Resources you need:
📂Files :
For base version
I2V Model : wan2.2_fun_control_high_noise_14B_fp8_scaled.safetensors and wan2.2_fun_control_low_noise_14B_fp8_scaled.safetensors
In models/diffusion_models
CLIP: umt5_xxl_fp8_e4m3fn_scaled.safetensors
in models/clip
For GGUF version
I2V Quant Model : Wan2.2-Fun-A14B-Control_HighNoise-QX.gguf and Wan2.2-Fun-A14B-Control_LowNoise-QX.gguf
In models/unet
CLIP: umt5_xxl_fp8_e4m3fn_scaled.safetensors
in models/clip
For speed version
lightning LoRA : Wan2.2-Lightning_I2V-A14B-4steps-lora_HIGH_fp16.safetensors and Wan2.2-Lightning_I2V-A14B-4steps-lora_LOW_fp16.safetensors
For AIO version
I2V FAST AIO Model : wan2.2-i2v-rapid-aio.safetensors
In models/checkpoint
VAE: wan_2.1_vae.safetensors
in models/vae
ANY upscale model:
Realistic : RealESRGAN_x4plus.pth
Anime : RealESRGAN_x4plus_anime_6B.pth
in models/upscale_models
📦Custom Nodes :
Description
base version
FAQ
Comments (12)
Where there be a version where we can add more loras?
is this 2.1 or 2.2? small little mistake in title i think
anyways your workflows are always apreciated
Yes a little mistake, it's WAN2.2 version
What it do tho don't u needa upload an example O.o
UmeAiRT Ahhhh so this is a "V2V" workflow! Wasn't super obvious at first
How do I know which version to download? The 16 GB one or the 24 GB one?
is there a solution to this?
Given groups=1, weight of size [5120, 36, 1, 2, 2], expected input[2, 48, 13, 128, 96] to have 36 channels, but got 48 channels instead
I have the same error. Did you solve this problem?
MagCache nodes not working after an update. Was working fine before the update. Re-installing the nodes doesn't help, still say's "This workflow uses custom nodes you haven't installed yet". Anyone have a solution for this?