{ "id": "42476cc0-ba47-4042-ad72-3802b573afb3", "revision": 0, "last_node_id": 220, "last_link_id": 393, "nodes": [ { "id": 92, "type": "SaveVideo", "pos": [ 1275.5521965719986, 4499.325535955995 ], "size": [ 612.3666583336471, 1093.0958197921766 ], "flags": {}, "order": 43, "mode": 0, "inputs": [ { "name": "video", "type": "VIDEO", "link": 260 } ], "outputs": [ { "name": "video", "type": "VIDEO", "links": null } ], "properties": { "cnr_id": "comfy-core", "ver": "0.29.0", "Node name for S&R": "SaveVideo", "ue_properties": { "widget_ue_connectable": {}, "version": "7.5.1", "input_ue_unconnectable": {} } }, "widgets_values": [ "video/MiniMax_H3", "auto", "auto", "auto" ], "widgets_values_named": { "filename_prefix": "video/MiniMax_H3", "format": "auto", "format.codec": "auto", "codec": "auto" } }, { "id": 115, "type": "ResolutionSelector", "pos": [ -862.4467856615897, 5609.97531007646 ], "size": [ 248.46875, 161.828125 ], "flags": {}, "order": 18, "mode": 0, "showAdvanced": false, "inputs": [], "outputs": [ { "name": "width", "type": "INT", "links": [ 285, 349, 382 ] }, { "name": "height", "type": "INT", "links": [ 286, 350, 383 ] } ], "title": "Resolution Selector (Size)", "properties": { "cnr_id": "comfy-core", "ver": "0.29.0", "Node name for S&R": "ResolutionSelector", "ue_properties": { "widget_ue_connectable": {}, "version": "7.5.1", "input_ue_unconnectable": {} } }, "widgets_values": [ "9:16 (Portrait Widescreen)", 0.1, 32 ], "widgets_values_named": { "aspect_ratio": "9:16 (Portrait Widescreen)", "megapixels": 0.1, "multiple": 32 }, "color": "#322", "bgcolor": "#533" }, { "id": 116, "type": "MarkdownNote", "pos": [ -2033.7082424262605, 4829.138252930259 ], "size": [ 450, 860.71875 ], "flags": {}, "order": 0, "mode": 0, "inputs": [], "outputs": [], "title": "Note: MiniMax H3", "properties": { "ue_properties": { "widget_ue_connectable": {}, "version": "7.5.1", "input_ue_unconnectable": {} } }, "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 up to 2K resolution, 24fps, and up to about 15 seconds.\n\nH3 removes the usual task boundaries between generation modes. Text-to-video, image-to-video, first/last-frame control, and reference-driven generation (character, motion, camera, voice, style) are all handled by one model instead of separate expert pipelines.\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 ``, `