Description:
This workflow allows you to generate video from text.
You will find a step-by-step guide to using this workflow here: link
My other workflows for WAN: link
Resources you need:
📂Files :
For base version
T2V Model: fp16, fp8
In models/diffusion_models
For GGUF version
T2V Quant Model: Q8, Q5, Q3
In models/diffusion_models
Common files :
CLIP: umt5_xxl_fp8_e4m3fn_scaled.safetensors
in models/clip
VAE: wan_2.1_vae.safetensors
in models/vae
Speed LoRA: lightx2v_T2V_14B_cfg_step_distill_v2_lora_rank64_bf16.safetensors
in models/loras
ANY upscale model:
Realistic : RealESRGAN_x4plus.pth
Anime : RealESRGAN_x4plus_anime_6B.pth
in models/upscale_models
📦Custom Nodes :
Description
Interface adjustment :
The frames slider is replaced by a duration slider in seconds,
removed the interpolation ratio slider,
All models files are now in the main window.
Backend :
reduction of the number of custom nodes from 12 to 8,
improvement of the automatic prompt function with the replacement of 8 words like "image" or "drawing" by video to avoid making static videos,
added clip loader in GGUF version.
New "Post-production" menu.
Rollback on native upscaler.
New model optimisation :
Temporal attention for improve spatiotemporal predictive.
RifleXRoPE reduce bugs on videos longer than 5s. This allows you to increase the maximum video length from 5s to 8s.
MagCache,
Blockswap.
FAQ
Comments (1)
v2.2 works pretty well. I think my only complaint is that the lora loader is a bit of a pain to fiddle with, (having to type it in instead of just selecting from a dropdown) but other than that.. works pretty great.