stable-diffusion-videos
Video-Diffusion-WebUI
| stable-diffusion-videos | Video-Diffusion-WebUI | |
|---|---|---|
| 17 | 2 | |
| 4,234 | 47 | |
| - | - | |
| 2.0 | 6.8 | |
| about 1 year ago | 3 months ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
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stable-diffusion-videos
- How to create it?
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Stable Diffusion Text-to-Video WebUI
Main Code: https://github.com/nateraw/stable-diffusion-videos/
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Messing with the denoising loop can allow you to reach new places in latent space. Over 8+ different research papers/Auto1111 extension ideas in a single pipe. Load once and do lots of different things (SD 2.1 or 1.5)
So I've continued to experiment with how many papers I can fit into a single pipe and have them play nicely together. The images below were created by combining the panorama code from omerbt/MultiDiffusion with the ideas from albarji/mixture-of-diffusers. Also turns out nateraw/stable-diffusion-videos can be seen as a special case of a panorama (in latent space rather than prompt space).
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Comparison of new UniPC sampler method added to Automatic1111
https://huggingface.co/spaces/tomg-group-umd/pez-dispenser https://huggingface.co/spaces/AIML-TUDA/safe-stable-diffusion https://huggingface.co/spaces/AIML-TUDA/semantic-diffusion https://github.com/nateraw/stable-diffusion-videos
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Start Frame -> Stable Diffusion + Linear Interpolation -> End Frame
The goal is to make a (short) video out of a given first and last frame. It is similar to what this guy does (https://github.com/nateraw/stable-diffusion-videos (7sec example video half way down page)). But instead of starting and ending with a prompt, I want to start and end with 2 different frames.
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Stable Diffusion Videos Easy-to-Use Playground & Competition This Week
Hey Y'all! We've been working on a tool that extends Nate Raw's Stable Diffusion Videos repo and makes it as easy as possible to use for artists and are having a competition this week to stress test the beta and see who can use it to make the most compelling short video (40 seconds max)
- Create videos with Stablediffusion. Saw this project and thought someone here might like it.
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Tried to pull off an ultra smooth video where you don't realize the scenes are changing until after-the-fact so I could make an 8hr background video that won't give seizures
Of course! There might be a better process but mainly used: 1.) Nate Raw's repo for morphing between prompts https://github.com/nateraw/stable-diffusion-videos 2.) Google FILM interpolation to smooth out transitions https://github.com/google-research/frame-interpolation
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[video] Packed underground rave in North Korea with dj ill kim headlining
There are directions in the readme and an example script.
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Short interpolation animation between several frames?
This does exactly that - https://github.com/nateraw/stable-diffusion-videos
Video-Diffusion-WebUI
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Stable Diffusion Text-to-Video WebUI
Roadmap: https://github.com/kadirnar/Video-Diffusion-WebUI/issues/1
What are some alternatives?
sd-dynamic-prompts - A custom script for AUTOMATIC1111/stable-diffusion-webui to implement a tiny template language for random prompt generation
frame-interpolation - FILM: Frame Interpolation for Large Motion, In ECCV 2022.
dain-ncnn-vulkan - DAIN, Depth-Aware Video Frame Interpolation implemented with ncnn library
stable-diffusion-webui - Stable Diffusion web UI [Moved to: https://github.com/Sygil-Dev/sygil-webui]
stable-karlo - Upscaling Karlo text-to-image generation using Stable Diffusion v2.
stable-diffusion-tensorflow-IntelMetal - Stable Diffusion in TensorFlow / Keras, Designed for Apple Metal on Intel. Forked from @divamgupta's work [Moved to: https://github.com/soten355/MetalDiffusion]
Imaginer - Imagine with AI
mixture-of-diffusers - Mixture of Diffusers for scene composition and high resolution image generation
Dreambooth-Stable-Diffusion - Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion
safe-latent-diffusion - Official Implementation of Safe Latent Diffusion for Text2Image
MultiDiffusion - Official Pytorch Implementation for "MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation" presenting "MultiDiffusion" (ICML 2023)