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"2.3.5", "Node name for S&R": "ClipLoaderGGUF" }, "widgets_values": [ "umt5-xxl-encoder-q4_k_m.gguf", "wan", "cpu" ] }, { "id": 81, "type": "easy cleanGpuUsed", "pos": [ 616.2235107421875, 79.99449157714844 ], "size": [ 157.38925170898438, 26 ], "flags": {}, "order": 15, "mode": 0, "inputs": [ { "name": "anything", "type": "*", "link": 156 } ], "outputs": [ { "name": "output", "type": "*", "links": null } ], "properties": { "cnr_id": "comfyui-easy-use", "ver": "1.3.1", "Node name for S&R": "easy cleanGpuUsed" }, "widgets_values": [] }, { "id": 61, "type": "SaveVideo", "pos": [ 1589.7396240234375, 204.48062133789062 ], "size": [ 695.2254028320312, 1140.838134765625 ], "flags": {}, "order": 30, "mode": 0, "inputs": [ { "name": "video", "type": "VIDEO", "link": 132 } ], "outputs": [], "properties": { "cnr_id": "comfy-core", "ver": "0.3.45", "Node name for S&R": "SaveVideo" }, "widgets_values": [ "WanVideo2_2_I2V_Lightning", "mp4", "h264" ] }, { "id": 86, "type": "PreviewImage", "pos": [ -753.7711791992188, 929.5221557617188 ], "size": [ 299.94189453125, 307.1624755859375 ], "flags": {}, "order": 18, "mode": 0, "inputs": [ { "name": "images", "type": "IMAGE", "link": 161 } ], "outputs": [], "properties": { "cnr_id": "comfy-core", "ver": "0.3.49", "Node name for S&R": "PreviewImage" }, "widgets_values": [] }, { "id": 63, "type": "Note", "pos": [ -390.9995422363281, 966.497802734375 ], "size": [ 370, 120 ], "flags": {}, "order": 5, "mode": 0, "inputs": [], "outputs": [], "title": "Video Size", "properties": {}, "widgets_values": [ "By default, we set the video to a smaller size for users with low VRAM. If you have enough VRAM, you can change the size" ], "color": "#432", "bgcolor": "#653" }, { "id": 79, "type": "CreateVideo", "pos": [ 2326.421630859375, 53.1190185546875 ], "size": [ 270, 78 ], "flags": {}, "order": 32, "mode": 0, "inputs": [ { "name": "images", "type": "IMAGE", "link": 152 }, { "name": "audio", "shape": 7, "type": "AUDIO", "link": null } ], "outputs": [ { "name": "VIDEO", "type": "VIDEO", "links": [ 153, 172 ] } ], "properties": { "cnr_id": "comfy-core", "ver": "0.3.45", "Node name for S&R": "CreateVideo" }, "widgets_values": [ 25 ] }, { "id": 60, "type": "CreateVideo", "pos": [ 1587.3541259765625, 71.85859680175781 ], "size": [ 270, 78 ], "flags": {}, "order": 28, "mode": 0, "inputs": [ { "name": "images", "type": "IMAGE", "link": 131 }, { "name": "audio", "shape": 7, "type": "AUDIO", "link": null } ], "outputs": [ { "name": "VIDEO", "type": "VIDEO", "links": [ 132, 171 ] } ], "properties": { "cnr_id": "comfy-core", "ver": "0.3.45", "Node name for S&R": "CreateVideo" }, "widgets_values": [ 16 ] }, { "id": 78, "type": "RIFE VFI", "pos": [ 1993.4283447265625, -58.97144317626953 ], "size": [ 289.6578063964844, 198 ], "flags": {}, "order": 29, "mode": 0, "inputs": [ { "name": "frames", "type": "IMAGE", "link": 151 }, { "name": "optional_interpolation_states", "shape": 7, "type": "INTERPOLATION_STATES", "link": null } ], "outputs": [ { "name": "IMAGE", "type": "IMAGE", "slot_index": 0, "links": [ 152 ] } ], "properties": { "cnr_id": "comfyui-frame-interpolation", "ver": "1.0.7", "Node name for S&R": "RIFE VFI", "widget_ue_connectable": { "ckpt_name": true, "clear_cache_after_n_frames": true, "multiplier": true, "fast_mode": true, "ensemble": true, "scale_factor": true } }, "widgets_values": [ "rife49.pth", 34, 2, false, true, 2 ] }, { "id": 8, "type": "VAEDecode", "pos": [ 1592.785888671875, -27.415489196777344 ], "size": [ 210, 46 ], "flags": {}, "order": 26, "mode": 0, "inputs": [ { "name": "samples", "type": "LATENT", "link": 124 }, { "name": "vae", "type": "VAE", "link": 150 } ], "outputs": [ { "name": "IMAGE", "type": "IMAGE", "slot_index": 0, "links": [ 131, 151 ] } ], "properties": { "cnr_id": "comfy-core", "ver": "0.3.45", "Node name for S&R": "VAEDecode" }, "widgets_values": [] }, { "id": 69, "type": "Note", "pos": [ 952.9575805664062, 505.2254943847656 ], "size": [ 379.72747802734375, 135.40545654296875 ], "flags": {}, "order": 6, "mode": 0, "inputs": [], "outputs": [], "properties": {}, "widgets_values": [ "Set steps to 4, split step to 2.\n\nShift to 5\n\nPlease let me know if you run into any issues.\n\nhttps://github.com/ModelTC/Wan2.2-Lightning/issues/3\nhttps://github.com/ModelTC/Wan2.2-Lightning" ], "color": "#432", "bgcolor": "#653" }, { "id": 73, "type": "WanImageToVideo", "pos": [ -43.56842803955078, 614.7412719726562 ], "size": [ 315, 210 ], "flags": {}, "order": 23, "mode": 0, "inputs": [ { "name": "positive", "type": "CONDITIONING", "link": 139 }, { "name": "negative", "type": "CONDITIONING", "link": 140 }, { "name": "vae", "type": "VAE", "link": 149 }, { "name": "clip_vision_output", "shape": 7, "type": "CLIP_VISION_OUTPUT", "link": null }, { "name": "start_image", "shape": 7, "type": "IMAGE", "link": 160 }, { "name": "width", "type": "INT", "widget": { "name": "width" }, "link": 165 }, { "name": "height", "type": "INT", "widget": { "name": "height" }, "link": 166 } ], "outputs": [ { "name": "positive", "type": "CONDITIONING", "links": [ 142 ] }, { "name": "negative", "type": "CONDITIONING", "links": [ 143 ] }, { "name": "latent", "type": "LATENT", "links": [ 144 ] } ], "properties": { "cnr_id": "comfy-core", "ver": "0.3.49", "Node name for S&R": "WanImageToVideo" }, "widgets_values": [ 768, 512, 49, 1 ] }, { "id": 87, "type": "OllamaVision", "pos": [ -1220.974609375, 64.44574737548828 ], "size": [ 294.5115966796875, 391.2828369140625 ], "flags": {}, "order": 7, "mode": 4, "inputs": [ { "name": "images", "type": "IMAGE", "link": null } ], "outputs": [ { "name": "description", "type": "STRING", "links": [ 162 ] } ], "properties": { "cnr_id": "comfyui-ollama", "ver": "2.0.6", "Node name for S&R": "OllamaVision" }, "widgets_values": [ "You are an expert at creating concise, cinematic animation prompts for AI image-to-video models. When given any image, analyze it quickly and produce a direct animation description following these principles:\n\nCore Guidelines:\n\nSubject Movement First: Consider what natural action the subject would logically perform in their environment (walking down streets, turning to look, subtle gestures, continuing implied motion)\n\nStatic Only When Appropriate: Keep subjects still only if the scene clearly suggests contemplation, waiting, or dramatic pause\n\nCamera as Support: Use camera movement to enhance subject action, not replace it\n\nContext Awareness: Match movement intensity to the scene's mood and setting\n\nOutput Requirements:\n\nWrite 2-3 sentences maximum\n\nLead with subject action, follow with camera movement\n\nUse cinematic language that creates visual flow\n\nMaintain the image's original mood and atmosphere\n\nBe specific about movement direction and pace\n\nExamples of Natural Actions by Context:\n\nStreets/alleys: walking, strolling, turning\n\nPortraits: subtle head turns, breathing, eye movement\n\nAction scenes: continuing the motion\n\nContemplative scenes: minimal but purposeful movement\n\nProduce only the final animation prompt - no analysis breakdown, no section headers, just a clean, cinematic description ready for i2v generation.", "enable", "http://192.168.0.210:11434", "qwen2.5vl:7b-q8_0", 5, "text", 2047362834, "fixed" ] }, { "id": 89, "type": "OllamaConnectivityV2", "pos": [ -1260.6912841796875, 901.3998413085938 ], "size": [ 374.5304260253906, 313.28643798828125 ], "flags": { "collapsed": false }, "order": 8, "mode": 0, "inputs": [], "outputs": [ { "name": "connection", "type": "OLLAMA_CONNECTIVITY", "links": [ 167 ] } ], "properties": { "cnr_id": "comfyui-ollama", "ver": "2.0.5", "Node name for S&R": "OllamaConnectivityV2" }, "widgets_values": [ "http://192.168.0.210:11434", "qwen2.5vl:7b-q8_0", 5, "minutes", null ] }, { "id": 90, "type": "OllamaGenerateV2", "pos": [ -1613.3184814453125, 549.8248901367188 ], "size": [ 318.8046875, 660.74658203125 ], "flags": { "collapsed": false }, "order": 19, "mode": 0, "inputs": [ { "name": "connectivity", "shape": 7, "type": "OLLAMA_CONNECTIVITY", "link": 167 }, { "name": "options", "shape": 7, "type": "OLLAMA_OPTIONS", "link": null }, { "name": "images", "shape": 7, "type": "IMAGE", "link": 169 }, { "name": "context", "shape": 7, "type": "OLLAMA_CONTEXT", "link": null }, { "name": "meta", "shape": 7, "type": "OLLAMA_META", "link": null } ], "outputs": [ { "name": "result", "type": "STRING", "links": [ 168 ] }, { "name": "thinking", "type": "STRING", "links": null }, { "name": "context", "type": "OLLAMA_CONTEXT", "links": null }, { "name": "meta", "type": "OLLAMA_META", "links": null } ], "properties": { "cnr_id": "comfyui-ollama", "ver": "2.0.5", "Node name for S&R": "OllamaGenerateV2" }, "widgets_values": [ "Given one input image (or a small set), generate a single, polished, positive prompt for Wan-style image-to-video, strictly following the Image-to-Video formula: Motion Description + Camera Movement, with optional concise tags from Aesthetic Control and Dynamic Control that are clearly supported by the image content.", "Instructions:\n\nAnalyze only what is visually evident in the image: subjects, environment, time-of-day cues, lighting, composition, lens feel, and plausible motion dynamics; do not invent new elements.\n\nConstruct the prompt around:\n\nMotion Description: specify the subject’s movement and any secondary environmental motion, using adverbs to modulate speed/intensity (e.g., slowly, briskly).\n\nCamera Movement: pick one clear move (e.g., dolly in, pan left, tilt up, static shot) or at most two if coherent; avoid shot lists.\n\nOptionally add 2–5 concise aesthetic/dynamic tags only if clearly supported by the image, chosen from: Light Source/Lighting Type/Time of Day/Shot Size/Composition/Lens/Color Tone/Motion/Character Emotion/Basic or Advanced Camera Movement; keep them short and cinematic (e.g., soft lighting, dusk time, medium close-up, center composition, warm colors).\n\nKeep language concrete, filmic, concise, and model-agnostic; no negatives, seeds, steps, resolution, ratios, or model names.\n\nOutput a single paragraph, 60–140 words, no headings or lists.\n\nOutput content order (implicit, not labeled):\n\nBrief scene anchor (subject + setting as visible).\n\nMotion Description for the subject and any key elements.\n\nCamera Movement (1–2 beats max).\n\n2–5 concise aesthetic/dynamic tags, only if clearly justified by the image.\n\nSafety:\n\nIf unsafe or ambiguous content appears, shift to neutral description and avoid amplifying sensitive details.\n\nExample style (not content):\nA lone hiker in a red shell jacket stands on a wind-brushed ridge, clouds threading the peaks behind. He steadies his stance as the gusts push, jacket fabric rippling; tall grass bends in waves. Begin with a gentle dolly in from medium to tight, matching his slow breath. Soft, overcast light and muted greens; low-contrast textures; center composition; natural color grade.", false, false, "text" ] }, { "id": 91, "type": "ShowText|LP", "pos": [ -1251.9390869140625, 555.206298828125 ], "size": [ 353.96331787109375, 280.6483154296875 ], "flags": { "collapsed": false }, "order": 21, "mode": 0, "inputs": [ { "name": "text", "type": "STRING", "link": 168 } ], "outputs": [ { "name": "STRING", "shape": 6, "type": "STRING", "links": [ 170 ] } ], "properties": { "cnr_id": "comfyui-levelpixel", "ver": "1.2.8", "Node name for S&R": "ShowText|LP" }, "widgets_values": [ "A fluffy white cat with sunglasses sits on a boat, gazing directly at the camera with a serene expression. The cat's fur is slightly ruffled, and the sunglasses reflect the bright, sunny sky and the ocean. 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