stable-diffusion-videos
MultiDiffusion
stable-diffusion-videos | MultiDiffusion | |
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17 | 13 | |
4,234 | 920 | |
- | - | |
2.0 | 4.8 | |
about 1 year ago | 8 months ago | |
Python | Jupyter Notebook | |
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
MultiDiffusion
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Opendream: A Non-Destructive UI for Stable Diffusion
For composing this approach works pretty well
https://multidiffusion.github.io/
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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).
- MultiDiffusion Region Control, a prompt on each mask webui extension is out.
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Hubble Diffusion with MultiDiffusion
Essentially, I fine-tuned Stable Diffusion 2.1 base (the 512x512) model on the ESA Hubble Deep Space Images & Captions dataset I collected from public Hubble images & captions. After around 33,000 training steps, I saved the model and was really impressed by the results. But I really wanted to be able to generate wallpaper-level quality space images, so I stumbled upon MultiDiffusion: a new project for generating massive panorama images using stable diffusion models. I then used hubble-diffusion-2 along with MultiDiffusion to generate each one of these amazing 2560x1536 images. Each image took a little over an hour to generate on a Google Colab T4 GPU. I used the following prompts for each of these images:
- MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation
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What is the maximum size a 3090 24gb can produce?
If you need generated and not upscaled 4k for some reason, try something like https://github.com/omerbt/MultiDiffusion
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[R] [N] "MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation" enables controllable image generation without any further training or finetuning of diffusion models.
Project: https://multidiffusion.github.io/ Paper: https://arxiv.org/abs/2302.08113 GitHub: https://github.com/omerbt/MultiDiffusion
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Meet MultiDiffusion: A Unified AI Framework That Enables Versatile And Controllable Image Generation Using A Pre-Trained Text-to-Image Diffusion Model
Quick Read: https://www.marktechpost.com/2023/02/24/meet-multidiffusion-a-unified-ai-framework-that-enables-versatile-and-controllable-image-generation-using-a-pre-trained-text-to-image-diffusion-model/ Paper: https://arxiv.org/abs/2302.08113 Github: https://github.com/omerbt/MultiDiffusion Project: https://multidiffusion.github.io/
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You to can create Panorama images 512x10240+ (not a typo) using less then 6GB VRAM (Vertorama works too). A modification of the MultiDiffusion code to pass the image through the VAE in slices then reassemble. Potato computers of the world rejoice.
So I haven't made many images with Stable Diffusion despite using it heavily. The reason is I've been messing with the internals of the diffusion pipe, to interfere with the diffusion process in different ways. Todays fun result is based on omerbt/MultiDiffusion for making panoramas.
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First version of Stable Diffusion was released on August 22, 2022
If we combine Mixture of Diffusers + MultiDiffusion+ Composer+ cross-domain-compositing and probably some more I'm not thinking of.
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
stable-diffusion-webui-two-shot - Latent Couple extension (two shot diffusion port)
frame-interpolation - FILM: Frame Interpolation for Large Motion, In ECCV 2022.
sd-webui-controlnet - WebUI extension for ControlNet
dain-ncnn-vulkan - DAIN, Depth-Aware Video Frame Interpolation implemented with ncnn library
mixture-of-diffusers - Mixture of Diffusers for scene composition and high resolution image generation
stable-diffusion-webui - Stable Diffusion web UI [Moved to: https://github.com/Sygil-Dev/sygil-webui]
Diffusion-Models-Papers-Survey-Taxonomy - Diffusion model papers, survey, and taxonomy
stable-karlo - Upscaling Karlo text-to-image generation using Stable Diffusion v2.
openpose-editor - Openpose Editor for AUTOMATIC1111's stable-diffusion-webui
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]
stable-diffusion-webui-sonar - Wrapped k-diffuison samplers with tricks to improve the generated image quality (maybe?), extension script for AUTOMATIC1111/stable-diffusion-webui