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Lonecat’s Simple Speed Boost 🚀 Workflows | 简易加速工作流 (MiniMax H3, Krea 2, Qwen 2.1, ZIT, Klein_9b, Illustrious, Flux, Wan2.2, Qwen Image Edit)
Lonecat’s Simple Speed Boost 🚀 Workflows | 简易加速工作流 (MiniMax H3, Krea 2, Qwen 2.1, ZIT, Klein_9b, Illustrious, Flux, Wan2.2, Qwen Image Edit)
Lonecat’s Simple Speed Boost 🚀 Workflows | 简易加速工作流 (MiniMax H3, Krea 2, Qwen 2.1, ZIT, Klein_9b, Illustrious, Flux, Wan2.2, Qwen Image Edit)
I've been told numerous times that a lot of the workflows that I put out there are complex and intimidating. I wanted to put something out there that was easy to use and understand, but without sacrificing the quality an…
视频
61 个节点 31,720 次使用 lonecatone23 118 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。
Lonecat's Simple MiniMax H3 V2.1.json
模型库暂未收录
节点构成
LCNote
× 6
LCLabel
× 4
ComfyMathExpression
× 3
LCVRAMCacheClear
× 3
DF_Text
× 2
LoadImage
× 2
LCAnySwitch
× 2
Fast Groups Bypasser (rgthree)
× 2
mxSlider
× 2
Float
× 1
JoinStrings
× 1
VAEDecodeAudio
× 1
VAEDecode
× 1
VHS_PruneOutputs
× 1
PreviewImage
× 1
LCComboSelector
× 1
官方标注的模型
10Eros_Max_h3_TURBO-hybrid_beta5_int8.safetensorsminimax_h3_fl2v_turbo_8step_v1.0_comfyui_bf16.safetensorsrife426.pth
工作流 JSON
和上面「下载工作流 JSON」是同一份文件。
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44 "title": "Base Frame Rate",
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165 "name": "STRING",
166 "type": "STRING",
167 "links": [
168 464
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212 "link": 403
213 },
214 {
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218 "link": 619
219 }
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224 "name": "AUDIO",
225 "type": "AUDIO",
226 "links": [
227 550
228 ]
229 }
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265 "link": 406
266 },
267 {
268 "localized_name": "vae",
269 "name": "vae",
270 "type": "VAE",
271 "link": 618
272 }
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277 "name": "IMAGE",
278 "type": "IMAGE",
279 "links": [
280 410
281 ]
282 }
283 ],
284 "title": "VAE Decode Video",
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289 "ue_properties": {
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291 "version": "7.8",
292 "input_ue_unconnectable": []
293 }
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298 {
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318 "type": "VHS_FILENAMES",
319 "link": 416
320 },
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323 "name": "options",
324 "type": "COMBO",
325 "widget": {
326 "name": "options"
327 },
328 "link": null
329 }
330 ],
331 "outputs": [],
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334 "ver": "4ee72c065db22c9d96c2427954dc69e7b908444b",
335 "Node name for S&R": "VHS_PruneOutputs",
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342 "widgets_values": {
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368 "name": "image",
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370 "widget": {
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375 {
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377 "name": "upload",
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379 "widget": {
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381 },
382 "link": null
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385 "outputs": [
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388 "name": "IMAGE",
389 "type": "IMAGE",
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393 },
394 {
395 "localized_name": "MASK",
396 "name": "MASK",
397 "type": "MASK",
398 "links": []
399 }
400 ],
401 "title": "Load Image 2 🖼️",
402 "properties": {
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406 "ue_properties": {
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492 },
493 "zh": {
494 "text": "## 📐 纵横比简化器使用说明\n\n- **Max_resolution** 决定整体分辨率的大小。💡 设置较低可加快生成速度 \n- **aspect ratio**：设置自定义值或使用预设 \n- **swap dimensions**：将分辨率翻转（旋转90度）",
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888 "text": "---\n\n@[card: Follow me](https://civitai.com/user/lonecatone23)\n\n@[card: Follow me](https://www.instagram.com/synth.studio.models/)\n\n@[card: Get my stuff here](https://github.com/lonecatone23)\n\n@[card: Get my models here](https://huggingface.co/Lonecatone23)\n\n\n@[card: Buy me a ☕](https://ko-fi.com/lonecatone)\n\n### This is many hours of work. If you enjoy it, please 👍 like, 💬 comment, and feel free to ⚡ tip 😉\n\n---\n\n**General Notes** \n### 🛑 Do not manually bypass any nodes. Dedicated switches are provided for all controls.\n\n## Model Links\n- [🤗 Comfy-Org/MiniMax-H3](https://huggingface.co/Comfy-Org/MiniMax-H3)\n\n**Diffusion Models** \n\n\n- [Minimax_H3_INT4MixedConvRot/tree/main](https://huggingface.co/tsolful/Minimax_H3_INT4MixedConvRot/tree/main )\n\n**Text Encoders** \n\n - [qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/text_encoders/qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors) \n - [Qwen3-VL-32B-Instruct-abliterated-v1-i1-GGUF/tree/main](https://huggingface.co/mradermacher/Qwen3-VL-32B-Instruct-abliterated-v1-i1-GGUF/tree/main)\n\n\n**VAE** \n\n- video:\n - [minimax_h3_video_vae_fp16.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/vae/minimax_h3_video_vae_fp16.safetensors) \n\n - [minimax_h3_video_vae_int8_convrot.safetensors](https://huggingface.co/Kijai/MiniMax-H3-experimental/resolve/main/minimax_h3_video_vae_int8_convrot.safetensors?download=true)\n\n- Audio: \n - [minimax_h3_audio_vae_fp32.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/vae/minimax_h3_audio_vae_fp32.safetensors)\n\n\n**Turbo LORA**\n\n- [minimax_h3_turbo_4step_ckpt500.safetensors](https://huggingface.co/larryvrh/MiniMax-H3-Turbo-Lora/resolve/main/minimax_h3_turbo_4step_ckpt500.safetensors?download=true)\n\n## Model Storage Locations\n```\n📂 ComfyUI/\n├── 📂 models/\n│ ├── 📂 diffusion_models/\n│ │ └── All base model versions\n│ │ └── All int8_convrot versions\n│ ├── 📂 unet/\n│ │ └── All GGUF diffusion versions\n│ ├── 📂 text_encoders/\n│ │ └── All text encoders (including GGUF versions)\n│ └── 📂 vae/\n│ ├── minimax_h3_video_vae_fp16.safetensors\n│ └── minimax_h3_audio_vae_fp32.safetensors\n```"
889 },
890 "zh": {
891 "text": "---\n\n@[card: 关注我](https://civitai.com/user/lonecatone23)\n\n@[card: 关注我](https://www.instagram.com/synth.studio.models/)\n\n@[card: 在这里获取我的作品](https://github.com/lonecatone23)\n\n@[card: 在这里获取我的模型](https://huggingface.co/Lonecatone23)\n\n\n@[card: 请我喝杯 ☕](https://ko-fi.com/lonecatone)\n\n### 这是花了许多小时做出来的。如果你喜欢，请 👍 点赞、💬 评论，也欢迎 ⚡ 打赏 😉\n\n---\n\n**总体说明**\n### 🛑 不要手动 bypass 任何节点。所有控制都提供了专用开关。\n\n## 模型链接\n- [🤗 Comfy-Org/MiniMax-H3](https://huggingface.co/Comfy-Org/MiniMax-H3)\n\n**Diffusion 模型**\n\n\n- [Minimax_H3_INT4MixedConvRot/tree/main](https://huggingface.co/tsolful/Minimax_H3_INT4MixedConvRot/tree/main )\n\n**Text Encoders**\n\n - [qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/text_encoders/qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors)\n - [Qwen3-VL-32B-Instruct-abliterated-v1-i1-GGUF/tree/main](https://huggingface.co/mradermacher/Qwen3-VL-32B-Instruct-abliterated-v1-i1-GGUF/tree/main)\n\n\n**VAE**\n\n- 视频：\n - [minimax_h3_video_vae_fp16.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/vae/minimax_h3_video_vae_fp16.safetensors)\n\n - [minimax_h3_video_vae_int8_convrot.safetensors](https://huggingface.co/Kijai/MiniMax-H3-experimental/resolve/main/minimax_h3_video_vae_int8_convrot.safetensors?download=true)\n\n- 音频：\n - [minimax_h3_audio_vae_fp32.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/vae/minimax_h3_audio_vae_fp32.safetensors)\n\n\n**Turbo LORA**\n\n- [minimax_h3_turbo_4step_ckpt500.safetensors](https://huggingface.co/larryvrh/MiniMax-H3-Turbo-Lora/resolve/main/minimax_h3_turbo_4step_ckpt500.safetensors?download=true)\n\n## 模型存放位置\n```\n📂 ComfyUI/\n├── 📂 models/\n│ ├── 📂 diffusion_models/\n│ │ └── All base model versions\n│ │ └── All int8_convrot versions\n│ ├── 📂 unet/\n│ │ └── All GGUF diffusion versions\n│ ├── 📂 text_encoders/\n│ │ └── All text encoders (including GGUF versions)\n│ └── 📂 vae/\n│ ├── minimax_h3_video_vae_fp16.safetensors\n│ └── minimax_h3_audio_vae_fp32.safetensors\n```\n",
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906 "---\n\n@[card: Follow me](https://civitai.com/user/lonecatone23)\n\n@[card: Follow me](https://www.instagram.com/synth.studio.models/)\n\n@[card: Get my stuff here](https://github.com/lonecatone23)\n\n@[card: Get my models here](https://huggingface.co/Lonecatone23)\n\n\n@[card: Buy me a ☕](https://ko-fi.com/lonecatone)\n\n### This is many hours of work. If you enjoy it, please 👍 like, 💬 comment, and feel free to ⚡ tip 😉\n\n---\n\n**General Notes** \n### 🛑 Do not manually bypass any nodes. Dedicated switches are provided for all controls.\n\n## Model Links\n- [🤗 Comfy-Org/MiniMax-H3](https://huggingface.co/Comfy-Org/MiniMax-H3)\n\n**Diffusion Models** \n\n\n- [Minimax_H3_INT4MixedConvRot/tree/main](https://huggingface.co/tsolful/Minimax_H3_INT4MixedConvRot/tree/main )\n\n**Text Encoders** \n\n - [qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/text_encoders/qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors) \n - [Qwen3-VL-32B-Instruct-abliterated-v1-i1-GGUF/tree/main](https://huggingface.co/mradermacher/Qwen3-VL-32B-Instruct-abliterated-v1-i1-GGUF/tree/main)\n\n\n**VAE** \n\n- video:\n - [minimax_h3_video_vae_fp16.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/vae/minimax_h3_video_vae_fp16.safetensors) \n\n - [minimax_h3_video_vae_int8_convrot.safetensors](https://huggingface.co/Kijai/MiniMax-H3-experimental/resolve/main/minimax_h3_video_vae_int8_convrot.safetensors?download=true)\n\n- Audio: \n - [minimax_h3_audio_vae_fp32.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/vae/minimax_h3_audio_vae_fp32.safetensors)\n\n\n**Turbo LORA**\n\n- [minimax_h3_turbo_4step_ckpt500.safetensors](https://huggingface.co/larryvrh/MiniMax-H3-Turbo-Lora/resolve/main/minimax_h3_turbo_4step_ckpt500.safetensors?download=true)\n\n## Model Storage Locations\n```\n📂 ComfyUI/\n├── 📂 models/\n│ ├── 📂 diffusion_models/\n│ │ └── All base model versions\n│ │ └── All int8_convrot versions\n│ ├── 📂 unet/\n│ │ └── All GGUF diffusion versions\n│ ├── 📂 text_encoders/\n│ │ └── All text encoders (including GGUF versions)\n│ └── 📂 vae/\n│ ├── minimax_h3_video_vae_fp16.safetensors\n│ └── minimax_h3_audio_vae_fp32.safetensors\n```"
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908 "widgets_values_named": {
909 "language": "English ✏️",
910 "text": "---\n\n@[card: Follow me](https://civitai.com/user/lonecatone23)\n\n@[card: Follow me](https://www.instagram.com/synth.studio.models/)\n\n@[card: Get my stuff here](https://github.com/lonecatone23)\n\n@[card: Get my models here](https://huggingface.co/Lonecatone23)\n\n\n@[card: Buy me a ☕](https://ko-fi.com/lonecatone)\n\n### This is many hours of work. If you enjoy it, please 👍 like, 💬 comment, and feel free to ⚡ tip 😉\n\n---\n\n**General Notes** \n### 🛑 Do not manually bypass any nodes. Dedicated switches are provided for all controls.\n\n## Model Links\n- [🤗 Comfy-Org/MiniMax-H3](https://huggingface.co/Comfy-Org/MiniMax-H3)\n\n**Diffusion Models** \n\n\n- [Minimax_H3_INT4MixedConvRot/tree/main](https://huggingface.co/tsolful/Minimax_H3_INT4MixedConvRot/tree/main )\n\n**Text Encoders** \n\n - [qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/text_encoders/qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors) \n - [Qwen3-VL-32B-Instruct-abliterated-v1-i1-GGUF/tree/main](https://huggingface.co/mradermacher/Qwen3-VL-32B-Instruct-abliterated-v1-i1-GGUF/tree/main)\n\n\n**VAE** \n\n- video:\n - [minimax_h3_video_vae_fp16.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/vae/minimax_h3_video_vae_fp16.safetensors) \n\n - [minimax_h3_video_vae_int8_convrot.safetensors](https://huggingface.co/Kijai/MiniMax-H3-experimental/resolve/main/minimax_h3_video_vae_int8_convrot.safetensors?download=true)\n\n- Audio: \n - [minimax_h3_audio_vae_fp32.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/vae/minimax_h3_audio_vae_fp32.safetensors)\n\n\n**Turbo LORA**\n\n- [minimax_h3_turbo_4step_ckpt500.safetensors](https://huggingface.co/larryvrh/MiniMax-H3-Turbo-Lora/resolve/main/minimax_h3_turbo_4step_ckpt500.safetensors?download=true)\n\n## Model Storage Locations\n```\n📂 ComfyUI/\n├── 📂 models/\n│ ├── 📂 diffusion_models/\n│ │ └── All base model versions\n│ │ └── All int8_convrot versions\n│ ├── 📂 unet/\n│ │ └── All GGUF diffusion versions\n│ ├── 📂 text_encoders/\n│ │ └── All text encoders (including GGUF versions)\n│ └── 📂 vae/\n│ ├── minimax_h3_video_vae_fp16.safetensors\n│ └── minimax_h3_audio_vae_fp32.safetensors\n```"
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1781 "properties": {
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1783 "source": "en",
1784 "texts": {
1785 "en": {
1786 "text": "## 🎨 Post Processing\n\n**Rife VFI Interpolation**\n- doubles the frame rate from 24 to 48 for smoother videos\n- use rife49.pth\n- It takes a minute and just sits there, so be patient\n- if yo are having issues, change the dtype or lower the clear cache to 5\n\n**RTX Super Resolution**\n- Increases the resolution\n- I typically leave it at 2.00 and **Ultra**\n\n**Video Combine**\n- h265\n- yuv420p\n- crf = 19"
1787 },
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1789 "text": "## 🎨 后期处理 \n**Rife VFI 插帧** \n- 将帧率从 24 翻倍至 48，使视频更流畅 \n- 使用 rife49.pth \n- 大概需要一分钟，看起来像卡住不动，请耐心等待 \n- 如果遇到问题，请更改 dtype 或将 clear cache 降低至 5 \n\n**RTX 超级分辨率** \n- 提高分辨率 \n- 我通常保持在 2.00 和 **Ultra** \n\n**Video Combine** \n- h265 \n- yuv420p \n- crf = 19",
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1791 "srcTitle": "🎨 Post Processing"
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1800 "version": "7.8",
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1805 "English ✏️",
1806 "## 🎨 Post Processing\n\n**Rife VFI Interpolation**\n- doubles the frame rate from 24 to 48 for smoother videos\n- use rife49.pth\n- It takes a minute and just sits there, so be patient\n- if yo are having issues, change the dtype or lower the clear cache to 5\n\n**RTX Super Resolution**\n- Increases the resolution\n- I typically leave it at 2.00 and **Ultra**\n\n**Video Combine**\n- h265\n- yuv420p\n- crf = 19"
1807 ],
1808 "widgets_values_named": {
1809 "language": "English ✏️",
1810 "text": "## 🎨 Post Processing\n\n**Rife VFI Interpolation**\n- doubles the frame rate from 24 to 48 for smoother videos\n- use rife49.pth\n- It takes a minute and just sits there, so be patient\n- if yo are having issues, change the dtype or lower the clear cache to 5\n\n**RTX Super Resolution**\n- Increases the resolution\n- I typically leave it at 2.00 and **Ultra**\n\n**Video Combine**\n- h265\n- yuv420p\n- crf = 19"
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1996 },
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2026 "inputs": [],
2027 "outputs": [],
2028 "title": "Workflow Instructions",
2029 "properties": {
2030 "lc_note": {
2031 "source": "en",
2032 "texts": {
2033 "en": {
2034 "text": "## MiniMax H3 Instructions\n\n**Image-to-Video (I2V) or First/Last-Frame-to-Video (FLF2V)**\n- Load an image and enter a prompt\n - Enable the second image input for FLF2V mode\n- For Text-to-Video (T2V), leave both image inputs disabled\n- Set the maximum resolution using the **📐 Aspect Ratio Simplifier**\n- Optionally enable RIFE interpolation and/or RTX Super Resolution\n- Click **Run**"
2035 },
2036 "zh": {
2037 "text": "## 使用说明\n\n**图像到视频（I2V）或首帧/末帧到视频（FLF2V）**\n- 加载一张图像并输入提示词\n - 启用第二张图像输入以进入 FLF2V 模式\n- 若进行文本到视频（T2V），请关闭两张图像输入\n- 使用 **📐 Aspect Ratio Simplifier** 设置最大分辨率\n- 可选择启用 RIFE 插值和/或 RTX 超级分辨率\n- 点击 **运行**",
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2041 },
2042 "titles": {
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2051 },
2052 "widgets_values": [
2053 "English ✏️",
2054 "## MiniMax H3 Instructions\n\n**Image-to-Video (I2V) or First/Last-Frame-to-Video (FLF2V)**\n- Load an image and enter a prompt\n - Enable the second image input for FLF2V mode\n- For Text-to-Video (T2V), leave both image inputs disabled\n- Set the maximum resolution using the **📐 Aspect Ratio Simplifier**\n- Optionally enable RIFE interpolation and/or RTX Super Resolution\n- Click **Run**"
2055 ],
2056 "widgets_values_named": {
2057 "language": "English ✏️",
2058 "text": "## MiniMax H3 Instructions\n\n**Image-to-Video (I2V) or First/Last-Frame-to-Video (FLF2V)**\n- Load an image and enter a prompt\n - Enable the second image input for FLF2V mode\n- For Text-to-Video (T2V), leave both image inputs disabled\n- Set the maximum resolution using the **📐 Aspect Ratio Simplifier**\n- Optionally enable RIFE interpolation and/or RTX Super Resolution\n- Click **Run**"
2059 },
2060 "color": "#2E3A46",
2061 "bgcolor": "#2E3A46"
2062 },
2063 {
2064 "id": 302,
2065 "type": "Fast Groups Bypasser (rgthree)",
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2074 "flags": [],
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2077 "inputs": [],
2078 "outputs": [
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2080 "name": "OPT_CONNECTION",
2081 "type": "*",
2082 "links": null
2083 }
2084 ],
2085 "title": "Main Bypasser",
2086 "properties": {
2087 "matchColors": "",
2088 "matchTitle": "#",
2089 "showNav": false,
2090 "showAllGraphs": true,
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2914 "size": [
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2918 "flags": [],
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2920 "mode": 0,
2921 "inputs": [],
2922 "outputs": [],
2923 "properties": {
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2926 "size": 125,
2927 "bold": true,
2928 "italic": false,
2929 "color": "#50e070",
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4369 "## LC Vision Moviemaker 🎥\n\n**LC Vision Loader 🔬**: \n- ⚠️ This auto downloads the model you choose on the first run, so it will take several minutes.\n- The model selector shows your already downloaded options as well as available downloads. \n\n**LC Vision Moviemaker**: \n- Write your prompt, then select a preset (T2V, R2VA, FL2VA, etc.)\n- Set **Duration(seconds) with the slider to the left\n - on multiple prompt workflows, `segments` breaks it down into equal parts for continuation.\n- 💡 **The multi-reference input**\n - This is what actually sets this node apart.\n - Use up to 4 reference images plus a reference video. It refers to each one individually instead of mushing them up into a blob. 😎\n - On **REF2VA**, list Image1, Image2, etc. in your prompt and the node does the work for you. \n\n**💡Low Vram**\n- Use one of the 4b instruct gguf models.\n- Lower the 'max_tokens' to about half. *note:* I suggest that you do not go below 1024 as the quality rapidly diminishes. \n\n---\n---\n\n## LC Vision Moviemaker 🎥\n\n**LC Vision Loader 🔬**：\n- ⚠️ 首次运行时会自动下载你选择的模型，需要几分钟时间。\n- 模型选择器会同时显示你已下载的模型，以及可供下载的选项。\n\n**LC Vision Moviemaker**：\n- 先写好你的提示词，然后选择一个预设（T2V、R2VA、FL2VA 等）。\n- 用左侧的滑块设置 **Duration(seconds)**（时长/秒）。\n - 在多提示词工作流中，`segments` 会将其平均拆分成若干段，用于连续生成。\n- 💡 **多参考图输入**\n - 这才是这个节点真正的过人之处。\n - 最多可使用 4 张参考图外加一段参考视频，它会分别识别每一张图，而不是把它们混成一团。😎\n - 在 **REF2VA** 模式下，只需在提示词中列出 Image1、Image2 等，节点会自动帮你处理。\n\n**💡低显存**\n- 选用 4b 的 instruct gguf 模型。\n- 把 `max_tokens` 调低到大约一半。*注：* 建议不要低于 1024，否则质量会明显下降。\n\n\n\n"
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4372 "text": "## LC Vision Moviemaker 🎥\n\n**LC Vision Loader 🔬**: \n- ⚠️ This auto downloads the model you choose on the first run, so it will take several minutes.\n- The model selector shows your already downloaded options as well as available downloads. \n\n**LC Vision Moviemaker**: \n- Write your prompt, then select a preset (T2V, R2VA, FL2VA, etc.)\n- Set **Duration(seconds) with the slider to the left\n - on multiple prompt workflows, `segments` breaks it down into equal parts for continuation.\n- 💡 **The multi-reference input**\n - This is what actually sets this node apart.\n - Use up to 4 reference images plus a reference video. It refers to each one individually instead of mushing them up into a blob. 😎\n - On **REF2VA**, list Image1, Image2, etc. in your prompt and the node does the work for you. \n\n**💡Low Vram**\n- Use one of the 4b instruct gguf models.\n- Lower the 'max_tokens' to about half. *note:* I suggest that you do not go below 1024 as the quality rapidly diminishes. \n\n---\n---\n\n## LC Vision Moviemaker 🎥\n\n**LC Vision Loader 🔬**：\n- ⚠️ 首次运行时会自动下载你选择的模型，需要几分钟时间。\n- 模型选择器会同时显示你已下载的模型，以及可供下载的选项。\n\n**LC Vision Moviemaker**：\n- 先写好你的提示词，然后选择一个预设（T2V、R2VA、FL2VA 等）。\n- 用左侧的滑块设置 **Duration(seconds)**（时长/秒）。\n - 在多提示词工作流中，`segments` 会将其平均拆分成若干段，用于连续生成。\n- 💡 **多参考图输入**\n - 这才是这个节点真正的过人之处。\n - 最多可使用 4 张参考图外加一段参考视频，它会分别识别每一张图，而不是把它们混成一团。😎\n - 在 **REF2VA** 模式下，只需在提示词中列出 Image1、Image2 等，节点会自动帮你处理。\n\n**💡低显存**\n- 选用 4b 的 instruct gguf 模型。\n- 把 `max_tokens` 调低到大约一半。*注：* 建议不要低于 1024，否则质量会明显下降。\n\n\n\n"
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4402 "text": "## **LC Model Optimizer Video ⚡**\n- 替代你的模型、文本编码器、视频 VAE、音频 VAE 和 latent upscaler 加载器。它是图里的第一个节点，切换模型时输出位置不会变。\n- **base_model：** MiniMax H3 FL2VA（默认）、MiniMax H3 Ref2VA、LTX 2.5、LTX 2.3，或者用 Custom 选其他任何模型。\n\n**它如何挑选你的文件**\n- 先运行一次 **System & Model Optimization Report**。它会测量你的显卡、RAM 和速度，之后每个文件默认都是据此得出的 **★ Recommended**。\n- 它会选在你机器上放得下且跑得好的最大文件。32 GB 的显卡接近完整画质，8 GB 的笔记本则会拿到一个真正能跑完的较小文件。\n- **Pruned 文件**（MiniMax H3）去掉了约 13B 生成时根本用不到的参数。输出相同，体积约为 60%。仅这一点就足以决定很多显卡上\"能跑\"还是\"跑不了\"。\n- 缺少推荐的文件？首次运行时会下载（**⬇ Download**）。\n\n**它如何挑选你的加速（Auto）**\n- **Attention：** 只有 Sage（或 Flash）通过了报告里在你机器上的测试才会启用。再也不会因为显卡不喜欢的 attention 模式而出黑帧了 😏\n- **Comfy Kitchen：** 单独用于 int8 / fp8 / nvfp4 文件，让这些小格式跑出真正的速度。\n- **Fast goal：** 加入 fp16 accumulation 和 step cache（仅在运行 20+ steps 时启用，那时才划算）。\n- **Manual：** 把 speed_ups 设为 Manual，自己逐项选择，包括 torch.compile。\n\n## **为什么配置较低的机器反而占便宜**\n- 状态面板会在你点击运行之前，显示每步耗时以及能否装进你的显卡。再也不用等 10 分钟才发现内存不够了。\n- 💡 视频不仅依赖 VRAM，也依赖系统 RAM：模型会卸载到 RAM 里。在低 VRAM 的显卡上，64 GB RAM 能让它保持运转。\n- ⚠️ 如果文本编码器或 VAE 与模型不匹配，会根据文件头给出警告。只是提示，不会阻止运行。\n",
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5398 ],
5399 "groups": [
5400 {
5401 "id": 10,
5402 "title": ": Image 1 🖼️",
5403 "bounding": [
5404 -5000,
5405 4350,
5406 610,
5407 780
5408 ],
5409 "color": "#3f789e",
5410 "flags": []
5411 },
5412 {
5413 "id": 16,
5414 "title": "🎨 Final Output 🎞️🎬",
5415 "bounding": [
5416 -810,
5417 4350,
5418 550,
5419 700
5420 ],
5421 "color": "#8AA",
5422 "flags": []
5423 },
5424 {
5425 "id": 15,
5426 "title": "Getset",
5427 "bounding": [
5428 -800,
5429 4400,
5430 220,
5431 440
5432 ],
5433 "color": "#b58b2a",
5434 "flags": []
5435 },
5436 {
5437 "id": 20,
5438 "title": ": Image 2 🖼️ (Last Frame)",
5439 "bounding": [
5440 -5000,
5441 5150,
5442 400,
5443 720
5444 ],
5445 "color": "#8AA",
5446 "flags": []
5447 },
5448 {
5449 "id": 26,
5450 "title": "🧠 Image or FL2VA to Video",
5451 "bounding": [
5452 -1130,
5453 4350,
5454 290,
5455 450
5456 ],
5457 "color": "#a1309b",
5458 "flags": []
5459 },
5460 {
5461 "id": 31,
5462 "title": "Main Bypassers",
5463 "bounding": [
5464 -3480,
5465 5470,
5466 340,
5467 360
5468 ],
5469 "color": "#af6419",
5470 "flags": []
5471 },
5472 {
5473 "id": 34,
5474 "title": "⚙️ User settings",
5475 "bounding": [
5476 -4010,
5477 4350,
5478 2590,
5479 1030
5480 ],
5481 "color": "#fafafa",
5482 "flags": []
5483 },
5484 {
5485 "id": 32,
5486 "title": "# Turbo LoRA",
5487 "bounding": [
5488 -4000,
5489 5090,
5490 400,
5491 280
5492 ],
5493 "color": "#3f789e",
5494 "flags": []
5495 },
5496 {
5497 "id": 33,
5498 "title": "Getset Nodes",
5499 "bounding": [
5500 -1390,
5501 4350,
5502 230,
5503 530
5504 ],
5505 "color": "#b58b2a",
5506 "flags": []
5507 },
5508 {
5509 "id": 35,
5510 "title": "# LC Vision 📽️",
5511 "bounding": [
5512 -2670,
5513 4710,
5514 340,
5515 660
5516 ],
5517 "color": "#8A8",
5518 "flags": []
5519 }
5520 ],
5521 "config": [],
5522 "extra": {
5523 "ds": {
5524 "scale": 1.586309297171556,
5525 "offset": [
5526 1411.5220497390478,
5527 -4930.157510968965
5528 ]
5529 },
5530 "frontendVersion": "1.47.11",
5531 "VHS_latentpreview": false,
5532 "VHS_latentpreviewrate": 0,
5533 "VHS_MetadataImage": true,
5534 "VHS_KeepIntermediate": true,
5535 "ue_links": [],
5536 "links_added_by_ue": [],
5537 "k2cf_state_id": "k2cf_1785113348833_apxfftyz2ud",
5538 "lc_guides": [
5539 {
5540 "axis": "y",
5541 "v": 4350,
5542 "kind": "group"
5543 },
5544 {
5545 "axis": "y",
5546 "v": 4190,
5547 "kind": "node"
5548 },
5549 {
5550 "axis": "x",
5551 "v": -810,
5552 "kind": "group"
5553 },
5554 {
5555 "axis": "x",
5556 "v": -1390,
5557 "kind": "group"
5558 },
5559 {
5560 "axis": "x",
5561 "v": -240,
5562 "kind": "node"
5563 }
5564 ],
5565 "so_workflow_key": "5de24f8c-7e84-403f-bc1b-3fe4afd63870",
5566 "vision_assistant": {
5567 "snapshots": [],
5568 "tour": {
5569 "title": "ComfyUI Workflow Tour: Lonecat's Simple MiniMax H3 V2.0",
5570 "steps": [
5571 {
5572 "title": "Image 1 🖼️",
5573 "text": "Load your picture and write a prompt. For text to video, turn both images off.\n\n💡 Set the size with the Aspect Ratio Simplifier.",
5574 "groups": [
5575 {
5576 "title": ": Image 1 🖼️",
5577 "index": 0
5578 }
5579 ],
5580 "nodes": [],
5581 "settings": [
5582 {
5583 "node": 224,
5584 "widget": "boolean",
5585 "why": "On: the video keeps your picture's shape."
5586 },
5587 {
5588 "node": 183,
5589 "widget": "max_resolution",
5590 "why": "How big the video gets. Set it lower for faster generation."
5591 }
5592 ],
5593 "i18n": {
5594 "zh": {
5595 "title": "Image 1 🖼️",
5596 "text": "载入图片并写提示词。文生视频的话,把两张图都关掉。\n\n💡 用 Aspect Ratio Simplifier 设置尺寸。",
5597 "src": "56a4b673",
5598 "why": {
5599 "224|boolean": {
5600 "text": "开：视频保持你图片的形状。",
5601 "src": "f0cc731c"
5602 },
5603 "183|max_resolution": {
5604 "text": "视频的大小。调低生成更快。",
5605 "src": "e5551276"
5606 }
5607 }
5608 }
5609 }
5610 },
5611 {
5612 "title": "Image 2 🖼️ (Last Frame)",
5613 "text": "Turn this on for First / Last Frame to Video (FL2VA). The video ends on this picture.",
5614 "groups": [
5615 {
5616 "title": ": Image 2 🖼️ (Last Frame)",
5617 "index": 5
5618 }
5619 ],
5620 "nodes": [],
5621 "settings": [
5622 {
5623 "node": 304,
5624 "widget": "RGTHREE_TOGGLE_AND_NAV#1",
5625 "why": "The switch for the last frame."
5626 }
5627 ],
5628 "i18n": {
5629 "zh": {
5630 "title": "Image 2 🖼️（尾帧）",
5631 "text": "做首帧 / 尾帧生视频（FL2VA）时打开。视频会停在这张图上。",
5632 "src": "6956fcc3",
5633 "why": {
5634 "304|RGTHREE_TOGGLE_AND_NAV#1": {
5635 "text": "尾帧的开关。",
5636 "src": "9a960b1d"
5637 }
5638 }
5639 }
5640 }
5641 },
5642 {
5643 "title": "Main Bypassers",
5644 "text": "Every part of the workflow has a switch here. ✋ Use these, never bypass nodes by hand.",
5645 "groups": [
5646 {
5647 "title": "Main Bypassers",
5648 "index": 7
5649 }
5650 ],
5651 "nodes": [],
5652 "settings": [
5653 {
5654 "node": 302,
5655 "widget": "RGTHREE_TOGGLE_AND_NAV",
5656 "why": "LC Vision writes the prompt for each part of the video."
5657 },
5658 {
5659 "node": 302,
5660 "widget": "RGTHREE_TOGGLE_AND_NAV#1",
5661 "why": "4 steps instead of 20. Needs the Turbo LoRA (the link is in the main notes)."
5662 },
5663 {
5664 "node": 302,
5665 "widget": "RGTHREE_TOGGLE_AND_NAV#2",
5666 "why": "Doubles the frame rate for smoother video."
5667 },
5668 {
5669 "node": 302,
5670 "widget": "RGTHREE_TOGGLE_AND_NAV#3",
5671 "why": "Makes the video bigger and sharper."
5672 }
5673 ],
5674 "i18n": {
5675 "zh": {
5676 "title": "Main Bypassers",
5677 "text": "工作流的每个部分在这里都有一个开关。✋ 用这些开关,千万别手动 bypass 节点。",
5678 "src": "6a290315",
5679 "why": {
5680 "302|RGTHREE_TOGGLE_AND_NAV": {
5681 "text": "LC Vision 为视频的每个部分写提示词。",
5682 "src": "92837123"
5683 },
5684 "302|RGTHREE_TOGGLE_AND_NAV#1": {
5685 "text": "4 steps 代替 20。需要 Turbo LoRA（链接在主笔记里）。",
5686 "src": "1dbc4685"
5687 },
5688 "302|RGTHREE_TOGGLE_AND_NAV#2": {
5689 "text": "帧率翻倍,视频更流畅。",
5690 "src": "23708bfc"
5691 },
5692 "302|RGTHREE_TOGGLE_AND_NAV#3": {
5693 "text": "让视频更大更清晰。",
5694 "src": "82d171c8"
5695 }
5696 }
5697 }
5698 }
5699 },
5700 {
5701 "title": "⚙️ User Settings",
5702 "text": "Model, prompt, steps and length, all in one place.",
5703 "groups": [
5704 {
5705 "title": "⚙️ User settings",
5706 "index": 8
5707 }
5708 ],
5709 "nodes": [],
5710 "settings": [
5711 {
5712 "node": 347,
5713 "widget": "base_model",
5714 "why": "FL2VA (default), Ref2VA, LTX 2.5 or LTX 2.3. Leave the files on ★ Recommended and it picks what fits your card."
5715 },
5716 {
5717 "node": 232,
5718 "widget": "Xi",
5719 "why": "4 to 6 for Turbo, 20 to 25 for regular, 8 for Eros10."
5720 },
5721 {
5722 "node": 231,
5723 "widget": "Xi",
5724 "why": "How long the video is, in seconds."
5725 },
5726 {
5727 "node": 167,
5728 "widget": "positive",
5729 "why": "Type your prompt here, or let LC Vision write it."
5730 },
5731 {
5732 "node": 123,
5733 "widget": "sampler_name",
5734 "why": "Not used with Turbo."
5735 },
5736 {
5737 "node": 358,
5738 "widget": "base_seed",
5739 "why": "💡 I always use a fixed seed (unless I'm experimenting). Hit New Fixed Random when you want a change, so you can tweak things without it regenerating."
5740 }
5741 ],
5742 "i18n": {
5743 "zh": {
5744 "title": "⚙️ User Settings",
5745 "text": "模型、提示词、steps 和时长,都在一处。",
5746 "src": "89ada9be",
5747 "why": {
5748 "347|base_model": {
5749 "text": "FL2VA（默认）、Ref2VA、LTX 2.5 或 LTX 2.3。文件保持 ★ Recommended，它会按你的显卡挑合适的。",
5750 "src": "b523a4e0"
5751 },
5752 "232|Xi": {
5753 "text": "Turbo 用 4 到 6，普通模型 20 到 25，Eros10 用 8。",
5754 "src": "55eb232f"
5755 },
5756 "231|Xi": {
5757 "text": "视频有多长，单位是秒。",
5758 "src": "441b1a21"
5759 },
5760 "167|positive": {
5761 "text": "在这里输入提示词,或者让 LC Vision 来写。",
5762 "src": "4b3eea3d"
5763 },
5764 "123|sampler_name": {
5765 "text": "Turbo 不使用。",
5766 "src": "aa068a2d"
5767 },
5768 "358|base_seed": {
5769 "text": "💡 我一直用固定 seed（除非在做实验）。想换一版时点 New Fixed Random，这样你可以随便调整而不会重新生成。",
5770 "src": "69f6065f"
5771 }
5772 }
5773 }
5774 }
5775 },
5776 {
5777 "title": "LC Vision 📽️",
5778 "text": "LC Vision Moviemaker plans the video in parts, each one written as its own MiniMax H3 prompt.\n\n💡 Low VRAM: use a 4B model and halve max_tokens (not below 1024).",
5779 "groups": [
5780 {
5781 "title": "# LC Vision 📽️",
5782 "index": 11
5783 }
5784 ],
5785 "nodes": [],
5786 "settings": [
5787 {
5788 "node": 351,
5789 "widget": "preset",
5790 "why": "T2V, R2VA, FL2VA and their NSFW versions."
5791 },
5792 {
5793 "node": 351,
5794 "widget": "segments",
5795 "why": "Breaks the video into equal parts that continue from each other."
5796 },
5797 {
5798 "node": 351,
5799 "widget": "max_tokens",
5800 "why": "Lower it on smaller cards, but not below 1024. The quality drops fast."
5801 }
5802 ],
5803 "i18n": {
5804 "zh": {
5805 "title": "LC Vision 📽️",
5806 "text": "LC Vision Moviemaker 把视频分成几个部分来规划，每个部分都写成独立的 MiniMax H3 提示词。\n\n💡 低 VRAM：用 4B 模型，并把 max_tokens 减半（不要低于 1024）。",
5807 "src": "bdbba347",
5808 "why": {
5809 "351|preset": {
5810 "text": "T2V、R2VA、FL2VA 以及它们的 NSFW 版本。",
5811 "src": "3f1489e7"
5812 },
5813 "351|segments": {
5814 "text": "把视频切成相互衔接的等长部分。",
5815 "src": "44b3c6f8"
5816 },
5817 "351|max_tokens": {
5818 "text": "小显卡可以调低，但别低于 1024。画质会掉得很快。",
5819 "src": "4bdf57f5"
5820 }
5821 }
5822 }
5823 }
5824 },
5825 {
5826 "title": "Turbo LoRA",
5827 "text": "4 steps instead of 20. Turn it on in the Main Bypassers.\n\nYou will need to download the Turbo LoRA. The link is in the main notes.",
5828 "groups": [
5829 {
5830 "title": "# Turbo LoRA",
5831 "index": 9
5832 }
5833 ],
5834 "nodes": [],
5835 "settings": [],
5836 "i18n": {
5837 "zh": {
5838 "title": "Turbo LoRA",
5839 "text": "4 步代替 20 步。在 Main Bypassers 里打开。\n\n你需要下载 Turbo LoRA。链接在主说明里。",
5840 "src": "1dcb0f3c",
5841 "why": []
5842 }
5843 }
5844 },
5845 {
5846 "title": "🧠 Image or FL2VA to Video",
5847 "text": "Where all the fun happens. Nothing to set here.",
5848 "groups": [
5849 {
5850 "title": "🧠 Image or FL2VA to Video",
5851 "index": 6
5852 }
5853 ],
5854 "nodes": [],
5855 "settings": [],
5856 "i18n": {
5857 "zh": {
5858 "title": "🧠 图片或 FL2VA 生成视频",
5859 "text": "好戏都在这里。这里不用设置任何东西。",
5860 "src": "f3739256",
5861 "why": []
5862 }
5863 }
5864 },
5865 {
5866 "title": "Rife VFI Interpolate 📽️",
5867 "text": "Doubles the frame rate (24 to 48) for smoother videos.\n\n💡 It takes a minute and just sits there, so be patient.",
5868 "groups": [
5869 {
5870 "title": "# Rife VFI Interpolate 📽️",
5871 "index": 2
5872 }
5873 ],
5874 "nodes": [],
5875 "settings": [
5876 {
5877 "node": 217,
5878 "widget": "ckpt_name",
5879 "why": "Use rife49.pth."
5880 },
5881 {
5882 "node": 217,
5883 "widget": "clear_cache_after_n_frames",
5884 "why": "Having issues? Lower it to 5, or change the dtype."
5885 }
5886 ],
5887 "i18n": {
5888 "zh": {
5889 "title": "Rife VFI Interpolate 📽️",
5890 "text": "帧率翻倍（24 到 48），视频更流畅。\n\n💡 要花一分钟，看起来像卡住了，耐心等一下。",
5891 "src": "2416a055",
5892 "why": {
5893 "217|ckpt_name": {
5894 "text": "使用 rife49.pth。",
5895 "src": "22bdeff1"
5896 },
5897 "217|clear_cache_after_n_frames": {
5898 "text": "有问题？调低到 5，或者换 dtype。",
5899 "src": "d70e1aaf"
5900 }
5901 }
5902 }
5903 }
5904 },
5905 {
5906 "title": "RTX Super Resolution 📽️",
5907 "text": "Makes the video bigger and sharper. I typically leave it at 2.00 and Ultra.",
5908 "groups": [
5909 {
5910 "title": "# RTX Super Resolution 📽️",
5911 "index": 3
5912 }
5913 ],
5914 "nodes": [],
5915 "settings": [],
5916 "i18n": {
5917 "zh": {
5918 "title": "RTX Super Resolution 📽️",
5919 "text": "让视频更大更清晰。我一般保持 2.00 和 Ultra。",
5920 "src": "1c0c0677",
5921 "why": []
5922 }
5923 }
5924 },
5925 {
5926 "title": "Video Combine 🎥",
5927 "text": "Saves the video.",
5928 "groups": [],
5929 "nodes": [
5930 218
5931 ],
5932 "settings": [
5933 {
5934 "node": 218,
5935 "widget": "format",
5936 "why": "h265 is what I use."
5937 },
5938 {
5939 "node": 218,
5940 "widget": "crf",
5941 "why": "19. Lower = better quality, bigger file."
5942 }
5943 ],
5944 "i18n": {
5945 "zh": {
5946 "title": "Video Combine 🎥",
5947 "text": "保存视频。",
5948 "src": "a5c46d77",
5949 "why": {
5950 "218|format": {
5951 "text": "我用 h265。",
5952 "src": "71d21e3e"
5953 },
5954 "218|crf": {
5955 "text": "19。越低 = 质量越好,文件越大。",
5956 "src": "d5d575d4"
5957 }
5958 }
5959 }
5960 }
5961 }
5962 ],
5963 "source": "saved",
5964 "saved": 1791844702066,
5965 "locked": true,
5966 "i18n": {
5967 "zh": {
5968 "title": "ComfyUI Workflow Tour：Lonecat's Simple MiniMax H3 V2.0"
5969 }
5970 }
5971 }
5972 }
5973 },
5974 "version": 0.4
5975}