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Text-To-Video-Finetuning Alternatives
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Text-To-Video-Finetuning reviews and mentions
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Announcing zeroscope_v2_XL: a new 1024x576 video model based on Modelscope
I used this repo for the finetuning: https://github.com/ExponentialML/Text-To-Video-Finetuning
- Inspired by u/Many-Ad-6225's Mortal Kombat remastering post, test of a Liu Kang animation x4 upscale (ModelScope vid2vid)
- Text-to-Video Model Fine-Tuned with 512x512 Anime-Style for Diffusers
- How do you custom train Modelscope?
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ModelScope Finetuning
Has anyone successfully done this? I walked through the steps and did not find what I wanted so wanting to know if anyone has a tutorial about fine-tuning Modelscope with https://github.com/ExponentialML/Text-To-Video-Finetuning
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What will happen once AI is capable of letting 1 person make a whole Hollywood-quality film?
Well, actually today all I have is ModelScope txt2video, SadTalker and an understanding of how this technology works, but pretty soon I'll have this https://github.com/ExponentialML/Text-To-Video-Finetuning/pull/27 too. Then whatever advancements things like https://ai.facebook.com/blog/dino-v2-computer-vision-self-supervised-learning/ unlock will filter down to me too and so on it will go. My understanding of the tech will continue to deepen as I continue to retrain from traditional software engineering to machine learning. Things like Culitho (https://www.anandtech.com/show/18792/nvidias-culitho-to-speed-up-computational-lithography-for-2nm-and-beyond) and AlphaTensor (https://www.deepmind.com/blog/discovering-novel-algorithms-with-alphatensor) will continue to make compute faster and more affordable driving the cost of training/inference down and massively increasing the accessibility. Increasingly more functions will continue to be approximated closer and closer (https://www.youtube.com/watch?v=0QczhVg5HaI).
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Animov-0.1 โ High-resolution anime fine-tune of ModelScope text2video is now available in Auto1111! Trained on 384x384 anime fragments by strangeman3107, makes 2 seconds long videos with only 8.6G of VRAM (16 frames at 8 fps)
Made by strangeman3107 via https://github.com/ExponentialML/Text-To-Video-Finetuning. The original Diffusers weights https://huggingface.co/datasets/strangeman3107/animov-0.1
Just as one of Deforum Discord's server members linked me it, I was so inspired that I quickly wrote the Diffusers->pth (ModelScope original format) conversion script
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Auto1111 text2video Major Update! Animate pictures and loop videos with inpainting keyframes. 125 frames (8 secs) video now takes only 12gbs of VRAM thanks to torch2 optimization. WebAPI is released, no delay between runs! (ModelScope)
Yes, there's a Diffusers based repo https://github.com/ExponentialML/Text-To-Video-Finetuning.
- sd-webui-text2video has been updated and now it works with Xformers
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Stats
ExponentialML/Text-To-Video-Finetuning is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of Text-To-Video-Finetuning is Python.
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