Text-To-Video-Finetuning
Pallaidium
Text-To-Video-Finetuning | Pallaidium | |
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19 | 8 | |
507 | 832 | |
- | - | |
10.0 | 9.1 | |
6 months ago | 6 days ago | |
Python | Python | |
MIT License | GNU General Public License v3.0 only |
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Text-To-Video-Finetuning
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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 — 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
Pallaidium
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Würstchen is here! A game changing, fastest high-resolution image generation model
Get Pallaidium for free here: https://github.com/tin2tin/Pallaidium
- FLaNK Stack Weekly 28 August 2023
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Text-to-Video Model Fine-Tuned with 512x512 Anime-Style for Diffusers
Cool. Now, this set has been enabled in the Blender Generative AI add-on: https://github.com/tin2tin/Generative_AI
- Batch-generating Animov txt2vid in Blender video editor timeline with an add-on
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DeepFloyd IF added to the Generative AI add-on for Blender VSE
DeepFloyd added to an experimental branch of the Generative AI Blender VSE add-on! - Download: https://github.com/tin2tin/Generative_AI/tree/DeepFloyd - Install the add-on in Blender - Select the model card. - Enter hugginface token. - VSE sidebar: select Image - Generate. - Wait: 16 GB dl. - Needs 16 GB of VRAM
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Text to Video directly in the Blender VSE timeline with an add-on
Get the add-on here: https://github.com/tin2tin/text_to_video
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Bad featuring Darth Vader - ModelScope
Generated with ModelScope from the Blender Video Sequence Editor with this add-on: https://github.com/tin2tin/text_to_video
- Text to Video to the Blender Video Sequence Editor using ModelScope. Please test it.
What are some alternatives?
sd-webui-modelscope-text2video - Auto1111 extension consisting of implementation of text2video diffusion models (like ModelScope or VideoCrafter) using only Auto1111 webui dependencies [Moved to: https://github.com/deforum-art/sd-webui-text2video]
inst-inpaint - A novel inpainting framework that can remove objects from images based on the instructions given as text prompts.
lora - Using Low-rank adaptation to quickly fine-tune diffusion models.
FaceFusion - Next generation face swapper and enhancer
stable-diffusion-webui - Stable Diffusion web UI
supervision - We write your reusable computer vision tools. 💜
VideoCrafter - VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models
automl-app - AutoML Web App - build Machine Learning pipeline in automatic way with Graphical User Interface (GUI). You can run app locally!
ComfyUI - The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.
FLaNK-HuggingFace-DistilBert-SentimentAnalysis - Apache NiFi - distilbert-base-uncased-finetuned-sst-2-english
kohya_ss
seamless_communication - Foundational Models for State-of-the-Art Speech and Text Translation