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"widgets_values_named": { "noise_seed": 2026103101, "control_after_generate": "fixed" } }, { "id": 118, "type": "KSamplerSelect", "pos": [ 3550, 440 ], "size": [ 390, 58 ], "flags": {}, "order": 8, "mode": 0, "inputs": [ { "localized_name": "取樣器名稱", "name": "sampler_name", "type": "COMBO", "widget": { "name": "sampler_name" }, "link": null } ], "outputs": [ { "localized_name": "取樣器", "name": "SAMPLER", "type": "SAMPLER", "links": [ 26 ] } ], "properties": { "Node name for S&R": "KSamplerSelect" }, "widgets_values": [ "euler" ], "widgets_values_named": { "sampler_name": "euler" } }, { "id": 119, "type": "ManualSigmas", "pos": [ 3550, 600 ], "size": [ 390, 58 ], "flags": {}, "order": 9, "mode": 0, "inputs": [ { "localized_name": "sigmas", "name": "sigmas", "type": "STRING", "widget": { "name": "sigmas" }, "link": null } ], "outputs": [ { "localized_name": "Sigma 值", "name": "SIGMAS", "type": "SIGMAS", "links": [ 27 ] } ], "title": "Regenerate sigmas: 1 step (3-step recipe in UI Note)", "properties": { "Node name for S&R": "ManualSigmas" }, "widgets_values": [ "0.666667, 0" ], "widgets_values_named": { "sigmas": "0.666667, 0" } }, { "id": 120, "type": "SamplerCustomAdvanced", "pos": [ 3990, 300 ], "size": [ 390, 106 ], "flags": {}, "order": 28, "mode": 0, "inputs": [ { "localized_name": "雜訊", "name": "noise", "type": "NOISE", "link": 24 }, { "localized_name": "引導器", "name": "guider", "type": "GUIDER", "link": 25 }, { "localized_name": "取樣器", "name": "sampler", "type": "SAMPLER", "link": 26 }, { "localized_name": "Sigma 值", "name": "sigmas", "type": "SIGMAS", "link": 27 }, { "localized_name": "latent 影像", "name": "latent_image", "type": "LATENT", "link": 28 } ], "outputs": [ { "localized_name": "輸出", "name": "output", "type": "LATENT", "links": [ 29 ] }, { "localized_name": "去雜訊輸出", "name": "denoised_output", "type": "LATENT", "links": null } ], "properties": { "Node name for S&R": "SamplerCustomAdvanced" } }, { "id": 121, "type": "LTXVSeparateAVLatent", "pos": [ 4430, 300 ], "size": [ 390, 46 ], "flags": {}, "order": 29, "mode": 0, "inputs": [ { "localized_name": "av_latent", "name": "av_latent", "type": "LATENT", "link": 29 } ], "outputs": [ { "localized_name": "video_latent", "name": "video_latent", "type": "LATENT", "links": [ 30 ] }, { "localized_name": "audio_latent", "name": "audio_latent", "type": "LATENT", "links": null } ], "properties": { "Node name for S&R": "LTXVSeparateAVLatent" } }, { "id": 122, "type": "VAEDecode", "pos": [ 4870, 300 ], "size": [ 390, 46 ], "flags": {}, "order": 30, "mode": 0, "inputs": [ { "localized_name": "samples", "name": "samples", "type": "LATENT", "link": 30 }, { "localized_name": "vae", "name": "vae", "type": "VAE", "link": 31 } ], "outputs": [ { "localized_name": "影像", "name": "IMAGE", "type": "IMAGE", "links": [ 32 ] } ], "properties": { "Node name for S&R": "VAEDecode" } }, { "id": 123, "type": "ImageCrop", "pos": [ 5310, 300 ], "size": [ 390, 130 ], "flags": {}, "order": 31, "mode": 0, "inputs": [ { "localized_name": "影像", "name": "image", "type": "IMAGE", "link": 32 }, { "localized_name": "寬度", "name": "width", "type": "INT", "widget": { "name": "width" }, "link": null }, { "localized_name": "高度", "name": "height", "type": "INT", "widget": { "name": "height" }, "link": null }, { "localized_name": "X 座標", "name": "x", "type": "INT", "widget": { "name": "x" }, "link": null }, { "localized_name": "Y 座標", "name": "y", "type": "INT", "widget": { "name": "y" }, "link": null } ], "outputs": [ { "localized_name": "影像", "name": "IMAGE", "type": "IMAGE", "links": [ 33 ] } ], "properties": { "Node name for S&R": "ImageCrop" }, "widgets_values": [ 2560, 1440, 0, 0 ], "widgets_values_named": { "width": 2560, "height": 1440, "x": 0, "y": 0 } }, { "id": 124, "type": "MiniMaxH3OutputTrimT8", "pos": [ 5750, 300 ], "size": [ 390, 146 ], "flags": {}, "order": 32, "mode": 0, "inputs": [ { "localized_name": "frames", "name": "frames", "type": "IMAGE", "link": 33 }, { "localized_name": "audio", "name": "audio", "shape": 7, "type": "AUDIO", "link": 34 }, { "localized_name": "start_seconds", "name": "start_seconds", "type": "FLOAT", "widget": { "name": "start_seconds" }, "link": null }, { "localized_name": "duration_seconds", "name": "duration_seconds", "type": "FLOAT", "widget": { "name": "duration_seconds" }, "link": null }, { "localized_name": "fps", "name": "fps", "type": "FLOAT", "widget": { "name": "fps" }, "link": null } ], "outputs": [ { "localized_name": "frames", "name": "frames", "type": "IMAGE", "links": [ 35 ] }, { "localized_name": "audio", "name": "audio", "type": "AUDIO", "links": [ 36 ] }, { "localized_name": "report_json", "name": "report_json", "type": "STRING", "links": null } ], "properties": { "Node name for S&R": "MiniMaxH3OutputTrimT8" }, "widgets_values": [ 0, 5.041666666666667, 24 ], "widgets_values_named": { "start_seconds": 0, "duration_seconds": 5.041666666666667, "fps": 24 } }, { "id": 125, "type": "CreateVideo", "pos": [ 6190, 300 ], "size": [ 390, 150 ], "flags": {}, "order": 33, "mode": 0, "inputs": [ { "localized_name": "影像", "name": "images", "type": "IMAGE", "link": 35 }, { "localized_name": "音訊", "name": "audio", "shape": 7, "type": "AUDIO", "link": 36 }, { "localized_name": "每秒影格數", "name": "fps", "type": "FLOAT", "widget": { "name": "fps" }, "link": null }, { "localized_name": "bit_depth", "name": "bit_depth", "shape": 7, "type": "COMBO", "widget": { "name": "bit_depth" }, "link": null }, { "localized_name": "color_space", "name": "color_space", "shape": 7, "type": "COMBO", "widget": { "name": "color_space" }, "link": null }, { "localized_name": "codec", "name": "codec", "shape": 7, "type": "COMBO", "widget": { "name": "codec" }, "link": null } ], "outputs": [ { "localized_name": "影片", "name": "VIDEO", "type": "VIDEO", "links": [ 37 ] } ], "properties": { "Node name for S&R": "CreateVideo" }, "widgets_values": [ 24, "auto", "sRGB", "none" ], "widgets_values_named": { "fps": 24, "bit_depth": "auto", "color_space": "sRGB", "codec": "none" } }, { "id": 126, "type": "SaveVideo", "pos": [ 6630, 300 ], "size": [ 390, 130 ], "flags": {}, "order": 34, "mode": 0, "inputs": [ { "localized_name": "video", "name": "video", "type": "VIDEO", "link": 37 }, { "localized_name": "檔名前綴", "name": "filename_prefix", "type": "STRING", "widget": { "name": "filename_prefix" }, "link": null }, { "localized_name": "格式", "name": "format", "type": "COMFY_DYNAMICCOMBO_V3", "widget": { "name": "format" }, "link": null }, { "localized_name": "編解碼器", "name": "format.codec", "type": "COMFY_DYNAMICCOMBO_V3", "widget": { "name": "format.codec" }, "link": null }, { "localized_name": "編碼器", "name": "codec", "shape": 7, "type": "COMFY_DYNAMICCOMBO_V3", "widget": { "name": "codec" }, "link": null }, { "localized_name": "encoding", "name": "codec.encoding", "shape": 7, "type": "COMFY_DYNAMICCOMBO_V3", "widget": { "name": "codec.encoding" }, "link": null } ], "outputs": [ { "localized_name": "video", "name": "video", "type": "VIDEO", "links": null } ], "properties": {}, "widgets_values": [ "Open-H3-Regenerate-2K", "mp4", "auto", "h264", "auto" ], "widgets_values_named": { "filename_prefix": "Open-H3-Regenerate-2K", "format": "mp4", "format.codec": "auto", "codec": "h264", "codec.encoding": "auto" } }, { "id": 201, "type": "Note", "pos": [ 470, -1220 ], "size": [ 1250, 1100 ], "flags": {}, "order": 10, "mode": 0, "inputs": [], "outputs": [], "title": "downloads", "properties": {}, "widgets_values": [ "Download sources / 下載來源 (curl -I -L: HTTP 200, 2026-10-30)\n\nOfficial Open-H3\nhttps://huggingface.co/Efficient-Large-Model/Open-H3-Regenerate-2K\n\nCommunity r128\nhttps://huggingface.co/father558/H3-Open-Regenerate-2K-ComfyUI-r128\n\nr128 weight\nhttps://huggingface.co/father558/H3-Open-Regenerate-2K-ComfyUI-r128/resolve/main/minimax_h3_open_regenerate_2k_r128_comfyui_bf16.safetensors\n\nComfy H3\nhttps://huggingface.co/Comfy-Org/MiniMax-H3\n\nFL2VA base\nhttps://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/diffusion_models/minimax_h3_fl2va_pruned_int8_convrot.safetensors\n\nVideo int8 VAE\nhttps://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/vae/minimax_h3_video_vae_int8_convrot.safetensors\n\nAudio VAE\nhttps://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/vae/minimax_h3_audio_vae_fp32.safetensors\n\nQwen text encoder\nhttps://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/text_encoders/qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors\n\nLatent upscaler\nhttps://huggingface.co/LBH-123-AI/Minimax_h3_latent_Upscaler/resolve/main/minimax_h3_latent_upscaler_3d_conv_v1/minimax_h3_latent_upscaler_3d_conv_v1_fp16.safetensors\n\nT8 nodes\nhttps://github.com/T8mars/comfyui-minimax-h3-audio-T8\n\nComplete setup needs SIX files. Existing H3 users add the r128 LoRA, learned upscaler and int8 video VAE. Keep original public filenames. See README.md for folders." ], "widgets_values_named": { "text": "Download sources / 下載來源 (curl -I -L: HTTP 200, 2026-10-30)\n\nOfficial Open-H3\nhttps://huggingface.co/Efficient-Large-Model/Open-H3-Regenerate-2K\n\nCommunity r128\nhttps://huggingface.co/father558/H3-Open-Regenerate-2K-ComfyUI-r128\n\nr128 weight\nhttps://huggingface.co/father558/H3-Open-Regenerate-2K-ComfyUI-r128/resolve/main/minimax_h3_open_regenerate_2k_r128_comfyui_bf16.safetensors\n\nComfy H3\nhttps://huggingface.co/Comfy-Org/MiniMax-H3\n\nFL2VA base\nhttps://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/diffusion_models/minimax_h3_fl2va_pruned_int8_convrot.safetensors\n\nVideo int8 VAE\nhttps://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/vae/minimax_h3_video_vae_int8_convrot.safetensors\n\nAudio VAE\nhttps://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/vae/minimax_h3_audio_vae_fp32.safetensors\n\nQwen text encoder\nhttps://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/text_encoders/qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors\n\nLatent upscaler\nhttps://huggingface.co/LBH-123-AI/Minimax_h3_latent_Upscaler/resolve/main/minimax_h3_latent_upscaler_3d_conv_v1/minimax_h3_latent_upscaler_3d_conv_v1_fp16.safetensors\n\nT8 nodes\nhttps://github.com/T8mars/comfyui-minimax-h3-audio-T8\n\nComplete setup needs SIX files. Existing H3 users add the r128 LoRA, learned upscaler and int8 video VAE. Keep original public filenames. See README.md for folders." }, "color": "#432", "bgcolor": "#653" }, { "id": 202, "type": "Note", "pos": [ 3550, -470 ], "size": [ 780, 500 ], "flags": {}, "order": 11, "mode": 0, "inputs": [], "outputs": [], "title": "schedule", "properties": {}, "widgets_values": [ "Regenerate: default ONE Euler step, sigmas 0.666667, 0.\nOfficial THREE-step schedule: replace ManualSigmas with\n0.909375, 0.857143, 0.666667, 0\nKeep r128 LoRA strength 1.0.\nDraft: 1344x768, length 121, 20 res_multistep/simple steps, CFG 1, 24 fps. Native H3 snaps to 124 frames; Output Trim saves the first 121 frames and matching draft audio." ], "widgets_values_named": { "text": "Regenerate: default ONE Euler step, sigmas 0.666667, 0.\nOfficial THREE-step schedule: replace ManualSigmas with\n0.909375, 0.857143, 0.666667, 0\nKeep r128 LoRA strength 1.0.\nDraft: 1344x768, length 121, 20 res_multistep/simple steps, CFG 1, 24 fps. Native H3 snaps to 124 frames; Output Trim saves the first 121 frames and matching draft audio." }, "color": "#432", "bgcolor": "#653" }, { "id": 203, "type": "Note", "pos": [ 40, 1330 ], "size": [ 780, 500 ], "flags": {}, "order": 12, "mode": 0, "inputs": [], "outputs": [], "title": "first_frame", "properties": {}, "widgets_values": [ "Optional first frame / 可選首幀\nDefault: text only; LoadImage is unconnected. Upload your own image, then connect its IMAGE output to first_frame on BOTH H3 conditioning nodes (draft AND 2K regenerate). This reproduces C+ conditioning.\n純文字直接執行。圖生影片請上傳首幀，將 LoadImage 的 IMAGE 同時連到草稿與重繪兩個 H3 節點的 first_frame。兩個 prompt 請保持相同。\nNo checkpoint load/save nodes. Draft audio is retained in the final MP4." ], "widgets_values_named": { "text": "Optional first frame / 可選首幀\nDefault: text only; LoadImage is unconnected. Upload your own image, then connect its IMAGE output to first_frame on BOTH H3 conditioning nodes (draft AND 2K regenerate). This reproduces C+ conditioning.\n純文字直接執行。圖生影片請上傳首幀，將 LoadImage 的 IMAGE 同時連到草稿與重繪兩個 H3 節點的 first_frame。兩個 prompt 請保持相同。\nNo checkpoint load/save nodes. Draft audio is retained in the final MP4." }, "color": "#432", "bgcolor": "#653" }, { "id": 204, "type": "Note", "pos": [ 40, -700 ], "size": [ 780, 500 ], "flags": {}, "order": 13, "mode": 0, "inputs": [], "outputs": [], "title": "install", "properties": {}, "widgets_values": [ "Required custom nodes: ONLY MiniMax H3 Audio T8\nhttps://github.com/T8mars/comfyui-minimax-h3-audio-T8\nIn ComfyUI/custom_nodes: git clone https://github.com/T8mars/comfyui-minimax-h3-audio-T8.git\nRestart ComfyUI; no additional pip required for these two nodes.\nT8 nodes: MiniMaxH3LearnedLatentUpscaleT8Advanced, MiniMaxH3OutputTrimT8.\nUse recent ComfyUI with native H3, BlockSparseAttention and ModelAttentionBackend, and compatible Comfy Kitchen GPU kernels. No SolAttn custom pack required.\nMeasured on RTX 5090 32 GB only; 24 GB has not been tested." ], "widgets_values_named": { "text": "Required custom nodes: ONLY MiniMax H3 Audio T8\nhttps://github.com/T8mars/comfyui-minimax-h3-audio-T8\nIn ComfyUI/custom_nodes: git clone https://github.com/T8mars/comfyui-minimax-h3-audio-T8.git\nRestart ComfyUI; no additional pip required for these two nodes.\nT8 nodes: MiniMaxH3LearnedLatentUpscaleT8Advanced, MiniMaxH3OutputTrimT8.\nUse recent ComfyUI with native H3, BlockSparseAttention and ModelAttentionBackend, and compatible Comfy Kitchen GPU kernels. No SolAttn custom pack required.\nMeasured on RTX 5090 32 GB only; 24 GB has not been tested." }, "color": "#432", "bgcolor": "#653" } ], "links": [ [ 1, 2, 0, 5, 0, "CLIP" ], [ 2, 3, 0, 5, 1, "VAE" ], [ 3, 21, 0, 7, 0, "MODEL" ], [ 4, 21, 0, 9, 0, "MODEL" ], [ 5, 5, 0, 9, 1, "CONDITIONING" ], [ 6, 8, 0, 10, 0, "NOISE" ], [ 7, 9, 0, 10, 1, "GUIDER" ], [ 8, 6, 0, 10, 2, "SAMPLER" ], [ 9, 7, 0, 10, 3, "SIGMAS" ], [ 10, 5, 1, 10, 4, "LATENT" ], [ 11, 1, 0, 20, 0, "MODEL" ], [ 12, 20, 0, 21, 0, "MODEL" ], [ 13, 10, 0, 105, 0, "LATENT" ], [ 14, 105, 1, 106, 0, "LATENT" ], [ 15, 4, 0, 106, 1, "VAE" ], [ 16, 10, 0, 107, 0, "LATENT" ], [ 17, 1, 0, 111, 0, "MODEL" ], [ 18, 111, 0, 112, 0, "MODEL" ], [ 19, 112, 0, 113, 0, "MODEL" ], [ 20, 2, 0, 115, 0, "CLIP" ], [ 21, 3, 0, 115, 1, "VAE" ], [ 22, 113, 0, 116, 0, "MODEL" ], [ 23, 115, 0, 116, 1, "CONDITIONING" ], [ 24, 117, 0, 120, 0, "NOISE" ], [ 25, 116, 0, 120, 1, "GUIDER" ], [ 26, 118, 0, 120, 2, "SAMPLER" ], [ 27, 119, 0, 120, 3, "SIGMAS" ], [ 28, 107, 0, 120, 4, "LATENT" ], [ 29, 120, 0, 121, 0, "LATENT" ], [ 30, 121, 0, 122, 0, "LATENT" ], [ 31, 3, 0, 122, 1, "VAE" ], [ 32, 122, 0, 123, 0, "IMAGE" ], [ 33, 123, 0, 124, 0, "IMAGE" ], [ 34, 106, 0, 124, 1, "AUDIO" ], [ 35, 124, 0, 125, 0, "IMAGE" ], [ 36, 124, 1, 125, 1, "AUDIO" ], [ 37, 125, 0, 126, 0, "VIDEO" ] ], "groups": [], "config": {}, "extra": { "ds": { "scale": 0.23, "offset": [ 200, 1300 ] }, "workflow_title": "Open-H3 Regenerate 2K — Text or First Frame" }, "version": 0.4 }