The panel's text for each of the 18 blocks (about, zh and en) is one short sentence; where it came from and how it was tried stay under Details, the AI's instructions (after, notes) unchanged. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
94 lines
2.1 KiB
JSON
94 lines
2.1 KiB
JSON
{
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"job": "repaint",
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"want": "best",
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"rank": 2,
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"short": "best blend, slow",
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"title": {
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"zh": "局部重绘·LanPaint",
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"en": "Repaint: LanPaint"
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},
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"about": {
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"zh": "换成 LanPaint 的采样器,边缘融合最好,但慢。",
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"en": "LanPaint's sampler: the best blend at the edges, but slow."
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},
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"source": {
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"zh": "节点包 LanPaint 自带的 SDXL 示例",
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"en": "LanPaint's own SDXL example"
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},
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"packs": {
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"LanPaint_KSampler": "LanPaint",
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"LanPaint_ImageEncode": "LanPaint",
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"LanPaint_ImageDecode": "LanPaint"
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},
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"instead": "inpaint_crop_stitch",
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"takes": "inpaint",
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"nodes": {
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"picture": {
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"class_type": "LoadImage",
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"inputs": {
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"image": "$image"
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}
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},
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"encode": {
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"class_type": "LanPaint_ImageEncode",
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"inputs": {
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"image": [
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"picture",
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0
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],
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"vae": [
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"$decode.vae",
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"*"
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],
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"mask": [
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"picture",
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1
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]
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}
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},
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"sampler": {
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"class_type": "LanPaint_KSampler",
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"replaces": "$sampler",
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"inputs": {
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"latent_image": [
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"encode",
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0
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],
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"denoise": 1.0
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}
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},
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"decode": {
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"class_type": "LanPaint_ImageDecode",
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"replaces": "$decode",
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"inputs": {
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"samples": [
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"sampler",
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0
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],
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"image": [
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"picture",
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0
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],
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"mask": [
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"picture",
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1
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]
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}
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}
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},
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"after": "The KSampler is now LanPaint's (same steps, cfg and seed): it samples the whole picture and changes only the area, blending it in. Keep the prompt about the whole picture and add what the area should show (set_prompt mode append: \"a hand, five fingers\"). Then run_workflow; it takes a few times longer than before.",
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"models": [],
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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": "SDXL (Illustrious)",
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"size": "832×1216",
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"seconds": 82
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}
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]
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}
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}
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