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use a preset\n- **swap dimenaions**: turns the resolution on it's side"},"zh":{"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）","src":"4c516242","srcTitle":"📐 Aspect Ratio Simplifier Instructions"}},"titles":{"en":"📐 Aspect Ratio Simplifier Instructions"}},"ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}}},"widgets_values":["English ✏️","## 📐 Aspect Ratio Simplifier Instructions \n\n- **Max_resolution** determines how large the overall resolution is. 💡 Set lower for faster generation\n\n- **aspect ratio**: Set a custom value or use a preset\n- **swap dimenaions**: turns the resolution on it's side"],"widgets_values_named":{"language":"English ✏️","text":"## 📐 Aspect Ratio Simplifier Instructions \n\n- **Max_resolution** determines how large the overall resolution is. 💡 Set lower for faster generation\n\n- **aspect ratio**: Set a custom value or use a preset\n- **swap dimenaions**: turns the resolution on it's side"},"color":"#2E3A46","bgcolor":"#2E3A46"},{"id":230,"type":"LCComboSelector","pos":[-3590,4640],"size":[340,60],"flags":{},"order":4,"mode":0,"inputs":[{"localized_name":"value","name":"value","type":"STRING","widget":{"name":"value"},"link":null}],"outputs":[{"label":"COMBO","localized_name":"value","name":"value","type":"COMBO","links":[542]}],"title":"Scheduler","properties":{"lc_combo_w":340,"lc_combo_h":60,"cnr_id":"ComfyUI_LC123_nodes","ver":"6d2ad4229ecb24058ad65de597345005a7f7a6dc","Node name for 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S&R":"DF_Text","ue_properties":{"widget_ue_connectable":{},"input_ue_unconnectable":{},"version":"7.8"}},"widgets_values":["Minimax"],"widgets_values_named":{"Text":"Minimax"},"color":"#467878","bgcolor":"#326464"},{"id":319,"type":"LCNote","pos":[-5850,4380],"size":[820,1500],"flags":{},"order":9,"mode":0,"inputs":[],"outputs":[],"properties":{"lc_note":{"source":"en","texts":{"en":{"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```"},"zh":{"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","src":"35142cac","srcTitle":""}},"titles":{}},"ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}}},"widgets_values":["English ✏️","---\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```"],"widgets_values_named":{"language":"English ✏️","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```"},"color":"#2E3A46","bgcolor":"#2E3A46"},{"id":299,"type":"BasicGuider","pos":[-1380,4590],"size":[200,50],"flags":{"collapsed":true},"order":47,"mode":0,"inputs":[{"localized_name":"model","name":"model","type":"MODEL","link":575},{"localized_name":"conditioning","name":"conditioning","type":"CONDITIONING","link":610}],"outputs":[{"localized_name":"GUIDER","name":"GUIDER","type":"GUIDER","links":[612]}],"title":"Basic Guider FL2VA","properties":{"cnr_id":"comfy-core","ver":"0.29.0","Node name for 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This is stuff the user should never have to touch.\n- if you click on the ⚪ in the corner of the node, it expands, allowing you to make adjustments"},"zh":{"text":"这是什么？\n\n为了节省空间并避免到处翻找，我把所有后台设置都放在这类区域里（每个工作流都会有）。这些是用户不需要碰的内容。\n点击节点左上角的 ⚪ 圆点即可展开，你可以在这里进行调整。","src":"5e450236","srcTitle":"What is this?"}},"titles":{"en":"What is this?"}},"ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}}},"widgets_values":["English ✏️","**What is this?**\n\n- In order to save space and avoid a lot of looking around, I place all the backend stuff in areas like this on every workflow. This is stuff the user should never have to touch.\n- if you click on the ⚪ in the corner of the node, it expands, allowing you to make adjustments"],"widgets_values_named":{"language":"English ✏️","text":"**What is this?**\n\n- In order to save space and avoid a lot of looking around, I place all the backend stuff in areas like this on every workflow. This is stuff the user should never have to touch.\n- if you click on the ⚪ in the corner of the node, it expands, allowing you to make adjustments"},"color":"#2E3A46","bgcolor":"#2E3A46"},{"id":218,"type":"VHS_VideoCombine","pos":[-240,4380],"size":[720,310],"flags":{},"order":58,"mode":0,"inputs":[{"localized_name":"images","name":"images","type":"IMAGE","link":648},{"localized_name":"audio","name":"audio","shape":7,"type":"AUDIO","link":550},{"localized_name":"meta_batch","name":"meta_batch","shape":7,"type":"VHS_BatchManager","link":null},{"localized_name":"vae","name":"vae","shape":7,"type":"VAE","link":null},{"localized_name":"frame_rate","name":"frame_rate","type":"FLOAT","widget":{"name":"frame_rate"},"link":646},{"localized_name":"loop_count","name":"loop_count","type":"INT","widget":{"name":"loop_count"},"link":null},{"localized_name":"filename_prefix","name":"filename_prefix","type":"STRING","widget":{"name":"filename_prefix"},"link":464},{"localized_name":"format","name":"format","type":"COMBO","widget":{"name":"format"},"link":null},{"localized_name":"pingpong","name":"pingpong","type":"BOOLEAN","widget":{"name":"pingpong"},"link":null},{"localized_name":"save_output","name":"save_output","type":"BOOLEAN","widget":{"name":"save_output"},"link":null},{"name":"pix_fmt","type":["yuv420p10le","yuv420p"],"widget":{"name":"pix_fmt"},"link":null},{"name":"crf","type":"INT","widget":{"name":"crf"},"link":null},{"name":"save_metadata","type":"BOOLEAN","widget":{"name":"save_metadata"},"link":null}],"outputs":[{"localized_name":"Filenames","name":"Filenames","type":"VHS_FILENAMES","links":[416]}],"properties":{"cnr_id":"comfyui-videohelpersuite","ver":"4ee72c065db22c9d96c2427954dc69e7b908444b","Node 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Post Processing","properties":{"lc_note":{"source":"en","texts":{"en":{"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"},"zh":{"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","src":"e9dcbb9a","srcTitle":"🎨 Post Processing"}},"titles":{"en":"🎨 Post Processing"}},"ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}}},"widgets_values":["English ✏️","## 🎨 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"],"widgets_values_named":{"language":"English ✏️","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"},"color":"#2E3A46","bgcolor":"#2E3A46"},{"id":125,"type":"SamplerCustomAdvanced","pos":[-1120,4680],"size":[270,110],"flags":{},"order":49,"mode":0,"inputs":[{"localized_name":"noise","name":"noise","type":"NOISE","link":253},{"localized_name":"guider","name":"guider","type":"GUIDER","link":612},{"localized_name":"sampler","name":"sampler","type":"SAMPLER","link":571},{"localized_name":"sigmas","name":"sigmas","type":"SIGMAS","link":613},{"localized_name":"latent_image","name":"latent_image","type":"LATENT","link":400}],"outputs":[{"localized_name":"output","name":"output","type":"LATENT","links":[403,405]},{"localized_name":"denoised_output","name":"denoised_output","type":"LATENT","links":[]}],"properties":{"cnr_id":"comfy-core","ver":"0.29.0","Node name for 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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**","src":"b16fe21","srcTitle":"Workflow Instructions"}},"titles":{"en":"Workflow Instructions"}},"ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}}},"widgets_values":["English ✏️","## 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**"],"widgets_values_named":{"language":"English ✏️","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**"},"color":"#2E3A46","bgcolor":"#2E3A46"},{"id":302,"type":"Fast Groups Bypasser (rgthree)","pos":[-3470,5690],"size":[320,130],"flags":{},"order":13,"mode":0,"inputs":[],"outputs":[{"name":"OPT_CONNECTION","type":"*","links":null}],"title":"Main Bypasser","properties":{"matchColors":"","matchTitle":"#","showNav":false,"showAllGraphs":true,"sort":"alphanumeric","customSortAlphabet":"","toggleRestriction":"default","ue_properties":{"widget_ue_connectable":{},"input_ue_unconnectable":{},"version":"7.8"}},"color":"#c3782d","bgcolor":"#af6419"},{"id":137,"type":"LoadImage","pos":[-4990,4520],"size":[380,600],"flags":{},"order":14,"mode":0,"inputs":[{"localized_name":"image","name":"image","type":"COMBO","widget":{"name":"image"},"link":null},{"localized_name":"choose file to 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Medium close-up. Hood up, wind, she stares into the lens throughout.**\n\n**0:00–0:04**\n**NARRATOR:** Do you suffer from long hours in front of ComfyUI making images?\n*(She blinks slowly.)*\n\n**0:04–0:08**\n**NARRATOR:** Red nodes. \"Out of memory.\" One more seed, at 3 a.m.\n*(Hood twitches in the wind.)*\n\n**0:08–0:11**\n**NARRATOR:** Try Samplerol, touch grass, then queue again.\n*(She gives a tiny smirk.)*\n\n**0:11–0:14**\n**LEGAL VOICE-OVER (fast):** *Side effects include six fingers, plastic skin, and buying more RAM*\n*(She does not react.)*\n\n**0:14–0:15**\nshe says \"Ask your doctor. Or your VRAM.\"\n*(Fade out.)*\n\n"],"widgets_values_named":{"positive":"**STATIONARY SHOT. Medium close-up. Hood up, wind, she stares into the lens throughout.**\n\n**0:00–0:04**\n**NARRATOR:** Do you suffer from long hours in front of ComfyUI making images?\n*(She blinks slowly.)*\n\n**0:04–0:08**\n**NARRATOR:** Red nodes. \"Out of memory.\" One more seed, at 3 a.m.\n*(Hood twitches in the wind.)*\n\n**0:08–0:11**\n**NARRATOR:** Try Samplerol, touch grass, then queue again.\n*(She gives a tiny smirk.)*\n\n**0:11–0:14**\n**LEGAL VOICE-OVER (fast):** *Side effects include six fingers, plastic skin, and buying more RAM*\n*(She does not react.)*\n\n**0:14–0:15**\nshe says \"Ask your doctor. 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Medium close-up. Hood up, wind, she stares into the lens throughout.**\n\n**0:00–0:04**\n**NARRATOR:** Do you suffer from long hours in front of ComfyUI making images?\n*(She blinks slowly.)*\n\n**0:04–0:08**\n**NARRATOR:** Red nodes. \"Out of memory.\" One more seed, at 3 a.m.\n*(Hood twitches in the wind.)*\n\n**0:08–0:11**\n**NARRATOR:** Try Samplerol, touch grass, then queue again.\n*(She gives a tiny smirk.)*\n\n**0:11–0:14**\n**LEGAL VOICE-OVER (fast):** *Side effects include six fingers, plastic skin, and buying more RAM*\n*(She does not react.)*\n\n**0:14–0:15**\nshe says \"Ask your doctor. Or your VRAM.\"\n*(Fade out.)*\n\n"},"widgets_values":["**STATIONARY SHOT. Medium close-up. Hood up, wind, she stares into the lens throughout.**\n\n**0:00–0:04**\n**NARRATOR:** Do you suffer from long hours in front of ComfyUI making images?\n*(She blinks slowly.)*\n\n**0:04–0:08**\n**NARRATOR:** Red nodes. \"Out of memory.\" One more seed, at 3 a.m.\n*(Hood twitches in the wind.)*\n\n**0:08–0:11**\n**NARRATOR:** Try Samplerol, touch grass, then queue again.\n*(She gives a tiny smirk.)*\n\n**0:11–0:14**\n**LEGAL VOICE-OVER (fast):** *Side effects include six fingers, plastic skin, and buying more RAM*\n*(She does not react.)*\n\n**0:14–0:15**\nshe says \"Ask your doctor. Or your VRAM.\"\n*(Fade out.)*\n\n"],"widgets_values_named":{"text":"**STATIONARY SHOT. Medium close-up. Hood up, wind, she stares into the lens throughout.**\n\n**0:00–0:04**\n**NARRATOR:** Do you suffer from long hours in front of ComfyUI making images?\n*(She blinks slowly.)*\n\n**0:04–0:08**\n**NARRATOR:** Red nodes. \"Out of memory.\" One more seed, at 3 a.m.\n*(Hood twitches in the wind.)*\n\n**0:08–0:11**\n**NARRATOR:** Try Samplerol, touch grass, then queue again.\n*(She gives a tiny smirk.)*\n\n**0:11–0:14**\n**LEGAL VOICE-OVER (fast):** *Side effects include six fingers, plastic skin, and buying more RAM*\n*(She does not react.)*\n\n**0:14–0:15**\nshe says \"Ask your doctor. 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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"],"widgets_values_named":{"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"},"color":"#233","bgcolor":"#355"},{"id":360,"type":"LCNote","pos":[-4360,5090],"size":[320,580],"flags":{},"order":28,"mode":0,"inputs":[],"outputs":[],"title":"LC Model Optimizer","properties":{"lc_note":{"source":"en","texts":{"en":{"text":"## **LC Model Optimizer Video ⚡**\n- Replaces your model, text encoder, video VAE, audio VAE and latent upscaler loaders. It is the first thing in the graph, and the outputs never move when you switch models.\n- **base_model:** MiniMax H3 FL2VA (default), MiniMax H3 Ref2VA, LTX 2.5, LTX 2.3, or Custom for anything else.\n\n**How it picks your files**\n- Run the **System & Model Optimization Report** once. It measures YOUR card, RAM and speed, and every file defaults to **★ Recommended** from it.\n- It picks the biggest file that still fits and runs well. A 32 GB card gets close to full quality, an 8 GB laptop gets a smaller file that actually finishes.\n- **Pruned files** (MiniMax H3) drop about 13B parameters the model never uses while generating. Same output, about 60% of the size. That alone is the difference between \"fits\" and \"doesn't\" on a lot of cards.\n- Missing a recommended file? It downloads on the first run (**⬇ Download**).\n\n**How it picks your speed-ups (Auto)**\n- **Attention:** Sage (or Flash) only if it passed the report's test on your machine. No more black frames from an attention mode your card doesn't like 😏\n- **Comfy Kitchen:** used on its own for int8 / fp8 / nvfp4 files, so the small formats run at their real speed.\n- **Fast goal:** adds fp16 accumulation and a step cache (only when you run 20+ steps, where it pays off).\n- **Manual:** set speed_ups to Manual and pick each one yourself, torch.compile included.\n\n## **Why smaller machines win here**\n- The status panel shows your time per step and whether it fits on your card before you hit run. No more waiting 10 minutes to find out it ran out of memory.\n- 💡 Video leans on system RAM as well as VRAM: the model offloads into RAM. On low VRAM cards, 64 GB of RAM is what keeps it moving.\n- ⚠️ A text encoder or VAE that doesn't belong to the model gets a warning, read from the file header. A hint, not a block."},"zh":{"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","src":"446c3fb8","srcTitle":"LC Model Optimizer"}},"titles":{"en":"LC Model Optimizer","zh":"LC Model Optimizer"}},"ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}}},"widgets_values":["English ✏️","## **LC Model Optimizer Video ⚡**\n- Replaces your model, text encoder, video VAE, audio VAE and latent upscaler loaders. 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The quality drops fast."}],"i18n":{"zh":{"title":"LC Vision 📽️","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）。","src":"bdbba347","why":{"351|preset":{"text":"T2V、R2VA、FL2VA 以及它们的 NSFW 版本。","src":"3f1489e7"},"351|segments":{"text":"把视频切成相互衔接的等长部分。","src":"44b3c6f8"},"351|max_tokens":{"text":"小显卡可以调低，但别低于 1024。画质会掉得很快。","src":"4bdf57f5"}}}}},{"title":"Turbo LoRA","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.","groups":[{"title":"#  Turbo LoRA","index":9}],"nodes":[],"settings":[],"i18n":{"zh":{"title":"Turbo LoRA","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。","src":"1dcb0f3c","why":{}}}},{"title":"🧠 Image or FL2VA to Video","text":"Where all the fun happens. Nothing to set here.","groups":[{"title":"🧠 Image or FL2VA to Video","index":6}],"nodes":[],"settings":[],"i18n":{"zh":{"title":"🧠 图片或 FL2VA 生成视频","text":"好戏都在这里。这里不用设置任何东西。","src":"f3739256","why":{}}}},{"title":"Rife VFI Interpolate 📽️","text":"Doubles the frame rate (24 to 48) for smoother videos.\n\n💡 It takes a minute and just sits there, so be patient.","groups":[{"title":"# Rife VFI Interpolate 📽️","index":2}],"nodes":[],"settings":[{"node":217,"widget":"ckpt_name","why":"Use rife49.pth."},{"node":217,"widget":"clear_cache_after_n_frames","why":"Having issues? Lower it to 5, or change the dtype."}],"i18n":{"zh":{"title":"Rife VFI Interpolate 📽️","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。","src":"2416a055","why":{"217|ckpt_name":{"text":"使用 rife49.pth。","src":"22bdeff1"},"217|clear_cache_after_n_frames":{"text":"有问题？调低到 5，或者换 dtype。","src":"d70e1aaf"}}}}},{"title":"RTX Super Resolution 📽️","text":"Makes the video bigger and sharper. I typically leave it at 2.00 and Ultra.","groups":[{"title":"# RTX Super Resolution 📽️","index":3}],"nodes":[],"settings":[],"i18n":{"zh":{"title":"RTX Super Resolution 📽️","text":"让视频更大更清晰。我一般保持 2.00 和 Ultra。","src":"1c0c0677","why":{}}}},{"title":"Video Combine 🎥","text":"Saves the video.","groups":[],"nodes":[218],"settings":[{"node":218,"widget":"format","why":"h265 is what I use."},{"node":218,"widget":"crf","why":"19. Lower = better quality, bigger file."}],"i18n":{"zh":{"title":"Video Combine 🎥","text":"保存视频。","src":"a5c46d77","why":{"218|format":{"text":"我用 h265。","src":"71d21e3e"},"218|crf":{"text":"19。越低 = 质量越好,文件越大。","src":"d5d575d4"}}}}}],"source":"saved","saved":1791844702066,"locked":true,"i18n":{"zh":{"title":"ComfyUI Workflow Tour：Lonecat's Simple MiniMax H3 V2.0"}}}}},"version":0.4}