Files
DemonGatanjieu-Anomalous_Mo…/api/blocks/control_depth.json
T
DemonGatanjieuandClaude Opus 5.5 dd9c3ee2f5 Tags from a picture, run words to the AI, colour matching after upscales
- tags_from_picture: WD14 tagger (the source's model and thresholds) on a
  picture the user handed; run_status now carries what nodes showed as words
  (texts: a tagger's tags), with a summary and next step for a run that made
  words but no pictures.
- Optional nodes: a block node marked optional goes when its pack is missing,
  and a link "match|decode" takes the first one there. The four upscales end in
  KJNodes' ColorMatch (mkl, the source's) when it is installed; the panel says
  "better with" it otherwise.
- LanPaint's next step keeps the prompt about the whole picture; Follow a pose
  says OpenPose misreads anime (use control_depth), as the source's author did.
- The directory has a size cap: past it, block names alone, so collected ways
  never make begin_task long; shorter headings and few-word lines.

Live-tested on the isolated 8199 ComfyUI: LanPaint (area changed 14.6, outside
0.0, 82 s), tiled 2x (167 s), depth ControlNet (follows the layout), OpenPose
(misreads an anime picture), background removal (8 s), tags (166 s with the
model download), upscale with ColorMatch (73 s).

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-27 03:31:04 +08:00

78 lines
1.9 KiB
JSON

{
"job": "follow",
"rank": 2,
"short": "its layout",
"title": {
"zh": "照着构图画",
"en": "Follow a layout"
},
"about": {
"zh": "你递给 AI 一张图,AMB 读出远近和形状(深度图),让新图保持这个构图。",
"en": "From a picture you hand the AI, Anomalous reads its depth and keeps that layout and those shapes."
},
"source": {
"zh": "参考工作流的「底图控制网」组(作者默认用深度)",
"en": "The reference workflow's ControlNet group (depth, its default)"
},
"packs": {
"DepthAnythingV2Preprocessor": "comfyui_controlnet_aux"
},
"takes": "reference",
"control": "depth",
"nodes": {
"reference": {
"class_type": "LoadImage",
"inputs": {
"image": "$image"
}
},
"depth": {
"class_type": "DepthAnythingV2Preprocessor",
"inputs": {
"image": [
"reference",
0
],
"ckpt_name": "depth_anything_v2_vitl.pth",
"resolution": 1024
}
},
"controlnet": {
"class_type": "ControlNetLoader",
"inputs": {
"control_net_name": "$controlnet"
}
},
"steer": {
"class_type": "ControlNetApplyAdvanced",
"inputs": {
"positive": [
"$sampler.positive",
"*"
],
"negative": [
"$sampler.negative",
"*"
],
"control_net": [
"controlnet",
0
],
"image": [
"depth",
0
],
"vae": [
"$decode.vae",
"*"
],
"strength": 0.7,
"start_percent": 0.0,
"end_percent": 0.7
},
"wire_to": "$sampler"
}
},
"after": "run_workflow: the picture now keeps that layout (strength 0.7, for the first 70% of the steps; lower either to let the model change more). The prompt still says what is drawn."
}