disco-diffusion
artroom-stable-diffusion
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| disco-diffusion | artroom-stable-diffusion | |
|---|---|---|
| 22 | 8 | |
| 7,454 | 219 | |
| 0.2% | - | |
| 0.0 | 0.0 | |
| 10 months ago | about 1 year ago | |
| Jupyter Notebook | Python | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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disco-diffusion
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Halloween 2022
Disco-diffusion, a framework like Stable, which came out about 13 months ago: https://github.com/alembics/disco-diffusion
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Which is your favorite text to image model overall?
Runner-ups are Craiyon (for being more "creative" than SD), Disco Diffusion, minDALL-E, and CLIP Guided Diffusion.
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AI Generated Music Video using Disco Diffusion software
From the Disco Diffusion GitHub, "“A frankensteinian amalgamation of notebooks, models and techniques for the generation of AI Art and Animations.”
- List of open source machine learning AI image generation/text-to-image libraries that can be installed on an Amazon GPU instance? e.g. MinDall-E, Disco Diffusion, Pixray
- Colab notebook "Disco Diffusion v5.6, Inpainting_mode by cut_pow" by kostarion. From the developer: "Inpainting mode in #DiscoDiffusion! I've finally made the parametrised guided inpainting for disco, and applied it for more stable 2D and 3D animations. In the thread i show what's in there".
- I used an AI to create EVE Online themed Art!
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A good tutorial to get started?
Google Colab is probably the easiest way to run DD. To find the most recent version go to the GitHub page and then open the link to the Colab. Initially, you'll probably just want to experiment with the prompts. But there's also Zippy's Disco Diffusion Cheatsheet v0.3 which can be a useful place to learn more.
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Free/open-source AI Text-To-Image Models that can be run on AWS?
You can probably port Disco Diffusion pretty easily. It’s available on Google Colab, so should be straightforward. Their GitHub is: https://github.com/alembics/disco-diffusion
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Protests erupt outside of DALL-E offices after pricing implementation, press photograph
https://www.reddit.com/r/DiscoDiffusion/, https://github.com/alembics/disco-diffusion. As far as I'm aware the only way to use this is via Google Colab. Rather difficult to use because of this.
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First nice portrait on 5.6 running locally on 2070 (comparison untouched / GFPGAN)
https://github.com/alembics/disco-diffusion,
artroom-stable-diffusion
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Easy-to-use local install of Stable Diffusion released
Github Repo: https://github.com/artmamedov/artroom-stable-diffusion
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Ran an image of the boys through a few different AI models. Here are a few of the better outcomes.
I use Artroom (Alternative download link), mostly because I'm incompetent and it's the easiest one to set up from all of the things I've found.
- Which is your favorite text to image model overall?
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Anyone have an idea what the issue is here, attempting to run the optimized scripts but keep hitting the same error, no problem running the normal scripts. Thanks.
wild guess after looking at this.
- I’m buying a 12 GB card for this, how big can I expect to be able to go?
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image2image throwing errors, unsure how to get it to run
I used a new project called Artroom that did everything for me. I already had the 1.4 model downloaded so I just needed to rename it to model.ckpt and put in the right directory. The creator just added experimental image2image support in the 0.3.0 release, but you can only get that on the authors discord channel at the moment.
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Cats sitting at a table playing poker
Other pictures are from Pic 1's prompt but with varying parameters. Created using Artroom
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Stable Diffusion One-Click Install Local GUI
You can get latest from: https://github.com/artmamedov/artroom-stable-diffusion/releases
What are some alternatives?
latent-diffusion - High-Resolution Image Synthesis with Latent Diffusion Models
stable-diffusion-webui - Stable Diffusion web UI
DALLE2-pytorch - Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
stable-diffusion-webui-docker - Easy Docker setup for Stable Diffusion with user-friendly UI
dalle-2-preview
mindall-e - PyTorch implementation of a 1.3B text-to-image generation model trained on 14 million image-text pairs
CLIP - CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
CLIP-Guided-Diffusion - Just playing with getting CLIP Guided Diffusion running locally, rather than having to use colab.
big-sleep - A simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN. Technique was originally created by https://twitter.com/advadnoun
InvokeAI - InvokeAI is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, supports terminal use through a CLI, and serves as the foundation for multiple commercial products.
VQGAN-CLIP - Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.
stable-diffusion - A latent text-to-image diffusion model