A very simple WAN 2.2 workflow, aimed to make as simple as the native one while being able to create any number between 1 and 10 videos to be stitched together.
Laufzeitprofil
Quellenbeschreibung
A very simple WAN 2.2 workflow, aimed to make as simple as the native one while being able to create any number between 1 and 10 videos to be stitched together.
Uses the usual attempt of previous video's last frame to next video's first frame.
You manually only need to input it like the native workflow (as in: load models - optionally with LoRAs -, load first frame image, set image size and length).
The main difference is the prompting: Input multiple prompts separated by "|" to generate multiple videos using the last frame.
Since there's no VACE model of 2.2 available currently you can expect a loss of motion in between, but generally speaking even 30-50 second videos turn out better than with WAN 2.1 according to my (limited) tests.
KI-generierter Kommentar
KI-generierte Erklärung auf Grundlage von Quellen- und Konfigurationsdetails. Vorschläge sind klar gekennzeichnet.
Use WAN 2.2 I2V - Simple multiple prompt/video loop to create 1–10 stitched videos from models, optional LoRAs, a first-frame image, image size, video length, and prompts separated by “|”; each video passes its last frame to the next.
Load the models, optionally load LoRAs, add the first-frame image, and set the image size and video length.
Separate prompts with “|” to generate multiple videos using the previous video’s last frame, then stitch the videos together.
Inputs are models, optional LoRAs, a first-frame image, image size, video length, and prompts separated by “|”.
The output is 1–10 stitched videos, with each later video using the previous video’s last frame as its first-frame input.
The listed base model is Wan Video 14B i2v 720p, and the publisher is Yorgash.
No license is listed.
The listed node packs are: comfyui_essentials, comfyui_llm_party, comfyui_tinyterranodes, ComfyUI-Crystools, comfyui-easy-use, comfyui-kjnodes, ComfyUI-QualityOfLifeSuit_Omar92, and mikey_nodes.
Before using it, verify that your setup has these model files: CLIP-ViT-H-14-laion2B-s32B-b79K.safetensors, umt5_xxl_fp8_e4m3fn_scaled.safetensors, wan_2.1_vae.safetensors, wan2.2_i2v_high_noise_14B_fp8_scaled.safetensors, and wan2.2_i2v_low_noise_14B_fp8_scaled.safetensors.
Vorschlag
The listed LoRA files are: Wan21_AccVid_I2V_480P_14B_lora_rank32_fp16.safetensors and Wan21_I2V_14B_lightx2v_cfg_step_distill_lora_rank64_fixed.safetensors.
Use “|” between prompts to generate multiple videos connected through the previous video’s last frame.
Motion may be lost between clips because no VACE model of 2.2 is currently available.
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Quellen
1 QuelleQuellenauszüge
1 AuszugSource context: 3265 downloads · Type Workflows · Base model Wan Video 14B i2v 720p
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Remaining hardware or download-size estimates are not available yet.
Anforderungen
CLIP-ViT-H-14-laion2B-s32B-b79K.safetensors
Nicht aufgelöstVision model · Unknown
umt5_xxl_fp8_e4m3fn_scaled.safetensors
Datei ungeprüftText encoder · Hugging Face · Comfy-Org/Wan_2.1_ComfyUI_repackaged · Comfy-Org/Wan_2.1_ComfyUI_repackaged · Hugging Face
VAE · Hugging Face · Comfy-Org/Wan_2.2_ComfyUI_Repackaged · Wan 2.2 ComfyUI Repackaged
Checkpoint · 13.3 GB · SAFETENSORS · fp8 · pruned · Hugging Face · Comfy-Org/Wan_2.2_ComfyUI_Repackaged
Checkpoint · 13.3 GB · SAFETENSORS · fp8 · pruned · Hugging Face · Comfy-Org/Wan_2.2_ComfyUI_Repackaged
Wan21_AccVid_I2V_480P_14B_lora_rank32_fp16.safetensors
Nicht aufgelöstLoRA · Unknown
LoRA · 705 MB · SAFETENSORS · Unknown
Knotenpaket · Registry
Knotenpaket · Registry
comfyui_tinyterranodes
GefundenKnotenpaket · Registry
ComfyUI-Crystools
GefundenKnotenpaket · Registry
comfyui-easy-use
GefundenKnotenpaket · Registry
Knotenpaket · Registry
ComfyUI-QualityOfLifeSuit_Omar92
GefundenKnotenpaket · Registry
Knotenpaket · Registry