{ "id": "e3f2b845-8f2c-4b5a-9caf-eac1029d3e7e", "revision": 0, "last_node_id": 148, "last_link_id": 291, "nodes": [ { "id": 92, "type": "SaveVideo", "pos": [ 1880, 4310 ], "size": [ 900, 850 ], "flags": {}, "order": 23, "mode": 0, "inputs": [ { "localized_name": "video", "name": "video", "type": "VIDEO", "link": 260 }, { "localized_name": "filename_prefix", "name": "filename_prefix", "type": "STRING", "widget": { "name": "filename_prefix" }, "link": null }, { "localized_name": "format", "name": "format", "type": "COMFY_DYNAMICCOMBO_V3", "widget": { "name": "format" }, "link": null }, { "localized_name": "codec", "name": "format.codec", "type": "COMFY_DYNAMICCOMBO_V3", "widget": { "name": "format.codec" }, "link": null }, { "localized_name": "codec", "name": "codec", "shape": 7, "type": "COMFY_DYNAMICCOMBO_V3", "widget": { "name": "codec" }, "link": null } ], "outputs": [ { "localized_name": "video", "name": "video", "type": "VIDEO", "links": null } ], "properties": { "Node name for S&R": "SaveVideo", "cnr_id": "comfy-core", "ver": "0.33.0", "ue_properties": { "widget_ue_connectable": {}, "version": "7.8", "input_ue_unconnectable": {} } }, "widgets_values": [ "syntheticlabs-examples-20261102-video/video_fasth3_ominiref_r2v", "auto", "auto", "auto" ], "widgets_values_named": { "filename_prefix": "video/FastH3_OmniRef", "format": "auto", "format.codec": "auto", "codec": "auto" }, "shape": 1 }, { "id": 115, "type": "ResolutionSelector", "pos": [ -1310, 5310 ], "size": [ 270, 200 ], "flags": {}, "order": 0, "mode": 0, "showAdvanced": false, "inputs": [ { "localized_name": "aspect_ratio", "name": "aspect_ratio", "type": "COMBO", "widget": { "name": "aspect_ratio" }, "link": null }, { "localized_name": "megapixels", "name": "megapixels", "type": "FLOAT", "widget": { "name": "megapixels" }, "link": null }, { "localized_name": "multiple", "name": "multiple", "type": "INT", "widget": { "name": "multiple" }, "link": null }, { "localized_name": "preview", "name": "preview", "shape": 7, "type": "RESOLUTION_PREVIEW", "widget": { "name": "preview" }, "link": null } ], "outputs": [ { "localized_name": "width", "name": "width", "type": "INT", "links": [ 276 ] }, { "localized_name": "height", "name": "height", "type": "INT", "links": [ 277 ] } ], "title": "Resolution Selector (Size)", "properties": { "Node name for S&R": "ResolutionSelector", "cnr_id": "comfy-core", "ver": "0.33.0", "ue_properties": { "widget_ue_connectable": {}, "version": "7.8", "input_ue_unconnectable": {} } }, "widgets_values": [ "16:9 (Widescreen)", 1, 32 ], "widgets_values_named": { "aspect_ratio": "16:9 (Widescreen)", "megapixels": 1, "multiple": 32 }, "color": "#322", "bgcolor": "#533", "shape": 1 }, { "id": 116, "type": "MarkdownNote", "pos": [ -1385.6550323816036, 4215.8122258686435 ], "size": [ 570, 880 ], "flags": { "collapsed": true }, "order": 1, "mode": 0, "inputs": [], "outputs": [], "title": "Note: Fast Video FastH3", "properties": { "ue_properties": { "widget_ue_connectable": {}, "version": "7.8", "input_ue_unconnectable": {} } }, "widgets_values": [ "## FastVideo FastH3 OmniRef\n\n[FastH3 OmniRef](https://huggingface.co/FastVideo/FastH3-OmniRef-Comfy) is FastVideo's reference-to-video checkpoint on top of MiniMax H3: the distilled student (step 3500) trained with trajectory-based PDD and a joint DMD loss, so it renders synchronized video and audio in **8 sampling steps**. VSA is trained on 128-token tiles; ComfyUI runs 64-token tiles and the difference is not visible, since the larger tile only speeds up the native kernel on datacenter GPUs.\n\n## About this workflow\n\nThis template runs the **reference-to-video (ref2va)** task with the `MiniMaxH3ReferenceToVideo` node. Reference images are woven into the packed sequence, so a character, a product or a location can be reused across shots while the model still generates the performance and the audio.\n\n**Key inputs**\n\n- **ref_images**: up to 9 reference images; two are wired here (`` identity, `` location). Add more slots on the node if you need them.\n- **ref_videos / ref_audios**: optional, up to 3 each. A reference video can carry its own soundtrack.\n- **prompt**: address the inputs by tag in connection order (``, ``, …), then describe the shot, the motion and one line of dialogue; the audio follows the description.\n- **ref_image_size**: `match` downscales references to the output resolution (faster), `max` keeps up to a 2048px short edge for stronger identity fidelity at the cost of speed.\n- **Duration → length**: the `Float (Duration)` value is converted to the 17k+5 frame grid the model expects (5 s = 124 frames at 24fps).\n\n## Required settings\n\n- **Model Sparse Attention** must stay on method `vsa` with `keep_percent` 10: FastH3 checkpoints are trained with VSA and must never run plain block-sparse attention. `sol-attn` and `sla` are not compatible.\n- **Model Attention Backend** only picks the dense fallback used before `start_percent` and under `min_tokens`; `comfy kitchen attention` is the int8 kernel.\n- **MiniMaxH3SigmaShift** 12 / 3 is this checkpoint's video / audio shift. The FastH3 V2 text-to-video recipe (video shift 10) is not an OmniRef recipe, so do not copy it here.\n\n## Checkpoints\n\nTwo diffusion files are published for this model: the int8 convrot export used here (22.2 GB) and a bf16 export (44.2 GB). Load exactly one of them; the text encoders and VAEs are shared with the FastH3 V2 packaging. The NVFP4 AWQ option in the text encoder folder is a text encoder, not an NVFP4 export of this diffusion model.\n\n## Scope\n\nThis checkpoint is distilled for reference-to-video. Plain text-to-video works but is not its strength; use **FastVideo FastH3: Text to Video** or **Image to Video** for those tasks." ], "widgets_values_named": { "text": "## FastVideo FastH3 OmniRef\n\n[FastH3 OmniRef](https://huggingface.co/FastVideo/FastH3-OmniRef-Comfy) is FastVideo's reference-to-video checkpoint on top of MiniMax H3: the distilled student (step 3500) trained with trajectory-based PDD and a joint DMD loss, so it renders synchronized video and audio in **8 sampling steps**. VSA is trained on 128-token tiles; ComfyUI runs 64-token tiles and the difference is not visible, since the larger tile only speeds up the native kernel on datacenter GPUs.\n\n## About this workflow\n\nThis template runs the **reference-to-video (ref2va)** task with the `MiniMaxH3ReferenceToVideo` node. Reference images are woven into the packed sequence, so a character, a product or a location can be reused across shots while the model still generates the performance and the audio.\n\n**Key inputs**\n\n- **ref_images**: up to 9 reference images; two are wired here (`` identity, `` location). Add more slots on the node if you need them.\n- **ref_videos / ref_audios**: optional, up to 3 each. A reference video can carry its own soundtrack.\n- **prompt**: address the inputs by tag in connection order (``, ``, …), then describe the shot, the motion and one line of dialogue; the audio follows the description.\n- **ref_image_size**: `match` downscales references to the output resolution (faster), `max` keeps up to a 2048px short edge for stronger identity fidelity at the cost of speed.\n- **Duration → length**: the `Float (Duration)` value is converted to the 17k+5 frame grid the model expects (5 s = 124 frames at 24fps).\n\n## Required settings\n\n- **Model Sparse Attention** must stay on method `vsa` with `keep_percent` 10: FastH3 checkpoints are trained with VSA and must never run plain block-sparse attention. `sol-attn` and `sla` are not compatible.\n- **Model Attention Backend** only picks the dense fallback used before `start_percent` and under `min_tokens`; `comfy kitchen attention` is the int8 kernel.\n- **MiniMaxH3SigmaShift** 12 / 3 is this checkpoint's video / audio shift. The FastH3 V2 text-to-video recipe (video shift 10) is not an OmniRef recipe, so do not copy it here.\n\n## Checkpoints\n\nTwo diffusion files are published for this model: the int8 convrot export used here (22.2 GB) and a bf16 export (44.2 GB). Load exactly one of them; the text encoders and VAEs are shared with the FastH3 V2 packaging. The NVFP4 AWQ option in the text encoder folder is a text encoder, not an NVFP4 export of this diffusion model.\n\n## Scope\n\nThis checkpoint is distilled for reference-to-video. Plain text-to-video works but is not its strength; use **FastVideo FastH3: Text to Video** or **Image to Video** for those tasks." }, "color": "#222", "bgcolor": "#000", "shape": 1 }, { "id": 119, "type": "VAELoader", "pos": [ -1310, 4790 ], "size": [ 640, 100 ], "flags": {}, "order": 2, "mode": 0, "inputs": [ { "localized_name": "vae_name", "name": "vae_name", "type": "COMBO", "widget": { "name": "vae_name" }, "link": null } ], "outputs": [ { "localized_name": "VAE", "name": "VAE", "type": "VAE", "links": [ 251, 273 ] } ], "properties": { "Node name for S&R": "VAELoader", "cnr_id": "comfy-core", "ver": "0.33.0", "models": [ { "name": "minimax_h3_video_vae_int8_convrot.safetensors", "url": "https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/vae/minimax_h3_video_vae_int8_convrot.safetensors", "directory": "vae" } ], "ue_properties": { "widget_ue_connectable": {}, "version": "7.8", "input_ue_unconnectable": {} } }, "widgets_values": [ "minimax_h3_video_vae_int8_convrot.safetensors" 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