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Emu3.5: An open source large-scale multimodal world model.

https://redd.it/1ok0o3l
@rStableDiffusion
Universal Music Group also nabs Stability - Announced this morning on Stability's twitter
https://redd.it/1ok2son
@rStableDiffusion
LEMMÏNG

The entire piece was brought to life using a wide range of AI-powered tools (e.q.: ComfyUI - QWEN Image Edit, Flux, Hunyuan Video Foley etc.) - for the visuals and sound. I also plan to share the full project folder with all related files and prompts, so that anyone can take a closer look behind the scenes, in case that’s something you’d be interested in.

🎬 VIDEO
https://www.youtube.com/watch?v=29XM7lCp9rM&list=PLnlg\_ojtqCXIhb99Zw3zBlUkp-1IiGFw6&index=1

https://reddit.com/link/1okcnov/video/1w9ufl23lbyf1/player

Thank you so much for taking the time to watch!

https://redd.it/1okcnov
@rStableDiffusion
CONTROL THREAT: UMG Deal removes Udio Downloads & Locks Creations. Join the PFP Protest! #UNWALLTHEGARDEN
https://redd.it/1okiaez
@rStableDiffusion
Wan2.2 14B on GTX1050 with 4Gb : ok.

Latest ComfyUI versions are wonderful in memory management :
I own an old GTX1050Ti with 4Gb VRAM, in an even older computer with 24Gb RAM. I've been using LTXV13B-distilled since august, creating short image to video 3s 768×768 clips with various results on characters. Well rendered bodies on slow movements. But often awful faces. It was slower on lower resolutions, with worst quality.
I tend not to update a working solution, and at the time, Wan models were totally out of reach, hiting 00M error or crashing during the VAE decoding at the end.

But lately, I updated ComfyUI. I wanted to give another try to Wan.
• Wan2.1 Vace 1.3 — failed (ran but results unrelated to initial picture)
• Wan2.2 5B — awful ;
And...
• Wan2.2 14B — worked... !!!

How ?
1) Q4KM quantization on both low noise and high noise models) ;
2) 4 steps Lightning Lora ;
3) 480×480, length 25, 16 fps (ok, that's really small) ;
4) Wan2.1 VAE decoder.

That very same workflow didn't work on older ComfyUI version.

Only problem: it takes 31 minutes and uses a huge amount of RAM.
Tested on Fedora 42.

https://redd.it/1okn7z1
@rStableDiffusion