工作流 /
图像 /
⚡ Krea 2 Turbo | Triple LoRA ComfyUI Workflow
⚡ Krea 2 Turbo | Triple LoRA ComfyUI Workflow
⚡ Krea 2 Turbo | Triple LoRA ComfyUI Workflow
🔗 Quick Links🌸 Browse My Krea 2 LoRA Collection🤖 Try the Free Telegram AI Generator⭐ Follow NovaAILabs⚡ Krea 2 Turbo Workflow — Uncensored⚡ Krea 2 Turbo Dual-LoRA Workflow💎 Premium Releases & Custom LoRA Commissions⚡…
图像
5 个节点 141 次使用 NovaAILabs 54 KB
需要的权重
这个工作流引用了 1 个权重文件，其中 0 个能在本站模型库里找到。
Krea2_Turbo_3LoRA_Workflow.json
模型库暂未收录
节点构成
MarkdownNote
× 1
ImageScaleBy
× 1
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× 1
ResolutionSelector
× 1
b0e5ca93-2731-42b9-8e0a-d28ea851ff81
× 1
官方标注的模型
krea2_turbo_fp8_scaled.safetensorskrea2_turbo_int8_convrot.safetensorsqwen3vl_4b_fp8_scaled.safetensorsqwen3vl_4b_uncensored_int8_convrot.safetensorsqwen_image_vae.safetensors
工作流 JSON
和上面「下载工作流 JSON」是同一份文件。
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26 "# ⚡ Krea 2 Turbo — Triple LoRA Workflow\n\n**Author:** NovaAILabs\n\nThis workflow runs **Krea 2 Turbo with up to 3 LoRAs at the same time**. Each LoRA has its own file selector, strength, trigger word and enable/disable switch.\n\nЭтот воркфлоу запускает **Krea 2 Turbo одновременно с тремя LoRA**. Для каждой LoRA предусмотрены отдельный выбор файла, сила, триггер и переключатель включения.\n\n---\n\n## ✨ Features / Возможности\n\n- Up to **3 LoRAs simultaneously** / До **3 LoRA одновременно**\n- Independent enable/disable controls / Независимое включение каждой LoRA\n- Individual strength for every LoRA / Отдельная сила для каждой LoRA\n- Individual trigger words / Отдельные триггеры\n- Optional prompt enhancement / Опциональное улучшение промта\n- Krea 2 Conditioning Rebalance\n- Built-in 2× image upscale / Встроенный апскейл изображения 2×\n\n---\n\n## ⚙️ How to use / Как использовать\n\n1. Enter your prompt in the **Prompt** field. \n Введите промт в поле **Prompt**.\n2. Select a file for **LoRA 1**, **LoRA 2** and/or **LoRA 3**. \n Выберите файлы для **LoRA 1**, **LoRA 2** и/или **LoRA 3**.\n3. Enter the correct trigger word for each LoRA. \n Укажите правильный триггер для каждой LoRA.\n4. Adjust each LoRA strength and enable only the slots you need. \n Настройте силу и включите только нужные слоты.\n5. Queue the workflow and generate. \n Запустите генерацию.\n\n**Suggested starting strengths / Рекомендуемая стартовая сила:**\n\n- 1 LoRA: `0.85–1.0`\n- 2 LoRAs: `0.70–0.90` each / каждая\n- 3 LoRAs: `0.55–0.80` each / каждая\n\nWhen mixing multiple character LoRAs, start with lower strengths to reduce identity conflicts. \nПри смешивании нескольких персонажных LoRA начинайте с меньшей силы, чтобы снизить конфликт идентичностей.\n\n---\n\n## 📦 Model Links / Ссылки на модели\n\n- **Krea 2 Turbo checkpoint:** `krea2_turbo_fp8_scaled.safetensors` \n [Download from Comfy-Org/Krea-2](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/diffusion_models/krea2_turbo_fp8_scaled.safetensors)\n\n- **Text encoder used in this workflow:** `qwen3vl_4b_uncensored_int8_convrot.safetensors` \n Community uncensored build — place it in `ComfyUI/models/text_encoders/`. \n Official alternative: [qwen3vl_4b_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/text_encoders/qwen3vl_4b_fp8_scaled.safetensors)\n\n- **VAE:** `qwen_image_vae.safetensors` \n [Download from Comfy-Org/Krea-2](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/vae/qwen_image_vae.safetensors)\n\n```\n📂 ComfyUI/\n└── 📂 models/\n ├── 📂 diffusion_models/\n │ └── krea2_turbo_fp8_scaled.safetensors\n ├── 📂 text_encoders/\n │ └── qwen3vl_4b_uncensored_int8_convrot.safetensors\n ├── 📂 vae/\n │ └── qwen_image_vae.safetensors\n └── 📂 loras/\n ├── your_lora_1.safetensors\n ├── your_lora_2.safetensors\n └── your_lora_3.safetensors\n```\n\n---\n\n## 🔗 NovaAILabs\n\n- 🌸 **LoRA Collection:** https://civitai.com/collections/17587706\n- ⭐ **Civitai Profile:** https://civitai.com/user/NovaAILabs\n- 💎 **Boosty — premium releases & custom LoRA commissions:** https://boosty.to/diexell\n- 🤖 **Free Telegram AI Generator:** [@drgirls_ai_bot](https://t.me/drgirls_ai_bot)\n- ⚙️ **Krea 2 Turbo Workflow — Uncensored:** https://civitai.com/models/2931118/krea-2-turbo-comfyui-workflow-uncensored\n- ⚙️ **Krea 2 Dual-LoRA Workflow:** https://civitai.com/models/2940587/krea-2-turbo-or-dual-lora-comfyui-workflow\n"
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29 "text": "# ⚡ Krea 2 Turbo — Triple LoRA Workflow\n\n**Author:** NovaAILabs\n\nThis workflow runs **Krea 2 Turbo with up to 3 LoRAs at the same time**. Each LoRA has its own file selector, strength, trigger word and enable/disable switch.\n\nЭтот воркфлоу запускает **Krea 2 Turbo одновременно с тремя LoRA**. Для каждой LoRA предусмотрены отдельный выбор файла, сила, триггер и переключатель включения.\n\n---\n\n## ✨ Features / Возможности\n\n- Up to **3 LoRAs simultaneously** / До **3 LoRA одновременно**\n- Independent enable/disable controls / Независимое включение каждой LoRA\n- Individual strength for every LoRA / Отдельная сила для каждой LoRA\n- Individual trigger words / Отдельные триггеры\n- Optional prompt enhancement / Опциональное улучшение промта\n- Krea 2 Conditioning Rebalance\n- Built-in 2× image upscale / Встроенный апскейл изображения 2×\n\n---\n\n## ⚙️ How to use / Как использовать\n\n1. Enter your prompt in the **Prompt** field. \n Введите промт в поле **Prompt**.\n2. Select a file for **LoRA 1**, **LoRA 2** and/or **LoRA 3**. \n Выберите файлы для **LoRA 1**, **LoRA 2** и/или **LoRA 3**.\n3. Enter the correct trigger word for each LoRA. \n Укажите правильный триггер для каждой LoRA.\n4. Adjust each LoRA strength and enable only the slots you need. \n Настройте силу и включите только нужные слоты.\n5. Queue the workflow and generate. \n Запустите генерацию.\n\n**Suggested starting strengths / Рекомендуемая стартовая сила:**\n\n- 1 LoRA: `0.85–1.0`\n- 2 LoRAs: `0.70–0.90` each / каждая\n- 3 LoRAs: `0.55–0.80` each / каждая\n\nWhen mixing multiple character LoRAs, start with lower strengths to reduce identity conflicts. \nПри смешивании нескольких персонажных LoRA начинайте с меньшей силы, чтобы снизить конфликт идентичностей.\n\n---\n\n## 📦 Model Links / Ссылки на модели\n\n- **Krea 2 Turbo checkpoint:** `krea2_turbo_fp8_scaled.safetensors` \n [Download from Comfy-Org/Krea-2](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/diffusion_models/krea2_turbo_fp8_scaled.safetensors)\n\n- **Text encoder used in this workflow:** `qwen3vl_4b_uncensored_int8_convrot.safetensors` \n Community uncensored build — place it in `ComfyUI/models/text_encoders/`. \n Official alternative: [qwen3vl_4b_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/text_encoders/qwen3vl_4b_fp8_scaled.safetensors)\n\n- **VAE:** `qwen_image_vae.safetensors` \n [Download from Comfy-Org/Krea-2](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/vae/qwen_image_vae.safetensors)\n\n```\n📂 ComfyUI/\n└── 📂 models/\n ├── 📂 diffusion_models/\n │ └── krea2_turbo_fp8_scaled.safetensors\n ├── 📂 text_encoders/\n │ └── qwen3vl_4b_uncensored_int8_convrot.safetensors\n ├── 📂 vae/\n │ └── qwen_image_vae.safetensors\n └── 📂 loras/\n ├── your_lora_1.safetensors\n ├── your_lora_2.safetensors\n └── your_lora_3.safetensors\n```\n\n---\n\n## 🔗 NovaAILabs\n\n- 🌸 **LoRA Collection:** https://civitai.com/collections/17587706\n- ⭐ **Civitai Profile:** https://civitai.com/user/NovaAILabs\n- 💎 **Boosty — premium releases & custom LoRA commissions:** https://boosty.to/diexell\n- 🤖 **Free Telegram AI Generator:** [@drgirls_ai_bot](https://t.me/drgirls_ai_bot)\n- ⚙️ **Krea 2 Turbo Workflow — Uncensored:** https://civitai.com/models/2931118/krea-2-turbo-comfyui-workflow-uncensored\n- ⚙️ **Krea 2 Dual-LoRA Workflow:** https://civitai.com/models/2940587/krea-2-turbo-or-dual-lora-comfyui-workflow\n"
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1549 "sampling_mode.top_p": 0.95,
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1551 "sampling_mode.repetition_penalty": 1.05,
1552 "sampling_mode.seed": 0,
1553 "sampling_mode.presence_penalty": 0,
1554 "thinking": false,
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1602 }
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1607 "name": "STRING",
1608 "type": "STRING",
1609 "links": [
1610 19
1611 ]
1612 }
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1616 "ver": "0.25.0",
1617 "Node name for S&R": "StringConcatenate"
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1621 "",
1622 ""
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1659 "type": "STRING",
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1661 21
1662 ]
1663 }
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1665 "title": "Text String (System Prompt)",
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1668 "ver": "0.25.0",
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1672 "You are an expert prompt engineer for text-to-image models. Your task is to expand the user's prompt into a highly effective image-generation prompt.\n\nThink step by step about the request before writing the answer:\n- What is the subject and mood?\n- What visual styles, mediums, and lighting options would fit? Consider two or three alternatives and pick the one that best serves the caption.\n- What composition, framing, and grounded details will help the text-to-image model?\n\nThen output a single expanded prompt paragraph.\n\nFollow these rules strictly:\n1. **Faithfulness First:** Preserve all original subjects, actions, colors, and spatial relationships. Do not add new objects, props, characters, or animals unless the user clearly implies them.\n2. **Practical T2I Structure:** Write a prompt that a text-to-image model can parse cleanly. Group subjects with their own attributes and actions. Use grounded phrasing for poses, interactions, and spatial layout.\n3. **Style Planning Stays Internal:** Use your internal reasoning to choose style, medium, framing, and lighting. Do not emit planning tags or wrappers in the visible answer body.\n4. **Text Rendering:** If the user requests visible text, quotes, labels, or typography, specify the exact text clearly and wrap requested words in quotes.\n5. **Avoid Over-Specification:** Do not invent highly specific clothing, colors, materials, or scene details unless the input supports them.\n6. **Structure:** Write one cohesive paragraph after the thinking block. No bullets, JSON, or markdown.\n7. **Respect Existing Detail:** If the user's prompt is already detailed, lightly polish and finalize rather than heavily expanding — preserve their phrasing and direction.\n8. **Respect the Human Form:** Treat depictions of people with dignity. Assume clothing covers genitals and intimate anatomy.\n9. **Preserve User Medium:** When the user explicitly requests a medium (e.g. \"photo of\", \"photograph of\", \"illustration of\", \"painting of\", \"sketch of\", \"3D render of\"), honor it. Do not pivot to a different medium to avoid difficulty — match the user's stated intent.\n\nUser's Input:\n\n"
1673 ],
1674 "widgets_values_named": {
1675 "value": "You are an expert prompt engineer for text-to-image models. Your task is to expand the user's prompt into a highly effective image-generation prompt.\n\nThink step by step about the request before writing the answer:\n- What is the subject and mood?\n- What visual styles, mediums, and lighting options would fit? Consider two or three alternatives and pick the one that best serves the caption.\n- What composition, framing, and grounded details will help the text-to-image model?\n\nThen output a single expanded prompt paragraph.\n\nFollow these rules strictly:\n1. **Faithfulness First:** Preserve all original subjects, actions, colors, and spatial relationships. Do not add new objects, props, characters, or animals unless the user clearly implies them.\n2. **Practical T2I Structure:** Write a prompt that a text-to-image model can parse cleanly. Group subjects with their own attributes and actions. Use grounded phrasing for poses, interactions, and spatial layout.\n3. **Style Planning Stays Internal:** Use your internal reasoning to choose style, medium, framing, and lighting. Do not emit planning tags or wrappers in the visible answer body.\n4. **Text Rendering:** If the user requests visible text, quotes, labels, or typography, specify the exact text clearly and wrap requested words in quotes.\n5. **Avoid Over-Specification:** Do not invent highly specific clothing, colors, materials, or scene details unless the input supports them.\n6. **Structure:** Write one cohesive paragraph after the thinking block. No bullets, JSON, or markdown.\n7. **Respect Existing Detail:** If the user's prompt is already detailed, lightly polish and finalize rather than heavily expanding — preserve their phrasing and direction.\n8. **Respect the Human Form:** Treat depictions of people with dignity. Assume clothing covers genitals and intimate anatomy.\n9. **Preserve User Medium:** When the user explicitly requests a medium (e.g. \"photo of\", \"photograph of\", \"illustration of\", \"painting of\", \"sketch of\", \"3D render of\"), honor it. Do not pivot to a different medium to avoid difficulty — match the user's stated intent.\n\nUser's Input:\n\n"
1676 }
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1696 "type": "STRING",
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1701 }
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1703 "outputs": [
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1706 "name": "STRING",
1707 "type": "STRING",
1708 "links": [
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1710 34
1711 ]
1712 }
1713 ],
1714 "title": "Text String (User Prompt)",
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1751 }
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1756 "name": "STRING",
1757 "type": "STRING",
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1761 ]
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1764 "properties": {
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1768 },
1769 "widgets_values": [],
1770 "widgets_values_named": []
1771 },
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1774 "type": "ComfySwitchNode",
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1777 1270
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1779 "size": [
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1781 130
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1783 "flags": [],
1784 "order": 14,
1785 "mode": 0,
1786 "inputs": [
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1788 "localized_name": "on_false",
1789 "name": "on_false",
1790 "shape": 7,
1791 "type": "STRING",
1792 "link": 34
1793 },
1794 {
1795 "localized_name": "on_true",
1796 "name": "on_true",
1797 "shape": 7,
1798 "type": "STRING",
1799 "link": 33
1800 },
1801 {
1802 "localized_name": "switch",
1803 "name": "switch",
1804 "type": "BOOLEAN",
1805 "widget": {
1806 "name": "switch"
1807 },
1808 "link": 32
1809 }
1810 ],
1811 "outputs": [
1812 {
1813 "localized_name": "output",
1814 "name": "output",
1815 "type": "STRING",
1816 "links": [
1817 27
1818 ]
1819 }
1820 ],
1821 "properties": {
1822 "cnr_id": "comfy-core",
1823 "ver": "0.25.0",
1824 "Node name for S&R": "ComfySwitchNode"
1825 },
1826 "widgets_values": [
1827 false
1828 ],
1829 "widgets_values_named": {
1830 "switch": false
1831 }
1832 },
1833 {
1834 "id": 22,
1835 "type": "ComfySwitchNode",
1836 "pos": [
1837 640,
1838 -270
1839 ],
1840 "size": [
1841 320,
1842 130
1843 ],
1844 "flags": [],
1845 "order": 15,
1846 "mode": 0,
1847 "inputs": [
1848 {
1849 "localized_name": "on_false",
1850 "name": "on_false",
1851 "shape": 7,
1852 "type": "MODEL",
1853 "link": 89
1854 },
1855 {
1856 "localized_name": "on_true",
1857 "name": "on_true",
1858 "shape": 7,
1859 "type": "MODEL",
1860 "link": 29
1861 },
1862 {
1863 "localized_name": "switch",
1864 "name": "switch",
1865 "type": "BOOLEAN",
1866 "widget": {
1867 "name": "switch"
1868 },
1869 "link": 90
1870 }
1871 ],
1872 "outputs": [
1873 {
1874 "localized_name": "output",
1875 "name": "output",
1876 "type": "MODEL",
1877 "links": [
1878 30,
1879 96
1880 ]
1881 }
1882 ],
1883 "title": "Switch (LoRA 1 Model)",
1884 "properties": {
1885 "cnr_id": "comfy-core",
1886 "ver": "0.25.0",
1887 "Node name for S&R": "ComfySwitchNode"
1888 },
1889 "widgets_values": [
1890 false
1891 ],
1892 "widgets_values_named": {
1893 "switch": false
1894 }
1895 },
1896 {
1897 "id": 23,
1898 "type": "PrimitiveBoolean",
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1901 670
1902 ],
1903 "size": [
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1905 110
1906 ],
1907 "flags": [],
1908 "order": 16,
1909 "mode": 0,
1910 "inputs": [
1911 {
1912 "localized_name": "value",
1913 "name": "value",
1914 "type": "BOOLEAN",
1915 "widget": {
1916 "name": "value"
1917 },
1918 "link": 57
1919 }
1920 ],
1921 "outputs": [
1922 {
1923 "localized_name": "BOOLEAN",
1924 "name": "BOOLEAN",
1925 "type": "BOOLEAN",
1926 "links": [
1927 31,
1928 42
1929 ]
1930 }
1931 ],
1932 "title": "Boolean (Enable LoRA 1?)",
1933 "properties": {
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1935 "ver": "0.25.0",
1936 "Node name for S&R": "PrimitiveBoolean"
1937 },
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1943 }
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1950 840
1951 ],
1952 "size": [
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1954 110
1955 ],
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1957 "order": 17,
1958 "mode": 0,
1959 "inputs": [
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1962 "name": "value",
1963 "type": "BOOLEAN",
1964 "widget": {
1965 "name": "value"
1966 },
1967 "link": 46
1968 }
1969 ],
1970 "outputs": [
1971 {
1972 "localized_name": "BOOLEAN",
1973 "name": "BOOLEAN",
1974 "type": "BOOLEAN",
1975 "links": [
1976 32
1977 ]
1978 }
1979 ],
1980 "title": "Boolean (Refine Prompt?)",
1981 "properties": {
1982 "cnr_id": "comfy-core",
1983 "ver": "0.25.0",
1984 "Node name for S&R": "PrimitiveBoolean"
1985 },
1986 "widgets_values": [
1987 false
1988 ],
1989 "widgets_values_named": {
1990 "value": false
1991 }
1992 },
1993 {
1994 "id": 27,
1995 "type": "StringConcatenate",
1996 "pos": [
1997 1030,
1998 960
1999 ],
2000 "size": [
2001 350,
2002 250
2003 ],
2004 "flags": {
2005 "collapsed": false
2006 },
2007 "order": 18,
2008 "mode": 0,
2009 "inputs": [
2010 {
2011 "localized_name": "string_a",
2012 "name": "string_a",
2013 "type": "STRING",
2014 "widget": {
2015 "name": "string_a"
2016 },
2017 "link": 41
2018 },
2019 {
2020 "localized_name": "string_b",
2021 "name": "string_b",
2022 "type": "STRING",
2023 "widget": {
2024 "name": "string_b"
2025 },
2026 "link": 60
2027 },
2028 {
2029 "localized_name": "delimiter",
2030 "name": "delimiter",
2031 "type": "STRING",
2032 "widget": {
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2036 }
2037 ],
2038 "outputs": [
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2040 "localized_name": "STRING",
2041 "name": "STRING",
2042 "type": "STRING",
2043 "links": [
2044 84
2045 ]
2046 }
2047 ],
2048 "title": "Concatenate Text (LoRA Trigger Word)",
2049 "properties": {
2050 "cnr_id": "comfy-core",
2051 "ver": "0.25.0",
2052 "Node name for S&R": "StringConcatenate"
2053 },
2054 "widgets_values": [
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2056 "",
2057 ", "
2058 ],
2059 "widgets_values_named": {
2060 "string_a": "",
2061 "string_b": "",
2062 "delimiter": ", "
2063 }
2064 },
2065 {
2066 "id": 28,
2067 "type": "ComfySwitchNode",
2068 "pos": [
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2070 670
2071 ],
2072 "size": [
2073 340,
2074 130
2075 ],
2076 "flags": [],
2077 "order": 19,
2078 "mode": 0,
2079 "inputs": [
2080 {
2081 "localized_name": "on_false",
2082 "name": "on_false",
2083 "shape": 7,
2084 "type": "STRING",
2085 "link": 37
2086 },
2087 {
2088 "localized_name": "on_true",
2089 "name": "on_true",
2090 "shape": 7,
2091 "type": "STRING",
2092 "link": 84
2093 },
2094 {
2095 "localized_name": "switch",
2096 "name": "switch",
2097 "type": "BOOLEAN",
2098 "widget": {
2099 "name": "switch"
2100 },
2101 "link": 42
2102 }
2103 ],
2104 "outputs": [
2105 {
2106 "localized_name": "output",
2107 "name": "output",
2108 "type": "STRING",
2109 "links": [
2110 92,
2111 95
2112 ]
2113 }
2114 ],
2115 "properties": {
2116 "cnr_id": "comfy-core",
2117 "ver": "0.25.0",
2118 "Node name for S&R": "ComfySwitchNode"
2119 },
2120 "widgets_values": [
2121 false
2122 ],
2123 "widgets_values_named": {
2124 "switch": false
2125 },
2126 "title": "Switch (LoRA 1 Trigger)"
2127 },
2128 {
2129 "id": 52,
2130 "type": "ConditioningKrea2Rebalance",
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2145 "name": "conditioning",
2146 "type": "CONDITIONING",
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2148 },
2149 {
2150 "localized_name": "multiplier",
2151 "name": "multiplier",
2152 "type": "FLOAT",
2153 "widget": {
2154 "name": "multiplier"
2155 },
2156 "link": null
2157 },
2158 {
2159 "localized_name": "per_layer_weights",
2160 "name": "per_layer_weights",
2161 "type": "STRING",
2162 "widget": {
2163 "name": "per_layer_weights"
2164 },
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2166 }
2167 ],
2168 "outputs": [
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2171 "name": "conditioning",
2172 "type": "CONDITIONING",
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2175 ]
2176 }
2177 ],
2178 "properties": {
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2180 "ver": "1.5.0",
2181 "Node name for S&R": "ConditioningKrea2Rebalance"
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2186 ],
2187 "widgets_values_named": {
2188 "multiplier": 4,
2189 "per_layer_weights": 1
2190 }
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2192 {
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2194 "type": "LoraLoaderModelOnly",
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2202 ],
2203 "flags": [],
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2205 "mode": 0,
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2207 {
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2209 "name": "model",
2210 "type": "MODEL",
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2212 },
2213 {
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2216 "type": "COMBO",
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2218 "name": "lora_name"
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2235 "name": "MODEL",
2236 "type": "MODEL",
2237 "links": [
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2239 ]
2240 }
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2247 "models": []
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2260 "type": "StringConcatenate",
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2306 "name": "STRING",
2307 "type": "STRING",
2308 "links": [
2309 93
2310 ]
2311 }
2312 ],
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2362 },
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2365 "name": "latent_image",
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2368 },
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2377 },
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