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| "This sections adds details to skin to get a more realistic feeling. Good for super realistic character images generation.\n\n欧美或者写实风可考虑打开。平时不推荐。" |
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| "To address the issue many of you are facing—where using character LoRAs directly leads to poor results—here’s the approach I personally use in my workflow.\nI generate the base image without loading any character LoRAs, and instead describe the character in detail within the positive prompts.\nAfter the image is generated, I apply a face detailer workflow at the final stage to effectively “face-swap” using the character LoRA you want.\nMake sure to adjust the prompts inside the detailer flow so they match the overall image; otherwise, you may end up with a generic default face from the LoRA." |
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| "针对很多人在直接使用角色 LoRA 时容易出现效果不佳的问题,这里分享一下我个人在创作中的解决思路。\n我会先在不加载任何角色 LoRA 的情况下生成基础图像,而是通过正向提示词对角色进行尽可能详细的描述。\n在生成完成的最后阶段,我再加入一个面部细化(Face Detailer)流程,用来将你想使用的角色 LoRA 进行“换脸”。\n\n需要注意的是,细化流程中的提示词一定要根据整体画面进行调整,否则很容易得到 LoRA 自带的默认脸型效果。" |
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| "Chnage denoise up to 0.54, the higher denoise is the more likely it follows the prompt and your character LoRA.\n可以吧denoise(降噪)最高提升到0.54来加强LoRA和提示词的影响力" |
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| "click run on this node below to load the image first then you can draw mask.\n先运行下面这个节点,然后涂抹区域。\n👇" |
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| "You can run Preview Image node on the left to preview see the image before SD upscale. Change up the seed until you find the best generation.\n\nChange Prompt/Lora/Seed, preview, no defects? run full workflow. \n\nIn 1st Generation you should be looking at the\n - composition\n - major defects/pose anormalies (small defects will likely be fixed in 2nd generation)\n\nIn 2nd Generation, you should be looking at the fine details\n - fingers/toes\n - facial expression\n - text\n - any other small details\n\n\n\n\n你可以运行左边的 Preview Image 节点,在进行 SD 放大之前先预览图像。随机新种子来抽卡。\n\n修改 Prompt / Lora,进行预览,如果没有明显缺陷,再运行完整工作流。\n\n在第一轮生成中,你应该重点关注:\n- 构图\n- 主要缺陷 / 姿势异常(小缺陷通常可以在第二轮生成中修复)\n\n\n在第二轮生成中,你应该重点关注细节:\n- 手指 / 脚趾\n- 面部表情\n- 文字\n- 其他任何细小的细节\n\n←\n\n\n" |
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| "This table is used as a starting reference for image generation resolution settings.\n\nIt helps you quickly choose safe, model-friendly starting dimensions without breaking compatibility or wasting VRAM.\n\n这个表格用于作为 图像生成分辨率设置的起始参考。\n它可以帮助你快速选择 安全、兼容模型的初始分辨率,避免报错或浪费显存。\n<br />\n\n---\n<br />\n\n| Aspect Ratio / 画面比例 | Notes (EN / CN) / 备注(英文 / 中文) | Base Resolution (W × H) / 基础分辨率 | Final Resolution (W × H) / 最终分辨率 (×1.9 × 1.8) | Final Total Pixels / 最终总像素 |\n|-------------------|-----------------------------|-------------------------------|-----------------------------------------|--------------------------:|\n| 2:3 | Base portrait / 基础竖图 | 640 × 960 | 2189 × 3283 | 7,184,687 |\n| 3:4 | Stable portrait / 稳定竖图 | 672 × 896 | 2298 × 3064 | 7,041,072 |\n| 9:16 | Tall mobile / 手机竖屏长图 | 576 × 1024 | 1970 × 3502 | 6,898,940 |\n| 3:2 | Base landscape / 横图基准 | 960 × 640 | 3283 × 2189 | 7,184,687 |\n| 4:3 | Balanced landscape / 平衡横图 | 896 × 672 | 3064 × 2298 | 7,041,072 |\n| 16:9 | Widescreen / 宽屏视频 | 1024 × 576 | 3502 × 1970 | 6,898,940 |\n| 1:1 | Square format / 正方形 | 768 × 768 | 2627 × 2627 | 6,901,129 |\n" |
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| "Guide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\n\n## Model Links (for Local Users)\n\n\n**diffusion_models**\n\n- [moody_krea_mix.safetensors](https://civitai.red/models/2731187/moody-krea-2-mix-uncensored)\n\n**text_encoders**\n\n- [qwen3vl_4b_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/text_encoders/qwen3vl_4b_fp8_scaled.safetensors)\n\n**vae**\n\n- [qwen_image_vae.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/vae/qwen_image_vae.safetensors)\n\n**loras**\n\n- [krea2_warmpastel.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/loras/krea2_warmpastel.safetensors)\n\n\n## Model Storage Location\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│ ├── 📂 diffusion_models/\n│ │ └── moody_krea_mix.safetensors\n│ ├── 📂 text_encoders/\n│ │ └── qwen3vl_4b_fp8_scaled.safetensors\n│ ├── 📂 vae/\n│ │ └── qwen_image_vae.safetensors\n│ └── 📂 loras/\n│ │ └── krea2_warmpastel.safetensors\n│ └── 📂 upscale_models/\n│ └── 4x ClearRealityV1.pth\n\n\n```\n\n## 🔍 Upscaler Models / 放大模型\n\n### 🔸 4xNomosWebPhoto_RealPLKSR (Recommended - balanced choice,推荐,更均衡)\n- **File:** `4xNomosWebPhoto_RealPLKSR.safetensors` \n [https://github.com/Phhofm/models/releases/tag/4xNomosWebPhoto_RealPLKSR](https://github.com/Phhofm/models/releases/download/4xNomosWebPhoto_RealPLKSR/4xNomosWebPhoto_RealPLKSR.pth)\n\n---\n\n### 🔸 4x ClearRealityV1 (Recommended,推荐,轻量均衡 - light weight and blanced)\n- **File:** `4x ClearRealityV1.pth` \n[https://openmodeldb.info/models/4x-ClearRealityV1](https://openmodeldb.info/models/4x-ClearRealityV1)\n\n---\n\n### 🔸 4xNomos8k_atd_jpg (Recommended,推荐 - 好,但是慢)\n- **File:** `4xNomos8k_atd_jpg.safetensors` \n [https://github.com/Phhofm/models/releases/download/4xNomos8k_atd_jpg/4xNomos8k_atd_jpg.safetensors](https://github.com/Phhofm/models/releases/download/4xNomos8k_atd_jpg/4xNomos8k_atd_jpg.safetensors)\n\n---\n\n### 🔸 4x UltraSharp\n- **Model:** `4xUltraSharp` \n [https://openmodeldb.info/models/4x-UltraSharp](https://openmodeldb.info/models/4x-UltraSharp)\n\n---\n\n### 🔸 1x SkinContrast (Skin Enhancement)\n- **Model:** `1xSkinContrast-SuperUltraCompact` \n [https://openmodeldb.info/models/1x-SkinContrast-SuperUltraCompact](https://openmodeldb.info/models/1x-SkinContrast-SuperUltraCompact)\n\n---" |
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