CogVideo
diffusion-ui
CogVideo | diffusion-ui | |
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39 | 11 | |
3,512 | 139 | |
1.6% | - | |
2.4 | 5.1 | |
11 months ago | about 1 month ago | |
Python | Jupyter Notebook | |
Apache License 2.0 | MIT License |
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CogVideo
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InstructPix2Pix Video: "Turn the wave into trash"
Additionally two open source demo models [CogVideo[(https://github.com/THUDM/CogVideo) by a groups of cs students a model by [Antonia Antonova](https://antonia.space/text-to-video-generation) and have presented their own innovative methods of generating video from text
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Effortpost: The Future Of Media Synthesis and AI Art
The second thing that will happen is the appearance of AI video and audio. Google has shown two programs for video generation, one which is fairly high quality and the other which can make long videos with several scenes. Meta has also demonstrated their own. We've already seen other projects like CogVideo, as well as many others that are currently being worked on. It's likely that these techniques will become so refined that over the next year or two, they'll have a similar boom to image generation programs. And eventually, they'll have a similar application in video editing, once coherence is adequate enough. Select a person's shirt, and it stays that for the remainder of the scene. Change an actor's hairstyle in real time, or add characters that didn't exist into a scene and let the computer figure out the desired level of realism. This'll revolutionize VFX to a degree where making an effects heavy will be less about wrangling complex toolsets and more about making aesthetic choices of style and placement.
- AI Content Generation, Part 1: Machine Learning Basics
- Can we please make a general update on all the "most important" news/repos available?
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Stable Diffusion Public Release โ Stability.ai
Check out https://github.com/THUDM/CogVideo - progress is being made on coherent video generation.
Characters and dialogue are effectively solved, just look at GPT-3.
The entity behind StableDiffusion is also supporting generative music art, so let's see what is coming out of that: https://www.harmonai.org/
We are currently far away from generating a production quality movie with AI, but I don't think it's going to be nearly as long as a lifetime. In my opinion, we'll have high quality AI shorts within the decade.
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How far away are we from have AI like DALL-E 2 be able to create other media like 3d models or video?
CogVideo and a CogView web app.
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Does training transformers on large corpuses of music files have some hidden difficulty which makes it impossible?
A better comparison to AI music generation would be video generation, which has not improved much since i saw first examples some years ago. The last iteration is stuff like CogVideo and this is only able to generate 4 second videos with mid-strong artifacts.
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[R] CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers + Gradio Web Demo
github: https://github.com/THUDM/CogVideo
- CogVideo: Code and 94B Model for Text-to-Video Generation via Transformers
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CogVideo (text-to-video) model, code, and demo are available
GitHub repo.
diffusion-ui
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Who needs Photoshop generative AI when we have AUTO1111?
You can use diffusion-ui on top of automatic1111 for easy outpainting. Run automatic1111 with --cors-allow-origins=http://127.0.0.1:5173,https://diffusionui.com Then select the automatic1111 backend, upload an image then use the mouse scroll to zoom out.
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Show HN: InvokeAI, an open source Stable Diffusion toolkit and WebUI
I see you've got my https://github.com/leszekhanusz/diffusion-ui gui but it seems to be linked to a completely unrelated face-swapping interface?
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Anyone using the stable-diffusion-webui repo by automatic1111 as an API?
Yes, checkout diffusion-ui
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DiffusionUI responsive frontend working with the automatic1111 fork
I modified my GUI Stable Diffusion frontend to be able to use the automatic1111 fork as a backend.
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Can we please make a general update on all the "most important" news/repos available?
It's not really well known at the moment but you also have my DiffusionUI interface which is based on diffusers with a backend where you can disable the nsfw filter.
- Show HN: Guided inpainting with Stable Diffusion using DiffusionUI
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Presenting DiffusionUI, a web GUI for Stable Diffusion backends [P]
GitHub: https://github.com/leszekhanusz/diffusion-ui
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SD in-painting hair test
One way to do it is to use diffusionui, a web interface I made in vue. Here is a crappy video demo showing the process.
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What's the best install of Stable Diffusion right now?
If you want to do inpainting, you can try my diffusionui interface I'll add a feature soon to save the generated images in local storage in the browser. Here is a small demo
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Having fun with my proof-of-concept of a web interface to do directed inpainting with stable-diffusion
It's still a work in progress but you can already play with it. Check it on GitHub
What are some alternatives?
stable-diffusion-ui - Easiest 1-click way to install and use Stable Diffusion on your computer. Provides a browser UI for generating images from text prompts and images. Just enter your text prompt, and see the generated image. [Moved to: https://github.com/easydiffusion/easydiffusion]
glid-3-xl-stable - stable diffusion training
dalle-playground - A playground to generate images from any text prompt using Stable Diffusion (past: using DALL-E Mini)
diffusionbee-stable-diffusion-ui - Diffusion Bee is the easiest way to run Stable Diffusion locally on your M1 Mac. Comes with a one-click installer. No dependencies or technical knowledge needed.
stable-diffusion - Optimized Stable Diffusion modified to run on lower GPU VRAM
stable-diffusion-webui - Stable Diffusion web UI
stable-diffusion-webui-feature-showcase - Feature showcase for stable-diffusion-webui
diffusers - ๐ค Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
stable-diffusion - A latent text-to-image diffusion model
diffusion-ui-backend - Backend for the diffusion-ui frontend
imagen-pytorch - Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch
diffusers-interpret - Diffusers-Interpret ๐ค๐งจ๐ต๏ธโโ๏ธ: Model explainability for ๐ค Diffusers. Get explanations for your generated images.