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WAN 2.1 FLF2V: Simple ComfyUI Workflow for First-Last Frame Video Generation (Low VRAM Friendly, Laptop)
WAN 2.1 FLF2V: Simple ComfyUI Workflow for First-Last Frame Video Generation (Low VRAM Friendly, Laptop)
WAN 2.1 FLF2V: Simple ComfyUI Workflow for First-Last Frame Video Generation (Low VRAM Friendly, Laptop)
THIS MODEL PAGE IS OUTDATED CHECK OUT MY ULTIMATE WORKFLOW IT INCLUDES FIRST FRAME LAST FRAME:https://civitai.com/models/1309674?modelVersionId=1496495
视频
32 个节点 1,318 次使用 The_frizzy1 38 KB
需要的权重
这个工作流引用了 1 个权重文件，其中 0 个能在本站模型库里找到。
The_frizzy1_wan-2.1-flf2v_v2.0.1.json
模型库暂未收录
节点构成
Note
× 2
CLIPTextEncode
× 2
CLIPVisionEncode
× 2
LoadAndResizeImage
× 2
MarkdownNote
× 2
Lora Loader Stack (rgthree)
× 1
TorchCompileModelWanVideoV2
× 1
PathchSageAttentionKJ
× 1
SkipLayerGuidanceWanVideo
× 1
RIFE VFI
× 1
WanVideoNAG
× 1
WanVideoTeaCacheKJ
× 1
ApplyRifleXRoPE_WanVideo
× 1
UpscaleModelLoader
× 1
ImageScale
× 1
ModelSamplingSD3
× 1
官方标注的模型
RealESRGAN_x4.pthclip_vision_h_fp8_e4m3fn.safetensorsrife49.ptht5xxl_um_fp8_e4m3fn_scaled.safetensorswan2.1-flf2v-720p-14b-q2_k.ggufwan_2.1_vae.safetensors
工作流 JSON
和上面「下载工作流 JSON」是同一份文件。
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1465 "## 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)._"
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1489 "## 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`"
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