Krea2_checkpoints / Moody Krea 2 Mix v3.0 FP8 - Krea2.json
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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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"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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"## 🇺🇸 Which model should I use?\n\n- **BF16** – Best image quality and maximum compatibility. **Requires ~26 GB+ VRAM.** Recommended if you have enough VRAM and want the highest possible quality.\n- **FP8** – Best all-around choice for **RTX 40-series and RTX 50-series**. Excellent balance of speed, VRAM usage, image quality, and compatibility. Recommended for most users.\n- **INT8** – Recommended for **RTX 30-series**. Lower VRAM usage than BF16 while maintaining very good image quality.\n- **NVFP4** – Designed for **RTX 50-series (Blackwell)** GPUs. Lowest VRAM usage and fastest on supported hardware, though some custom nodes may not fully support it yet.\n\n**Quick recommendation:**\n- RTX 30xx → **INT8**\n- RTX 40xx → **FP8**\n- RTX 50xx (Blackwell) → **NVFP4** (or **FP8** if you encounter compatibility issues)\n- Maximum quality → **BF16 (26 GB+ VRAM)**\n\n---\n\n## 🇨🇳 我该使用哪个模型?\n\n- **BF16** – 画质最佳、兼容性最好。**需要约 26 GB 以上显存。** 如果你的显存充足,并且追求最高画质,推荐使用。\n- **FP8** – **RTX 40 系列和 RTX 50 系列**的最佳全能选择。在速度、显存占用、画质和兼容性之间拥有最均衡的表现,也是大多数用户的推荐格式。\n- **INT8** – 推荐用于 **RTX 30 系列**。相比 BF16 占用更少显存,同时仍能保持非常不错的画质。\n- **NVFP4** – 专为 **RTX 50 系列(Blackwell)** 优化。显存占用最低,在支持的硬件上速度最快,但部分自定义节点目前可能尚未完全兼容。\n\n**快速推荐:**\n- RTX 30xx → **INT8**\n- RTX 40xx → **FP8**\n- RTX 50xx(Blackwell)→ **NVFP4**(若遇到兼容性问题可改用 **FP8**)\n- 追求最高画质 → **BF16(26 GB+ 显存)**"
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