CoolFace
Datasetpublic

stablediffusiontutorials/wan-workflows

WAN 2.2 Installation + Workflow tutorial(Native/GGUF): ๐Ÿ‘‡ https://www.stablediffusiontutorials.com/2025/08/wan-2.2-video-generation.html WAN 2.1 Installation + Workflow tutorial(Native/GGUF): ๐Ÿ‘‡ https://www.stablediffusiontutorials.com/2025/02/wan-video-generation.html Train your WAN2.1 LoRA model (TXT2Vid/Img2Vid) on Windows/Linux:๐Ÿ‘‡ https://www.stablediffusiontutorials.com/2025/03/wan-lora-train.html

sourceHugging Faceapache-2.0updated 2mo agoView on Hugging Face
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Wan2.2_5B_Ti2V.json733 linesDownload Raw Back to root
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},380      "widgets_values": [381        "่‰ฒ่ฐƒ่‰ณไธฝ๏ผŒ่ฟ‡ๆ›๏ผŒ้™ๆ€๏ผŒ็ป†่Š‚ๆจก็ณŠไธๆธ…๏ผŒๅญ—ๅน•๏ผŒ้ฃŽๆ ผ๏ผŒไฝœๅ“๏ผŒ็”ปไฝœ๏ผŒ็”ป้ข๏ผŒ้™ๆญข๏ผŒๆ•ดไฝ“ๅ‘็ฐ๏ผŒๆœ€ๅทฎ่ดจ้‡๏ผŒไฝŽ่ดจ้‡๏ผŒJPEGๅŽ‹็ผฉๆฎ‹็•™๏ผŒไธ‘้™‹็š„๏ผŒๆฎ‹็ผบ็š„๏ผŒๅคšไฝ™็š„ๆ‰‹ๆŒ‡๏ผŒ็”ปๅพ—ไธๅฅฝ็š„ๆ‰‹้ƒจ๏ผŒ็”ปๅพ—ไธๅฅฝ็š„่„ธ้ƒจ๏ผŒ็•ธๅฝข็š„๏ผŒๆฏๅฎน็š„๏ผŒๅฝขๆ€็•ธๅฝข็š„่‚ขไฝ“๏ผŒๆ‰‹ๆŒ‡่žๅˆ๏ผŒ้™ๆญขไธๅŠจ็š„็”ป้ข๏ผŒๆ‚ไนฑ็š„่ƒŒๆ™ฏ๏ผŒไธ‰ๆก่…ฟ๏ผŒ่ƒŒๆ™ฏไบบๅพˆๅคš๏ผŒๅ€’็€่ตฐ"382      ],383      "color": "#322",384      "bgcolor": "#533"385    },386    {387      "id": 59,388      "type": "MarkdownNote",389      "pos": [390        -550,391        10392      ],393      "size": [394        480,395        340396      ],397      "flags": {},398      "order": 4,399      "mode": 0,400      "inputs": [],401      "outputs": [],402      "title": "Model Links",403      "properties": {},404      "widgets_values": [405        "[Tutorial](https://docs.comfy.org/tutorials/video/wan/wan2_2\n) | [ๆ•™็จ‹](https://docs.comfy.org/zh-CN/tutorials/video/wan/wan2_2\n)\n\n**Diffusion Model**\n- [wan2.2_ti2v_5B_fp16.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/wan2.2_ti2v_5B_fp16.safetensors)\n\n**VAE**\n- [wan2.2_vae.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/vae/wan2.2_vae.safetensors)\n\n**Text Encoder**   \n- [umt5_xxl_fp8_e4m3fn_scaled.safetensors](https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/text_encoders/umt5_xxl_fp8_e4m3fn_scaled.safetensors)\n\n\nFile save location\n\n```\nComfyUI/\nโ”œโ”€โ”€โ”€๐Ÿ“‚ models/\nโ”‚   โ”œโ”€โ”€โ”€๐Ÿ“‚ diffusion_models/\nโ”‚   โ”‚   โ””โ”€โ”€โ”€wan2.2_ti2v_5B_fp16.safetensors\nโ”‚   โ”œโ”€โ”€โ”€๐Ÿ“‚ text_encoders/\nโ”‚   โ”‚   โ””โ”€โ”€โ”€ umt5_xxl_fp8_e4m3fn_scaled.safetensors \nโ”‚   โ””โ”€โ”€โ”€๐Ÿ“‚ vae/\nโ”‚       โ””โ”€โ”€ wan2.2_vae.safetensors\n```\n"406      ],407      "color": 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In a retro 1970s-style subway station, a street musician plays in dim colors and rough textures. He wears an old jacket, playing guitar with focus. Commuters hurry by, and a small crowd gathers to listen. The camera slowly moves right, capturing the blend of music and city noise, with old subway signs and mottled walls in the background."449      ],450      "color": "#232",451      "bgcolor": "#353"452    },453    {454      "id": 3,455      "type": "KSampler",456      "pos": [457        850,458        130459      ],460      "size": [461        315,462        262463      ],464      "flags": {},465      "order": 9,466      "mode": 0,467      "inputs": [468        {469          "name": "model",470          "type": "MODEL",471          "link": 95472        },473        {474          "name": "positive",475          "type": "CONDITIONING",476          "link": 46477        },478        {479          "name": "negative",480          "type": "CONDITIONING",481          "link": 52482        },483        {484          "name": "latent_image",485          "type": "LATENT",486          "link": 104487        }488      ],489      "outputs": [490        {491          "name": "LATENT",492          "type": "LATENT",493          "slot_index": 0,494          "links": [495            35496          ]497        }498      ],499      "properties": {500        "Node name for S&R": "KSampler",501        "cnr_id": "comfy-core",502        "ver": "0.3.45"503      },504      "widgets_values": [505        898471028164125,506        "randomize",507        20,508        5,509        "uni_pc",510        "simple",511        1512      ]513    },514    {515      "id": 48,516      "type": "ModelSamplingSD3",517      "pos": [518        850,519        20520      ],521      "size": [522        210,523        58524      ],525      "flags": {526        "collapsed": false527      },528      "order": 5,529      "mode": 0,530      "inputs": [531        {532          "name": "model",533          "type": "MODEL",534          "link": 94535        }536      ],537      "outputs": [538        {539          "name": "MODEL",540          "type": "MODEL",541          "slot_index": 0,542          "links": [543            95544          ]545        }546      ],547      "properties": {548        "Node name for S&R": "ModelSamplingSD3",549        "cnr_id": "comfy-core",550        "ver": "0.3.45"551      },552      "widgets_values": [553        8554      ]555    }556  ],557  "links": [558    [559      35,560      3,561      0,562      8,563      0,564      "LATENT"565    ],566    [567      46,568      6,569      0,570      3,571      1,572      "CONDITIONING"573    ],574    [575      52,576      7,577      0,578      3,579      2,580      "CONDITIONING"581    ],582    [583      74,584      38,585      0,586      6,587      0,588      "CLIP"589    ],590    [591      75,592      38,593      0,594      7,595      0,596      "CLIP"597    ],598    [599      76,600      39,601      0,602      8,603      1,604      "VAE"605    ],606    [607      94,608      37,609      0,610      48,611      0,612      "MODEL"613    ],614    [615      95,616      48,617      0,618      3,619      0,620      "MODEL"621    ],622    [623      104,624      55,625      0,626      3,627      3,628      "LATENT"629    ],630    [631      105,632      39,633      0,634      55,635      0,636      "VAE"637    ],638    [639      106,640      56,641      0,642      55,643      1,644      "IMAGE"645    ],646    [647      107,648      8,649      0,650      57,651      0,652      "IMAGE"653    ],654    [655      108,656      57,657      0,658      58,659      0,660      "VIDEO"661    ]662  ],663  "groups": [664    {665      "id": 1,666      "title": "Step1 - Load models",667      "bounding": [668        -50,669        -20,670        400,671        453.6000061035156672      ],673      "color": "#3f789e",674      "font_size": 24,675      "flags": {}676    },677    {678      "id": 2,679      "title": "Step3 - Prompt",680      "bounding": [681        370,682        -20,683        448.27801513671875,684        473.2060852050781685      ],686      "color": "#3f789e",687      "font_size": 24,688      "flags": {}689    },690    {691      "id": 3,692      "title": "For i2v, use Ctrl + B to enable",693      "bounding": [694        -50,695        450,696        400,697        420698      ],699      "color": "#3f789e",700      "font_size": 24,701      "flags": {}702    },703    {704      "id": 4,705      "title": "Video Size & length",706      "bounding": [707        370,708        470,709        291.9127197265625,710        233.60000610351562711      ],712      "color": "#3f789e",713      "font_size": 24,714      "flags": {}715    }716  ],717  "config": {},718  "extra": {719    "ds": {720      "scale": 0.8390545288824454,721      "offset": [722        252.56402822629002,723        99.17599442262053724      ]725    },726    "frontendVersion": "1.25.1",727    "VHS_latentpreview": false,728    "VHS_latentpreviewrate": 0,729    "VHS_MetadataImage": true,730    "VHS_KeepIntermediate": true731  },732  "version": 0.4733}