Cavendish

I use gen AI tools to create and post images that I think are beautiful. 100% solar power. 🌤️

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  • 153 Posts
  • 138 Comments
Joined 2 years ago
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Cake day: July 1st, 2023

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  • CavendishOPMtoCavendish AIQuick Flash • [Video]
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    15 days ago

    Yes, this is all local and self-hosted.

    On the hardware front, I’m running an Intel 12900k, Nvidia 3090, 64GB ram. The workflow is all done with ComfyUI. Starting with a single image from the Flux 1 Dev model (text to image). Then passing that to a new video model called WAN 2.1 for the image-to-video.

    The Flux image takes about 2 minutes to generate but I make them big, about 2.5 megapixels with an upscale/finetune pass. The video takes about 3-4 hours to output 10 seconds of 720p at 15fps. Any larger res or more frames and I get out of memory errors. After that, I run it through a script I wrote using a frame interpolator called RIFE to get it up to 30fps.

    If you don’t need NSFW and don’t mind a Chinese company doing the video, I’ve gotten great image-to-video results from KlingAI in just a few minutes. The company behind Flux is also working on a local i2v model, and there’s another new one called HunyuanVideo that just came out a few days ago but I haven’t tried it.



















  • CavendishOPMtoCavendish AIPaintshop in Orange, in motion [Video]
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    2 months ago

    Would love to do this locally, but my machine would probably choke. This is from an online provider, KlingAI. When I experimented with Stable Diffusion AnimateDiff models, it took nearly 20 minutes for a low res, pretty cruddy looking 4 seconds, and 90% were straight up garbage.

    I’ve only used the fp16 Flux models, it’ll do a 2 megapixel image in 2ish minutes. I haven’t tried the compressed models, or the GGUF models geared towards lower VRAM cards.










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