Wan 2.2 Workflow for 4GB VRAM cards, tested in a GTX 1050 Ti
Hello beautiful people.
Disclaimer: You need the patience and persistence of a fisherman to run this, if you have and old GPU.
This is according to my experience, the only workflow i2v that works with my 1050 ti 4GB Vram
Recommended resolutions 512x512 and 600x400 or 400x600.
I know there are several T2v 5b models out there but some nodes used in workflows don´t work with old nvidia cards.
What can you expect?
At first run will be a cuda OOM(*), just click in run button again and should be fine.
At 16 FPS
49 frames jobs take 50 min. to finish
81 frames jobs take 1 hour 45 min. to finish
145 frames about 2 hours 40 min. to finish
All times are aproximations, your mileage may vary.
Why I'm share this?
To encourage people and curious minds to use the wan2.2 model and give it a try.
I hope this workflow helps someone.
Hardware tested
Intel(R) Core(TM) i5-9400F CPU @ 2.90GHz, 16 GB Ram, nvidia card Gtx 1050 Ti 4GB Vram, 1TB SSD disk, virtual memory 64GB in fixed size
Models used in Workflow
Model Q4_K_M Rapid V9:
https://civarchive.com/models/1855105?modelVersionId=2137014
wan_2.1_vae.safetensors:
https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/tree/main/split_files/vae
umt5-xxl-encoder-Q8_0.gguf:
https://huggingface.co/city96/umt5-xxl-encoder-gguf/tree/main
(*)PD: if you have another OOM just press that run button again.