Wan2.1(GGUF) only 4GB-VRAM ComfyUI Workflow — v2.0-ALL

Wan2.1 First Frame Last Frame

Funcontrol (experimental)

Funcameraimage (experimental)

Coming soon: Inpainting experimentals get updated

🚀 Results (Performance)

Article

*to be updated

🎥 Video Explainer (Vace edition):

🎥 Installation Guide (V1.8):

📦 DOWNLOAD SECTION

⚙️ Nodes Used (Install via ComfyUI Manager or links below)

🔗 GGUF

🔗 WanVideoWrapper

🔗 Tiled KSampler

🔗 KJNodes

🔗 Video Helper Suite

🔗 rgthree-comfy

Note: rgthree Only needed for Stack Lora Loader

📦 Model Downloads

*these are conversions from the original models to run on less VRAM.

🔗 WAN GGUF Models

most versions

🔗 Alternative for Image2Video

Faster/Better quants for i2v

🔗 WAN2.1 1.3B GGUF

fun,inpainting,T2V,Vace

🔗 WAN2.1 Fun-control 14B GGUF

fun-control

🔗 WAN2.1 Fun-Camera-control 14B GGUF

fun-Camera-Control

🔗 Alternative GGUF Conversions

All these GGUF conversions are done by:

https://huggingface.co/city96

https://huggingface.co/calcuis

https://huggingface.co/QuantStack

*If you cant find the model you are looking for check out there profiles!

🧩 Additional Required Files (Do not downlaod from Model Downloads)

🔗 VAE, CLIP, CLIP Vision, Text Encoder

📥 What to Download & How to Use It

✅ Quantization Tips:

Q_5 – 🔥 Best balance of speed and quality

Q_3_K_M – Fast and fairly accurate

Q_2_K – Usable, but with some quality loss

1.3B models – ⚡ Super fast, lower detail (good for testing)

14B models – 🎯 High quality, slower and VRAM-heavy

Reminder : Lower "Q" = faster and less VRAM , but lower quality Higher "Q" = better quality , but more VRAM and slower speed

🧩 Model Types & What They Do

Wan Video – Generates video from a text prompt (Text-to-Video)

Wan VACE – Generates video from a single image (Image-to-Video)

Wan2.1 Fun Control – Adds control inputs like depth, pose, or edges for guided video generation

Wan2.1 Fun Camera – Simulates camera movements (zoom, pan, etc.) for dynamic video from static input

Wan2.1 Fun InP – Allows video inpainting (fix or edit specific regions in video frames)

First–Last Frame – Generates a video by interpolating between a start and end image

📂 File Placement Guide

All WAN model .gguf files → Place them in your ComfyUI/models/diffusion_models/ folder

⚠️ Always check the model's download page for instructions — Converted models often list exact folder structure or dependencies

🔗 Helpful Sources:

Installing Triton: https://www.patreon.com/posts/easy-guide-sage-124253103

Common Errors: https://civitai.com/articles/17240

Reddit Threads:

https://www.reddit.com/r/StableDiffusion/comments/1j1r791/wan_21_comfyui_prompting_tips https://civitai.com/articles/17240

https://www.reddit.com/r/StableDiffusion/comments/1j2q0xw/dont_overlook_the_values_of_shift_and_cfg_on_wan

https://www.reddit.com/r/comfyui/comments/1j1ieqd/going_to_do_a_detailed_wan_guide_post_including

🚀 Performance Tips

To improve speed further, use:

✅ Xformer

✅ Sage Attention

✅ Triton

✅ Adjust internal settings for optimization

If you have any questions or need help, feel free to reach out! Hope this helps you generate realistic AI video with just a laptop 🙌

Source context: 28202 downloads · Type Workflows · Base model Wan Video