DemonGatanjieuandClaude Opus 5.5
8ecc261949
Every block in api/blocks names what it gives a block after it ("gives": its sampler and its
output node; {} for one that changes the step it is put on) and its own model loader
("own_model"). api/block_chain.py builds a list of steps on a new tab: the picture first, each
next block anchored to what the step before gave, by near_node_id and a new page-only
save_node_id (canvas_roles.js findRoles pins the output node), so a canvas with several
samplers and outputs is no guess. add_nodes' answer names the block it built.
Redraw with another model and face/hand detailing now take the step before's picture
("$save.images") instead of the sampler's decode, which after an enlargement is the older
picture. The two-model routes are built as two-step chains; routes.json no longer names the
loaders.
Checked through the real page on the test ComfyUI: the Tile route on two Anima models (base on
Harem 1.5, Tile redraw on Kirazuri v4, from the base's picture and prompts), then face and hand
detailing after it took the Tile step's colour-matched picture.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
164 lines
4.1 KiB
JSON
164 lines
4.1 KiB
JSON
{
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"job": "follow",
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"want": "layout",
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"rank": 2,
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"short": "its layout",
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"title": {
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"zh": "照着构图画",
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"en": "Follow a layout"
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},
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"about": {
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"zh": "读出参考图的深度，照着它的构图画。",
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"en": "Reads a picture's depth and draws to its layout."
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},
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"source": {
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"zh": "参考工作流的「底图控制网」组（作者默认用深度）",
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"en": "The reference workflow's ControlNet group (depth, its default)"
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},
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"packs": {
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"DepthAnythingV2Preprocessor": "comfyui_controlnet_aux"
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},
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"takes": "reference",
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"control": "depth",
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"nodes": {
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"reference": {
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"class_type": "LoadImage",
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"inputs": {
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"image": "$image"
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}
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},
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"depth": {
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"class_type": "DepthAnythingV2Preprocessor",
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"inputs": {
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"image": [
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"reference",
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0
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],
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"ckpt_name": "depth_anything_v2_vitl.pth",
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"resolution": 1024
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}
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},
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"controlnet": {
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"class_type": "ControlNetLoader",
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"inputs": {
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"control_net_name": "$controlnet"
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}
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},
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"steer": {
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"class_type": "ControlNetApplyAdvanced",
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"inputs": {
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"positive": [
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"$sampler.positive",
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"*"
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],
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"negative": [
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"$sampler.negative",
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"*"
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],
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"control_net": [
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"controlnet",
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0
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],
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"image": [
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"depth",
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0
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],
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"vae": [
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"$decode.vae",
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"*"
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],
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"strength": 0.7,
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"start_percent": 0.0,
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"end_percent": 0.7
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},
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"wire_to": "$sampler"
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},
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"look": {
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"class_type": "PreviewImage",
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"inputs": {
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"images": [
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"depth",
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0
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]
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}
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}
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},
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"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. Its depth map is among the run's previews: if it is empty or wrong (a crowded or very stylised picture), the picture is too hard to read.",
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"gives": {},
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"variants": {
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"anima": {
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"packs": {
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"DepthAnythingV2Preprocessor": "comfyui_controlnet_aux",
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"AnimaLLLiteApply_sdscripts": "ComfyUI-Anima-LLLite"
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},
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"control": null,
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"lllite": "depth",
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"nodes": {
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"reference": {
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"class_type": "LoadImage",
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"inputs": {
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"image": "$image"
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}
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},
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"depth": {
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"class_type": "DepthAnythingV2Preprocessor",
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"inputs": {
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"image": [
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"reference",
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0
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],
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"ckpt_name": "depth_anything_v2_vitl.pth",
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"resolution": 1024
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}
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},
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"steer": {
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"class_type": "AnimaLLLiteApply_sdscripts",
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"inputs": {
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"model": [
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"$sampler.model",
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"*"
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],
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"lllite_name": "$lllite",
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"image": [
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"depth",
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0
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],
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"strength": 1.0,
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"start_percent": 0.0,
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"end_percent": 1.0,
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"preserve_wrapper": true
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},
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"wire_to": "$sampler"
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},
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"look": {
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"class_type": "PreviewImage",
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"inputs": {
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"images": [
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"depth",
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0
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]
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}
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}
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},
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"after": "On this Anima model an Anima ControlNet-LLLite steers it, more gently than an SDXL ControlNet: say in the prompt what the picture shows (how many people, what they do), or the prompt wins. Strength 1.0 for all the steps; up to 1.5 holds it closer. run_workflow. Its depth map is among the run's previews: if it is empty or wrong (a crowded or very stylised picture), the picture is too hard to read."
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}
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},
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"models": [
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"xinsir_depth_sdxl",
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"union_promax_sdxl",
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"anima_lllite_depth"
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],
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"tested": {
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"gpu": "RTX 4050 Laptop",
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"vram_gb": 6,
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"date": "2026-10-27",
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"runs": [
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{
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"model": "Anima",
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"size": "1216×832",
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"seconds": 115
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}
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]
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}
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}
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