_inputs()
} else {
if (!options.ioSlot?.link) {
node.connectionTransit = true
} else {
node.connectionTransit = false
clean_inputs()
}
infoLogger('Reconnecting', { options })
}
}
if (connected) {
if (options.link) {
const { from, to, type } = nodesFromLink(node, options.link)
if (type === 'outgoing') return
infoLogger('Connecting', { options, from, to, type })
} else {
infoLogger('Connecting', { options })
}
if (node.connectionTransit) {
infoLogger('In Transit')
node.connectionTransit = false
}
clean_inputs()
if (node.inputs.length === 0) return
// add an extra input
if (node.inputs[node.inputs.length - 1].link !== null) {
const nextIndex = node.inputs.reduce(
(acc, cur) => (isDynamicInput(cur) ? ++acc : acc),
0,
)
const name =
nextIndex < nameArray.length
? nameArray[nextIndex]
: `${connectionPrefix}${nextIndex + options.start_index!}`
infoLogger(`Adding input ${nextIndex + 1} (${name})`)
addDynamicInput(node, name, conType as string)
}
}
}
-86
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@@ -1,86 +0,0 @@
/**
* MTB Shared Utilities
* Main entry point - re-exports all modules
*
* NOTE: This bundle does NOT auto-execute anything.
* Import the functions you need directly.
*/
// Types
export * from './types'
// Utilities
export {
getConvexHull,
makeUUID,
debounce,
deepMerge,
safe_json,
getNodes,
type Debounced,
} from './utils'
// Storage
export { LocalStorageManager } from './storage'
// Logging
export {
infoLogger,
warnLogger,
errorLogger,
successLogger,
log,
} from './logger'
// Widgets
export {
CONVERTED_TYPE,
hideWidget,
showWidget,
convertToWidget,
convertToInput,
hideWidgetForGood,
fixWidgets,
inner_value_change,
getNamedWidget,
nodesFromLink,
hasWidgets,
cleanupNode,
offsetDOMWidget,
getWidgetType,
} from './widgets'
// Dynamic connections
export {
setupDynamicConnections,
dynamic_connection,
} from './dynamic-connections'
// Colors
export { isColorBright } from './colors'
// DOM utilities
export {
calculateTotalChildrenHeight,
loadScript,
} from './dom'
// Documentation
export {
ensureMarkdownParser,
addDocumentation,
} from './documentation'
// Node extensions
export {
chainCallback,
addMenuHandler,
addDeprecation,
} from './node-extensions'
// Server API
export {
runAction,
getServerInfo,
setServerInfo,
} from './api'
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@@ -1,57 +0,0 @@
/**
* Logging utilities
*/
import { app } from '@/scripts/app'
type ConsoleMethod = 'log' | 'warn' | 'error' | 'debug'
type ToastSeverity = 'info' | 'warn' | 'error' | 'secondary'
const consoleMethodToSeverity = (method: ConsoleMethod): ToastSeverity => {
switch (method) {
case 'log':
return 'info'
case 'error':
case 'warn':
return method
default:
return 'secondary'
}
}
interface LogResult {
notify: (timeout?: number) => void
}
type Logger = (message: string, ...args: unknown[]) => LogResult
function createLogger(emoji: string, color: string, consoleMethod: ConsoleMethod = 'log'): Logger {
return (message: string, ...args: unknown[]): LogResult => {
if (window.MTB?.DEBUG) {
// biome-ignore lint/suspicious/noConsole: logger wrapper
console[consoleMethod](`%c${emoji} ${message}`, `color: ${color};`, ...args)
}
return {
notify: (timeout = 3000) => {
app.extensionManager?.toast?.add({
severity: consoleMethodToSeverity(consoleMethod),
summary: 'MTB',
detail: `${emoji} ${message}`,
life: timeout,
})
},
}
}
}
export const infoLogger = createLogger('ℹ️', 'yellow')
export const warnLogger = createLogger('⚠️', 'orange', 'warn')
export const errorLogger = createLogger('🔥', 'red', 'error')
export const successLogger = createLogger('✅', 'green')
export const log = (...args: unknown[]): void => {
if (window.MTB?.DEBUG) {
// biome-ignore lint/suspicious/noConsole: logger wrapper
console.debug(...args)
}
}
@@ -1,69 +0,0 @@
/**
* Node extension utilities
*/
import type { MTBNode, NodeType, ContextMenuItem } from './types'
import { errorLogger } from './logger'
/**
* Extend an object, either replacing the original property or extending it.
*/
export function chainCallback<T extends object, K extends keyof T>(
object: T | undefined,
property: K,
callback: T[K],
): void {
if (object === undefined) {
errorLogger('Could not extend undefined object', { object, property })
return
}
if (property in object) {
const callback_orig = object[property] as ((...args: unknown[]) => unknown) | undefined
;(object as Record<K, unknown>)[property] = function (
this: unknown,
...args: unknown[]
): unknown {
const r = callback_orig?.apply(this, args)
const n = (callback as (...args: unknown[]) => unknown).apply(this, args)
return r || n
}
} else {
object[property] = callback
}
}
/**
* Appends a callback to the extra menu options of a given node type.
*/
export function addMenuHandler(
nodeType: NodeType,
cb: (this: MTBNode, app: unknown, options: ContextMenuItem[]) => ContextMenuItem[],
): void {
const getOpts = nodeType.prototype.getExtraMenuOptions
nodeType.prototype.getExtraMenuOptions = function (
this: MTBNode,
app: unknown,
options: ContextMenuItem[],
): ContextMenuItem[] {
const r = getOpts?.apply(this, [app, options]) || []
const newItems = cb.apply(this, [app, options]) || []
return [...r, ...newItems]
}
}
/**
* Prefixes the node title with '[DEPRECATED]' and log the deprecation reason to the console.
*/
export const addDeprecation = (nodeType: NodeType, reason: string): void => {
const title = nodeType.title || 'Unknown'
nodeType.title = `[DEPRECATED] ${title}`
const styles = {
title: 'font-size:1.3em;font-weight:900;color:yellow; background: black',
reason: 'font-size:1.2em',
}
// biome-ignore lint/suspicious/noConsole: intentional deprecation warning
console.log(`%c! ${title} is deprecated:%c ${reason}`, styles.title, styles.reason)
}
-37
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@@ -1,37 +0,0 @@
/**
* Local storage management with namespacing
*/
export class LocalStorageManager {
private namespace: string
constructor(namespace: string) {
this.namespace = namespace
}
private _namespacedKey(key: string): string {
return `${this.namespace}:${key}`
}
set<T>(key: string, value: T): void {
const serializedValue = JSON.stringify(value)
localStorage.setItem(this._namespacedKey(key), serializedValue)
}
get<T>(key: string, default_val: T | null = null): T | null {
const value = localStorage.getItem(this._namespacedKey(key))
return value ? (JSON.parse(value) as T) : default_val
}
remove(key: string): void {
localStorage.removeItem(this._namespacedKey(key))
}
clear(): void {
const prefix = `${this.namespace}:`
const keysToRemove = Object.keys(localStorage).filter((k) => k.startsWith(prefix))
for (const key of keysToRemove) {
localStorage.removeItem(key)
}
}
}
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@@ -1,128 +0,0 @@
/**
* Type definitions for comfy_shared
*/
import type { LGraphNode, IWidget, LLink, INodeInputSlot, INodeOutputSlot } from '@comfyorg/litegraph'
// Extend window for MTB globals
declare global {
interface Window {
MTB?: {
DEBUG?: boolean
mdParser?: MarkdownParser
}
MTBMarkdown?: { getParser: () => Promise<MarkdownParser> }
MTBMarkdownPlus?: { getParser: () => Promise<MarkdownParser> }
}
const LiteGraph: {
NODE_SLOT_HEIGHT: number
NODE_TITLE_HEIGHT: number
NODE_COLLAPSED_RADIUS: number
}
}
export interface MarkdownParser {
parse: (content: string) => Promise<string>
}
// Widget types
export interface MTBWidget extends IWidget {
origType?: string
origComputeSize?: () => [number, number]
origSerializeValue?: () => unknown
hidden?: boolean
linkedWidgets?: MTBWidget[]
last_y?: number
canvas?: HTMLCanvasElement
inputEl?: HTMLElement
onRemoved?: () => void
parent?: { inputHeight?: number }
}
export interface MTBNode extends LGraphNode {
widgets?: MTBWidget[]
inputs: (INodeInputSlot & { widget?: { name: string; config?: unknown }; _isDynamic?: boolean })[]
outputs: INodeOutputSlot[]
properties: Record<string, unknown>
color?: string
flags: { collapsed?: boolean }
show_doc?: boolean
docCtrl?: AbortController
docPos?: { width: string; height: string }
connectionTransit?: boolean
setProperty: (name: string, value: unknown) => void
addInput: (name: string, type: string, extra?: Record<string, unknown>) => INodeInputSlot
removeInput: (index: number) => void
setSize: (size: [number, number]) => void
graph: {
getLink: (id: number) => LLink
getNodeById: (id: number) => MTBNode
beforeChange: () => void
afterChange: () => void
}
slots: (INodeInputSlot | INodeOutputSlot)[]
}
export interface NodeType {
title?: string
prototype: {
onNodeCreated?: (this: MTBNode) => void
onConfigure?: (this: MTBNode, data: unknown) => void
onConnectionsChange?: (this: MTBNode, ...args: OnConnectionsChangeParams) => void
onDrawForeground?: (this: MTBNode, ctx: CanvasRenderingContext2D, canvas: unknown) => void
onMouseDown?: (this: MTBNode, ...args: OnMouseDownParams) => boolean | void
onRemoved?: (this: MTBNode) => void
getExtraMenuOptions?: (this: MTBNode, app: unknown, options: ContextMenuItem[]) => ContextMenuItem[]
getSlotMenuOptions?: (slot: SlotMenuContext) => ContextMenuItem[]
}
}
export interface NodeData {
name: string
description?: string
}
export type OnConnectionsChangeParams = [
type: number,
slotIndex: number,
isConnected: boolean,
link: LLink | null,
ioSlot: INodeInputSlot | INodeOutputSlot,
]
export type OnMouseDownParams = [
event: MouseEvent,
localPos: [number, number],
graphCanvas: unknown,
]
export interface ContextMenuItem {
content: string
callback?: (...args: unknown[]) => void
}
export interface SlotMenuContext {
input?: INodeInputSlot & { label?: string; name: string }
node: MTBNode
}
export interface DocumentationOptions {
icon_size?: number
icon_margin?: number
}
export interface DynamicConnectionOptions {
separator?: string
rename_menu?: 'label' | 'name'
start_index?: number
link?: LLink | null
ioSlot?: INodeInputSlot | INodeOutputSlot
nameArray?: string[]
DEBUG?: unknown
}
export interface LinkInfo {
to: MTBNode
from: MTBNode
type: 'error' | 'incoming' | 'outgoing'
}
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@@ -1,183 +0,0 @@
/**
* Base utilities
*/
/**
* Computes the convex hull of a set of points using the Monotone Chain algorithm.
*/
export const getConvexHull = (points: [number, number][]): [number, number][] => {
if (points.length <= 3) {
return points
}
const sorted = [...points].sort((a, b) => a[0] - b[0] || a[1] - b[1])
const cross_product = (o: [number, number], a: [number, number], b: [number, number]) => {
return (a[0] - o[0]) * (b[1] - o[1]) - (a[1] - o[1]) * (b[0] - o[0])
}
const lower: [number, number][] = []
for (const p of sorted) {
while (
lower.length >= 2 &&
cross_product(lower[lower.length - 2], lower[lower.length - 1], p) <= 0
) {
lower.pop()
}
lower.push(p)
}
const upper: [number, number][] = []
for (let i = sorted.length - 1; i >= 0; i--) {
const p = sorted[i]
while (
upper.length >= 2 &&
cross_product(upper[upper.length - 2], upper[upper.length - 1], p) <= 0
) {
upper.pop()
}
upper.push(p)
}
return lower.slice(0, lower.length - 1).concat(upper.slice(0, upper.length - 1))
}
/**
* Generates a crude UUID v4
*/
export function makeUUID(): string {
let dt = new Date().getTime()
const uuid = 'xxxxxxxx-xxxx-4xxx-yxxx-xxxxxxxxxxxx'.replace(/[xy]/g, (c) => {
const r = ((dt + Math.random() * 16) % 16) | 0
dt = Math.floor(dt / 16)
return (c === 'x' ? r : (r & 0x3) | 0x8).toString(16)
})
return uuid
}
export interface Debounced<T extends (...args: unknown[]) => void> {
(...args: Parameters<T>): void
cancel: () => void
}
/**
* Basic debounce decorator
*/
export function debounce<T extends (...args: unknown[]) => void>(
func: T,
delay: number,
): Debounced<T> {
let timeout: ReturnType<typeof setTimeout> | undefined
const debounced = function (this: unknown, ...args: Parameters<T>) {
clearTimeout(timeout)
timeout = setTimeout(() => func.apply(this, args), delay)
} as Debounced<T>
debounced.cancel = () => {
clearTimeout(timeout)
}
return debounced
}
/**
* Deep merge two objects.
*/
export function deepMerge<T extends Record<string, unknown>>(
target: T,
...sources: Partial<T>[]
): T {
if (!sources.length) return target
const source = sources.shift()
if (source) {
for (const key in source) {
const sourceValue = source[key]
if (sourceValue instanceof Object && !Array.isArray(sourceValue)) {
if (!target[key]) Object.assign(target, { [key]: {} })
deepMerge(target[key] as Record<string, unknown>, sourceValue as Record<string, unknown>)
} else {
Object.assign(target, { [key]: sourceValue })
}
}
}
return deepMerge(target, ...sources)
}
type Replacer = (value: unknown) => unknown
/**
* Safely serialize an object to JSON, handling circular references
*/
export const safe_json = (object: unknown, replacer?: Replacer): unknown => {
const objects = new WeakMap<object, string>()
const derez = (value: unknown, path: string): unknown => {
if (replacer !== undefined) {
value = replacer(value)
}
if (
typeof value === 'object' &&
value !== null &&
!(value instanceof Boolean) &&
!(value instanceof Date) &&
!(value instanceof Number) &&
!(value instanceof RegExp) &&
!(value instanceof String)
) {
const old_path = objects.get(value)
if (old_path !== undefined) {
return { $ref: old_path }
}
objects.set(value, path)
if (Array.isArray(value)) {
const nu: unknown[] = []
value.forEach((element, i) => {
nu[i] = derez(element, `${path}[${i}]`)
})
return nu
} else {
const nu: Record<string, unknown> = {}
Object.keys(value).forEach((name) => {
nu[name] = derez(
(value as Record<string, unknown>)[name],
path + '[' + JSON.stringify(name) + ']',
)
})
return nu
}
}
return value
}
return derez(object, '$')
}
// Declare app global for ComfyUI
declare const app: {
graph: {
_nodes: import('./types').MTBNode[]
computeExecutionOrder?: (onlyOnExecute: boolean) => import('./types').MTBNode[]
}
}
/**
* Get all nodes from the current graph
* @param sorted - If true, returns nodes in execution order
*/
export function getNodes(sorted = false): import('./types').MTBNode[] {
if (!app?.graph?._nodes) {
return []
}
if (sorted) {
// computeExecutionOrder returns nodes in dependency order
return app.graph.computeExecutionOrder?.(false) ?? app.graph._nodes
}
return app.graph._nodes
}
-264
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@@ -1,264 +0,0 @@
/**
* Widget utilities for LiteGraph nodes
*/
import type { LLink } from '@comfyorg/litegraph'
import type { MTBNode, MTBWidget, LinkInfo } from './types'
import { log } from './logger'
export const CONVERTED_TYPE = 'converted-widget'
export function hideWidget(node: MTBNode, widget: MTBWidget, suffix = ''): void {
widget.origType = widget.type as string
widget.hidden = true
widget.origComputeSize = widget.computeSize
widget.origSerializeValue = widget.serializeValue
widget.computeSize = () => [0, -4] // -4 is due to the gap litegraph adds between widgets automatically
widget.type = CONVERTED_TYPE + suffix
widget.serializeValue = () => {
// Prevent serializing the widget if we have no input linked
const input = node.inputs?.find((i) => i.widget?.name === widget.name)
if (input?.link == null) {
return undefined
}
return widget.origSerializeValue ? widget.origSerializeValue() : widget.value
}
// Hide any linked widgets, e.g. seed+seedControl
if (widget.linkedWidgets) {
for (const w of widget.linkedWidgets) {
hideWidget(node, w, `:${widget.name}`)
}
}
}
export function showWidget(widget: MTBWidget): void {
widget.type = widget.origType!
widget.computeSize = widget.origComputeSize!
widget.serializeValue = widget.origSerializeValue
delete widget.origType
delete widget.origComputeSize
delete widget.origSerializeValue
// Show any linked widgets, e.g. seed+seedControl
if (widget.linkedWidgets) {
for (const w of widget.linkedWidgets) {
showWidget(w)
}
}
}
export function convertToWidget(node: MTBNode, widget: MTBWidget): void {
showWidget(widget)
const sz = node.size
const inputIndex = node.inputs.findIndex((i) => i.widget?.name === widget.name)
if (inputIndex >= 0) {
node.removeInput(inputIndex)
}
if (node.widgets) {
for (const w of node.widgets) {
if (w.last_y !== undefined) {
w.last_y -= LiteGraph.NODE_SLOT_HEIGHT
}
}
}
// Restore original size but grow if needed
node.setSize([Math.max(sz[0], node.size[0]), Math.max(sz[1], node.size[1])])
}
/**
* Extracts the type and link type from a widget config object.
*/
export function getWidgetType(config: unknown[]): { type: string; linkType: string } {
let type = config?.[0]
let linkType = type as string
if (Array.isArray(type)) {
linkType = type.join(',')
type = 'COMBO'
}
return { type: type as string, linkType }
}
export function convertToInput(
node: MTBNode,
widget: MTBWidget,
config: unknown[],
): void {
hideWidget(node, widget)
const { linkType } = getWidgetType(config)
// Add input and store widget config for creating on primitive node
const sz = node.size
node.addInput(widget.name, linkType, {
widget: { name: widget.name, config },
})
if (node.widgets) {
for (const w of node.widgets) {
if (w.last_y !== undefined) {
w.last_y += LiteGraph.NODE_SLOT_HEIGHT
}
}
}
// Restore original size but grow if needed
node.setSize([Math.max(sz[0], node.size[0]), Math.max(sz[1], node.size[1])])
}
export function hideWidgetForGood(node: MTBNode, widget: MTBWidget, suffix = ''): void {
widget.origType = widget.type as string
widget.origComputeSize = widget.computeSize
widget.origSerializeValue = widget.serializeValue
widget.computeSize = () => [0, -4]
widget.hidden = true
widget.type = CONVERTED_TYPE + suffix
// Hide any linked widgets
if (widget.linkedWidgets) {
for (const w of widget.linkedWidgets) {
hideWidgetForGood(node, w, `:${widget.name}`)
}
}
}
export function fixWidgets(node: MTBNode): void {
if (!node.inputs) return
for (const input of node.inputs) {
log(input)
if (input.widget || node.widgets) {
const matching_widget = node.widgets?.find((w) => w.name === input.name)
if (matching_widget) {
const w = node.widgets?.find((w) => w.name === matching_widget.name)
if (w && w.type !== CONVERTED_TYPE) {
log(w)
log(`hiding ${w.name}(${w.type}) from ${node.type}`)
log(node)
hideWidget(node, w)
} else {
log(`converting to widget ${w}`)
if (w) convertToWidget(node, w)
}
}
}
}
}
export function inner_value_change(
node: MTBNode,
widget: MTBWidget,
val: unknown,
pos?: [number, number],
event?: Event,
): void {
let value = val
if (widget.type === 'number' || widget.type === 'BBOX') {
value = Number(value)
} else if (widget.type === 'BOOL') {
value = Boolean(value)
}
widget.value = value
const property = (widget.options as { property?: string } | undefined)?.property
if (property && node.properties[property] !== undefined) {
node.setProperty(property, value)
}
if (widget.callback) {
// @ts-expect-error - app is global in ComfyUI
widget.callback(widget.value, app.canvas, node, pos, event)
}
}
export const getNamedWidget = <T extends string>(
node: MTBNode,
...names: T[]
): Record<T, MTBWidget | undefined> => {
const out = {} as Record<T, MTBWidget | undefined>
for (const name of names) {
out[name] = node.widgets?.find((w) => w.name === name)
}
return out
}
export const nodesFromLink = (node: MTBNode, link: LLink | number): LinkInfo => {
let resolvedLink: LLink
if (typeof link === 'number') {
resolvedLink = node.graph.getLink(link)
} else {
resolvedLink = link
}
const fromNode = node.graph.getNodeById(resolvedLink.origin_id)
const toNode = node.graph.getNodeById(resolvedLink.target_id)
let tp: 'error' | 'incoming' | 'outgoing' = 'error'
if (fromNode.id === node.id) {
tp = 'outgoing'
} else if (toNode.id === node.id) {
tp = 'incoming'
}
return { to: toNode, from: fromNode, type: tp }
}
export const hasWidgets = (node: MTBNode): boolean => {
if (!node.widgets || !node.widgets?.[Symbol.iterator]) {
return false
}
return true
}
export const cleanupNode = (node: MTBNode): void => {
if (!hasWidgets(node)) {
return
}
for (const w of node.widgets!) {
if (w.canvas) {
w.canvas.remove()
}
if (w.inputEl) {
w.inputEl.remove()
}
w.onRemoved?.()
}
}
export function offsetDOMWidget(
widget: MTBWidget,
ctx: CanvasRenderingContext2D,
node: MTBNode,
widgetWidth: number,
widgetY: number,
height?: number,
): void {
if (!widget.inputEl) return
const margin = 10
const elRect = ctx.canvas.getBoundingClientRect()
const transform = new DOMMatrix()
.scaleSelf(elRect.width / ctx.canvas.width, elRect.height / ctx.canvas.height)
.multiplySelf(ctx.getTransform())
.translateSelf(margin, margin + widgetY)
const scale = new DOMMatrix().scaleSelf(transform.a, transform.d)
Object.assign(widget.inputEl.style, {
transformOrigin: '0 0',
transform: scale.toString(),
left: `${transform.a + transform.e}px`,
top: `${transform.d + transform.f}px`,
width: `${widgetWidth - margin * 2}px`,
height: `${(height || widget.parent?.inputHeight || 32) - margin * 2}px`,
position: 'absolute',
background: !node.color ? '' : node.color,
color: !node.color ? '' : 'white',
zIndex: '5',
})
}
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@@ -1,15 +0,0 @@
// import './app.css'
// import App from './App.svelte'
import Inspector from './lib/Inspector.svelte'
export const createOutliner = (target, opts) => {
const options = opts || {}
const tgt = target || document.body
const app = new Inspector({
// target: document.getElementById('app'),
target: tgt,
props: options,
})
return app
}
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@@ -1,258 +0,0 @@
<script lang="ts">
import { fade } from 'svelte/transition'
import { resizeHandle } from './actions.js'
import InspectorPreview from './InspectorPreview.svelte'
import Tabs from './Tabs.svelte'
import TabUi from './TabUI.svelte'
import TabHelp from './TabHelp.svelte'
import { inComfy } from './utils'
import { onMount } from 'svelte'
import { graphToPrompt } from '../mtb_api/graph-to-prompt'
interface InputItem {
id: number
name: string
type: string
options?: string[]
[key: string]: unknown
}
let {
visible = true,
inputs = {} as Record<string, InputItem>,
} = $props()
const items = $derived(
Object.keys(inputs).map((k) => ({
...inputs[k],
original_name: inputs[k].original_name ?? k,
}))
)
onMount(() => {
console.log('Mounted API Inspector')
})
async function exportApi() {
if (!inComfy()) return
// @ts-expect-error - app is global in ComfyUI
const { output } = await graphToPrompt(app)
const json = JSON.stringify(output, null, 2)
const blob = new Blob([json], { type: 'application/json' })
const url = URL.createObjectURL(blob)
const a = document.createElement('a')
a.href = url
a.download = 'workflow_api.json'
a.click()
URL.revokeObjectURL(url)
}
</script>
{#if visible}
<div transition:fade={{ duration: 120 }} use:resizeHandle class="mtb-panel">
<header class="mtb-panel-header">
<div class="mtb-panel-title">
<span class="mtb-panel-icon">&#9889;</span>
<span>API Controls</span>
</div>
<span class="mtb-panel-badge">{items.length}</span>
</header>
<div class="mtb-panel-content">
<InspectorPreview />
<Tabs
items={[
{
label: 'Inputs',
value: 1,
component: TabUi,
props: { inputs: items },
},
{
label: 'Help',
value: 2,
component: TabHelp,
props: {},
},
]}
/>
</div>
<footer class="mtb-panel-footer">
<button class="mtb-btn mtb-btn-primary" onclick={() => {
if (!inComfy()) return
// @ts-expect-error - app is global in ComfyUI
app.queuePrompt(0, 1)
}}>
<span class="mtb-btn-icon">&#9654;</span>
Queue
</button>
<button class="mtb-btn mtb-btn-secondary" onclick={exportApi}>Export</button>
</footer>
<div class="mtb-panel-status">
<span class="mtb-status-dot"></span>
<span>Ready</span>
</div>
</div>
{/if}
<style>
/* MTB Panel - Vercel-inspired minimal design */
.mtb-panel {
display: flex;
flex-direction: column;
height: 100%;
background: var(--comfy-menu-bg, #1a1a1a);
color: var(--fg-color, #fafafa);
font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif;
font-size: 13px;
line-height: 1.5;
-webkit-font-smoothing: antialiased;
}
/* Header */
.mtb-panel-header {
display: flex;
align-items: center;
justify-content: space-between;
padding: 12px 16px;
border-bottom: 1px solid var(--border-color, rgba(255,255,255,0.08));
background: var(--comfy-menu-bg, #1a1a1a);
}
.mtb-panel-title {
display: flex;
align-items: center;
gap: 8px;
font-weight: 500;
font-size: 13px;
letter-spacing: -0.01em;
}
.mtb-panel-icon {
font-size: 14px;
opacity: 0.9;
}
.mtb-panel-badge {
display: inline-flex;
align-items: center;
justify-content: center;
min-width: 20px;
height: 20px;
padding: 0 6px;
background: var(--mtb-api-color, #2930b0);
color: white;
font-size: 11px;
font-weight: 600;
border-radius: 10px;
}
/* Content */
.mtb-panel-content {
flex: 1;
overflow-y: auto;
overflow-x: hidden;
scrollbar-width: thin;
scrollbar-color: var(--fg-color, #888) transparent;
}
.mtb-panel-content::-webkit-scrollbar {
width: 6px;
}
.mtb-panel-content::-webkit-scrollbar-track {
background: transparent;
}
.mtb-panel-content::-webkit-scrollbar-thumb {
background: var(--border-color, rgba(255,255,255,0.15));
border-radius: 3px;
}
.mtb-panel-content::-webkit-scrollbar-thumb:hover {
background: var(--fg-color, rgba(255,255,255,0.25));
}
/* Footer */
.mtb-panel-footer {
display: flex;
gap: 8px;
padding: 12px 16px;
border-top: 1px solid var(--border-color, rgba(255,255,255,0.08));
}
/* Buttons */
.mtb-btn {
flex: 1;
display: inline-flex;
align-items: center;
justify-content: center;
gap: 6px;
height: 32px;
padding: 0 12px;
font-size: 12px;
font-weight: 500;
border-radius: 6px;
border: none;
cursor: pointer;
transition: all 0.15s ease;
}
.mtb-btn-primary {
background: var(--mtb-api-color, #2930b0);
color: white;
}
.mtb-btn-primary:hover {
background: color-mix(in srgb, var(--mtb-api-color, #2930b0), white 10%);
transform: translateY(-1px);
}
.mtb-btn-secondary {
background: var(--comfy-input-bg, rgba(255,255,255,0.05));
color: var(--fg-color, #fafafa);
border: 1px solid var(--border-color, rgba(255,255,255,0.1));
}
.mtb-btn-secondary:hover {
background: var(--border-color, rgba(255,255,255,0.1));
border-color: var(--fg-color, rgba(255,255,255,0.2));
}
.mtb-btn-icon {
font-size: 10px;
}
/* Status bar */
.mtb-panel-status {
display: flex;
align-items: center;
justify-content: center;
gap: 6px;
padding: 6px 16px;
font-size: 11px;
color: var(--descrip-text, rgba(255,255,255,0.5));
background: rgba(0,0,0,0.2);
}
.mtb-status-dot {
width: 6px;
height: 6px;
background: #10b981;
border-radius: 50%;
animation: pulse 2s ease-in-out infinite;
}
@keyframes pulse {
0%, 100% { opacity: 1; }
50% { opacity: 0.5; }
}
</style>
-212
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@@ -1,212 +0,0 @@
<script lang="ts">
import ColorPicker, { ChromeVariant } from 'svelte-awesome-color-picker'
import Wrapper from './Wrapper.svelte'
let element: HTMLElement
let {
item = { type: 'NUMBER' },
onInput = (e: Event, val?: unknown) => console.log(e, val),
id = undefined,
value = $bindable(''),
} = $props()
const shared = {
autocomplete: 'off',
'data-lpignore': true,
'data-form-type': 'other',
}
</script>
<div class="mtb-input-wrapper">
{#if item.type === 'NUMBER'}
<input
class="mtb-input"
oninput={onInput}
{...shared}
{id}
bind:value
bind:this={element}
type="number"
/>
{:else if item.type === 'MODEL' || item.type === 'COMBO'}
{@const options = item.options || item.widgets?.[0]?.options?.values || []}
<select class="mtb-select" oninput={onInput} bind:value {...shared} {id} bind:this={element}>
{#each options as option}
<option selected={item.widget?.value === option} value={option}>{option}</option>
{/each}
</select>
{:else if item.type === 'STRING'}
{#if item.widgets?.[0]?.type === 'customtext'}
<textarea
class="mtb-textarea"
oninput={onInput}
bind:value
{...shared}
{id}
bind:this={element}
rows="3"
></textarea>
{:else}
<input
class="mtb-input"
oninput={onInput}
bind:value
{...shared}
{id}
type="text"
bind:this={element}
/>
{/if}
{:else if item.type === 'BOOLEAN'}
{@const isChecked = value === true || value === 'true' || value === 1 || value === '1' || value === 'on'}
<label class="mtb-toggle">
<input
type="checkbox"
checked={isChecked}
onchange={(e) => {
// ComfyUI toggles use booleans - 'off' string is truthy so doesn't work!
const newValue = e.currentTarget.checked
value = newValue
onInput(e, newValue)
}}
/>
<span class="mtb-toggle-slider"></span>
<span class="mtb-toggle-label">{isChecked ? 'On' : 'Off'}</span>
</label>
{:else if item.type === 'COLOR'}
<ColorPicker
label=""
bind:hex={value}
components={{ ...ChromeVariant, wrapper: Wrapper }}
sliderDirection="horizontal"
--picker-z-index="9000"
oninput={(event) => {
value = event.detail.hex
}}
/>
{:else}
<input class="mtb-input" oninput={onInput} bind:value {...shared} {id} bind:this={element} />
{/if}
</div>
<style>
.mtb-input-wrapper {
width: 100%;
}
/* Base input styles */
.mtb-input,
.mtb-select,
.mtb-textarea {
width: 100%;
padding: 8px 12px;
font-size: 13px;
font-family: inherit;
color: var(--fg-color, #fafafa);
background: var(--comfy-input-bg, rgba(255,255,255,0.05));
border: 1px solid var(--border-color, rgba(255,255,255,0.1));
border-radius: 6px;
outline: none;
transition: all 0.15s ease;
}
.mtb-input:hover,
.mtb-select:hover,
.mtb-textarea:hover {
border-color: var(--border-color, rgba(255,255,255,0.2));
}
.mtb-input:focus,
.mtb-select:focus,
.mtb-textarea:focus {
border-color: var(--mtb-api-color, #2930b0);
box-shadow: 0 0 0 3px rgba(41, 48, 176, 0.15);
}
/* Number input */
.mtb-input[type='number'] {
font-variant-numeric: tabular-nums;
}
.mtb-input[type='number']::-webkit-inner-spin-button,
.mtb-input[type='number']::-webkit-outer-spin-button {
opacity: 0;
}
.mtb-input[type='number']:hover::-webkit-inner-spin-button,
.mtb-input[type='number']:hover::-webkit-outer-spin-button {
opacity: 1;
}
/* Select */
.mtb-select {
cursor: pointer;
appearance: none;
background-image: url("data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' width='12' height='12' viewBox='0 0 24 24' fill='none' stroke='%23888' stroke-width='2'%3E%3Cpolyline points='6 9 12 15 18 9'%3E%3C/polyline%3E%3C/svg%3E");
background-repeat: no-repeat;
background-position: right 12px center;
padding-right: 36px;
}
.mtb-select option {
background: var(--comfy-menu-bg, #1a1a1a);
color: var(--fg-color, #fafafa);
}
/* Textarea */
.mtb-textarea {
resize: vertical;
min-height: 60px;
line-height: 1.5;
}
/* Toggle switch */
.mtb-toggle {
display: inline-flex;
align-items: center;
gap: 10px;
cursor: pointer;
}
.mtb-toggle input {
position: absolute;
opacity: 0;
width: 0;
height: 0;
}
.mtb-toggle-slider {
position: relative;
width: 36px;
height: 20px;
background: var(--border-color, rgba(255,255,255,0.15));
border-radius: 10px;
transition: all 0.2s ease;
}
.mtb-toggle-slider::after {
content: '';
position: absolute;
top: 2px;
left: 2px;
width: 16px;
height: 16px;
background: white;
border-radius: 50%;
transition: transform 0.2s ease;
}
.mtb-toggle input:checked + .mtb-toggle-slider {
background: var(--mtb-api-color, #2930b0);
}
.mtb-toggle input:checked + .mtb-toggle-slider::after {
transform: translateX(16px);
}
.mtb-toggle-label {
font-size: 12px;
color: var(--descrip-text, rgba(255,255,255,0.6));
}
</style>
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<script lang="ts">
import { onMount, untrack } from 'svelte'
import InspectorInput from './InspectorInput.svelte'
import { inComfy } from './utils.js'
interface ItemType {
name: string
type: string
node_id?: number
id: number
value?: unknown
widgets?: { value: unknown }[]
options?: string[]
[key: string]: unknown
}
interface Action {
label: string
icon?: string
callback: () => void
}
let {
item = {
name: 'KSampler',
type: 'STRING',
node_id: 123,
id: 4,
} as ItemType,
extra_actions = {} as Record<string, Action>,
} = $props()
let actions = $state<Record<string, Action>>({})
// Derive value from widget - updates when widget value changes
const getWidgetValue = () => item.widgets?.[0]?.value ?? item.value ?? ''
let value = $state<unknown>(getWidgetValue())
// Sync value from widget when it changes (Node → Panel)
// Use untrack to prevent reacting to local value changes (avoids reverting user input)
$effect(() => {
const widgetVal = getWidgetValue()
untrack(() => {
if (widgetVal !== value) {
value = widgetVal
}
})
})
onMount(() => {
actions = {
goToNode: {
label: 'Focus',
icon: '↗',
callback: () => {
const id = item.node_id
if (!id) return
if (!inComfy()) return
// @ts-expect-error - app is global in ComfyUI
const app = window.app
const node = app.graph.getNodeById(id)
app.canvas.centerOnNode(node)
app.canvas.setZoom(1)
app.canvas.selectNode(node)
},
},
...extra_actions,
}
if (item.name.toLowerCase() === 'seed') {
actions.randomize = {
label: 'Random',
icon: '⚄',
callback: () => {
value = Math.floor(Math.random() * 1e9)
if (!inComfy()) return
onInput(null, value)
// @ts-expect-error - app is global in ComfyUI
window.app.canvas.setDirty(true)
},
}
}
})
const onInput = (e: Event | null, val?: unknown) => {
if (!inComfy()) return
if (item.widgets) {
for (const w of item.widgets as Array<{
value: unknown
callback?: (value: unknown) => void
options?: { callback?: (value: unknown) => void }
}>) {
const newVal = val ?? (e?.target as HTMLInputElement)?.value
w.value = newVal
// Trigger widget callback to notify ComfyUI of the change
w.callback?.(newVal)
w.options?.callback?.(newVal)
}
// @ts-expect-error - app is global in ComfyUI
window.app.canvas.setDirty(true)
}
}
const typeLabels: Record<string, string> = {
STRING: 'Text',
NUMBER: 'Number',
COMBO: 'Select',
MODEL: 'Model',
BOOLEAN: 'Toggle',
IMAGE: 'Image',
COLOR: 'Color',
}
</script>
<div class="mtb-input-row">
<div class="mtb-input-header">
<label class="mtb-input-label" for="input-{item.id}">{item.name}</label>
<span class="mtb-input-type">{typeLabels[item.type] || item.type}</span>
</div>
<div class="mtb-input-field">
<InspectorInput {onInput} bind:value id={item.id} {item} />
</div>
{#if Object.keys(actions).length > 0}
<div class="mtb-input-actions">
{#each Object.keys(actions) as k}
{@const action = actions[k]}
<button
class="mtb-action-btn"
onclick={action.callback}
title={action.label}
>
{#if action.icon}
<span class="mtb-action-icon">{action.icon}</span>
{/if}
</button>
{/each}
</div>
{/if}
</div>
<style>
.mtb-input-row {
display: flex;
flex-direction: column;
gap: 6px;
padding: 12px 16px;
border-bottom: 1px solid var(--border-color, rgba(255,255,255,0.06));
transition: background 0.15s ease;
}
.mtb-input-row:hover {
background: rgba(255,255,255,0.02);
}
.mtb-input-row:last-child {
border-bottom: none;
}
.mtb-input-header {
display: flex;
align-items: center;
justify-content: space-between;
gap: 8px;
}
.mtb-input-label {
font-size: 12px;
font-weight: 500;
color: var(--fg-color, #fafafa);
letter-spacing: -0.01em;
}
.mtb-input-type {
font-size: 10px;
font-weight: 500;
text-transform: uppercase;
letter-spacing: 0.05em;
color: var(--descrip-text, rgba(255,255,255,0.4));
padding: 2px 6px;
background: rgba(255,255,255,0.05);
border-radius: 4px;
}
.mtb-input-field {
display: flex;
gap: 8px;
}
.mtb-input-actions {
display: flex;
gap: 4px;
margin-top: 4px;
}
.mtb-action-btn {
display: inline-flex;
align-items: center;
justify-content: center;
width: 24px;
height: 24px;
padding: 0;
background: transparent;
border: 1px solid var(--border-color, rgba(255,255,255,0.1));
border-radius: 4px;
color: var(--descrip-text, rgba(255,255,255,0.5));
cursor: pointer;
transition: all 0.15s ease;
}
.mtb-action-btn:hover {
background: var(--mtb-api-color, #2930b0);
border-color: var(--mtb-api-color, #2930b0);
color: white;
transform: translateY(-1px);
}
.mtb-action-icon {
font-size: 12px;
}
</style>
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<script lang="ts">
import { onMount } from 'svelte'
import { inComfy } from './utils'
import type { NodeId } from '@comfyorg/litegraph'
import type { ComfyApi } from '@comfyorg/comfyui-frontend-types'
let nodeId: NodeId | undefined = $state()
let img: string | undefined = $state()
const show = (src: string, node?: NodeId | null) => {
img = src
nodeId = Number(node)
}
let api: ComfyApi
onMount(() => {
if (!inComfy()) return
import('@/scripts/api').then((e) => {
api = e.api
api.addEventListener('executed', ({ detail }) => {
const images = detail?.output?.images
if (!images || !images.length) return
const format = window.app?.getPreviewFormatParam()
const src = [
`./view?filename=${encodeURIComponent(images[0].filename)}`,
`type=${images[0].type}`,
`subfolder=${encodeURIComponent(images[0].subfolder)}`,
`t=${+new Date()}${format}`,
].join('&')
show(src, detail.node)
})
api.addEventListener('b_preview', ({ detail }) => {
show(URL.createObjectURL(detail), window.app?.runningNodeId)
})
})
})
</script>
<button
class="mtb-preview"
onclick={(e) => {
if (!inComfy()) return
e.stopPropagation()
e.preventDefault()
const node = window.app?.graph.getNodeById(nodeId)
if (!node) return
window.app?.canvas.centerOnNode(node)
window.app?.canvas.setZoom(1)
}}
>
{#if img}
<img src={img} alt="Preview output" />
{:else}
<div class="mtb-preview-empty">
<span class="mtb-preview-icon">🖼</span>
<span class="mtb-preview-text">No preview yet</span>
</div>
{/if}
</button>
<style>
.mtb-preview {
width: 100%;
min-height: 180px;
max-height: 320px;
display: flex;
align-items: center;
justify-content: center;
background: rgba(0, 0, 0, 0.3);
border: none;
border-bottom: 1px solid var(--border-color, rgba(255,255,255,0.06));
cursor: pointer;
transition: background 0.15s ease;
padding: 0;
margin: 0;
}
.mtb-preview:hover {
background: rgba(0, 0, 0, 0.4);
}
.mtb-preview img {
width: 100%;
height: 100%;
max-height: 320px;
object-fit: contain;
}
.mtb-preview-empty {
display: flex;
flex-direction: column;
align-items: center;
gap: 8px;
padding: 40px;
}
.mtb-preview-icon {
font-size: 32px;
opacity: 0.3;
}
.mtb-preview-text {
font-size: 12px;
color: var(--descrip-text, rgba(255,255,255,0.3));
}
</style>
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<script lang="ts">
</script>
<h3>How to use this panel?</h3>
<p>
This panel was mainly developed to ease the authoring of workflows to use
externaly with the API
</p>
<style>
section {
width: 100%;
padding: 0.3em;
overflow: auto;
}
div {
padding: 0.2em;
margin: 0.15em 0;
}
</style>
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<script lang="ts">
import { dndzone } from 'svelte-dnd-action'
import InspectorItem from './InspectorItem.svelte'
import { flip } from 'svelte/animate'
import { notifyOrderChanged } from '../mtb_api/panel.svelte'
interface InputItem {
id: number
node_id?: number
original_name?: string
[key: string]: unknown
}
let { inputs = [] as InputItem[] } = $props()
const flipDurationMs = 100
let locked = $state(false)
function handleDndConsider(e: CustomEvent<{ items: InputItem[] }>) {
inputs = e.detail.items
}
function handleDndFinalize(e: CustomEvent<{ items: InputItem[] }>) {
inputs = e.detail.items
// Persist the new order back to the nodes
const orderedInputs = inputs.map((item, index) => ({
node_id: item.node_id as number,
original_name: item.original_name as string,
order: index,
}))
notifyOrderChanged(orderedInputs)
}
</script>
<div class="mtb-tab-ui">
<div class="mtb-tab-toolbar">
<button
class="mtb-toolbar-btn"
class:active={locked}
onclick={() => (locked = !locked)}
title={locked ? 'Unlock reordering' : 'Lock reordering'}
>
{#if locked}
<svg width="14" height="14" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2">
<rect x="3" y="11" width="18" height="11" rx="2" ry="2"></rect>
<path d="M7 11V7a5 5 0 0 1 10 0v4"></path>
</svg>
{:else}
<svg width="14" height="14" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2">
<rect x="3" y="11" width="18" height="11" rx="2" ry="2"></rect>
<path d="M7 11V7a5 5 0 0 1 9.9-1"></path>
</svg>
{/if}
</button>
<span class="mtb-toolbar-label">{inputs.length} input{inputs.length !== 1 ? 's' : ''}</span>
</div>
{#if inputs.length === 0}
<div class="mtb-empty-state">
<div class="mtb-empty-icon">⚡</div>
<p class="mtb-empty-text">No API inputs</p>
<p class="mtb-empty-hint">Right-click a node and select "Mark API" to expose its inputs</p>
</div>
{:else}
<div
class="mtb-inputs-list"
use:dndzone={{ items: inputs, flipDurationMs, dragDisabled: locked }}
onconsider={handleDndConsider}
onfinalize={handleDndFinalize}
>
{#each inputs as item (item.id)}
<div animate:flip={{ duration: flipDurationMs }}>
<InspectorItem {item} />
</div>
{/each}
</div>
{/if}
</div>
<style>
.mtb-tab-ui {
display: flex;
flex-direction: column;
height: 100%;
}
.mtb-tab-toolbar {
display: flex;
align-items: center;
gap: 8px;
padding: 8px 16px;
border-bottom: 1px solid var(--border-color, rgba(255,255,255,0.06));
}
.mtb-toolbar-btn {
display: inline-flex;
align-items: center;
justify-content: center;
width: 28px;
height: 28px;
padding: 0;
background: transparent;
border: 1px solid var(--border-color, rgba(255,255,255,0.1));
border-radius: 6px;
color: var(--descrip-text, rgba(255,255,255,0.5));
cursor: pointer;
transition: all 0.15s ease;
}
.mtb-toolbar-btn:hover {
background: rgba(255,255,255,0.05);
border-color: rgba(255,255,255,0.2);
}
.mtb-toolbar-btn.active {
background: var(--mtb-api-color, #2930b0);
border-color: var(--mtb-api-color, #2930b0);
color: white;
}
.mtb-toolbar-label {
font-size: 11px;
color: var(--descrip-text, rgba(255,255,255,0.4));
}
.mtb-inputs-list {
flex: 1;
overflow-y: auto;
}
/* Empty state */
.mtb-empty-state {
display: flex;
flex-direction: column;
align-items: center;
justify-content: center;
padding: 40px 20px;
text-align: center;
}
.mtb-empty-icon {
font-size: 32px;
margin-bottom: 12px;
opacity: 0.3;
}
.mtb-empty-text {
font-size: 14px;
font-weight: 500;
color: var(--fg-color, #fafafa);
margin: 0 0 8px;
}
.mtb-empty-hint {
font-size: 12px;
color: var(--descrip-text, rgba(255,255,255,0.4));
margin: 0;
max-width: 200px;
line-height: 1.5;
}
</style>
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<script lang="ts">
import type { Component as SvelteComponent } from 'svelte'
interface TabItem {
label: string
value: number
component: SvelteComponent<unknown>
props: Record<string, unknown>
}
let { items = [] as TabItem[] } = $props()
let activeTabValue = $state(items[0]?.value ?? 1)
function handleClick(value: number) {
return () => {
activeTabValue = value
}
}
</script>
<div class="mtb-tabs">
<nav class="mtb-tabs-nav" role="tablist">
{#each items as item}
<button
class="mtb-tab"
class:active={activeTabValue === item.value}
role="tab"
aria-selected={activeTabValue === item.value}
onclick={handleClick(item.value)}
>
{item.label}
</button>
{/each}
</nav>
<div class="mtb-tabs-content">
{#each items as item}
{#if activeTabValue === item.value}
<svelte:component this={item.component} {...item.props} />
{/if}
{/each}
</div>
</div>
<style>
.mtb-tabs {
display: flex;
flex-direction: column;
height: 100%;
}
.mtb-tabs-nav {
display: flex;
gap: 4px;
padding: 8px 16px;
border-bottom: 1px solid var(--border-color, rgba(255,255,255,0.06));
}
.mtb-tab {
padding: 6px 12px;
font-size: 12px;
font-weight: 500;
color: var(--descrip-text, rgba(255,255,255,0.5));
background: transparent;
border: none;
border-radius: 6px;
cursor: pointer;
transition: all 0.15s ease;
}
.mtb-tab:hover {
color: var(--fg-color, #fafafa);
background: rgba(255,255,255,0.05);
}
.mtb-tab.active {
color: var(--fg-color, #fafafa);
background: rgba(255,255,255,0.1);
}
.mtb-tabs-content {
flex: 1;
overflow: hidden;
display: flex;
flex-direction: column;
}
</style>
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<script lang="ts">
import { portal } from 'svelte-portal'
export let wrapper
export let isOpen
export let isPopup
/* svelte-ignore unused-export-let */
export let toRight
</script>
<div
use:portal={'#inside'}
class="wrapper"
bind:this={wrapper}
class:isOpen
class:isPopup
role={isPopup ? 'dialog' : undefined}
aria-label="color picker"
>
<slot />
</div>
<style>
div {
padding: 8px 5px 5px 8px;
margin: 0 10px 10px;
border: 1px solid black;
border-radius: 12px;
display: none;
width: max-content;
}
.isOpen {
display: block;
}
.isPopup {
position: absolute;
top: 30px;
z-index: var(--picker-z-index, 2);
}
</style>
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export function dragMe(node) {
let offsetX = 300
let offsetY = 200
let isDragging = false
node.style.left = `${300}px`
node.style.top = `${200}px`
node.style.position = 'absolute'
const dragPanel = (e) => {
if (!isDragging) return
const newX = e.clientX - offsetX
const newY = e.clientY - offsetY
node.style.left = `${newX}px`
node.style.top = `${newY}px`
}
const startDragging = (e: MouseEvent) => {
const target = e.target
const isBlankSpace = target === node
console.log({ target, node, isBlankSpace, contains: node.contains(target) })
if (isBlankSpace) {
isDragging = true
offsetX = e.clientX - node.offsetLeft
offsetY = e.clientY - node.offsetTop
node.style.cursor = 'grabbing'
document.addEventListener('mousemove', dragPanel)
document.addEventListener('mouseup', stopDragging)
}
}
const stopDragging = () => {
isDragging = false
node.style.cursor = 'grab'
document.removeEventListener('mousemove', dragPanel)
document.removeEventListener('mouseup', stopDragging)
}
// Prevent child elements from receiving mouse events during dragging
for (const el of node.querySelectorAll('input, button')) {
el.addEventListener('mousedown', (e) => e.stopPropagation())
}
node.addEventListener('mousedown', startDragging)
return {
destroy() {
stopDragging()
},
}
}
export function resizeHandle(node) {
let resizing = false
let initialWidth
let initialHeight
let initialX
let initialY
const handle = document.createElement('div')
Object.assign(handle.style, {
position: 'absolute',
width: '0',
height: '0',
bottom: '0',
right: '0',
cursor: 'nwse-resize',
borderTop: '10px solid transparent',
borderLeft: '10px solid transparent',
borderBottom: '10px solid var(--border-color)',
borderRight: '10px solid var(--border-color)',
pointerEvents: 'auto',
})
node.appendChild(handle)
const resizeHandler = (event) => {
resizing = true
initialWidth = node.offsetWidth
initialHeight = node.offsetHeight
initialX = event.clientX
initialY = event.clientY
const mouseMoveHandler = (event) => {
if (resizing) {
const deltaX = event.clientX - initialX
const deltaY = event.clientY - initialY
node.style.width = `${initialWidth + deltaX}px`
node.style.height = `${initialHeight + deltaY}px`
const rect = node.getBoundingClientRect()
const newLeft = rect.left - deltaX
const newTop = rect.top - deltaY
node.style.left = `${newLeft}px`
node.style.top = `${newTop}px`
}
}
const mouseUpHandler = () => {
resizing = false
window.removeEventListener('mousemove', mouseMoveHandler)
window.removeEventListener('mouseup', mouseUpHandler)
}
window.addEventListener('mousemove', mouseMoveHandler)
window.addEventListener('mouseup', mouseUpHandler)
}
handle.addEventListener('mousedown', resizeHandler)
return {
destroy() {
handle.removeEventListener('mousedown', resizeHandler)
handle.remove()
},
}
}
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/**
* Adds a named stylesheet to the document with an optional ability to replace an existing one.
*
* @param name - The unique name (ID) of the stylesheet.
* @param css - The CSS rules as a string.
* @param force - Whether to replace the existing stylesheet if it exists.
* @returns {void}
*/
export function addNamedStyleSheet(
name: string,
css: string,
force = false,
): void {
const existingStyleSheet = document.getElementById(name)
if (existingStyleSheet && !force) {
console.debug(
`Stylesheet with name "${name}" already exists. Skipping addition.`,
)
return
}
if (existingStyleSheet && force) {
console.debug(`Stylesheet with name "${name}" exists. Replacing...`)
existingStyleSheet.remove()
}
const styleElement = document.createElement('style')
styleElement.id = name
styleElement.type = 'text/css'
styleElement.appendChild(document.createTextNode(css))
document.head.appendChild(styleElement)
console.debug(`Stylesheet with name "${name}" added.`)
}
export const ensureMTBStyles = () => {
const S = {
fg: 'var(--fg-color)',
bgi: 'var(--comfy-input-bg)',
bgm: 'var(--comfy-menu-bg)',
border: 'var(--comfy-border)',
borderHover: 'var(--comfy-border-hover)',
box: 'var(--comfy-box)',
accent: 'var(--p-button-text-primary-color)',
}
const common = `
.mtb_sidebar {
display: flex;
flex-direction: column;
background: ${S.bgm};
}
.mtb_img_grid {
display: flex;
flex-wrap: wrap;
overflow: scroll;
gap: 1em;
align-items: center;
justify-content: center;
height: 100%;
width: 100%;
}
.mtb_tools {
display: flex;
flex-direction: row;
align-items: center;
justify-content: space-between;
width: 100%;
}
`
const inputs = `
/* SELECT */
.mtb_select {
appearance: none;
display: grid;
grid-template-areas: "select";
padding: 10px;
background-color: ${S.bgi};
border: none;
border-radius: 5px;
font-size: 14px;
color: ${S.fg};
cursor: pointer;
width: 100%;
}
@supports (-moz-appearance:none) {
.mtb_select{
grid-area: select;
background: ${S.bgi} url('data:image/gif;base64,R0lGODlhBgAGAKEDAFVVVX9/f9TU1CgmNyH5BAEKAAMALAAAAAAGAAYAAAIODA4hCDKWxlhNvmCnGwUAOw==') right center no-repeat !important;
background-position: calc(100% - 5px) center !important;
-moz-appearance:none !important;
}
/* styling the dropdown arrow for browsers that support it */
.mtb_select:after {
content: "";
width: 0.8em;
height: 0.5em;
background-color: ${S.fg};
clip-path: polygon(100% 0%, 0 0%, 50% 100%);
}
.mtb_select:focus {
outline: none;
border-color: #0056b3;
}
.mtb_select > option {
padding: 10px;
background-color: ${S.bgi};
border:none;
color: ${S.fg};
}
.mtb_select > option:hover {
background-color: red;
color: ${S.fg};
}
/* SLIDER */
.mtb_slider[type="range"] {
-webkit-appearance: none;
appearance: none;
width: 100%;
height: 10px;
background: ${S.bgm};
border-radius: 5px;
outline: none;
opacity: 0.7;
transition: opacity .2s;
padding: 1em;
}
/* slider track */
.mtb_slider[type="range"]::-webkit-slider-runnable-track,
.mtb_slider[type="range"]::-moz-range-track {
width: 100%;
height: 10px;
background: ${S.bgi};
border-radius: 5px;
}
/* progress */
.mtb_slider[type="range"]::-moz-range-progress {
background-color: ${S.accent};
height:10px;
border-radius: 5px;
}
/* slider thumb (the handle) */
.mtb_slider[type="range"]::-webkit-slider-thumb,
.mtb_slider[type="range"]::-moz-range-thumb
{
-webkit-appearance: none;
appearance: none;
width: 15px;
height: 15px;
border-radius: 50%;
background: ${S.fg};
border: none;
cursor: pointer;
filter: drop-shadow(1px 1px 4px black);
}
.mtb_slider[type="range"]:focus {
opacity: 1;
}
.mtb_slider[type=range]:-moz-focusring{
outline: 1px solid red;
outline-offset: -1px;
}
.mtb_slider[type="range"]:hover::-webkit-slider-thumb,
.mtb_slider[type="range"]:active::-webkit-slider-thumb {
background-color: ${S.accent};
}
`
addNamedStyleSheet(
'mtb_ui',
`
${common}
${inputs}
`,
)
}
/**
* Wrap an element with a div
*
* @param {Object} [style] - CSS styles to apply to the element.
* @returns {HTMLElement} - The created DOM element.
*/
export const wrapElement = (element, style = {}) => {
const container = makeElement('div', style)
container.appendChild(element)
return container
}
/**
* Creates a DOM element with optional styles, class, and id.
*
* @param kind - The tag name of the element. Supports class and id syntax (e.g. 'div.class#id').
* @param style - CSS styles to apply to the element.
* @param parent - A parent to append to
* @returns {HTMLElement} - The created DOM element.
*/
export const makeElement = (
kind: string,
style?: object,
parent?: HTMLElement,
): HTMLElement => {
let [real_kind, className] = kind.split('.')
let id: string | undefined
if (className?.includes('#')) {
;[className, id] = className.split('#')
}
const el = document.createElement(real_kind)
if (style) {
Object.assign(el.style, style)
}
if (className) {
el.classList.add(...className.split(' ')) // Support multiple classes
}
if (id) {
el.id = id
}
if (parent) {
parent.appendChild(el)
}
return el
}
/**
* Clears all child elements of the given parent element.
*
* @param el - The parent element whose children should be removed.
*/
export const clearElement = (el: HTMLElement) => {
while (el.firstChild) {
el.removeChild(el.firstChild)
}
}
/**
* Creates a labeled element (input, select, etc.).
*
* @param {HTMLElement} el - The element to label.
* @param {string} labelText - The label text.
* @returns {HTMLDivElement} - A div containing the label and the element.
*/
export const makeLabeledElement = (
el: HTMLElement,
labelText: string,
): HTMLDivElement => {
const wrapper = makeElement('div.mtb_labeled_element', {
marginBottom: '1em',
})
const label = makeElement('label', {
display: 'block',
marginBottom: '0.5em',
})
label.textContent = labelText
wrapper.appendChild(label)
wrapper.appendChild(el)
return wrapper as HTMLDivElement
}
/**
* Converts a camelCase CSS property to kebab-case.
*
* @param prop - The camelCase CSS property.
* @returns - The kebab-case CSS property.
*/
const camelToKebab = (prop: string): string =>
prop.replace(/[A-Z]/g, (match) => `-${match.toLowerCase()}`)
/**
* Parses the style string into an object of CSS property-value pairs.
*
* @param {string} styleString - The CSS rule text (e.g., "color: red; background-color: blue;").
* @returns {Object} - An object with camelCase CSS properties.
*/
const parseStyleString = (styleString: string): object => {
const styleObj: Record<string, unknown> = {}
for (const rule of styleString.split(';')) {
const [property, value] = rule.split(':').map((item) => item.trim())
if (property && value) {
const camelProp = property.replace(/-([a-z])/g, (g) => g[1].toUpperCase())
styleObj[camelProp] = value
}
}
return styleObj
}
/**
* Defines a new CSS class with the provided styles, or skips if the class already exists.
*
* @param {string} className - The name of the CSS class to define.
* @param {Object} classStyles - An object containing camelCase CSS property-value pairs.
*/
export function defineCSSClass(className: string, classStyles: object) {
const styleSheets = document.styleSheets
let classExists = false
let existingStyleString = ''
const classExistsInStyleSheet = (styleSheet: CSSStyleSheet) => {
const rules = styleSheet.cssRules
for (const rule of rules) {
if (rule.selectorText === `.${className}`) {
classExists = true
existingStyleString = rule.style.cssText // Capture existing styles
return true
}
}
return false
}
for (const styleSheet of styleSheets) {
if (classExistsInStyleSheet(styleSheet)) {
console.debug(`Class ${className} already exists, merging styles...`)
break
}
}
const existingStyles = classExists
? parseStyleString(existingStyleString)
: {}
const mergedStyles = { ...existingStyles, ...classStyles }
const stylesString = Object.entries(mergedStyles)
.map(([key, value]) => `${camelToKebab(key)}: ${value};`)
.join(' ')
if (!classExists) {
console.debug(`Defining new class ${className}...`)
styleSheets[0].insertRule(`.${className} { ${stylesString} }`, 0)
} else {
console.debug(`Updating existing class ${className} with merged styles...`)
for (const styleSheet of styleSheets) {
const rules = styleSheet.cssRules
for (const rule of rules) {
if (rule.selectorText === `.${className}`) {
rule.style.cssText = stylesString // Update the existing rule
}
}
}
}
console.debug(
`Class ${className} has been defined/updated with styles:`,
mergedStyles,
)
}
/**
* Renders a sidebar and ensures it resizes correctly when the window is resized.
*
* @param el - The element where the sidebar is rendered.
* @param cont - The content container of the sidebar.
* @param elems - Array of elements to append to the sidebar.
* @returns - A handle with a method to unregister the resize event.
*/
export const renderSidebar = (
el: HTMLElement,
cont: HTMLElement,
elems: HTMLElement[],
) => {
el.appendChild(cont)
if (!el.parentNode) {
return
}
if (!('style' in el.parentNode) && !('offsetHeight' in el.parentNode)) {
return
}
el.parentNode.style.overflowY = 'clip'
cont.style.height = `${el.parentNode.offsetHeight}px`
const resizeHandler = () => {
cont.style.height = `${el.parentNode.offsetHeight}px`
}
window.addEventListener('resize', resizeHandler)
for (const elem of elems) {
cont.appendChild(elem)
}
return {
unregister: () => {
window.removeEventListener('resize', resizeHandler)
},
}
}
/**
* Creates a <select> dropdown with given options.
*
* @param {string[]} options - The options for the select element.
* @param {string} [current] - The currently selected option (optional).
* @returns {HTMLSelectElement} - The created <select> element.
*/
export const makeSelect = (
options: string[],
current?: string,
): HTMLSelectElement => {
const selector = makeElement('select.mtb_select', {
width: 'auto',
margin: '1em',
}) as HTMLSelectElement
for (const option of options) {
const opt = makeElement('option') as HTMLOptionElement
opt.value = option
opt.innerHTML = option
selector.appendChild(opt)
}
if (current !== undefined) {
if (options.includes(current)) {
selector.value = current
} else {
console.error(
`You tried to select an option that doesn't exist (${current}). Options: ${options}`,
)
}
}
return selector
}
/**
* Creates an <input type="range"> slider element with given parameters.
*
* @param {number} min - Minimum value of the slider.
* @param {number} max - Maximum value of the slider.
* @param {number} [value] - Initial value of the slider.
* @param {number} [step] - Step value for the slider.
* @returns {HTMLInputElement} - The created slider element.
*/
export const makeSlider = (
min: number,
max: number,
value?: number,
step?: number,
): HTMLInputElement => {
const slider = makeElement('input.mtb_slider', {
width: '100%',
}) as HTMLInputElement
slider.type = 'range'
slider.min = (min || 0).toString()
slider.max = (max || 100).toString()
slider.value = (value || slider.min).toString()
slider.step = (step || 1).toString()
return slider
}
/**
* Creates a button element.
*
* @param {string} label - The label for the button.
* @param {Object} [style] - Optional styles to apply to the button.
* @param {Function} [onClick] - Optional click handler.
* @returns {HTMLButtonElement} - The created button element.
*/
export const makeButton = (
label: string,
style: object = {},
onClick?: (e: MouseEvent) => void,
): HTMLButtonElement => {
const button = makeElement('button.mtb_button', style) as HTMLButtonElement
button.textContent = label
if (onClick) {
button.addEventListener('click', onClick)
}
return button
}
/**
* Creates a resizable splitter between two elements.
*
* @param {HTMLElement} el1 - The first element.
* @param {HTMLElement} el2 - The second element.
* @param {'vertical' | 'horizontal'} direction - Splitter direction (vertical or horizontal).
* @param {'absolute' | 'normal'} mode - Splitter mode: 'absolute' for free resizing, 'normal' for layout-based resizing.
* @returns {HTMLDivElement} - The container with resizable splitter.
*/
export const makeSplitter = (
el1: HTMLElement,
el2: HTMLElement,
direction: 'vertical' | 'horizontal' = 'vertical',
mode: 'absolute' | 'normal' = 'normal',
): HTMLDivElement => {
const container = makeElement('div.mtb_splitter_container', {
display: mode === 'absolute' ? 'block' : 'flex',
flexDirection: direction === 'vertical' ? 'row' : 'column',
position: mode === 'absolute' ? 'relative' : 'static',
height: '100%',
width: '100%',
}) as HTMLDivElement
const handle = makeElement('div.mtb_splitter_handle', {
backgroundColor: '#ccc',
cursor: direction === 'vertical' ? 'col-resize' : 'row-resize',
width: direction === 'vertical' ? '5px' : '100%',
height: direction === 'horizontal' ? '5px' : '100%',
})
let isResizing = false
handle.addEventListener('mousedown', () => {
isResizing = true
})
window.addEventListener('mouseup', () => {
isResizing = false
})
window.addEventListener('mousemove', (e) => {
if (!isResizing) return
if (direction === 'vertical') {
const newWidth = e.clientX - container.offsetLeft
el1.style.width = `${newWidth}px`
el2.style.width = `${container.offsetWidth - newWidth}px`
} else {
const newHeight = e.clientY - container.offsetTop
el1.style.height = `${newHeight}px`
el2.style.height = `${container.offsetHeight - newHeight}px`
}
})
container.appendChild(el1)
container.appendChild(handle)
container.appendChild(el2)
return container
}
-3
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@@ -1,3 +0,0 @@
export const inComfy = () => {
return window !== undefined && window.app !== undefined
}
-9
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@@ -1,9 +0,0 @@
// import './app.css'
import App from './App.svelte'
const app = new App({
// target: document.getElementById('app'),
target: document.querySelector('body'),
})
export default app
-20
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@@ -1,20 +0,0 @@
// src/mocks/api.ts
export const api = {
addEventListener: (event: string, callback: (e: CustomEvent) => void) => {
console.log(`Mock api.addEventListener: ${event}`)
},
removeEventListener: (event: string, callback: (e: CustomEvent) => void) => {
console.log(`Mock api.removeEventListener: ${event}`)
},
getItems: async (type: string) => {
console.log(`Mock api.getItems: ${type}`)
return { Running: [], Pending: [] }
},
deleteItem: async (type: string, id: string) => {
console.log(`Mock api.deleteItem: ${type} ${id}`)
},
clearItems: async (type: string) => {
console.log(`Mock api.clearItems: ${type}`)
},
}
-31
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@@ -1,31 +0,0 @@
// src/mocks/app.ts
import type { ComfyApp } from '@comfyorg/comfyui-frontend-types'
export const app: ComfyApp = {
canvas: document.createElement('canvas'),
graph: {
// Mock graph methods if you use them
add: (node: any) => console.log('Mock graph.add', node),
// ...
} as any, // Cast to any if you don't want to fully mock LGraph
ui: {
// Mock UI methods
dialog: {
show: (content: any) => console.log('Mock dialog.show', content),
// ...
},
// ...
} as any, // Cast to any if you don't want to fully mock UI
// Mock common methods
onReady: async () => {
console.log('Mock app.onReady called')
// Simulate a delay if your code expects async behavior
await new Promise((resolve) => setTimeout(resolve, 100))
},
registerCustomNodeMapping: (mapping: any) =>
console.log('Mock registerCustomNodeMapping', mapping),
// Add any other properties/methods your code directly accesses
// that would cause errors if undefined.
// You can use `jest.fn()` or similar if you're using a testing framework.
}
-58
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@@ -1,58 +0,0 @@
// src/mocks/comfy_shared.ts
// Mock for comfy_shared.js utilities
export function deepMerge(target: object, ...sources: object[]): object {
for (const source of sources) {
for (const key in source) {
if (Object.prototype.hasOwnProperty.call(source, key)) {
const sourceValue = (source as Record<string, unknown>)[key]
const targetValue = (target as Record<string, unknown>)[key]
if (
sourceValue &&
typeof sourceValue === 'object' &&
!Array.isArray(sourceValue)
) {
;(target as Record<string, unknown>)[key] = deepMerge(
(targetValue as object) || {},
sourceValue as object,
)
} else {
;(target as Record<string, unknown>)[key] = sourceValue
}
}
}
}
return target
}
export function addMenuHandler(
nodeType: unknown,
callback: (...args: unknown[]) => void,
): void {
console.log('Mock addMenuHandler called')
}
export function extendPrototype(
prototype: object,
methodName: string,
callback: (...args: unknown[]) => void,
): void {
console.log(`Mock extendPrototype: ${methodName}`)
}
export function getNodes(includeAll = false): unknown[] {
console.log('Mock getNodes called')
return []
}
export function infoLogger(...args: unknown[]): void {
console.log('[MTB Info]', ...args)
}
export function warnLogger(...args: unknown[]): void {
console.warn('[MTB Warn]', ...args)
}
export function errorLogger(...args: unknown[]): void {
console.error('[MTB Error]', ...args)
}
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@@ -1,50 +0,0 @@
// src/mocks/ui.ts
type ElementOptions = {
textContent?: string
onclick?: () => void
type?: string
[key: string]: unknown
}
/**
* Mock implementation of ComfyUI's $el helper
*/
export function $el(
tag: string,
opts?: ElementOptions | HTMLElement[],
children?: HTMLElement[],
): HTMLElement {
const parts = tag.split('.')
const tagName = parts[0] || 'div'
const className = parts.slice(1).join(' ')
const element = document.createElement(tagName)
if (className) {
element.className = className
}
if (Array.isArray(opts)) {
// opts is children
opts.forEach((child) => element.appendChild(child))
} else if (opts) {
// opts is options
Object.entries(opts).forEach(([key, value]) => {
if (key === 'textContent') {
element.textContent = value as string
} else if (key === 'onclick') {
element.onclick = value as () => void
} else if (key.startsWith('on')) {
element.addEventListener(key.slice(2).toLowerCase(), value as EventListener)
} else {
element.setAttribute(key, String(value))
}
})
}
if (children) {
children.forEach((child) => element.appendChild(child))
}
return element
}
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@@ -1,275 +0,0 @@
/* MTB API Authoring Layer - On-Node Widget Styles */
:root {
--mtb-api-color: #4f6ef7;
--mtb-api-output-color: #f7b84f;
--mtb-api-radius: 8px;
}
/* ============================================
API Settings Widget Container (on nodes)
============================================ */
.mtb_api_settings {
font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', sans-serif;
font-size: 12px;
background: linear-gradient(
135deg,
rgba(79, 110, 247, 0.15) 0%,
rgba(79, 110, 247, 0.05) 100%
);
border: 1px solid rgba(79, 110, 247, 0.3);
border-radius: var(--mtb-api-radius);
padding: 8px;
margin: 4px 0;
pointer-events: none;
}
.mtb_api_output {
background: transparent;
height: 0;
padding: 0;
margin: 0;
border: none;
}
/* ============================================
Input Section (per widget)
============================================ */
.mtb_api_section {
display: flex;
flex-direction: column;
gap: 6px;
padding: 8px;
margin-bottom: 6px;
background: rgba(0, 0, 0, 0.2);
border-radius: 6px;
border: 1px solid rgba(255, 255, 255, 0.05);
}
.mtb_api_section:last-child {
margin-bottom: 0;
}
/* Checkbox + Title Row */
.mtb_api_checkbox_label {
display: flex;
align-items: center;
gap: 8px;
padding: 4px 0;
cursor: pointer;
pointer-events: auto;
}
.mtb_api_checkbox_label input[type="checkbox"] {
width: 14px;
height: 14px;
accent-color: var(--mtb-api-color);
cursor: pointer;
pointer-events: auto;
}
.mtb_api_title {
font-size: 11px;
font-weight: 600;
color: #fff;
text-transform: uppercase;
letter-spacing: 0.03em;
}
/* Content Container (name/type fields) */
.mtb_api_section > div:not(.mtb_api_checkbox_label) {
display: grid;
grid-template-columns: auto 1fr;
gap: 6px 8px;
align-items: center;
}
/* Labels */
.mtb_api_section label {
font-size: 10px;
color: rgba(255, 255, 255, 0.6);
text-transform: uppercase;
letter-spacing: 0.05em;
pointer-events: auto;
}
/* Input Fields */
.mtb_api_section input[type="text"],
.mtb_api_section select {
height: 26px;
padding: 0 8px;
font-size: 11px;
font-family: inherit;
color: #fff;
background: rgba(0, 0, 0, 0.3);
border: 1px solid rgba(255, 255, 255, 0.1);
border-radius: 4px;
outline: none;
pointer-events: auto;
transition: border-color 0.15s, box-shadow 0.15s;
}
.mtb_api_section input[type="text"]:focus,
.mtb_api_section select:focus {
border-color: var(--mtb-api-color);
box-shadow: 0 0 0 2px rgba(79, 110, 247, 0.2);
}
.mtb_api_section select {
cursor: pointer;
appearance: none;
background-image: url("data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' width='10' height='10' viewBox='0 0 24 24' fill='none' stroke='%23888' stroke-width='2'%3E%3Cpolyline points='6 9 12 15 18 9'%3E%3C/polyline%3E%3C/svg%3E");
background-repeat: no-repeat;
background-position: right 8px center;
padding-right: 24px;
}
/* Divider */
.mtb_api_section hr {
border: none;
border-top: 1px solid rgba(255, 255, 255, 0.08);
margin: 8px 0 0;
}
/* Disabled State */
.mtb_api_disabled {
opacity: 0.4;
pointer-events: none;
}
/* ============================================
Node Settings Section
============================================ */
.mtb_api_node_settings {
display: flex;
align-items: center;
justify-content: space-between;
gap: 8px;
padding: 8px;
margin-top: 4px;
background: rgba(0, 0, 0, 0.25);
border-radius: 6px;
border: 1px solid rgba(255, 255, 255, 0.05);
}
.mtb_api_node_settings_label {
font-size: 10px;
font-weight: 500;
color: rgba(255, 255, 255, 0.5);
text-transform: uppercase;
letter-spacing: 0.05em;
}
/* Toggle Switch */
.mtb_api_toggle {
position: relative;
display: inline-flex;
align-items: center;
gap: 8px;
cursor: pointer;
pointer-events: auto;
}
.mtb_api_toggle input {
position: absolute;
opacity: 0;
width: 0;
height: 0;
}
.mtb_api_toggle_track {
width: 32px;
height: 18px;
background: rgba(255, 255, 255, 0.15);
border-radius: 9px;
transition: background 0.2s;
}
.mtb_api_toggle_track::after {
content: '';
position: absolute;
top: 2px;
left: 2px;
width: 14px;
height: 14px;
background: #fff;
border-radius: 50%;
transition: transform 0.2s;
}
.mtb_api_toggle input:checked + .mtb_api_toggle_track {
background: var(--mtb-api-color);
}
.mtb_api_toggle input:checked + .mtb_api_toggle_track::after {
transform: translateX(14px);
}
.mtb_api_toggle_label {
font-size: 11px;
color: rgba(255, 255, 255, 0.7);
}
/* ============================================
Type-Specific Config Section
============================================ */
.mtb_api_type_config {
margin-top: 8px;
padding-top: 8px;
border-top: 1px dashed rgba(255, 255, 255, 0.1);
}
.mtb_api_config_row {
display: flex;
flex-wrap: wrap;
align-items: center;
gap: 6px;
margin-bottom: 6px;
pointer-events: auto;
}
.mtb_api_config_row:last-child {
margin-bottom: 0;
}
.mtb_api_config_row label {
font-size: 10px;
color: rgba(255, 255, 255, 0.5);
text-transform: uppercase;
}
.mtb_api_config_row input[type="number"],
.mtb_api_config_row input[type="text"] {
width: 60px;
height: 24px;
padding: 0 6px;
font-size: 11px;
font-family: inherit;
background: rgba(0, 0, 0, 0.3);
border: 1px solid rgba(255, 255, 255, 0.1);
border-radius: 4px;
color: #fff;
outline: none;
pointer-events: auto;
transition: border-color 0.15s, box-shadow 0.15s;
}
.mtb_api_config_row input[type="text"] {
flex: 1;
min-width: 100px;
}
.mtb_api_config_row input[type="number"]:focus,
.mtb_api_config_row input[type="text"]:focus {
border-color: var(--mtb-api-color);
box-shadow: 0 0 0 2px rgba(79, 110, 247, 0.2);
}
.mtb_api_config_row input::placeholder {
color: rgba(255, 255, 255, 0.3);
font-style: italic;
}
.mtb_api_config_row span {
font-size: 10px;
color: rgba(255, 255, 255, 0.5);
}
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/** Color for API-marked nodes (refined blue) */
export const API_COLOR = '#4f6ef7'
/** Color for API output nodes (warm gold) */
export const OUTPUT_COLOR = '#f7b84f'
/** CSS custom properties for API styling */
export const API_CSS_VARS = `
:root {
--mtb-api-color: ${API_COLOR};
--mtb-api-output-color: ${OUTPUT_COLOR};
--mtb-api-radius: 8px;
}
`
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/**
* MTB API Extension Registration
* Registers the API authoring layer with ComfyUI
*/
import { app } from '@/scripts/app'
import * as shared from '@mtb/shared'
import { apiSettingsWidgetManager } from './widget-manager'
import { getAPIPanel, notifyAPIChanged } from './panel.svelte'
import type { MTBNode } from './types'
interface ContextMenuItem {
content: string
callback: (...args: unknown[]) => void
}
interface NodeType {
prototype: {
onDrawForeground?: (...args: unknown[]) => void
}
}
/**
* Registers the MTB API extension with ComfyUI
*/
export function registerMtbApiExtension(): void {
app.registerExtension({
name: 'mtb.api',
setup() {
// Keyboard shortcut: Ctrl+Shift+A
const panel = getAPIPanel()
document.addEventListener('keydown', (e) => {
if (e.ctrlKey && e.shiftKey && e.key === 'A') {
e.preventDefault()
panel.toggle()
}
})
},
init() {
// Register sidebar tab
// @ts-expect-error - extensionManager is ComfyUI API
app.extensionManager.registerSidebarTab({
id: 'mtb-api-panel',
icon: 'pi pi-bolt',
title: 'API Authoring',
tooltip: 'MTB: Configure API inputs and outputs',
type: 'custom',
render: (el: HTMLElement) => {
const panel = getAPIPanel()
panel.renderInto(el)
},
destroy: () => {
// Cleanup if needed
},
})
},
async beforeRegisterNodeDef(
nodeType: NodeType,
_nodeData: unknown,
_app: unknown,
) {
// Add API menu to all nodes
shared.addMenuHandler(nodeType, function (
this: MTBNode,
_app: unknown,
options: ContextMenuItem[],
) {
// Mark/Unmark as API input
const markApiItem: ContextMenuItem = {
content: this.properties.useAPI ? 'Unmark API ⚡' : 'Mark API ⚡',
callback: (...args: unknown[]) => {
const node = args[4] as MTBNode
if (node.properties.useAPI) {
node.setProperty('useAPI', false)
apiSettingsWidgetManager.ensureWidgets(node)
} else {
node.setProperty('useAPI', true)
}
notifyAPIChanged()
},
}
options.push(markApiItem)
// Mark/Remove as API output
const markOutputItem: ContextMenuItem = {
content: this.properties.mtb_api?.isAPIOutput
? 'Remove Output (API) ⚡'
: 'Mark Output (API) ⚡',
callback: (...args: unknown[]) => {
const node = args[4] as MTBNode
if (node.properties.mtb_api?.isAPIOutput) {
apiSettingsWidgetManager.applySettings(node, { isAPIOutput: false })
apiSettingsWidgetManager.ensureWidgets(node)
} else {
apiSettingsWidgetManager.applySettings(node, { isAPIOutput: true })
node.setProperty('useAPI', true)
}
notifyAPIChanged()
},
}
options.push(markOutputItem)
// Show/Hide disabled inputs
const currentShow =
this.properties.mtb_api?.showDisabled === undefined
? true
: this.properties.mtb_api?.showDisabled
const hideDisabledItem: ContextMenuItem = {
content: currentShow
? 'Hide Disabled (API) ⚡'
: 'Show Disabled (API) ⚡',
callback: (...args: unknown[]) => {
const node = args[4] as MTBNode
const oldApi = node.properties.mtb_api || {}
if (oldApi?.showDisabled !== undefined) {
node.setProperty('mtb_api', {
...oldApi,
showDisabled: !oldApi.showDisabled,
})
} else {
node.setProperty('mtb_api', {
...oldApi,
showDisabled: false,
})
}
apiSettingsWidgetManager.ensureWidgets(node, true)
},
}
options.push(hideDisabledItem)
return [markApiItem, hideDisabledItem]
})
// Extend onDrawForeground to draw API indicators
const origDrawForeground = nodeType.prototype.onDrawForeground
nodeType.prototype.onDrawForeground = function (
this: MTBNode,
ctx: CanvasRenderingContext2D,
canvas: unknown,
) {
origDrawForeground?.apply(this, [ctx, canvas])
apiSettingsWidgetManager.drawForeground(this, ctx, canvas)
}
},
})
}
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/**
* Graph to Prompt conversion for MTB API
* Uses ComfyUI's graphToPrompt and post-processes to add MTB API metadata
*/
import type { ComfyApp } from '@comfyorg/comfyui-frontend-types'
import type { GraphPromptResult, APINodeSettings, MTBNode } from './types'
/**
* Converts the current graph workflow for sending to the API
* Includes MTB API metadata for SDK consumers
*/
export async function graphToPrompt(app: ComfyApp): Promise<GraphPromptResult> {
// Use ComfyUI's built-in graphToPrompt which handles all complexity
// (subgraphs, DTOs, virtual nodes, etc.)
const result = await app.graphToPrompt()
// Post-process to add MTB API metadata to nodes that have it
for (const nodeId of Object.keys(result.output)) {
const nodeData = result.output[nodeId]
// Find the original node in the graph to get MTB API settings
const node = app.graph.getNodeById(Number(nodeId)) as MTBNode | null
if (node?.properties?.mtb_api) {
const apiSettings = { ...node.properties.mtb_api }
const enabledInputs: Record<string, Partial<APINodeSettings['inputs']>[string]> = {}
// Clean up internal-only settings
delete apiSettings.showDisabled
// Filter to only enabled inputs
if (apiSettings.inputs) {
for (const k of Object.keys(apiSettings.inputs)) {
const current = apiSettings.inputs[k]
if (current.enabled) {
enabledInputs[k] = { ...current }
delete (enabledInputs[k] as { enabled?: boolean }).enabled
}
}
apiSettings.inputs = enabledInputs as typeof apiSettings.inputs
}
// Add MTB API metadata
nodeData._meta = {
...nodeData._meta,
apiSettings,
}
}
}
return result as GraphPromptResult
}
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/**
* MTB API Authoring Layer
* Main entry point for the API extension
*
* NOTE: This bundle does NOT auto-register to avoid side-effects.
* ComfyUI loads all .js files in web/, so dist/ files must be side-effect free.
* Call registerMtbApiExtension() explicitly from the main entry point.
*/
// Import CSS for injection (this is bundled, not a side-effect at runtime)
import './api_nodes.css'
// Re-export types
export * from './types'
// Re-export constants
export { API_COLOR, OUTPUT_COLOR } from './constants'
// Re-export core modules
export { graphToPrompt } from './graph-to-prompt'
export { APISettingsWidgetManager, apiSettingsWidgetManager } from './widget-manager'
export { APIPanel, getAPIPanel, notifyAPIChanged, MTB_API_CHANGED_EVENT } from './panel.svelte'
export { registerMtbApiExtension } from './extension'
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/**
* API Panel Controller
* Manages the Svelte-based API panel for controlling exposed inputs
*
* NOTE: This file uses .svelte.ts extension to enable Svelte 5 runes ($state)
*/
import { mount, unmount } from 'svelte'
import * as shared from '@mtb/shared'
import Inspector from '../lib/Inspector.svelte'
import type { APIInput, MTBNode } from './types'
interface InputItem {
id: number
name: string
type: string
options?: string[]
[key: string]: unknown
}
/**
* Reactive props state for the Inspector component
* Using $state makes this reactive - changes auto-update the component
*/
function createPanelProps() {
let props = $state({
visible: true,
inputs: {} as Record<string, InputItem>,
})
return props
}
/** Custom event for API changes */
export const MTB_API_CHANGED_EVENT = 'mtb:api:changed'
/** Custom event for order changes from drag-drop */
export const MTB_API_ORDER_CHANGED_EVENT = 'mtb:api:order-changed'
/** Dispatch event to notify panel of changes */
export function notifyAPIChanged(): void {
window.dispatchEvent(new CustomEvent(MTB_API_CHANGED_EVENT))
}
/** Dispatch event with new order after drag-drop */
export function notifyOrderChanged(orderedInputs: { node_id: number; original_name: string; order: number }[]): void {
window.dispatchEvent(new CustomEvent(MTB_API_ORDER_CHANGED_EVENT, { detail: orderedInputs }))
}
/**
* Controls the API panel UI for managing exposed workflow inputs
*/
export class APIPanel {
private component: ReturnType<typeof mount> | null = null
private props = createPanelProps()
private sidebarMode = false
private listening = false
constructor() {
// Don't mount automatically - wait for renderInto or show
this.setupChangeListener()
}
/**
* Listen for API changes and update panel reactively
*/
private setupChangeListener(): void {
if (this.listening) return
this.listening = true
window.addEventListener(MTB_API_CHANGED_EVENT, () => {
// Debounce updates slightly
requestAnimationFrame(() => {
this.updateContent()
})
})
// Listen for order changes from drag-drop
window.addEventListener(MTB_API_ORDER_CHANGED_EVENT, ((e: CustomEvent<{ node_id: number; original_name: string; order: number }[]>) => {
this.applyInputOrder(e.detail)
}) as EventListener)
}
/**
* Applies new order to node properties after drag-drop reorder
*/
private applyInputOrder(orderedInputs: { node_id: number; original_name: string; order: number }[]): void {
for (const node of shared.getNodes(true) as MTBNode[]) {
const nodeInputs = orderedInputs.filter(i => i.node_id === node.id)
if (nodeInputs.length === 0) continue
for (const input of nodeInputs) {
if (node.properties.mtb_api?.inputs?.[input.original_name]) {
node.properties.mtb_api.inputs[input.original_name].order = input.order
}
}
// Trigger property update
node.setProperty('mtb_api', node.properties.mtb_api)
}
}
/**
* Creates and mounts the Inspector Svelte component
*/
private createPanel(target: HTMLElement = document.body) {
return mount(Inspector, {
target,
props: this.props,
})
}
/**
* Renders the panel into a sidebar element
*/
renderInto(el: HTMLElement): void {
this.sidebarMode = true
this.props.visible = true
// Destroy existing component if any
if (this.component) {
unmount(this.component)
}
this.component = this.createPanel(el)
this.updateContent()
}
/**
* Shows the panel and updates its content
*/
show(): void {
if (!this.component) {
this.component = this.createPanel()
}
this.updateContent()
this.props.visible = true
}
/**
* Hides the panel
*/
hide(): void {
this.props.visible = false
}
/**
* Returns whether the panel is currently visible
*/
isVisible(): boolean {
return this.props.visible
}
/**
* Toggles panel visibility
*/
toggle(): void {
if (this.isVisible()) {
this.hide()
} else {
this.show()
}
}
/**
* Collects all API inputs from marked nodes in the graph
*/
getAPIInputs(): Record<string, APIInput> {
const inputsList: (APIInput & { original_name: string })[] = []
for (const node of shared.getNodes(true) as MTBNode[]) {
const widgets = node.widgets
if (node.properties.mtb_api && node.properties.useAPI) {
if (node.properties.mtb_api.inputs) {
for (const currentName in node.properties.mtb_api.inputs) {
const current = node.properties.mtb_api.inputs[currentName]
if (current.enabled) {
const inputName = current.name || currentName
const widget = widgets?.find((w) => w.name === currentName)
if (!widget) continue
inputsList.push({
...current,
id: 0, // Will be assigned after sorting
name: inputName,
original_name: currentName,
type: current.type,
node_id: node.id,
widgets: [widget],
// Extract current value from widget
value: widget.value,
// For COMBO types, extract options
options: (widget.options as { values?: string[] })?.values,
})
}
}
}
}
}
// Sort by order (undefined order goes to end)
inputsList.sort((a, b) => {
const orderA = a.order ?? Number.MAX_SAFE_INTEGER
const orderB = b.order ?? Number.MAX_SAFE_INTEGER
return orderA - orderB
})
// Convert to Record and assign sequential IDs
const inputs: Record<string, APIInput> = {}
inputsList.forEach((input, index) => {
input.id = index + 1
inputs[input.name] = input
})
return inputs
}
/**
* Updates the panel content with current API inputs
*/
updateContent(): void {
const newInputs = this.getAPIInputs()
// Update the reactive props - this auto-updates the component
this.props.inputs = newInputs
console.log('Found API inputs:', newInputs)
}
}
/** Singleton panel instance */
let panelInstance: APIPanel | null = null
/**
* Gets or creates the singleton panel instance
*/
export function getAPIPanel(): APIPanel {
if (!panelInstance) {
panelInstance = new APIPanel()
}
return panelInstance
}
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import type { LGraphNode, IWidget, LGraphCanvas } from '@comfyorg/litegraph'
/** Supported API input types */
export const API_INPUT_TYPES = [
'STRING',
'IMAGE',
'AUDIO',
'VIDEO',
'COMBO',
'MODEL',
'NUMBER',
'FLOATS',
'BOOLEAN',
] as const
export type APIInputType = (typeof API_INPUT_TYPES)[number]
/** Settings for a single API input on a node */
export interface APIInputSettings {
enabled: boolean
type: APIInputType
name: string
/** Display order (lower = first) */
order?: number
// NUMBER config
min?: number
max?: number
step?: number
// STRING config
multiline?: boolean
// AUDIO/VIDEO config
accept?: string // e.g., ".mp3,.wav" or ".mp4,.webm"
maxDuration?: number // seconds
trimEnabled?: boolean
}
/** API configuration stored in node.properties.mtb_api */
export interface APINodeSettings {
isAPIOutput?: boolean
showDisabled?: boolean
includeInExport?: boolean
inputs?: Record<string, APIInputSettings>
}
/** Extended node properties with MTB API fields */
export interface MTBNodeProperties {
useAPI?: boolean
mtb_api?: APINodeSettings
[key: string]: unknown
}
/** LGraphNode with MTB API properties */
export interface MTBNode extends LGraphNode {
properties: MTBNodeProperties
}
/** Collected API input with widget references */
export interface APIInput {
id: number
name: string
original_name?: string
type: APIInputType
node_id: number
widgets: IWidget[]
options?: string[]
widget?: IWidget
enabled?: boolean
}
/** Result of graphToPrompt conversion */
export interface GraphPromptResult {
workflow: object
output: Record<
string,
{
inputs: Record<string, unknown>
class_type: string
_meta?: {
title: string
apiSettings?: Partial<APINodeSettings>
}
}
>
}
/** Props for the API Panel component */
export interface APIPanelProps {
visible?: boolean
inputs?: Record<string, APIInput>
}
/** Interface for the API Settings Widget Manager */
export interface IAPISettingsWidgetManager {
createAPISettingsWidget(node: MTBNode, force?: boolean): void
removeAPISettingsWidget(node: MTBNode, widget?: IWidget): void
applySettings(
node: MTBNode,
settings: Partial<APINodeSettings>,
): APINodeSettings
ensureWidgets(node: MTBNode, force?: boolean): void
drawForeground(
node: MTBNode,
ctx: CanvasRenderingContext2D,
canvas: LGraphCanvas,
): void
}
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/**
* API Settings Widget Manager
* Manages DOM widgets for configuring API inputs on nodes
*/
import type { IWidget, LGraphCanvas } from '@comfyorg/litegraph'
import { $el } from '@/scripts/ui'
import * as shared from '@mtb/shared'
import { API_COLOR, OUTPUT_COLOR } from './constants'
import { API_INPUT_TYPES, type APIInputType, type APIInputSettings, type APINodeSettings, type MTBNode } from './types'
import { notifyAPIChanged } from './panel.svelte'
import CSS from './api_nodes.css?inline'
/** Symbol to store original callbacks on widgets */
const ORIGINAL_CALLBACK = Symbol('mtb_original_callback')
declare const LiteGraph: {
NODE_TITLE_HEIGHT: number
NODE_COLLAPSED_RADIUS: number
}
/**
* Manages the creation and lifecycle of API settings widgets on nodes
*/
export class APISettingsWidgetManager {
/**
* Wraps widget callbacks to notify panel of value changes
*/
private wrapWidgetCallbacks(node: MTBNode): void {
if (!node.widgets) return
for (const widget of node.widgets) {
if (widget.name === 'apiSettings') continue
const w = widget as IWidget & {
callback?: (...args: unknown[]) => void
[ORIGINAL_CALLBACK]?: (...args: unknown[]) => void
}
// Skip if already wrapped
if (w[ORIGINAL_CALLBACK]) continue
// Store original and wrap
w[ORIGINAL_CALLBACK] = w.callback
w.callback = (...args: unknown[]) => {
w[ORIGINAL_CALLBACK]?.(...args)
notifyAPIChanged()
}
}
}
/**
* Restores original widget callbacks
*/
private unwrapWidgetCallbacks(node: MTBNode): void {
if (!node.widgets) return
for (const widget of node.widgets) {
const w = widget as IWidget & {
callback?: (...args: unknown[]) => void
[ORIGINAL_CALLBACK]?: (...args: unknown[]) => void
}
if (w[ORIGINAL_CALLBACK]) {
w.callback = w[ORIGINAL_CALLBACK]
delete w[ORIGINAL_CALLBACK]
}
}
}
/**
* Creates the API settings DOM widget for a node
*/
createAPISettingsWidget(node: MTBNode, force?: boolean): void {
const existingWidget = node.widgets?.find((w) => w.name === 'apiSettings')
if (!existingWidget || force) {
if (existingWidget) {
this.removeAPISettingsWidget(node, existingWidget)
}
const element = document.createElement('div')
element.classList.add(
node.properties.mtb_api?.isAPIOutput
? 'mtb_api_output'
: 'mtb_api_settings',
)
if (node.widgets) {
const otherWidgets = node.widgets.filter(
(w) => w.name !== 'apiSettings',
)
for (const w of otherWidgets) {
const section = this.createWidgetSection(node, w)
if (section) {
element.appendChild(section)
}
}
}
this.createNodeSettingsSection(node, element)
// @ts-expect-error - addDOMWidget is a ComfyUI extension
node.addDOMWidget('apiSettings', 'API_SETTINGS', element, {
hideOnZoom: false,
getHeight: () => element.children.length * 80,
})
// Wrap widget callbacks to sync Node → Panel
this.wrapWidgetCallbacks(node)
}
}
/**
* Creates the node-level settings section with export toggle
*/
createNodeSettingsSection(node: MTBNode, element: HTMLElement): void {
const includeInExport = node.properties.mtb_api?.includeInExport !== false
const nodeSettings = $el('div.mtb_api_node_settings', {}, [
$el('span.mtb_api_node_settings_label', { textContent: 'Include in API export' }),
$el('label.mtb_api_toggle', {}, [
$el('input', {
type: 'checkbox',
checked: includeInExport,
onchange: (e: Event) => {
const checked = (e.target as HTMLInputElement).checked
this.applySettings(node, { includeInExport: checked })
},
}),
$el('span.mtb_api_toggle_track'),
]),
])
element.appendChild(nodeSettings)
}
/**
* Applies new settings to the node, merging with existing
*/
applySettings(
node: MTBNode,
newSettings: Partial<APINodeSettings>,
): APINodeSettings {
const settings = node.properties.mtb_api || {}
const result = shared.deepMerge(settings, newSettings) as APINodeSettings
node.setProperty('mtb_api', result)
return result
}
/**
* Ensures widgets are created/removed based on node state
*/
ensureWidgets(node: MTBNode, force?: boolean): void {
const apiSettings = node.widgets?.find((w) => w.name === 'apiSettings')
if (node.properties.useAPI) {
this.createAPISettingsWidget(node, force)
} else {
this.removeAPISettingsWidget(node, apiSettings)
}
}
/**
* Removes the API settings widget from a node
*/
removeAPISettingsWidget(node: MTBNode, apiSettings?: IWidget): void {
if (apiSettings) {
;(apiSettings as IWidget & { onRemoved?: () => void }).onRemoved?.()
;(apiSettings as IWidget & { onRemove?: () => void }).onRemove?.()
node.widgets = node.widgets?.filter((w) => w.name !== 'apiSettings')
// Restore original widget callbacks
this.unwrapWidgetCallbacks(node)
}
}
/**
* Ensures the CSS styles are injected into the document
*/
updateStyleElement(): void {
let styleElement = document.getElementById('mtb-api-widget-styles')
if (!styleElement) {
styleElement = document.createElement('style')
styleElement.id = 'mtb-api-widget-styles'
document.head.appendChild(styleElement)
styleElement.textContent = CSS
}
}
/**
* Converts a ComfyUI widget type to an API input type
*/
apiTypeFromComfyType(comfyType: string): APIInputType {
switch (comfyType) {
case 'number':
return 'NUMBER'
case 'text':
case 'string':
case 'customtext':
return 'STRING'
case 'combo':
return 'COMBO'
case 'toggle':
case 'boolean':
return 'BOOLEAN'
default:
console.log('UNHANDLED widget type:', comfyType, '- defaulting to STRING')
return 'STRING'
}
}
/**
* Creates type-specific configuration UI for a widget
*/
private createTypeSpecificConfig(
node: MTBNode,
widgetName: string,
type: APIInputType,
container: HTMLElement,
): void {
const settings = node.properties.mtb_api?.inputs?.[widgetName] || {}
// Clear previous config UI
const existingConfig = container.querySelector('.mtb_api_type_config')
if (existingConfig) existingConfig.remove()
const configDiv = document.createElement('div')
configDiv.classList.add('mtb_api_type_config')
switch (type) {
case 'NUMBER':
this.createNumberConfig(node, widgetName, settings, configDiv)
break
case 'STRING':
this.createStringConfig(node, widgetName, settings, configDiv)
break
case 'AUDIO':
case 'VIDEO':
this.createMediaConfig(node, widgetName, settings, configDiv)
break
}
if (configDiv.children.length > 0) {
container.appendChild(configDiv)
}
}
/**
* Creates NUMBER-specific config (min, max, step)
*/
private createNumberConfig(
node: MTBNode,
widgetName: string,
settings: Partial<APIInputSettings>,
container: HTMLElement,
): void {
const row = $el('div.mtb_api_config_row', {}, [
$el('label', { textContent: 'min:' }),
$el('input', {
type: 'number',
value: settings.min ?? '',
placeholder: 'auto',
onchange: (e: Event) => {
const val = parseFloat((e.target as HTMLInputElement).value)
this.applySettings(node, {
inputs: { [widgetName]: { min: isNaN(val) ? undefined : val } },
})
notifyAPIChanged()
},
}),
$el('label', { textContent: 'max:' }),
$el('input', {
type: 'number',
value: settings.max ?? '',
placeholder: 'auto',
onchange: (e: Event) => {
const val = parseFloat((e.target as HTMLInputElement).value)
this.applySettings(node, {
inputs: { [widgetName]: { max: isNaN(val) ? undefined : val } },
})
notifyAPIChanged()
},
}),
$el('label', { textContent: 'step:' }),
$el('input', {
type: 'number',
value: settings.step ?? '',
placeholder: 'auto',
onchange: (e: Event) => {
const val = parseFloat((e.target as HTMLInputElement).value)
this.applySettings(node, {
inputs: { [widgetName]: { step: isNaN(val) ? undefined : val } },
})
notifyAPIChanged()
},
}),
])
container.appendChild(row)
}
/**
* Creates STRING-specific config (multiline)
*/
private createStringConfig(
node: MTBNode,
widgetName: string,
settings: Partial<APIInputSettings>,
container: HTMLElement,
): void {
const row = $el('div.mtb_api_config_row', {}, [
$el('label.mtb_api_checkbox_label', {}, [
$el('input', {
type: 'checkbox',
checked: settings.multiline ?? false,
onchange: (e: Event) => {
this.applySettings(node, {
inputs: { [widgetName]: { multiline: (e.target as HTMLInputElement).checked } },
})
notifyAPIChanged()
},
}),
$el('span', { textContent: 'Multiline' }),
]),
])
container.appendChild(row)
}
/**
* Creates AUDIO/VIDEO-specific config (accept, maxDuration, trimEnabled)
*/
private createMediaConfig(
node: MTBNode,
widgetName: string,
settings: Partial<APIInputSettings>,
container: HTMLElement,
): void {
const acceptRow = $el('div.mtb_api_config_row', {}, [
$el('label', { textContent: 'accept:' }),
$el('input', {
type: 'text',
value: settings.accept ?? '',
placeholder: 'audio/* or .mp3,.wav',
onchange: (e: Event) => {
const val = (e.target as HTMLInputElement).value
this.applySettings(node, {
inputs: { [widgetName]: { accept: val || undefined } },
})
notifyAPIChanged()
},
}),
])
const trimRow = $el('div.mtb_api_config_row', {}, [
$el('label', { textContent: 'max duration:' }),
$el('input', {
type: 'number',
value: settings.maxDuration ?? '',
placeholder: 'unlimited',
onchange: (e: Event) => {
const val = parseFloat((e.target as HTMLInputElement).value)
this.applySettings(node, {
inputs: { [widgetName]: { maxDuration: isNaN(val) ? undefined : val } },
})
notifyAPIChanged()
},
}),
$el('span', { textContent: 's' }),
$el('label.mtb_api_checkbox_label', {}, [
$el('input', {
type: 'checkbox',
checked: settings.trimEnabled ?? true,
onchange: (e: Event) => {
this.applySettings(node, {
inputs: { [widgetName]: { trimEnabled: (e.target as HTMLInputElement).checked } },
})
notifyAPIChanged()
},
}),
$el('span', { textContent: 'Enable trim' }),
]),
])
container.appendChild(acceptRow)
container.appendChild(trimRow)
}
/**
* Creates a configuration section for a single widget
*/
createWidgetSection(node: MTBNode, widget: IWidget): HTMLElement | undefined {
const section = document.createElement('div')
const options = node.properties.mtb_api || {}
section.classList.add('mtb_api_section')
// Checkbox to enable/disable section
const enableCheckbox = document.createElement('input')
enableCheckbox.type = 'checkbox'
let enabled = options.inputs?.[widget.name]?.enabled
enabled = enabled === undefined ? true : enabled
this.applySettings(node, {
inputs: { [widget.name]: { enabled } },
})
if (options.showDisabled === false && !enabled) {
return undefined
}
enableCheckbox.checked = enabled
const checkboxLabel = document.createElement('label')
checkboxLabel.classList.add('mtb_api_checkbox_label')
checkboxLabel.appendChild(enableCheckbox)
checkboxLabel.appendChild(document.createTextNode('Enable '))
const contentContainer = document.createElement('div')
enableCheckbox.addEventListener('change', () => {
if (enableCheckbox.checked) {
this.applySettings(node, {
inputs: { [widget.name]: { enabled: true } },
})
contentContainer.classList.remove('mtb_api_disabled')
} else {
this.applySettings(node, {
inputs: { [widget.name]: { enabled: false } },
})
contentContainer.classList.add('mtb_api_disabled')
}
notifyAPIChanged()
})
const title = document.createElement('span')
title.classList.add('mtb_api_title')
title.textContent = widget.name
checkboxLabel.appendChild(title)
// Type selector
const typeLabel = document.createElement('label')
typeLabel.textContent = 'type:'
typeLabel.htmlFor = 'inputType'
const typeSelect = document.createElement('select')
typeSelect.id = 'inputType'
const selectedValue =
options.inputs?.[widget.name]?.type ||
this.apiTypeFromComfyType(widget.type as string)
for (const option of API_INPUT_TYPES) {
const optionElement = document.createElement('option')
optionElement.value = option
optionElement.text = option
if (option === selectedValue) {
this.applySettings(node, {
inputs: { [widget.name]: { type: option } },
})
optionElement.selected = true
}
typeSelect.appendChild(optionElement)
}
typeSelect.addEventListener('change', () => {
const newType = typeSelect.value as APIInputType
this.applySettings(node, {
inputs: { [widget.name]: { type: newType } },
})
// Regenerate type-specific config
this.createTypeSpecificConfig(node, widget.name, newType, contentContainer)
notifyAPIChanged()
})
// Name input
const nameLabel = document.createElement('label')
nameLabel.textContent = 'name:'
nameLabel.htmlFor = 'name'
const nameInput = document.createElement('input')
nameInput.type = 'text'
nameInput.id = 'name'
nameInput.value = options.inputs?.[widget.name]?.name || widget.name
nameInput.addEventListener('change', () => {
this.applySettings(node, {
inputs: { [widget.name]: { name: nameInput.value } },
})
notifyAPIChanged()
})
const separator = document.createElement('hr')
contentContainer.appendChild(nameLabel)
contentContainer.appendChild(nameInput)
contentContainer.appendChild(typeLabel)
contentContainer.appendChild(typeSelect)
// Add type-specific config for initial type
this.createTypeSpecificConfig(node, widget.name, selectedValue, contentContainer)
if (!enabled) {
contentContainer.classList.add('mtb_api_disabled')
}
section.appendChild(checkboxLabel)
section.appendChild(contentContainer)
section.appendChild(separator)
this.updateStyleElement()
return section
}
/**
* Draws the API indicator overlay on the node
* Clean, minimal design with subtle glow effect
*/
drawForeground(
node: MTBNode,
ctx: CanvasRenderingContext2D,
_canvas: LGraphCanvas,
): void {
const isOutput = node.properties.mtb_api?.isAPIOutput === true
const isInput = node.properties.useAPI
if (!isInput && !isOutput) {
return
}
this.ensureWidgets(node)
const color = isOutput ? OUTPUT_COLOR : API_COLOR
const label = isOutput ? 'OUTPUT' : 'API'
const padding = 4
const borderRadius = 8
const titleHeight = LiteGraph.NODE_TITLE_HEIGHT
ctx.save()
// Subtle outer glow
ctx.shadowColor = color
ctx.shadowBlur = 12
ctx.shadowOffsetX = 0
ctx.shadowOffsetY = 0
// Draw subtle border
ctx.strokeStyle = color
ctx.lineWidth = 2
ctx.beginPath()
ctx.roundRect(
-padding,
-(titleHeight + padding),
node.size[0] + padding * 2,
node.size[1] + titleHeight + padding * 2,
borderRadius,
)
ctx.stroke()
// Reset shadow for badge
ctx.shadowBlur = 0
// Draw compact badge
const badgeHeight = 18
const badgeY = -(titleHeight + padding + badgeHeight + 4)
ctx.font = '600 10px -apple-system, BlinkMacSystemFont, sans-serif'
const textMetrics = ctx.measureText(label)
const badgeWidth = textMetrics.width + 12
// Badge background
ctx.fillStyle = color
ctx.beginPath()
ctx.roundRect(0, badgeY, badgeWidth, badgeHeight, 4)
ctx.fill()
// Badge text
ctx.fillStyle = '#fff'
ctx.textBaseline = 'middle'
ctx.fillText(label, 6, badgeY + badgeHeight / 2)
// Draw small icon indicator in corner
const iconSize = 8
const iconX = node.size[0] - iconSize - 4
const iconY = -titleHeight + 4
ctx.fillStyle = color
ctx.beginPath()
ctx.arc(iconX + iconSize / 2, iconY + iconSize / 2, iconSize / 2, 0, Math.PI * 2)
ctx.fill()
ctx.restore()
}
}
/** Singleton instance */
export const apiSettingsWidgetManager = new APISettingsWidgetManager()
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@@ -1,17 +0,0 @@
// import './app.css'
// import App from './App.svelte'
import { mount } from 'svelte'
import Inspector from '../lib/Inspector.svelte'
export const createOutliner = (target: HTMLElement, opts: unknown) => {
const options = opts || {}
const tgt = target || document.body
const app = mount(Inspector, {
// target: document.getElementById('app'),
target: tgt,
props: options,
})
return app
}
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@@ -1,528 +0,0 @@
/** Python REPL for the frontend (uses rich)*/
import { app } from '@/scripts/app'
import * as shared from './comfy_shared.js'
import * as mtb_ui from './mtb_ui.js'
class ComfyREPL extends LiteGraph.LGraphNode {
constructor() {
super()
this.shape = LiteGraph.BOX_SHAPE
this.isVirtualNode = true
this.category = 'mtb/repl'
this.title = '🐍 REPL (mtb)'
this.uuid = shared.makeUUID()
this.size = [600, 400]
// Create a container for our custom widgets
this.widget = this.addDOMWidget('HTML', 'html', this.createREPLWidget())
this.loadAceEditor()
// Store input and output for persistence
this.properties = {
inputCode: '',
outputHistory: '',
}
this.outputArea.innerHTML = this.properties.outputHistory
this.outputArea.scrollTop = this.outputArea.scrollHeight
// Debounced linting function
this.debouncedLint = shared.debounce(this.lintCode.bind(this), 500)
// Resizing state variables
this.isResizing = false
this.initialMouseY = 0
this.initialInputHeight = 0
this.initialOutputHeight = 0
}
loadAceEditor() {
if (window.MTB_ACE) {
return
}
let NEED_PATCH = false
if (window.ace) {
shared.infoLogger(
'A global ace was found in scope, to avoid issues with it we will patch it',
)
NEED_PATCH = true
window._backupAce = window.ace
window.ace = null
}
shared
.loadScript('/mtb_async/ace/ace.js')
.then((m) => {
shared.infoLogger('ACE was loaded', m)
window.MTB_ACE = window.ace
this.initAceEditor()
this.aceEditor.setValue(this.properties.inputCode, -1)
})
.catch((e) => {
shared.errorLogger(e)
})
.finally(() => {
if (NEED_PATCH) {
console.log('Patching back window object')
window.ace = window._backupAce
}
})
}
initAceEditor() {
if (typeof MTB_ACE === 'undefined' || !MTB_ACE.edit) {
console.error('ACE editor not loaded. Cannot set up editors.')
return
}
if (!this.inputDiv) {
console.error('Input div not found for Ace editor initialization.')
return
}
this.aceEditor = MTB_ACE.edit(this.inputDiv)
this.aceEditor.setTheme('ace/theme/monokai') //"ace/theme/dracula", "ace/theme/github"
this.aceEditor.session.setMode('ace/mode/python')
this.aceEditor.setOptions({
enableBasicAutocompletion: true,
enableLiveAutocompletion: true,
enableSnippets: true,
fontSize: '14px',
fontFamily: 'monospace',
showPrintMargin: false,
wrap: true,
tabSize: 4,
useSoftTabs: true,
highlightActiveLine: true,
highlightSelectedWord: true,
cursorStyle: 'ace', // "ace" | "slim" | "smooth" | "wide"
behavioursEnabled: true,
displayIndentGuides: true,
fixedWidthGutter: true,
scrollPastEnd: 0.5,
})
// Custom keybinding for Ctrl+Enter
this.aceEditor.commands.addCommand({
name: 'runCode',
bindKey: { win: 'Ctrl-Enter', mac: 'Command-Enter' },
exec: () => this.executeCode(),
})
// Listen for changes to trigger linting
let lintDisabled = false
this.aceEditor.session.on('change', () => {
if (!lintDisabled) {
this.debouncedLint()
}
})
this.outputArea.scrollTop = this.outputArea.scrollHeight
}
addOutput(html) {
this.outputArea.innerHTML += html
this.properties.outputHistory += html
this.outputArea.scrollTop = this.outputArea.scrollHeight
}
createREPLWidget() {
const container = mtb_ui.makeElement('div', {
display: 'flex',
flexDirection: 'column',
width: '100%',
height: '100%',
boxSizing: 'border-box',
padding: '5px',
})
this.inputDiv = mtb_ui.makeElement(
'div',
{
width: 'calc(100% - 10px)',
height: '100px',
backgroundColor: '#333',
color: '#eee',
border: '1px solid #555',
borderRadius: '4px',
marginBottom: '5px',
boxSizing: 'border-box',
overflow: 'hidden',
},
container,
)
// Resizable Handle
this.handleDiv = mtb_ui.makeElement(
'div',
{
width: '100%',
height: '5px',
backgroundColor: '#666',
cursor: 'ns-resize',
marginBottom: '5px',
borderRadius: '2px',
},
container,
)
this.handleDiv.addEventListener('mousedown', this.startResizing.bind(this))
// Run Button
this.runButton = mtb_ui.makeElement(
'button',
{
width: '100%',
padding: '8px',
backgroundColor: '#555',
color: '#fff',
border: 'none',
borderRadius: '4px',
cursor: 'pointer',
marginBottom: '5px',
fontSize: '14px',
},
container,
)
this.runButton.textContent = 'Run Code (Ctrl+Enter)'
this.runButton.onclick = () => this.executeCode()
// Clear Button
this.clearButton = mtb_ui.makeElement(
'button',
{
width: '100%',
padding: '8px',
backgroundColor: '#555',
color: '#fff',
border: 'none',
borderRadius: '4px',
cursor: 'pointer',
marginBottom: '5px',
fontSize: '14px',
},
container,
)
this.clearButton.textContent = 'Clear Output'
this.clearButton.onclick = () => {
this.outputArea.innerHTML = ''
this.properties.outputHistory = ''
}
// Output Area
this.outputArea = mtb_ui.makeElement(
'div',
{
flexGrow: '1',
width: 'calc(100% - 10px)',
backgroundColor: '#222',
color: '#ddd',
border: '1px solid #555',
borderRadius: '4px',
padding: '5px',
fontFamily: 'monospace',
fontSize: '14px',
overflowY: 'auto',
whiteSpace: 'pre-wrap',
boxSizing: 'border-box',
},
container,
)
return container
}
// --- Resizing Logic ---
startResizing(e) {
if (!this.inputDiv) {
shared.infoLogger("The input div isn't ready", this)
shared.errorLogger("The input div isn't ready")
return
}
this.isResizing = true
this.initialMouseY = e.clientY
this.initialInputHeight = this.inputDiv.offsetHeight
this.initialOutputHeight = this.outputArea.offsetHeight
document.addEventListener('mousemove', this.doResize.bind(this))
document.addEventListener('mouseup', this.stopResizing.bind(this))
document.body.style.cursor = 'ns-resize' // Change cursor globally
}
doResize(e) {
if (!this.isResizing) return
const deltaY = e.clientY - this.initialMouseY
let new_input_height = this.initialInputHeight + deltaY
let new_output_height = this.initialOutputHeight - deltaY
const minInputHeight = 50 // Minimum height for Ace editor
const minOutputHeight = 50 // Minimum height for output area
// Clamp heights to minimums
if (new_input_height < minInputHeight) {
new_input_height = minInputHeight
new_output_height =
this.initialInputHeight + this.initialOutputHeight - minInputHeight
}
if (new_output_height < minOutputHeight) {
new_output_height = minOutputHeight
new_input_height =
this.initialInputHeight + this.initialOutputHeight - minOutputHeight
}
this.inputDiv.style.height = `${new_input_height}px`
this.outputArea.style.height = `${new_output_height}px`
// Update the stored ratio for persistence
const totalDynamicHeight =
this.inputDiv.offsetHeight + this.outputArea.offsetHeight
if (totalDynamicHeight > 0) {
this.properties.inputHeightRatio = new_input_height / totalDynamicHeight
}
this.aceEditor.resize() // Important for Ace to redraw
}
stopResizing() {
this.isResizing = false
document.removeEventListener('mousemove', this.doResize)
document.removeEventListener('mouseup', this.stopResizing)
document.body.style.cursor = '' // Restore default cursor
}
// --- End Resizing Logic ---
async executeCode() {
const code = this.aceEditor.getValue()
if (!code.trim()) {
return
}
const inputPrompt = `<div style="color:#888; margin-top: 10px;">>>> ${code}</div>`
this.addOutput(inputPrompt)
try {
const response = await fetch('/mtb/execute', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
},
body: JSON.stringify({ code: code, name: this.uuid }),
})
if (!response.ok) {
throw new Error(`HTTP error! status: ${response.status}`)
}
const result = await response.json()
console.debug('Received from backend', result)
const outputHtml = result.output_html || ''
const error = result.error
if (error) {
this.addOutput(
`<div style="color: #f00; font-weight: bold;">Error:</div>${outputHtml}`,
)
} else {
this.addOutput(outputHtml)
}
} catch (e) {
const errorMessage = `<div style="color: #f00;">Frontend Error: ${e.message}</div>`
this.addOutput(errorMessage)
console.error('ComfyREPL Frontend Error:', e)
} finally {
// Not clearing
// this.inputArea.value = '' // Clear input after execution
// this.properties.inputCode = '' // Clear persisted input
}
}
async lintCode() {
if (!this.aceEditor) {
return
}
const code = this.aceEditor.getValue()
if (!code.trim()) {
this.aceEditor.session.setAnnotations([]) // Clear annotations if empty
return
}
try {
const response = await fetch('/mtb/lint', {
// New linting endpoint
method: 'POST',
headers: {
'Content-Type': 'application/json',
},
body: JSON.stringify({ code: code, name: this.uuid }),
})
if (!response.ok) {
console.log(response)
throw new Error(
`HTTP error! status: ${response.status} ${response.statusText}`,
)
}
const result = await response.json()
// result.diagnostics should be an array of {row, column, text, type}
this.aceEditor.session.setAnnotations(result.diagnostics)
} catch (e) {
console.error('ComfyREPL Linting Error:', e)
this.aceEditor.session.setAnnotations([
{
row: 0,
column: 0,
text: `Linting failed: ${e.message}`,
type: 'error',
},
])
}
}
// Restore properties when loading a graph
onConfigure() {
if (this.properties.inputCode && this.aceEditor) {
this.aceEditor.setValue(this.properties.inputCode, -1)
}
// if (this.properties.inputCode) {
// this.inputArea.value = this.properties.inputCode
// }
if (this.properties.outputHistory) {
this.outputArea.innerHTML = this.properties.outputHistory
this.outputArea.scrollTop = this.outputArea.scrollHeight
}
if (this.properties.uuid) {
this.uuid = this.properties.uuid
}
this.debouncedLint()
this.onResize(this.size)
}
// Save properties when saving a graph
onSerialize(o) {
if (this.aceEditor) {
o.properties.inputCode = this.aceEditor.getValue() //this.inputArea.value
}
o.properties.outputHistory = this.outputArea.innerHTML
o.properties.uuid = this.uuid
o.properties.inputHeightRatio = this.properties.inputHeightRatio
}
onRemoved() {
// Clean up DOM elements when node is removed
if (this.widget?.element?.parentNode) {
this.widget.element.parentNode.removeChild(this.widget.element)
}
// Destroy Ace editor instance to prevent memory leaks
if (this.aceEditor) {
this.aceEditor.destroy()
this.aceEditor.container.remove() // Remove the Ace container div from DOM
}
// Clean up global event listeners if node is removed while resizing
document.removeEventListener('mousemove', this.doResize)
document.removeEventListener('mouseup', this.stopResizing)
document.body.style.cursor = ''
}
// LiteGraph method to handle node resizing
onResize(size) {
// Call parent method if it exists (important for LiteGraph's internal sizing)
if (super.onResize) {
super.onResize(size)
}
// Adjust container size
const container = this.widget.element
container.style.width = `${size[0] - 10}px` // Account for padding
container.style.height = `${size[1] - 10}px`
// Adjust input and output area widths
this.inputDiv.style.width = 'calc(100% - 10px)'
this.outputArea.style.width = 'calc(100% - 10px)'
//
// const old = () => {
// // Calculate remaining height for output area
// // Ace editor manages its own height within this.inputDiv, so we use offsetHeight
// const inputHeight = this.inputDiv.offsetHeight
// const runButtonHeight = this.runButton.offsetHeight
// const clearButtonHeight = this.clearButton.offsetHeight
// const totalFixedHeight =
// inputHeight + runButtonHeight + clearButtonHeight + 15 // 15 for margins/padding
//
// const remainingHeight = size[1] - 10 - totalFixedHeight
// this.outputArea.style.height = `${Math.max(50, remainingHeight)}px` // Min height 50px
// }
// Calculate dynamic heights
const containerHeight = size[1] - 10
const handleHeight = this.handleDiv.offsetHeight
const buttonHeights =
this.runButton.offsetHeight + this.clearButton.offsetHeight + 15 // Sum of button heights + margins
const dynamicContentHeight = containerHeight - buttonHeights - handleHeight
const minInputHeight = 50
const minOutputHeight = 50
let inputHeight = Math.max(
minInputHeight,
dynamicContentHeight * (this.properties.inputHeightRatio || 1.0),
)
let outputHeight = Math.max(
minOutputHeight,
dynamicContentHeight - inputHeight,
)
//
// // Re-distribute if one hits its minimum
// if (
// inputHeight === minInputHeight &&
// dynamicContentHeight - minInputHeight > minOutputHeight
// ) {
// outputHeight = dynamicContentHeight - minInputHeight
// } else if (
// outputHeight === minOutputHeight &&
// dynamicContentHeight - minOutputHeight > minInputHeight
// ) {
// inputHeight = dynamicContentHeight - minOutputHeight
// }
//
// // Final check to ensure total height matches available dynamic space
// const currentTotal = inputHeight + outputHeight
// if (currentTotal !== dynamicContentHeight) {
// // Adjust one of them if there's a small discrepancy due to rounding
// if (inputHeight > minInputHeight) {
// inputHeight += dynamicContentHeight - currentTotal
// } else if (outputHeight > minOutputHeight) {
// outputHeight += dynamicContentHeight - currentTotal
// }
// }
this.inputDiv.style.height = `${inputHeight}px`
this.outputArea.style.height = `${outputHeight}px`
// Update the ratio based on the actual heights set
if (dynamicContentHeight > 0) {
this.properties.inputHeightRatio = inputHeight / dynamicContentHeight
}
// Inform Ace editor about the resize so it can redraw its content
if (this.aceEditor) {
this.aceEditor.resize()
}
}
}
const repl = {
name: 'mtb.repl',
registerCustomNodes() {
LiteGraph.registerNodeType('Python REPL', ComfyREPL)
},
}
app.registerExtension(repl)
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/// <reference types="comfyui-frontend-types" />
// Declare the ComfyUI 'app' module using the alias path
declare module '@/scripts/app' {
// Assuming ComfyApp is defined in src/types/comfyui.d.ts or an installed @types package
import type { ComfyApp } from '@comfyorg/comfyui-frontend-types' // Adjust path if ComfyApp is in a different file
export const app: ComfyApp
// You might also export other things if they are part of this module
// export const api: ComfyApi;
}
// Declare the ComfyUI 'app' module using the relative path
// This is less ideal as it's a runtime path, but covers your existing imports
declare module '../../scripts/app.js' {
import type { ComfyApp } from '@comfyorg/comfyui-frontend-types' // Adjust path
export const app: ComfyApp
}
// If you import other ComfyUI modules, declare them here too:
declare module '@/scripts/api' {
import type { ComfyApp } from '@comfyorg/comfyui-frontend-types' // Adjust path
export const api: ComfyApi
}
// declare module '@/scripts/utils' {
// // Define types for utils if available
// export const utils: any // Replace with actual type
// }
// Add declarations for any other ComfyUI internal modules you import
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/// <reference types="svelte" />
/// <reference types="vite/client" />
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import { vitePreprocess } from '@sveltejs/vite-plugin-svelte'
export default {
// Consult https://svelte.dev/docs#compile-time-svelte-preprocess
// for more information about preprocessors
preprocess: vitePreprocess(),
}
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const macrosPlugin = require('./mtb_macros')
module.exports = {
// Specify the custom plugin to use
swcPlugins: [macrosPlugin()],
}
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// tsconfig.json
{
"compilerOptions": {
"target": "es2020", // Or "esnext" for modern JS features
"module": "esnext", // Or "commonjs" if you're using a bundler that transpiles
"moduleResolution": "bundler",
"lib": ["dom", "es2020"], // Include DOM types for browser environment
"jsx": "react-jsx", // If you're using React/JSX
"strict": true, // Enable all strict type-checking options
"esModuleInterop": true, // Allows default imports from modules with no default export
"skipLibCheck": true, // Skip type checking of all declaration files (*.d.ts)
"forceConsistentCasingInFileNames": true, // Ensure consistent file casing
// --- Crucial for ComfyUI imports ---
"baseUrl": "./src", // Base directory for resolving non-relative module names
"paths": {
// Map the ComfyUI alias to a dummy location or just declare it
// This tells TS that anything starting with '@/scripts/' should be looked for relative to baseUrl
// However, for external modules like ComfyUI's, we'll primarily rely on `declare module`
"@/scripts/*": ["src/types/shims/*"] // This path doesn't need to exist, it's just a placeholder for TS resolution
},
"typeRoots": [
"./node_modules/@types", // Default location for npm @types packages
"./node_modules/@comfyorg",
"./src/types" // Your custom types directory
],
"outDir": "./dist", // Where your compiled JS files will go
"rootDir": "./src" // Your source code directory
},
"include": [
"src/**/*.ts",
"src/**/*.tsx",
"src/**/*.svelte",
"src/types/**/*.d.ts", // Include your custom declaration files
"./node_modules/@comfyorg/**/*.d.ts"
],
"exclude": ["node_modules", "dist"]
}
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{
"files": [], // No files directly in this config
"references": [
{ "path": "./tsconfig.app.json" },
{ "path": "./tsconfig.node.json" }
]
}
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// tsconfig.node.json
{
"compilerOptions": {
"composite": true, // Recommended for project references
"module": "esnext",
"moduleResolution": "bundler", // Or "node"
"allowSyntheticDefaultImports": true,
"target": "es2020",
"lib": ["es2020"], // Node.js environment, no DOM
"types": ["node"], // Explicitly include Node.js types
"noEmit": true, // Don't emit JS files for this config, just for type checking
"strict": true,
"esModuleInterop": true,
"skipLibCheck": true,
"forceConsistentCasingInFileNames": true
},
"include": ["vite.config.ts"] // Only include the Vite config file here
}
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/// <reference types="node" />
import { defineConfig, type Plugin } from 'vite'
import { svelte } from '@sveltejs/vite-plugin-svelte'
import cssInjectedByJsPlugin from 'vite-plugin-css-injected-by-js'
import path from 'node:path'
// import MtbBundle from './vite_mtb_bundle'
interface ComfyUIEnv {
VITE_COMFYUI_HOST?: string
}
// region inlined
const rewriteComfyImports = ({
isDev,
comfyuiHost,
}: { isDev: boolean; comfyuiHost: string }): Plugin => {
return {
name: 'rewrite-comfy-imports',
resolveId(source, importer, options) {
// Only apply in development mode
if (!isDev) {
return null
}
// Check if the source is one of ComfyUI's core scripts
// We'll handle both the direct '/scripts/app.js' and the aliased '@/scripts/app'
const comfyScriptMatch = source.match(/^\/?scripts\/(app|api|ui)\.js$/)
const comfyAliasMatch = source.match(/^@\/scripts\/(app|api|ui)$/)
if (comfyScriptMatch || comfyAliasMatch) {
console.log('found match')
const scriptName = comfyScriptMatch
? comfyScriptMatch[1]
: comfyAliasMatch[1]!
// Return the full URL to the ComfyUI server's script
return `${comfyuiHost}/scripts/${scriptName}.js`
}
return null
},
}
}
// endregion inlined
const entryPoints = {
mtb_inspector: path.resolve(__dirname, 'src/mtb_inspector/index.ts'),
mtb_api: path.resolve(__dirname, 'src/mtb_api/index.ts'),
comfy_shared: path.resolve(__dirname, 'src/comfy_shared/index.ts'),
}
import noBundlePlugin from 'vite-plugin-no-bundle'
// https://vitejs.dev/config/
export default defineConfig(({ mode }) => {
const isDev = mode === 'development'
const env = process.env as unknown as ComfyUIEnv
const comfyuiHost = env.VITE_COMFYUI_HOST || 'https://mel-pc.tail3c8eb.ts.net'
return {
// root: path.resolve(__dirname, 'src'),
build: {
sourcemap: true,
lib: {
formats: ['es'],
// name: 'mtb',
// fileName: 'mtb_inspector',
// entry: 'src/lib.js',
entry: entryPoints,
// fileName can be a function that receives the entry name
// This will output files like 'mtb_inspector.js', 'mtb_react_widget.js'
fileName: (format, entryName) => `${entryName}.js`,
},
rollupOptions: {
external: [
'/scripts/app.js',
'/scripts/api.js',
'/scripts/ui.js',
'@mtb/shared',
'/mtb_async/mtb_markdown.umd.js',
'/mtb_async/mtb_markdown_plus.umd.js',
],
// input: entryPoints,
output: {
chunkFileNames: 'chunks/[name]-[hash].js',
assetFileNames: 'assets/[name][extname]',
// Remap external imports to actual runtime paths
paths: {
'@mtb/shared': '../comfy_shared.js',
},
manualChunks(id) {
// Create a 'vendor' chunk for all node_modules
console.log(id)
if (id.includes('node_modules')) {
return 'vendor'
}
// You can add more specific chunking logic here if needed
// For example, to split React and Svelte into separate vendor chunks:
// if (id.includes('node_modules/react') || id.includes('node_modules/react-dom')) {
// return 'react-vendor';
// }
// if (id.includes('node_modules/svelte')) {
// return 'svelte-vendor';
// }
},
},
},
},
ssr: {
external: ['/scripts/app.js', '/scripts/api.js', '/scripts/ui.js'],
},
plugins: [
rewriteComfyImports({ isDev, comfyuiHost }),
svelte(),
// MtbBundle(),
cssInjectedByJsPlugin({ styleId: 'mtb_inspector_style' }),
],
resolve: {
alias: {
'@/scripts/app': isDev
? path.resolve(__dirname, 'src/mocks/app.ts')
: '/scripts/app.js',
'@/scripts/api': isDev
? path.resolve(__dirname, 'src/mocks/api.ts')
: '/scripts/api.js',
'@/scripts/ui': isDev
? path.resolve(__dirname, 'src/mocks/ui.ts')
: '/scripts/ui.js',
// comfy_shared.js - only alias in dev (prod uses external + output.paths)
...(isDev && {
'@mtb/shared': path.resolve(__dirname, 'src/mocks/comfy_shared.ts'),
}),
},
},
}
})
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import { build } from 'vite'
/**
* @param {{dev:boolean, styleId:string}} user_config
* @returns {import('vite').Plugin[]} plugin
*/
const MtbBundle = (user_config) => {
let uconfig = user_config || {}
uconfig = { dev: false, styleId: 'mtb_style', ...uconfig }
/** @type {import('vite').ResolvedConfig} */
let config
/** @type {import('vite').Plugin[]} plugin */
const plugins = [
{
apply: 'build',
enforce: 'post',
name: 'vite-mtb-bundle',
config(config, env) {
console.log(env.command)
},
configResolved(_config) {
config = _config
},
async generateBundle(opts, bundle) {
console.log(config.build)
const cssAssets = Object.keys(bundle).filter(
(i) =>
bundle[i].type === 'asset' && bundle[i].fileName.endsWith('.css'),
)
const generatedStyleId =
typeof uconfig.styleId === 'function'
? uconfig.styleId()
: uconfig.styleId
},
},
]
if (uconfig.dev) {
plugins.push({
name: 'vite-mtb-bundle-dev',
apply: 'serve',
enforce: 'post',
transform(src, id) {
return {
code: src,
map: null,
}
},
})
}
return plugins
}
export default MtbBundle