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Update-20250730:
If you find the workflow isn't working right, go ahead and redownload.
Just finished my first two Wan2.2 LoRAs today—one trained on the high-noise checkpoint, the other on the low-noise— so I’ve updated the workflow for a couple of reasons:
Turns out the Low-noise checkpoint is the real final boss. Some people have already spotted that if you only call your character LoRA during the high-noise stage, the Low-noise pass will basically torch everything you just did.
Think of it this way:
A = LoRA trained only on the high-noise ckpt
B = LoRA trained only on the low-noise ckpt
KI-generierter Kommentar
KI-generierte Erklärung auf Grundlage von Quellen- und Konfigurationsdetails. Vorschläge sind klar gekennzeichnet.
Use Wan2.2 I2V_T2I_14B_gguf in ComfyUI to run separate I2V and T2I generation workflows; the description names these modes but does not specify concrete input or output types.
The zip contains two workflows: I2V and T2I.
T2I includes simple upscaling and noise nodes.
No concrete input or output types are specified.
Published by SamLiu, these are lightly adjusted ComfyUI templates based on Wan Video 14B i2v 480p.
The workflow names these ComfyUI node packs: ComfyUI-GGUF, comfyui-videohelpersuite, and rgthree-comfy.
Files include 4xLexicaHAT.pth, clip_vision_h.safetensors, umt5_xxl_fp8_e4m3fn_scaled.safetensors, and wan_2.1_vae.safetensors.
Other files include wan2.2_i2v_high_noise_14B_Q4_K_S.gguf, wan2.2_i2v_low_noise_14B_Q4_K_S.gguf, and Wan21_I2V_14B_lightx2v_cfg_step_distill_lora_rank64.safetensors.
The workflows use modified generation parameters.
T2I uses simple upscaling and noise nodes rather than a repaint upscaling method like A1111.
For character LoRAs, A is high-noise-only, B is low-noise-only, and A+B combines both; the stated order is A+B > B > A.
Before use, verify that ComfyUI-GGUF, 4xLexicaHAT.pth, and Wan21_I2V_14B_lightx2v_cfg_step_distill_lora_rank64.safetensors are available under those exact names.
Vorschlag · nicht geprüft
If the workflow is not working right, redownload it.
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Quellen
1 QuelleQuellenauszüge
1 AuszugSource context: 1204 downloads · Type Workflows · Base model Wan Video 14B i2v 480p
A+B = both combined
Quality comes out in this order: A+B > B > A
The uploaded zip file contains two workflows: I2V and T2I.
They're tweaked versions of the ComfyUI workflow templates - just minor adjustments, arranged the way I like, and with modified generation parameters (I put my test results in my daily update article).
Also, go with the flow, I added upscaling and noise nodes to T2I. They're simple nodes, not using a repaint upscaling method like A1111, to make sure they can run on my PC.
Geschätzter VRAM Bedarf
Schätzung nicht verfügbar
16,3 GB über 2 von 7 Modell-Dateien. Gesamtmodell-Dateien + 25% Ladeaufwand + 2 GB Ausführungs-Puffer, aufgerundet.
Anforderungen
10 Anforderungen4xLexicaHAT.pth
Nicht aufgelöstUpscaler · Unknown
Vision model · Hugging Face · Comfy-Org/Wan_2.1_ComfyUI_repackaged · Comfy-Org/Wan_2.1_ComfyUI_repackaged · Hugging Face
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
Checkpoint · 8.15 GB · GGUF · Unknown
Checkpoint · 8.15 GB · GGUF · Unknown
Wan21_I2V_14B_lightx2v_cfg_step_distill_lora_rank64.safetensors
Nicht aufgelöstLoRA · Unknown
ComfyUI-GGUF
MöglichKnotenpaket · Registry
Knotenpaket · Registry
Knotenpaket · Registry
