DemonGatanjieuandClaude Opus 5.5
e34112463e
A block's "variants" rebuild it for the canvas model's family (reference_blocks.build, which also returns its roles and next step): on an Anima model control_depth and control_pose patch the model with an Anima ControlNet-LLLite instead of a ControlNet, and inpaint_crop_stitch adds Anima's repaint LLLite on the crop; the AI still only names the block. Base packs are checked before the page is asked which model the canvas has. Live-tested on the isolated 8199 ComfyUI with an Anima model: repaint changed the marked hand (43.9) and nothing outside (0.0); depth steers gently, so the Anima next step says the prompt has to agree with the picture. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
131 lines
4.0 KiB
JSON
131 lines
4.0 KiB
JSON
{
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"job": "follow",
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"rank": 1,
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"short": "its pose, for photos and 3D",
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"title": {
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"zh": "照着姿势画",
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"en": "Follow a pose"
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},
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"about": {
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"zh": "你递给 AI 一张图，AMB 读出人物姿势（OpenPose），用和你底模对得上的控制网让新图摆出这个姿势。 OpenPose 认真人照片和 3D 图准，认二次元人物常常认错，二次元图用「照着构图画」更稳（参考工作流作者也这么说）。 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 the pose (OpenPose) and steers the picture with a ControlNet that fits your model. OpenPose reads photos and 3D well and anime characters often wrongly; for anime, Follow a layout is steadier (as the source's author says). 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",
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"en": "The reference workflow's ControlNet group"
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},
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"packs": {
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"OpenposePreprocessor": "comfyui_controlnet_aux"
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},
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"takes": "reference",
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"control": "pose",
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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": "$image"
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}
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},
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"pose": {
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"class_type": "OpenposePreprocessor",
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"inputs": {
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"image": [
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"reference",
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0
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],
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"detect_hand": "enable",
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"detect_body": "enable",
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"detect_face": "enable",
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"resolution": 1024
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}
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},
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"controlnet": {
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"class_type": "ControlNetLoader",
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"inputs": {
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"control_net_name": "$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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"pose",
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0
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],
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"vae": [
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"$decode.vae",
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"*"
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],
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"strength": 0.8,
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"start_percent": 0.0,
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"end_percent": 0.8
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},
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"wire_to": "$sampler"
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}
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},
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"after": "run_workflow: the picture now takes that pose (strength 0.8, for the first 80% of the steps; lower either for a looser pose). The prompt still says who and what: change it if it fights the pose. If the picture came out ignoring the pose, OpenPose likely misread an anime picture: try control_depth.",
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"variants": {
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"anima": {
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"packs": {
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"OpenposePreprocessor": "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": "pose",
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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": "$image"
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}
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},
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"pose": {
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"class_type": "OpenposePreprocessor",
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"inputs": {
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"image": [
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"reference",
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0
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],
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"detect_hand": "enable",
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"detect_body": "enable",
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"detect_face": "enable",
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"resolution": 1024
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}
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},
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"steer": {
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"class_type": "AnimaLLLiteApply_sdscripts",
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"inputs": {
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"model": [
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"$sampler.model",
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"*"
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],
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"lllite_name": "$lllite",
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"image": [
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"pose",
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0
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],
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"strength": 1.0,
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"start_percent": 0.0,
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"end_percent": 1.0,
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"preserve_wrapper": true
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},
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"wire_to": "$sampler"
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}
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},
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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."
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}
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}
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}
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