DemonGatanjieuandClaude Opus 5.5
78502e66c4
- api/block_models.json: the 15 models the ways recommend, each with its Hugging Face / Civitai / GitHub links, size, SHA256 (all checked against the sites), licence and folder. A block's "models" names its recommended ones; the Ways panel ticks those here (by name, or by size for a renamed copy) and downloads a missing one in a click with model_download.downloadFrom, its hash checked. - A block's "tested": the card (RTX 4050 laptop, 6 GB), sizes and a whole run's time, shown in the panel and told to the AI with the block (answer.tested). - color_lineart gets an Anima variant with Anima's lineart LLLite. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
162 lines
4.4 KiB
JSON
162 lines
4.4 KiB
JSON
{
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"job": "follow",
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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": "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。 画布上是 Anima 模型时，自动改用 Anima 专用的 LLLite 控制网（需要 ComfyUI-Anima-LLLite）。",
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"en": "From a picture you hand the AI, Anomalous reads its depth and keeps that layout and those shapes. On an Anima model it uses an Anima ControlNet-LLLite instead (needs ComfyUI-Anima-LLLite)."
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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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"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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