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"INT", "link": null }, { "name": "length", "type": "INT", "link": null } ], "outputs": [ { "name": "IMAGE", "type": "IMAGE", "links": [ 584 ] }, { "label": "preview_sampling", "name": "denoised_output", "type": "LATENT", "links": [ 694 ] }, { "label": "Preview image", "name": "IMAGE_1", "type": "IMAGE", "links": [ 695 ] } ], "properties": { "proxyWidgets": [ [ "-1", "noise_seed" ], [ "307", "text" ], [ "308", "text" ] ], "cnr_id": "comfy-core", "ver": "0.7.0" }, "widgets_values": [ 2025 ] }, { "id": 480, "type": "MarkdownNote", "pos": [ -1111.6283384328826, -887.9769730532756 ], "size": [ 284.9047171379905, 329.50431467702697 ], "flags": { "collapsed": false }, "order": 79, "mode": 0, "inputs": [], "outputs": [], "title": "Video Generation Settings", "properties": {}, "widgets_values": [ "### For more tutorials : https://www.stablediffusiontutorials.com\n\n## Settings-\nShift- 8\nSampler- Euler\nSteps-4.0\n\n## Models-\nModel:\n\nPeople having VRAM minimum 16GB can use this:\n(a) Smooth Mix Wan 2.2 I2V 14B High Noise:\n https://civitai.com/models/1995784?modelVersionId=2260110\n\n(b) Smooth Mix Wan 2.2 I2V 14B Low Noise:\n https://civitai.com/models/1995784?modelVersionId=2259006\n\n### GGUF\nIf you have low Vrams use GGUF varinat instead:\nSmooth Mix Wan 2.2 (High Noise & Low Noise) GGUF\nhttps://huggingface.co/Bedovyy/smoothMixWan22-I2V-GGUF/tree/main\n\n\n### Smooth Mix Wan 2.2 V2.0\nhttps://huggingface.co/BigDannyPt/WAN-2.2-SmoothMix-GGUF/tree/main/v2.0\n\n\n### Wan2.2-Distill-Loras\n\nhttps://huggingface.co/lightx2v/Wan2.2-Distill-Loras/tree/main\n\nwan2.2_t2v_A14b_high_noise_lora_rank64_lightx2v_4step_1217.safetensors\nand \nwan2.2_t2v_A14b_low_noise_lora_rank64_lightx2v_4step_1217.safetensors\n\n\n### SVI Wan2.1 I2V 14B lora v2.0\nhttps://huggingface.co/vita-video-gen/svi-model/tree/main/version-2.0\n\n\n\n" ], "color": "#432", "bgcolor": "#653" } ], "links": [ [ 254, 128, 0, 130, 0, "SIGMAS" ], [ 255, 128, 1, 131, 0, "SIGMAS" ], [ 283, 84, 0, 143, 0, 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