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"type": "FLOAT", "links": [ 834 ] }, { "name": "source_frame_count🟨", "type": "INT", "links": null }, { "name": "source_duration🟨", "type": "FLOAT", "links": null }, { "name": "source_width🟨", "type": "INT", "links": null }, { "name": "source_height🟨", "type": "INT", "links": null }, { "name": "loaded_fps🟦", "type": "FLOAT", "links": null }, { "name": "loaded_frame_count🟦", "type": "INT", "links": null }, { "name": "loaded_duration🟦", "type": "FLOAT", "links": null }, { "name": "loaded_width🟦", "type": "INT", "links": null }, { "name": "loaded_height🟦", "type": "INT", "links": null } ], "properties": { "Node name for S&R": "VHS_VideoInfo" }, "widgets_values": {} }, { "id": 19, "type": "SaveVideo", "pos": [ -2630, -500 ], "size": [ 700, 1400 ], "flags": {}, "order": 10, "mode": 0, "inputs": [ { "name": "video", "type": "VIDEO", "link": 839 } ], "outputs": [ { "name": "video", "type": "VIDEO", "links": null } ], "title": "Final Video", "properties": { "Node name for S&R": "SaveVideo", "cnr_id": "comfy-core", "ver": "0.3.59" }, "widgets_values": [ "video/Wan2.2_animate", "auto", "auto", "auto" ], "widgets_values_named": { "filename_prefix": "video/Wan2.2_animate", "format": "auto", "format.codec": "auto", "codec": "auto" } }, { "id": 352, "type": "MarkdownNote", "pos": [ -4940, -510 ], "size": [ 640, 1080 ], "flags": {}, "order": 4, "mode": 0, "inputs": [], "outputs": [], "properties": {}, "widgets_values": [ "This workflow takes an input video + reference image and generates an animated result using **Wan 2.2 Animate (Character Replace)**.\n\n> ⚠️ Works best when the **reference image is a person**. \nHuman subjects (clear face + body) produce the most stable and convincing results.\n\n## 1️⃣ Set Target Resolution (Top Left)\n\nUse the **Width** and **Height** nodes (top left) to define output resolution.\n\n**Recommended:**\n- ✅ Stay around **720p** (e.g. 720x720 or 832x480)\n- ⚠️ 1080p may error depending on VRAM\n- Higher resolutions = higher instability\n\n> Both the input video and reference image are **center-cropped** to match the target resolution.\n\n## 2️⃣ Control Frame Count\n\nIn the **Input Video** node, use:\n\n`frame_load_cap`\n\nto control how many frames are processed.\n\n**Recommended range:**\n- 🎯 **77–150 frames**\n\nLower = faster + less likely to crash\nHigher = heavier VRAM usage\n\n## 3️⃣ Wan 2.2 Animate Node\n\n- Connect `input_video`\n- Connect `reference_image`\n- Set FPS (30 is typical)\n- Add your prompt describing motion or behavior\n\nExample:\n\nthe person is dancing\n\n## 4️⃣ Export\n\nThe **Save Video** node outputs the final animation.\n\n## ⚙️ Stability Guidelines\n\n- Stick to ~720p\n- Keep frames under ~150\n- 1080p may fail without significant VRAM\n- Everything is **center-cropped**\n- Best results with **clear human reference images**\n\nResolution → Frame Cap → Prompt → Render.\n\n- Feel free to bypass the Nano Banana 2 node and use your own reference image as an Input!" ], "widgets_values_named": { "text": "This workflow takes an input video + reference image and generates an animated result using **Wan 2.2 Animate (Character Replace)**.\n\n> ⚠️ Works best when the **reference image is a person**. \nHuman subjects (clear face + body) produce the most stable and convincing results.\n\n## 1️⃣ Set Target Resolution (Top Left)\n\nUse the **Width** and **Height** nodes (top left) to define output resolution.\n\n**Recommended:**\n- ✅ Stay around **720p** (e.g. 720x720 or 832x480)\n- ⚠️ 1080p may error depending on VRAM\n- Higher resolutions = higher instability\n\n> Both the input video and reference image are **center-cropped** to match the target resolution.\n\n## 2️⃣ Control Frame Count\n\nIn the **Input Video** node, use:\n\n`frame_load_cap`\n\nto control how many frames are processed.\n\n**Recommended range:**\n- 🎯 **77–150 frames**\n\nLower = faster + less likely to crash\nHigher = heavier VRAM usage\n\n## 3️⃣ Wan 2.2 Animate Node\n\n- Connect `input_video`\n- Connect `reference_image`\n- Set FPS (30 is typical)\n- Add your prompt describing motion or behavior\n\nExample:\n\nthe person is dancing\n\n## 4️⃣ Export\n\nThe **Save Video** node outputs the final animation.\n\n## ⚙️ Stability Guidelines\n\n- Stick to ~720p\n- Keep frames under ~150\n- 1080p may fail without significant VRAM\n- Everything is **center-cropped**\n- Best results with **clear human reference images**\n\nResolution → Frame Cap → Prompt → Render.\n\n- Feel free to bypass the Nano Banana 2 node and use your own reference image as an Input!" }, "color": "#222", "bgcolor": "#000" }, { "id": 344, "type": "b396d3e6-70cc-4a91-81db-6e0399a4edb6", "pos": [ -3010, -500 ], "size": [ 320, 500 ], "flags": {}, "order": 8, "mode": 0, "inputs": [ { "name": "fps", "type": "FLOAT", "widget": { "name": "fps" }, "link": 834 }, { "label": "input_video", "name": "image", "type": "IMAGE", "link": 835 }, { "name": "width", "type": "INT", "widget": { "name": "width" }, "link": 836 }, { "name": "height", "type": "INT", "widget": { "name": "height" }, "link": 837 }, { "label": "reference_image", "name": "image_1", "type": "IMAGE", "link": 879 }, { "name": "audio", "shape": 7, "type": "AUDIO", "link": 847 }, { "name": "length", "type": "INT", "widget": { "name": "length" }, "link": 877 } ], "outputs": [ { "name": "VIDEO", "type": "VIDEO", "links": [ 839 ] } ], "properties": { "previewExposures": [ { "name": "$$canvas-image-preview", "sourceNodeId": "355", "sourcePreviewName": "$$canvas-image-preview" } ] }, "widgets_values": [ 30, 832, 480, "the person is dancing", 77 ], "widgets_values_named": { "fps": 30, "width": 832, "height": 480, "text": "the person is dancing", "length": 77 } }, { "id": 360, "type": "GeminiNanoBanana2V2", "pos": [ -3490, 190 ], "size": [ 400, 398 ], "flags": {}, "order": 7, "mode": 0, "inputs": [ { "name": "prompt", "type": "STRING", "widget": { "name": "prompt" }, "link": 878 }, { "name": "model.images.image_1", "shape": 7, "type": "IMAGE", "link": 881 }, { "name": "model.images.image_2", "shape": 7, "type": "IMAGE", "link": null }, { "name": "model.files", "shape": 7, "type": "GEMINI_INPUT_FILES", "link": null } ], "outputs": [ { "name": "IMAGE", "type": "IMAGE", "links": [ 879, 880 ] }, { "name": "STRING", "type": "STRING", "links": null }, { "name": "thought_image", "type": "IMAGE", "links": null } ], "properties": { "Node name for S&R": "GeminiNanoBanana2V2" }, "widgets_values": [ "", "Nano Banana 2 (Gemini 3.1 Flash Image)", "auto", "1K", "MINIMAL", 42, "randomize", "IMAGE", "You are an expert image-generation engine. You must ALWAYS produce an image.\nInterpret all user input—regardless of format, intent, or abstraction—as literal visual directives for image composition.\nIf a prompt is conversational or lacks specific visual details, you must creatively invent a concrete visual scenario that depicts the concept.\nPrioritize generating the visual representation above any text, formatting, or conversational requests.", 1, 0.95 ], "widgets_values_named": { "prompt": "", "model": "Nano Banana 2 (Gemini 3.1 Flash Image)", "model.aspect_ratio": "auto", "model.resolution": "1K", "model.thinking_level": "MINIMAL", "seed": 42, "control_after_generate": "randomize", "response_modalities": "IMAGE", "system_prompt": "You are an expert image-generation engine. You must ALWAYS produce an image.\nInterpret all user input—regardless of format, intent, or abstraction—as literal visual directives for image composition.\nIf a prompt is conversational or lacks specific visual details, you must creatively invent a concrete visual scenario that depicts the concept.\nPrioritize generating the visual representation above any text, formatting, or conversational requests.", "temperature": 1, "top_p": 0.95 }, "color": "#432", "bgcolor": "#653" } ], "links": [ [ 769, 301, 3, 314, 0, "VHS_VIDEOINFO" ], [ 834, 314, 0, 344, 0, "FLOAT" ], [ 835, 301, 0, 344, 1, "IMAGE" ], [ 836, 159, 0, 344, 2, "INT" ], [ 837, 160, 0, 344, 3, "INT" ], [ 840, 301, 0, 346, 0, "IMAGE" ], [ 839, 344, 0, 19, 0, "VIDEO" ], [ 847, 301, 2, 344, 5, "AUDIO" ], [ 877, 301, 1, 344, 6, "INT" ], [ 879, 360, 0, 344, 4, "IMAGE" ], [ 880, 360, 0, 349, 0, "IMAGE" ], [ 878, 351, 0, 360, 0, "STRING" ], [ 881, 346, 0, 360, 1, "IMAGE" ] ], "groups": [ { "id": 17, "title": "Target Resolution", 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0, "links": [ 866 ] } ], "title": "CLIP Text Encode (Negative Prompt)", "properties": { "Node name for S&R": "CLIPTextEncode", "cnr_id": "comfy-core", "ver": "0.3.59" }, "widgets_values": [ "色调艳丽，过曝，静态，细节模糊不清，字幕，风格，作品，画作，画面，静止，整体发灰，最差质量，低质量，JPEG压缩残留，丑陋的，残缺的，多余的手指，画得不好的手部，画得不好的脸部，畸形的，毁容的，形态畸形的肢体，手指融合，静止不动的画面，杂乱的背景，三条腿，背景人很多，倒着走" ], "widgets_values_named": { "text": "色调艳丽，过曝，静态，细节模糊不清，字幕，风格，作品，画作，画面，静止，整体发灰，最差质量，低质量，JPEG压缩残留，丑陋的，残缺的，多余的手指，画得不好的手部，画得不好的脸部，畸形的，毁容的，形态畸形的肢体，手指融合，静止不动的画面，杂乱的背景，三条腿，背景人很多，倒着走" }, "color": "#322", "bgcolor": "#533" }, { "id": 21, "type": "CLIPTextEncode", "pos": [ -2650, -680 ], "size": [ 430, 240 ], "flags": {}, "order": 13, "mode": 0, "inputs": [ { "localized_name": "clip", "name": "clip", "type": "CLIP", "link": 18 }, { "localized_name": "text", "name": "text", "type": "STRING", "widget": { "name": "text" }, "link": 838 } ], "outputs": [ { "localized_name": "CONDITIONING", "name": "CONDITIONING", "type": "CONDITIONING", "slot_index": 0, "links": [ 865 ] } ], 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"widgets_values": [ "You can use either the detected bbox or the kay_frame_body_points to positive coordinates, if one fails to creater proper mask, try the other" ], "widgets_values_named": { "text": "You can use either the detected bbox or the kay_frame_body_points to positive coordinates, if one fails to creater proper mask, try the other" }, "color": "#222", "bgcolor": "#000" }, { "id": 338, "type": "ImageScale", "pos": [ -3470, 890 ], "size": [ 280, 180 ], "flags": {}, "order": 25, "mode": 0, "inputs": [ { "localized_name": "image", "name": "image", "type": "IMAGE", "link": 817 }, { "localized_name": "width", "name": "width", "type": "INT", "widget": { "name": "width" }, "link": 818 }, { "localized_name": "height", "name": "height", "type": "INT", "widget": { "name": "height" }, "link": 819 } ], "outputs": [ { "localized_name": "IMAGE", "name": "IMAGE", "type": "IMAGE", "links": [ 801, 811 ] } ], "title": "Resize Input Video", "properties": { "Node name for S&R": "ImageScale", 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They are for previewing the output of object detection. You can select them and then use Ctrl-B to enable or disable." ], "widgets_values_named": { "text": "The pink nodes are in Bypassed status. They are for previewing the output of object detection. 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