Files
DemonGatanjieuandClaude Opus 5.5 a2b25ab1d9 Group the examples by plan and add Anima two-pass versions
Anima loads through other nodes than a checkpoint, so none of the examples
could open on it. Two passes now comes in three versions: SDXL / SD 1.5,
Anima on ComfyUI's own nodes, and the recommended Anima held by Tile, the
way's tested values, kept in step by a test. The own-nodes version redraws
at 0.35: at 0.5 the shapes began to move with nothing holding them.

The window shows plans, versions and notes. A version that lacks a pack
or a model says what and has no Open button; an AI only gets those that
can run here. The layers of cards, examples, ways and skills are written
down as AD-025.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-11-06 01:30:25 +08:00

742 lines
12 KiB
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{
"name": "Example: two passes",
"title": {
"zh": "两段放大",
"en": "Two passes"
},
"about": {
"zh": "只用官方节点:先出一张图,放大 1.25 倍再重绘一遍。这是最简单的两段;想用放大模型或 Tile 锁图,用“做法”里的放大。",
"en": "ComfyUI's own nodes only: a picture, then enlarged 1.25x and redrawn. The plainest two passes; for an upscale model or a Tile lock, use the upscale ways in Ways."
},
"ai": "A pass, then the latent enlarged 1.25x and redrawn at denoise 0.5. open_workflow, set_model on its loader, then run_workflow with the prompt. For an upscale model or a Tile lock, add_nodes(use='upscale') on a one-pass canvas does better.",
"version": {
"zh": "SDXL / SD 1.5",
"en": "SDXL / SD 1.5"
},
"family": "sd",
"workflow": {
"id": "00000000-0000-0000-0000-000000000000",
"revision": 0,
"last_node_id": 9,
"last_link_id": 14,
"nodes": [
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"id": 1,
"type": "CheckpointLoaderSimple",
"pos": [
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120
],
"size": [
273.4576171875,
98
],
"flags": {},
"order": 0,
"mode": 0,
"inputs": [
{
"localized_name": "Checkpoint名称",
"name": "ckpt_name",
"type": "COMBO",
"widget": {
"name": "ckpt_name"
},
"link": null
}
],
"outputs": [
{
"localized_name": "模型",
"name": "MODEL",
"type": "MODEL",
"links": [
3,
8
]
},
{
"localized_name": "CLIP",
"name": "CLIP",
"type": "CLIP",
"links": [
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]
},
{
"localized_name": "VAE",
"name": "VAE",
"type": "VAE",
"links": [
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]
}
],
"properties": {
"Node name for S&R": "CheckpointLoaderSimple"
},
"widgets_values": [
""
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},
{
"id": 2,
"type": "CLIPTextEncode",
"pos": [
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"size": [
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"flags": {},
"order": 4,
"mode": 0,
"inputs": [
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"localized_name": "clip",
"name": "clip",
"type": "CLIP",
"link": 1
},
{
"localized_name": "文本",
"name": "text",
"type": "STRING",
"widget": {
"name": "text"
},
"link": null
}
],
"outputs": [
{
"localized_name": "条件",
"name": "CONDITIONING",
"type": "CONDITIONING",
"links": [
4,
9
]
}
],
"properties": {
"Node name for S&R": "CLIPTextEncode"
},
"widgets_values": [
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},
{
"id": 3,
"type": "CLIPTextEncode",
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440,
300
],
"size": [
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200
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"flags": {},
"order": 5,
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"inputs": [
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"type": "STRING",
"widget": {
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],
"outputs": [
{
"localized_name": "条件",
"name": "CONDITIONING",
"type": "CONDITIONING",
"links": [
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}
],
"properties": {
"Node name for S&R": "CLIPTextEncode"
},
"widgets_values": [
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},
{
"id": 4,
"type": "EmptyLatentImage",
"pos": [
440,
540
],
"size": [
270,
106
],
"flags": {},
"order": 1,
"mode": 0,
"inputs": [
{
"localized_name": "宽度",
"name": "width",
"type": "INT",
"widget": {
"name": "width"
},
"link": null
},
{
"localized_name": "高度",
"name": "height",
"type": "INT",
"widget": {
"name": "height"
},
"link": null
},
{
"localized_name": "批量大小",
"name": "batch_size",
"type": "INT",
"widget": {
"name": "batch_size"
},
"link": null
}
],
"outputs": [
{
"localized_name": "Latent",
"name": "LATENT",
"type": "LATENT",
"links": [
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}
],
"properties": {
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"inputs": [
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},
{
"localized_name": "正面条件",
"name": "positive",
"type": "CONDITIONING",
"link": 4
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{
"localized_name": "负面条件",
"name": "negative",
"type": "CONDITIONING",
"link": 5
},
{
"localized_name": "Latent图像",
"name": "latent_image",
"type": "LATENT",
"link": 6
},
{
"localized_name": "种子",
"name": "seed",
"type": "INT",
"widget": {
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{
"localized_name": "步数",
"name": "steps",
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{
"localized_name": "cfg",
"name": "cfg",
"type": "FLOAT",
"widget": {
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},
{
"localized_name": "采样器名称",
"name": "sampler_name",
"type": "COMBO",
"widget": {
"name": "sampler_name"
},
"link": null
},
{
"localized_name": "调度器",
"name": "scheduler",
"type": "COMBO",
"widget": {
"name": "scheduler"
},
"link": null
},
{
"localized_name": "降噪",
"name": "denoise",
"type": "FLOAT",
"widget": {
"name": "denoise"
},
"link": null
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],
"outputs": [
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"localized_name": "Latent",
"name": "LATENT",
"type": "LATENT",
"links": [
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"flags": {},
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"inputs": [
{
"localized_name": "Latent",
"name": "samples",
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{
"localized_name": "缩放算法",
"name": "upscale_method",
"type": "COMBO",
"widget": {
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},
"link": null
},
{
"localized_name": "缩放比例",
"name": "scale_by",
"type": "FLOAT",
"widget": {
"name": "scale_by"
},
"link": null
}
],
"outputs": [
{
"localized_name": "Latent",
"name": "LATENT",
"type": "LATENT",
"links": [
11
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}
],
"properties": {
"Node name for S&R": "LatentUpscaleBy"
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"widgets_values": [
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{
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"flags": {},
"order": 8,
"mode": 0,
"inputs": [
{
"localized_name": "模型",
"name": "model",
"type": "MODEL",
"link": 8
},
{
"localized_name": "正面条件",
"name": "positive",
"type": "CONDITIONING",
"link": 9
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{
"localized_name": "负面条件",
"name": "negative",
"type": "CONDITIONING",
"link": 10
},
{
"localized_name": "Latent图像",
"name": "latent_image",
"type": "LATENT",
"link": 11
},
{
"localized_name": "种子",
"name": "seed",
"type": "INT",
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{
"localized_name": "步数",
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{
"localized_name": "cfg",
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{
"localized_name": "采样器名称",
"name": "sampler_name",
"type": "COMBO",
"widget": {
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},
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{
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{
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"type": "VAE",
"link": 13
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],
"outputs": [
{
"localized_name": "图像",
"name": "IMAGE",
"type": "IMAGE",
"links": [
14
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}
],
"properties": {
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{
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"name": "images",
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{
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}