TXT to VIDEO simple workflow WAN2.1 | GGUF | LoRA | UPSCALE | TeaCache

v2.0
UmeAiRT
5 months ago

You can read my guide to using this workflow: link

The easiest way to install all the files needed for workflow use is to use one of my installation scripts.
To only install the missing nodes, I created another script.

To save a lot of time on video generation, you can install SageAttention. I've written a guide on the subject: link

Resources you need:

Files :

Recommendation :
24 gb Vram: Q8_0
16 gb Vram: Q5_K_S
<12 gb Vram: Q4_K_S

I2V Quant Model: city96/Wan2.1-T2V-14B-gguf at main
In models/diffusion_models

CLIP : split_files/text_encoders/umt5_xxl_fp8_e4m3fn_scaled.safetensors · Comfy-Org/Wan_2.1_ComfyUI_repackaged at main
in models/clip

CLIP-VISION: split_files/clip_vision/clip_vision_h.safetensors · Comfy-Org/Wan_2.1_ComfyUI_repackaged at main
in models/clip_vision

VAE: split_files/vae/wan_2.1_vae.safetensors · Comfy-Org/Wan_2.1_ComfyUI_repackaged at main
in models/vae

UPSCALE MODEL: 4x_foolhardy_Remacri.pth · utnah/LDSR at main
in models/upscale_models

Custom Nodes :

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Info

Base model: Wan Video

Version v2.0: 1 File

To download these files, please visit this page from a desktop computer.

About this version: v2.0

What's new? :

  • Added non-GGUF version and without nightly node,

  • New interface,

  • New upscaler,

  • New model optimisation,

  • New LoRA loader,

  • New FLUX version,

  • New model loader to unload part to RAM.

10 Versions

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