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.