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"comfy-core", "ver": "0.3.44", "Node name for S&R": "WanFirstLastFrameToVideo" }, "widgets_values": [ 720, 1280, 25, 1 ], "color": "#2a363b", "bgcolor": "#3f5159" }, { "id": 400, "type": "VAEDecodeTiled", "pos": [ 421.2698059082031, 1063.927978515625 ], "size": [ 270, 150 ], "flags": {}, "order": 25, "mode": 0, "inputs": [ { "name": "samples", "type": "LATENT", "link": 818 }, { "name": "vae", "type": "VAE", "link": 819 } ], "outputs": [ { "name": "IMAGE", "type": "IMAGE", "links": [ 822 ] } ], "properties": { "cnr_id": "comfy-core", "ver": "0.3.44", "Node name for S&R": "VAEDecodeTiled" }, "widgets_values": [ 256, 64, 64, 8 ] }, { "id": 391, "type": "Asymmetric Tiled KSampler", "pos": [ 1313.024169921875, 531.4937133789062 ], "size": [ 272.0835876464844, 310 ], "flags": {}, "order": 24, "mode": 0, "inputs": [ { "name": "model", "type": "MODEL", "link": 801 }, { "name": "positive", "type": "CONDITIONING", "link": 838 }, { "name": "negative", "type": "CONDITIONING", "link": 837 }, { "name": "latent_image", "type": "LATENT", "link": 851 } ], "outputs": [ { "name": "LATENT", "type": "LATENT", "links": [ 818 ] } ], "properties": { "cnr_id": "tiled_ksampler", "ver": "d954379b188efd8d66f4280878a7b582038729e5", "Node name for S&R": "Asymmetric Tiled KSampler" }, "widgets_values": [ 8894, "fixed", 1, 1, 35, 6, "dpmpp_2m", "sgm_uniform", 1 ], "color": "#332922", "bgcolor": "#593930" }, { "id": 407, "type": "MarkdownNote", "pos": [ -1400, -50 ], "size": [ 620, 1000 ], "flags": {}, "order": 30, "mode": 0, "inputs": [], "outputs": [], "title": "How to use", "properties": {}, "widgets_values": [ "## How to use (v2.0.1)\n\n**What it does:** give a start image and an end image; Wan 2.1 FLF2V (14B, GGUF) makes a video that moves from the first to the last. Then RealESRGAN x4 upscales the frames, they are scaled to 1080x1920 and saved as an mp4. Low-VRAM friendly (4 GB).\n\n**Inputs**\n1. **Start Image** and **End Image** (bottom left): load your two pictures. Resize is off in both loaders; WanFirstLastFrameToVideo scales both to its width x height (720x1280, portrait, center crop). Use the same shape for both.\n2. **Positive prompt**: describe the motion between the two images. The negative prompt is empty by default.\n3. **Models** (top left): GGUF model in Loader GGUF, text encoder in Load CLIP (type wan), VAE, CLIP vision. LoRAs go in the Lora Loader Stack (all None by default).\n\n**Important settings**\n- **WanFirstLastFrameToVideo**: width 720, height 1280, length 25 frames. Width and height should match the image loaders.\n- **Sampler** (Asymmetric Tiled KSampler): seed 8894 fixed, 35 steps, cfg 6, dpmpp_2m / sgm_uniform, denoise 1.\n- **Speed and quality patches** (top): TorchCompile, TeaCache (KJ), RifleXRoPE, Sage attention patch, Skip Layer Guidance, Enhance-A-Video, CFG-Zero*, NAG, shift 6 (ModelSamplingSD3).\n- **Upscale** (bottom right): RealESRGAN x4, then Lanczos to 1080x1920 (center crop). RIFE VFI multiplier 1.\n- **Export**: 24 fps h264 mp4, pingpong on (plays forward then back).\n\n**Tips**\n- Quant: Q5_K_M is a good balance of quality and size. Q2_K still works; avoid the _S versions.\n- Sampler: euler / simple, cfg 4 to 6, about 30 steps works well. Above 50 steps takes very long for little gain.\n- The Sage attention patch node needs the sageattention package. Without it, bypass that node (Ctrl+B).\n- Faster attention: start ComfyUI with --use-sage-attention (less VRAM). --use-ck-attention changes the image for the same seed.\n- Missing \"Asymmetric Tiled KSampler\" or \"RIFE VFI\": install the tiled_ksampler and ComfyUI-Frame-Interpolation packs (see Downloads).\n\n_Tested on: no test hardware is listed for this release. Not run on ComfyUI 0.45.3 (it needs two custom packs and model files that the 0.45.3 test server does not have)._" ], "color": "#432", "bgcolor": "#653" }, { "id": 408, "type": "MarkdownNote", "pos": [ -1400, 990 ], "size": [ 620, 560 ], "flags": {}, "order": 31, "mode": 0, "inputs": [], "outputs": [], "title": "Downloads", "properties": {}, "widgets_values": [ "## Downloads - put each file in the ComfyUI folder shown\n\nFolders are inside `ComfyUI/models/`. Full table: downloads.md.\n\n| Folder | File (click = download) | Note |\n|---|---|---|\n| `diffusion_models/` | [wan2.1-flf2v-720p-14b-q2_k.gguf](https://huggingface.co/calcuis/wan-gguf/resolve/main/wan2.1-flf2v-720p-14b-q2_k.gguf) | Pick your quant from the repo |\n| `vae/` | [wan_2.1_vae.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/vae/wan_2.1_vae.safetensors) | |\n| `text_encoders/` | [t5xxl_um_fp8_e4m3fn_scaled.safetensors](https://huggingface.co/calcuis/wan-gguf/resolve/main/t5xxl_um_fp8_e4m3fn_scaled.safetensors) | 6.7 GB |\n| `clip_vision/` | [clip_vision_h_fp8_e4m3fn.safetensors](https://huggingface.co/calcuis/wan-gguf/resolve/main/clip_vision_h_fp8_e4m3fn.safetensors) | 0.6 GB |\n| `upscale_models/` | [RealESRGAN_x4.pth](https://huggingface.co/ai-forever/Real-ESRGAN/resolve/main/RealESRGAN_x4.pth) | 0.07 GB |\n\n`rife49.pth` is downloaded by ComfyUI-Frame-Interpolation on first run.\n\n**Custom node packs:** gguf, tiled_ksampler, ComfyUI-KJNodes, ComfyUI-VideoHelperSuite, rgthree-comfy, ComfyUI-Frame-Interpolation.\n\nOne command from the repo root: `python scripts/frizzy.py doctor wan2.1/flf2v`" ], "color": "#432", "bgcolor": "#653" } ], "links": [ [ 253, 80, 0, 106, 0, "IMAGE" ], [ 380, 106, 0, 82, 0, "IMAGE" ], [ 689, 330, 0, 226, 0, "MODEL" ], [ 719, 226, 0, 359, 0, "MODEL" ], [ 743, 307, 0, 370, 1, "CLIP" ], [ 744, 370, 1, 44, 0, "CLIP" ], [ 745, 370, 1, 111, 0, "CLIP" ], [ 750, 316, 0, 373, 0, "MODEL" ], [ 751, 373, 0, 364, 0, "MODEL" ], [ 786, 386, 0, 316, 0, "MODEL" ], [ 787, 364, 0, 385, 0, "MODEL" ], [ 789, 111, 0, 385, 1, "CONDITIONING" ], [ 790, 359, 0, 279, 0, "MODEL" ], [ 791, 279, 0, 386, 0, "MODEL" ], [ 792, 370, 0, 330, 0, "MODEL" ], [ 801, 385, 0, 391, 0, "MODEL" ], [ 816, 398, 0, 80, 0, "IMAGE" ], [ 817, 78, 0, 398, 0, "UPSCALE_MODEL" ], [ 818, 391, 0, 400, 0, "LATENT" ], [ 819, 382, 0, 400, 1, "VAE" ], [ 822, 400, 0, 398, 1, "IMAGE" ], [ 824, 402, 0, 403, 0, "CLIP_VISION" ], [ 825, 369, 0, 403, 1, "IMAGE" ], [ 837, 404, 1, 391, 2, "CONDITIONING" ], [ 838, 404, 0, 391, 1, "CONDITIONING" ], [ 839, 44, 0, 404, 0, "CONDITIONING" ], [ 840, 111, 0, 404, 1, "CONDITIONING" ], [ 841, 275, 0, 370, 0, "MODEL" ], [ 842, 403, 0, 404, 3, "CLIP_VISION_OUTPUT" ], [ 843, 402, 0, 406, 0, "CLIP_VISION" ], [ 844, 405, 0, 406, 1, "IMAGE" ], [ 845, 406, 0, 404, 4, "CLIP_VISION_OUTPUT" ], [ 846, 405, 0, 404, 6, "IMAGE" ], [ 847, 369, 0, 404, 5, "IMAGE" ], [ 848, 404, 2, 316, 1, "LATENT" ], [ 849, 404, 2, 359, 1, "LATENT" ], [ 850, 382, 0, 404, 2, "VAE" ], [ 851, 404, 2, 391, 3, "LATENT" ] ], "groups": [ { "id": 1, "title": "Models and Loras", "bounding": [ -418.4708557128906, 397.3606872558594, 695.1738891601562, 562.715576171875 ], "color": "#88A", "font_size": 24, "flags": {} }, { "id": 2, "title": "Prompt and Sampler", "bounding": [ 296.4618225097656, 395.78802490234375, 1487.3677978515625, 557.2505493164062 ], "color": "#8A8", "font_size": 24, "flags": {} }, { "id": 3, "title": "Input image workflow", "bounding": [ -413.62481689453125, 971.7687377929688, 684.10009765625, 685.4319458007812 ], "font_size": 24, "flags": {} }, { "id": 4, "title": "Upscaler and 2nd frame interpolaration", "bounding": [ 865.3817749023438, 966.560302734375, 913.2577514648438, 409.3675231933594 ], "color": "#a1309b", "font_size": 24, "flags": {} }, { "id": 5, "title": "Compiling, Cache Internal Frame Interpolaration", "bounding": [ 209.2317352294922, -53.53274154663086, 793.6033935546875, 427.86962890625 ], "color": "#b58b2a", "font_size": 24, "flags": {} }, { "id": 6, "title": "Enhance and Sampling", "bounding": [ 1072.814697265625, -46.315372467041016, 719.3086547851562, 376.06207275390625 ], "color": "#3f789e", "font_size": 24, "flags": {} } ], "config": {}, "extra": { "ds": { "scale": 0.6303940863128983, "offset": [ 323.4265208739523, -549.6207218870653 ] }, "frontendVersion": "1.23.4", "groupNodes": {}, "node_versions": { "comfyui-frame-interpolation": "c336f7184cb1ac1243381e725fea1ad2c0a10c09", "comfy-core": "0.3.15", "comfyui-videohelpersuite": "124c913ccdd8a585734ea758c35fa1bab8499c99", "comfyui-hunyuanvideowrapper": "8e0283bb3c9c2d0e38097c09fdfd3ad8e24cd333", "ComfyUI-GGUF": "5875c52f59baca3a9372d68c43a3775e21846fe0", "ComfyUI-HunyuanVideoSamplerSave": "12da6f230aae1427c74e96dd3d34735d5b8bd390", "comfyui-kjnodes": "095c8d4b526ba3c1f12fd9dd1d7f3540c6a11358" }, "ue_links": [], "VHS_latentpreview": false, "VHS_latentpreviewrate": 0, "VHS_MetadataImage": true, "VHS_KeepIntermediate": true }, "version": 0.4 }