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Her legs are bare, revealing smooth, tanned skin with natural shadows between the thighs. A male partner's arm enters the frame from the left, his hand resting on her thigh, suggesting a slow, deliberate movement. The background is a dark blue rug with a subtle purple geometric hexagonal pattern, providing a cool contrast to the warm skin tones. The lighting is soft and diffuse, creating a romantic atmosphere.\n[Shot 2] At 00:04.200, the shot cuts to a slightly wider angle, revealing the partner's back and buttocks. The male partner's hand is now positioned between her legs, fingers gently holding her inner thighs. From the bottom left, a phallic object with a realistic, slightly textured surface enters her mouth. The camera slowly pushes in, maintaining focus on the act. The lighting remains consistent, casting gentle highlights on the curves of the buttocks and the object in the mouth. The background rug pattern remains visible, anchoring the scene in a domestic setting.\n\noverall_soundscape:\nThe audio is dominated by the wet, slick sounds of the phallic object entering and moving within the mouth, accompanied by soft, rhythmic breathing from the female partner. There are subtle sounds of skin on skin and the soft friction of the object against her lips. In the background, the ambient hum of the room is barely audible, keeping the focus entirely on the intimate sounds of the sexual act.\n\nnon_diegetic_music:\nN/A"],"widgets_values_named":{"text":"subject_definitions:\n is a female partner with a light tan skin tone and a slender build, positioned on her back on a patterned rug.\n is the first image showing a close-up of the partner's legs and the male partner's arm entering from the left, establishing the camera angle and skin texture.\n is the second image showing a wider view of the partner's rear, with the male partner's hand visible between her legs and a phallic object entering her mouth from the left.\n\nsummary:\nkeyframe completion + reference generation\n\nretention_analysis:\n (appears in Picture 1, Picture 2): fully_preserved - identity, body type, skin tone, and position maintained.\n: fully_preserved - composition, lighting, and camera angle.\n: fully_preserved - action, phallic object, and background pattern.\n\ndetailed_description:\nThe target video uses a cinematic, intimate style with soft, warm lighting that highlights the smooth texture of the skin and the plush texture of the rug.\n[Shot 1] The scene opens with a close-up, high-angle shot looking down at the female partner's legs spread wide. Her legs are bare, revealing smooth, tanned skin with natural shadows between the thighs. A male partner's arm enters the frame from the left, his hand resting on her thigh, suggesting a slow, deliberate movement. The background is a dark blue rug with a subtle purple geometric hexagonal pattern, providing a cool contrast to the warm skin tones. The lighting is soft and diffuse, creating a romantic atmosphere.\n[Shot 2] At 00:04.200, the shot cuts to a slightly wider angle, revealing the partner's back and buttocks. The male partner's hand is now positioned between her legs, fingers gently holding her inner thighs. From the bottom left, a phallic object with a realistic, slightly textured surface enters her mouth. The camera slowly pushes in, maintaining focus on the act. The lighting remains consistent, casting gentle highlights on the curves of the buttocks and the object in the mouth. The background rug pattern remains visible, anchoring the scene in a domestic setting.\n\noverall_soundscape:\nThe audio is dominated by the wet, slick sounds of the phallic object entering and moving within the mouth, accompanied by soft, rhythmic breathing from the female partner. There are subtle sounds of skin on skin and the soft friction of the object against her lips. In the background, the ambient hum of the room is barely audible, keeping the focus entirely on the intimate sounds of the sexual act.\n\nnon_diegetic_music:\nN/A"}},{"bgcolor":"#335","color":"#223","flags":{},"id":126,"inputs":[{"link":303,"localized_name":"images","name":"images","type":"IMAGE"},{"link":242,"localized_name":"audio","name":"audio","shape":7,"type":"AUDIO"},{"link":null,"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":null,"localized_name":"loop_count","name":"loop_count","type":"INT","widget":{"name":"loop_count"}},{"link":313,"localized_name":"filename_prefix","name":"filename_prefix","type":"STRING","widget":{"name":"filename_prefix"}},{"link":null,"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":["yuv420p","yuva420p"],"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,"name":"trim_to_audio","type":"BOOLEAN","widget":{"name":"trim_to_audio"}}],"mode":0,"order":18,"outputs":[{"links":null,"localized_name":"Filenames","name":"Filenames","type":"VHS_FILENAMES"}],"pos":[257.5610262183992,4906.187323367876],"properties":{"Node 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16:9 | 1216 x 672 |\n| 0.9 | 16:9 | 1280 x 736 |\n| 0.98 | 16:9 | 1344 x 768 |\n| 1.0 | 16:9 | 1376 x 768 |\n| 1.2 | 16:9 | 1504 x 832 |\n| 1.5 | 16:9 | 1664 x 928 |\n| 1.8 | 16:9 | 1824 x 1024 |\n| 2.0 | 16:9 | 1920 x 1088 |\n"],"widgets_values_named":{"text":"| megapixels | Aspect | Output (multiple=32) |\n|---|---|---|\n| 0.2 | 16:9 | 608 x 352 |\n| 0.3 | 16:9 | 736 x 416 |\n| 0.4 | 16:9 | 864 x 480 |\n| 0.5 | 16:9 | 960 x 544 |\n| 0.6 | 16:9 | 1056 x 608 |\n| 0.7 | 16:9 | 1152 x 640 |\n| 0.8 | 16:9 | 1216 x 672 |\n| 0.9 | 16:9 | 1280 x 736 |\n| 0.98 | 16:9 | 1344 x 768 |\n| 1.0 | 16:9 | 1376 x 768 |\n| 1.2 | 16:9 | 1504 x 832 |\n| 1.5 | 16:9 | 1664 x 928 |\n| 1.8 | 16:9 | 1824 x 1024 |\n| 2.0 | 16:9 | 1920 x 1088 |\n"}},{"bgcolor":"#3f5159","color":"#2a363b","flags":{},"id":105,"inputs":[{"link":null,"name":"prompt","type":"STRING","widget":{"name":"prompt"}},{"link":219,"name":"width","type":"INT","widget":{"name":"width"}},{"link":220,"name":"height","type":"INT","widget":{"name":"height"}},{"label":"duration","link":null,"name":"value_1","type":"FLOAT","widget":{"name":"value_1"}},{"link":null,"name":"noise_seed","type":"INT","widget":{"name":"noise_seed"}},{"link":null,"name":"unet_name","type":"COMBO","widget":{"name":"unet_name"}},{"link":null,"name":"clip_name","type":"COMBO","widget":{"name":"clip_name"}},{"link":null,"name":"vae_name","type":"COMBO","widget":{"name":"vae_name"}},{"label":"audio_vae","link":null,"name":"vae_name_1","type":"COMBO","widget":{"name":"vae_name_1"}},{"link":null,"name":"model_name","type":"COMBO","widget":{"name":"model_name"}},{"link":null,"name":"preset_prompt","type":"COMBO","widget":{"name":"preset_prompt"}},{"link":null,"name":"keep_last_prompt","type":"BOOLEAN","widget":{"name":"keep_last_prompt"}},{"link":null,"name":"steps","type":"INT","widget":{"name":"steps"}},{"link":288,"name":"ref_images.ref_image_0","shape":7,"type":"IMAGE"},{"link":289,"name":"ref_images.ref_image_1","shape":7,"type":"IMAGE"},{"link":338,"name":"ref_images.ref_image_2","shape":7,"type":"IMAGE"},{"link":339,"name":"ref_images.ref_image_3","shape":7,"type":"IMAGE"}],"mode":0,"order":11,"outputs":[{"links":[194],"localized_name":"VIDEO","name":"VIDEO","type":"VIDEO"},{"links":[324],"name":"IMAGE","type":"IMAGE"},{"links":[242],"name":"AUDIO","type":"AUDIO"},{"label":"PROMPT","links":[253],"name":"output","type":"*"}],"pos":[-855.6931547397983,4848.75590129788],"properties":{"cnr_id":"comfy-core","previewExposures":[],"ue_properties":{"input_ue_unconnectable":{},"version":"7.8","widget_ue_connectable":{"height":true,"vae_name_1":true,"value_1":true,"width":true}},"ver":"0.30.1"},"size":[643.734375,522],"type":"4c314f31-ecda-4b08-ae98-faaba1bf613f","widgets_values":["",1344,768,10,940474736217576,"minimax_h3_ref2va_pruned_int8_convrot.safetensors","qwen3vl_32b_heretic_minimax_h3_nvfp4.safetensors","minimax_h3_video_vae_fp16.safetensors","minimax_h3_audio_vae_fp32.safetensors","Qwen3.5-4B-heretic-v2","🎞️ MiniMax H3 NSFW R2VA (10s)",false,8],"widgets_values_named":{"clip_name":"qwen3vl_32b_heretic_minimax_h3_nvfp4.safetensors","height":768,"keep_last_prompt":false,"model_name":"Qwen3.5-4B-heretic-v2","noise_seed":940474736217576,"preset_prompt":"🎞️ MiniMax H3 NSFW R2VA (10s)","prompt":"","steps":8,"unet_name":"minimax_h3_ref2va_pruned_int8_convrot.safetensors","vae_name":"minimax_h3_video_vae_fp16.safetensors","vae_name_1":"minimax_h3_audio_vae_fp32.safetensors","value_1":10,"width":1344}},{"bgcolor":"#335","color":"#223","flags":{},"id":167,"inputs":[{"link":null,"localized_name":"图像","name":"image","type":"COMBO","widget":{"name":"image"}},{"link":null,"localized_name":"选择文件上传","name":"upload","type":"IMAGEUPLOAD","widget":{"name":"upload"}}],"mode":0,"order":3,"outputs":[{"links":[338],"localized_name":"图像","name":"IMAGE","type":"IMAGE"},{"links":null,"localized_name":"遮罩","name":"MASK","type":"MASK"}],"pos":[-2116.3012898941056,4868.012359571073],"properties":{"Node name for S&R":"LoadImage","cnr_id":"comfy-core","ue_properties":{"input_ue_unconnectable":{},"version":"7.8","widget_ue_connectable":{}},"ver":"0.30.1"},"size":[437.84375,707.03125],"title":"REFIMAGE3","type":"LoadImage","widgets_values":["MBD_BNTR_139.jpg","image"],"widgets_values_named":{"image":"MBD_BNTR_139.jpg","upload":"image"}},{"bgcolor":"#3f5159","color":"#2a363b","flags":{},"id":168,"inputs":[{"link":null,"localized_name":"图像","name":"image","type":"COMBO","widget":{"name":"image"}},{"link":null,"localized_name":"选择文件上传","name":"upload","type":"IMAGEUPLOAD","widget":{"name":"upload"}}],"mode":0,"order":4,"outputs":[{"links":[339],"localized_name":"图像","name":"IMAGE","type":"IMAGE"},{"links":null,"localized_name":"遮罩","name":"MASK","type":"MASK"}],"pos":[-1654.4132500639178,4864.904430607383],"properties":{"Node name for 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S&R":"LoadImage","cnr_id":"comfy-core","ue_properties":{"input_ue_unconnectable":{},"version":"7.8","widget_ue_connectable":{}},"ver":"0.30.1"},"size":[455.21875,679.765625],"title":"REFIMAGE2","type":"LoadImage","widgets_values":["MBD_BNTR_137.jpg","image"],"widgets_values_named":{"image":"MBD_BNTR_137.jpg","upload":"image"}},{"bgcolor":"#3f5159","color":"#2a363b","flags":{},"id":135,"inputs":[],"mode":0,"order":6,"outputs":[],"pos":[-2594.079790901774,5646.27086660425],"properties":{"ue_properties":{"input_ue_unconnectable":{},"version":"7.8","widget_ue_connectable":{}}},"size":[932.390625,2160.21875],"title":"USER HINTS","type":"MarkdownNote","widgets_values":["# 🎬 MiniMax H3 — User Hints\n\n> 💡 You can write your prompt in **any language**. Qwen3-VL analyzes it, translates it, and converts it into the official MiniMax H3 prompt format.\n\n---\n\n## 🗂️ Choose the right workflow\n\n| Workflow | Mode | Required inputs |\n|---|---|---|\n| `MiniMaxH3-T2VA-Qwen3.5.json` | 📝 **T2VA** | text only |\n| `MiniMaxH3-I2VA-Qwen3.5.json` | 🖼️ **I2VA** | text + first-frame image |\n| `MiniMaxH3-R2VA-Qwen3.5.json` | 🎞️ **R2VA / Reference** | text + reference image/video/audio for style, character, motion, or camera |\n\n> 🧩 **FL2VA** (first frame + last frame) and **L2VA** (last frame only) are handled automatically by the preset when you load more than one image or clearly indicate the last frame.\n\n---\n\n## ✍️ What to write in the prompt\n\nDescribe the scene naturally. Be clear about the concepts below — the model handles the rest.\n\n### 🎨 1. Visual style *(required — put it first)*\n\n- `photorealistic` 📷 · `cinematic` 🎥 · `live-action` 🎬\n- `anime` 🌸 · `cartoon` 🖍️ · `3D CG` 🧊 · `claymation` 🏺\n- `vintage film` 📼 · `watercolor` 🎨 · `fantasy` ✨ · `artistic portrait` 🖼️\n\n> Example: *\"A photorealistic cinematic scene in a bedroom with warm light...\"*\n\n### 👥 2. Subjects\n\n- Number, gender, apparent age, physical appearance, hair, makeup, clothing (or nudity)\n- Initial position, gaze, expression\n\n### 🏃 3. Action / motion\n\n- What happens and in what order\n- Speed: slow 🐢 · rhythmic 🎵 · accelerating 🚀 · pause ⏸️\n- Interaction between characters: contact, gestures, movements\n\n### 📷 4. Camera\n\n- **Shot type**: `close-up` 🔍 · `medium shot` 🎥 · `wide shot` 🌅 · `POV` 👁️\n- **Motion**: `static shot` · `push in` / `pull out` · `pan left/right` · `tilt up/down` · `tracking shot` · `arc shot` · `zoom in/out`\n- **Speed & amplitude**: slow/fast, small amplitude/large amplitude\n\n> Example: *\"The camera starts with a static medium-wide shot, then slowly pushes in toward the face.\"*\n\n### 🌆 5. Environment & lighting\n\n- 📍 Location: bedroom, bathroom, couch, outdoor, night, neon, natural\n- 💡 Light: warm, cold, pink/red neon, windows, shadows\n- 🎨 Dominant color and atmosphere\n\n---\n\n## 🎧 6. Audio *(very important)*\n\nMiniMax H3 generates **native audio**. Explicitly state what you want to hear.\n\n### 🔊 Diegetic sounds *(present in the scene)*\n\nAlways described in the prompt. Be concrete:\n\n| Category | Examples |\n|---|---|\n| 🫁 Breathing | soft, heavy, gasping, rhythmic |\n| 😏 Vocal | moans, sighs, gasps, whimpers, whispers |\n| 💓 Body | heartbeat, skin-to-skin contact, body fluids |\n| 🛏️ Movement | fabric, bedding, sheets rustling |\n| 💋 Contact | kisses, licks, slaps, impacts |\n| 🌧️ Ambient | water, rain, distant traffic, room tone, wind |\n\n> Example: *\"Heavy breathing, soft moans, and the sound of sheets rustling.\"*\n\n### 🎵 Non-diegetic music *(background score)*\n\nBy default the preset outputs **`N/A`** — no background music is generated. 🚫🎵\n\nTo add music, you must **explicitly request it** and describe:\n\n- 🎼 **Genre**: R&B, ambient, synthwave, jazz, deep house, orchestral, lo-fi...\n- 🎸 **Instrumentation**: piano, strings, bass, synths, guitar, drums\n- ⏱️ **Tempo**: slow, moderate, fast\n- 📈 **Rhythm & dynamics**: when it enters, builds, fades\n\n> Examples:\n> - *\"Add a slow R&B background track with deep bass and atmospheric synths.\"*\n> - *\"Soft piano notes at a slow tempo, joined by sustained low strings that gradually increase in volume before fading out.\"*\n> - *\"No music, only realistic sounds from the scene.\"* ← this is the **default** behavior\n\n> 💡 **Tip**: For NSFW scenes, diegetic sounds alone usually feel more realistic. Add music only when it clearly supports the mood.\n\n---\n\n## ⏱️ 7. Duration\n\nPick the matching QwenVL-Mod preset:\n\n| Preset | Duration |\n|---|---|\n| 🎬 MiniMax H3 NSFW (5s) | 5 seconds |\n| 🎬 MiniMax H3 NSFW (10s) | 10 seconds |\n| 🎬 MiniMax H3 NSFW (15s) | 15 seconds |\n\n> MiniMax H3 supports clips from **4 to 15 seconds**.\n\n---\n\n## 📐 Recommended resolution\n\nMiniMax H3 is trained with the **short edge at 768 px** and the long edge **capped at 1344 px**, in multiples of 32.\n\n| Resolution | Orientation |\n|---|---|\n| `768x1344` | 📱 portrait |\n| `896x1152` | 📱 portrait |\n| `960x1280` | 📱 portrait |\n| `1024x1024` | ⬛ square |\n\n> ⚠️ **Avoid generating directly at 1080p.** Generate at native resolution, then use the bundled TensorRT upscale/interpolation nodes.\n\n---\n\n## 📝 Example prompt\n\n> *\"A photorealistic cinematic scene in a bedroom with warm lamplight. A young dark-haired woman lies on the bed wearing only white sheets. A man approaches slowly; the camera does a gentle push in from wide shot to close-up. He kisses her neck, she closes her eyes and sighs. Audio: heavy breathing, whispers, sheets rustling. No background music. Intimate, realistic style, warm light.\"*\n\n---\n\n## 🚫 What NOT to do\n\n- ❌ Do not request minors, non-consent, or illegal acts — the preset refuses automatically\n- ❌ Do not add lighting or effects inconsistent with the described environment\n- ❌ Do not request durations longer than 15 seconds\n- ❌ Do not request 1080p native generation — use the recommended resolutions and upscale after\n"],"widgets_values_named":{"text":"# 🎬 MiniMax H3 — User Hints\n\n> 💡 You can write your prompt in **any language**. Qwen3-VL analyzes it, translates it, and converts it into the official MiniMax H3 prompt format.\n\n---\n\n## 🗂️ Choose the right workflow\n\n| Workflow | Mode | Required inputs |\n|---|---|---|\n| `MiniMaxH3-T2VA-Qwen3.5.json` | 📝 **T2VA** | text only |\n| `MiniMaxH3-I2VA-Qwen3.5.json` | 🖼️ **I2VA** | text + first-frame image |\n| `MiniMaxH3-R2VA-Qwen3.5.json` | 🎞️ **R2VA / Reference** | text + reference image/video/audio for style, character, motion, or camera |\n\n> 🧩 **FL2VA** (first frame + last frame) and **L2VA** (last frame only) are handled automatically by the preset when you load more than one image or clearly indicate the last frame.\n\n---\n\n## ✍️ What to write in the prompt\n\nDescribe the scene naturally. Be clear about the concepts below — the model handles the rest.\n\n### 🎨 1. Visual style *(required — put it first)*\n\n- `photorealistic` 📷 · `cinematic` 🎥 · `live-action` 🎬\n- `anime` 🌸 · `cartoon` 🖍️ · `3D CG` 🧊 · `claymation` 🏺\n- `vintage film` 📼 · `watercolor` 🎨 · `fantasy` ✨ · `artistic portrait` 🖼️\n\n> Example: *\"A photorealistic cinematic scene in a bedroom with warm light...\"*\n\n### 👥 2. Subjects\n\n- Number, gender, apparent age, physical appearance, hair, makeup, clothing (or nudity)\n- Initial position, gaze, expression\n\n### 🏃 3. Action / motion\n\n- What happens and in what order\n- Speed: slow 🐢 · rhythmic 🎵 · accelerating 🚀 · pause ⏸️\n- Interaction between characters: contact, gestures, movements\n\n### 📷 4. Camera\n\n- **Shot type**: `close-up` 🔍 · `medium shot` 🎥 · `wide shot` 🌅 · `POV` 👁️\n- **Motion**: `static shot` · `push in` / `pull out` · `pan left/right` · `tilt up/down` · `tracking shot` · `arc shot` · `zoom in/out`\n- **Speed & amplitude**: slow/fast, small amplitude/large amplitude\n\n> Example: *\"The camera starts with a static medium-wide shot, then slowly pushes in toward the face.\"*\n\n### 🌆 5. Environment & lighting\n\n- 📍 Location: bedroom, bathroom, couch, outdoor, night, neon, natural\n- 💡 Light: warm, cold, pink/red neon, windows, shadows\n- 🎨 Dominant color and atmosphere\n\n---\n\n## 🎧 6. Audio *(very important)*\n\nMiniMax H3 generates **native audio**. Explicitly state what you want to hear.\n\n### 🔊 Diegetic sounds *(present in the scene)*\n\nAlways described in the prompt. Be concrete:\n\n| Category | Examples |\n|---|---|\n| 🫁 Breathing | soft, heavy, gasping, rhythmic |\n| 😏 Vocal | moans, sighs, gasps, whimpers, whispers |\n| 💓 Body | heartbeat, skin-to-skin contact, body fluids |\n| 🛏️ Movement | fabric, bedding, sheets rustling |\n| 💋 Contact | kisses, licks, slaps, impacts |\n| 🌧️ Ambient | water, rain, distant traffic, room tone, wind |\n\n> Example: *\"Heavy breathing, soft moans, and the sound of sheets rustling.\"*\n\n### 🎵 Non-diegetic music *(background score)*\n\nBy default the preset outputs **`N/A`** — no background music is generated. 🚫🎵\n\nTo add music, you must **explicitly request it** and describe:\n\n- 🎼 **Genre**: R&B, ambient, synthwave, jazz, deep house, orchestral, lo-fi...\n- 🎸 **Instrumentation**: piano, strings, bass, synths, guitar, drums\n- ⏱️ **Tempo**: slow, moderate, fast\n- 📈 **Rhythm & dynamics**: when it enters, builds, fades\n\n> Examples:\n> - *\"Add a slow R&B background track with deep bass and atmospheric synths.\"*\n> - *\"Soft piano notes at a slow tempo, joined by sustained low strings that gradually increase in volume before fading out.\"*\n> - *\"No music, only realistic sounds from the scene.\"* ← this is the **default** behavior\n\n> 💡 **Tip**: For NSFW scenes, diegetic sounds alone usually feel more realistic. Add music only when it clearly supports the mood.\n\n---\n\n## ⏱️ 7. Duration\n\nPick the matching QwenVL-Mod preset:\n\n| Preset | Duration |\n|---|---|\n| 🎬 MiniMax H3 NSFW (5s) | 5 seconds |\n| 🎬 MiniMax H3 NSFW (10s) | 10 seconds |\n| 🎬 MiniMax H3 NSFW (15s) | 15 seconds |\n\n> MiniMax H3 supports clips from **4 to 15 seconds**.\n\n---\n\n## 📐 Recommended resolution\n\nMiniMax H3 is trained with the **short edge at 768 px** and the long edge **capped at 1344 px**, in multiples of 32.\n\n| Resolution | Orientation |\n|---|---|\n| `768x1344` | 📱 portrait |\n| `896x1152` | 📱 portrait |\n| `960x1280` | 📱 portrait |\n| `1024x1024` | ⬛ square |\n\n> ⚠️ **Avoid generating directly at 1080p.** Generate at native resolution, then use the bundled TensorRT upscale/interpolation nodes.\n\n---\n\n## 📝 Example prompt\n\n> *\"A photorealistic cinematic scene in a bedroom with warm lamplight. A young dark-haired woman lies on the bed wearing only white sheets. A man approaches slowly; the camera does a gentle push in from wide shot to close-up. He kisses her neck, she closes her eyes and sighs. Audio: heavy breathing, whispers, sheets rustling. No background music. Intimate, realistic style, warm light.\"*\n\n---\n\n## 🚫 What NOT to do\n\n- ❌ Do not request minors, non-consent, or illegal acts — the preset refuses automatically\n- ❌ Do not add lighting or effects inconsistent with the described environment\n- ❌ Do not request durations longer than 15 seconds\n- ❌ Do not request 1080p native generation — use the recommended resolutions and upscale after\n"}},{"bgcolor":"#335","color":"#223","flags":{},"id":127,"inputs":[{"link":326,"localized_name":"images","name":"images","type":"IMAGE"},{"link":244,"localized_name":"upscaler_trt_model","name":"upscaler_trt_model","type":"UPSCALER_TRT_MODEL"},{"link":null,"localized_name":"resize_to","name":"resize_to","type":"COMBO","widget":{"name":"resize_to"}},{"link":null,"localized_name":"scale","name":"scale","type":"COMBO","widget":{"name":"scale"}},{"link":null,"localized_name":"resize_width","name":"resize_width","shape":7,"type":"INT","widget":{"name":"resize_width"}},{"link":null,"localized_name":"resize_height","name":"resize_height","shape":7,"type":"INT","widget":{"name":"resize_height"}}],"mode":0,"order":17,"outputs":[{"links":[303],"localized_name":"upscaled_images","name":"upscaled_images","type":"IMAGE"}],"pos":[-144.83461482258096,5599.881709892433],"properties":{"Node name for S&R":"UpscalerTensorrt","aux_id":"huchukato/ComfyUI-Upscaler-TensorRT-Auto","cnr_id":"comfyui-workflow-encrypt","ue_properties":{"input_ue_unconnectable":{},"version":"7.8","widget_ue_connectable":{}},"ver":"6b8951d7413b41d9639be91888ef65b63827b930"},"size":[294.8125,190],"type":"UpscalerTensorrt","widgets_values":["2K","2",2048,2048],"widgets_values_named":{"resize_height":2048,"resize_to":"2K","resize_width":2048,"scale":"2"}},{"bgcolor":"#335","color":"#223","flags":{},"id":128,"inputs":[{"link":null,"localized_name":"model","name":"model","type":"COMBO","widget":{"name":"model"}},{"link":null,"localized_name":"precision","name":"precision","type":"COMBO","widget":{"name":"precision"}}],"mode":0,"order":7,"outputs":[{"links":[244],"localized_name":"upscaler_trt_model","name":"upscaler_trt_model","type":"UPSCALER_TRT_MODEL"}],"pos":[-146.30273675238934,5443.981781545322],"properties":{"Node name for S&R":"LoadUpscalerTensorrtModel","aux_id":"huchukato/ComfyUI-Upscaler-TensorRT-Auto","cnr_id":"comfyui-workflow-encrypt","ue_properties":{"input_ue_unconnectable":{},"version":"7.8","widget_ue_connectable":{}},"ver":"6b8951d7413b41d9639be91888ef65b63827b930"},"size":[295.40625,114],"type":"LoadUpscalerTensorrtModel","widgets_values":["2xLexicaRRDBNet_Sharp","fp16"],"widgets_values_named":{"model":"2xLexicaRRDBNet_Sharp","precision":"fp16"}},{"bgcolor":"#533","color":"#322","flags":{},"id":150,"inputs":[],"mode":0,"order":8,"outputs":[],"pos":[-2592.6530763226174,4117.605266946247],"properties":{"ue_properties":{"input_ue_unconnectable":{},"version":"7.8","widget_ue_connectable":{}}},"size":[443.390625,824.328125],"title":"Note: MiniMax H3","type":"MarkdownNote","widgets_values":["## MiniMax H3\n\n[MiniMax H3](https://www.minimax.io/blog/minimax-h3) is MiniMax's general-purpose, omni-modal generation model. It jointly understands text, image, video, and audio, and generates video with **native stereo audio**: voice, sound effects, and music are modeled jointly in a single forward pass, not layered on afterward. Output is 768p, 24fps, and up to about 15 seconds. The open weights are 768p only. 2K comes from MiniMax's hosted H3-Regenerate-2K API and is not available locally.\n\n## ComfyUI links\n- [ComfyUI#15224](https://github.com/Comfy-Org/ComfyUI/pull/15224)\n- [🤗 Comfy-Org/MiniMax-H3](https://huggingface.co/Comfy-Org/MiniMax-H3)\n\n## About this workflow\n\nThis template runs the **reference-to-video (ref2va)** task using the `MiniMaxH3ReferenceToVideo` node. It takes any mix of reference images, videos, and standalone audio, and weaves them into the generation to lock in a character's identity, a style, a motion, a camera move, or a voice.\n\n**Key inputs**\n\n- **ref_images / ref_videos / ref_video_audios / ref_audios**: up to 9 reference images, 3 reference videos (each may carry its own paired soundtrack), and 3 standalone reference audio clips\n- **prompt**: reference the inputs by tag, in the exact order they were connected, for example ``, `