https://colab.research.google.com/github/Sxela/DiscoDiffusion-Warp/blob/main/Disco_Diffusion_v5_2_Warp.ipynb
Disco Diffusion v5.2 - Warp by. Alex Spirin. This version improves video init. You can now generate optical flow maps from input videos, and use those to: warp init frames for consistent style. warp processed frames for less noise in final video.

https://www.youtube.com/watch?v=K4shWPWX3C4
My first attempt at using DD to create animations. I still don't have a good feel for a lot (most) of the controls that move the "canvas," but I'll keep at i

https://colab.research.google.com/github/alembics/disco-diffusion/blob/main/Disco_Diffusion.ipynb
Disco Diffusion v5.7 - Now with MiDaS (3D mode) not being broken ... In case of confusion, Disco is the name of this notebook edit. The diffusion model in use is Katherine Crowson's fine-tuned 512x512 model. For issues, join the Disco Diffusion Discord or message us on twitter ... If you connect your Google Drive, you can save the final image

https://www.youtube.com/watch?v=gWxmtdZL8FE
Disco Diffusion v5.2:https://colab.research.google.com/github/alembics/disco-diffusion/blob/main/Disco_Diffusion.ipynbA great Disco Diffusion guide created b

https://github.com/alembics/disco-diffusion
Integrated Turbo+Smooth features from Disco Diffusion Turbo -- just the implementation, without its defaults. Implemented resume of turbo animations in such a way that it's now possible to resume from different batch folders and batch numbers. 3D rotation parameter units are now degrees (rather than radians)

https://github.com/Sxela/DiscoDiffusion-Warp
Init warping. The feature works like this: we take the 1st frame, diffuse it as usual as an image input with fixed skip steps. Then we warp in with its flow map into the 2nd frame and blend it with the original raw video 2nd frame. This way we get the style from heavily stylized 1st frame (warped accordingly) and content from 2nd frame (to

https://www.youtube.com/watch?v=n2-PmMQrZTE
Running DiscoDiffusion 5.2 for the first time with no configuration, so we can break the ice and generate images as soon as possible. Part of tutorial: https

https://weirdwonderfulai.art/resources/getting-started-with-disco-diffusion/
Sample Images created using DD. Below are a sample set of images created using Disco Diffusion with some post-processing like contract, clarity and tone curve using Polarr Pro Editor (free editor) Church of Bad Vibes. Whale home - artwork from Creature Homes collection. Robot standing guard to a secret lab. Steampunk factory.

https://github.com/Sxela/DiscoDiffusion-Warp/blob/main/README.md
Disco Diffusion v5.2 - WarpFusion. Discuss on Discord (keeping it on linktree now so it's always an active link) ... Add colab for 3d animation only; 22.05.2022: Add saving frames and flow to google drive (suggested by Chris the Wizard#8082) Add back consistency checking; 18.05.2022.

https://colab.research.google.com/github/apolinario/multimodalai/blob/main/Loud_Disco_Diffusion_v5_Turbo_%5Bw_3D_animation%5D.ipynb
In case of confusion, Disco is the name of this notebook edit. The diffusion model in use is Katherine Crowson's fine-tuned 512x512 model. For issues, join the Disco Diffusion Discord or message us on twitter at @somnai_dreams or @gandamu. Turbo version by @zippy731, "Loud" version by Apolinario (@multimodalart) using AudioCLIP by Andrey Guzhov. Credits & Changelog ⬇️

https://www.toolify.ai/ai-news/unleash-your-creativity-with-disco-diffusion-ai-video-animation-tutorial-2572858
In the Google Colab notebook, located on the left side, there are options for RAM and disk. Connect these options to your Google Drive, as it will store all the Python files and output images or videos generated by Disco Diffusion. Step 2: Uploading Initial Images or Videos. Within the Google Colab environment, locate the "Upload to Session

https://github.com/jina-ai/discoart
Disco Diffusion is a Google Colab Notebook that leverages CLIP-Guided Diffusion to allow one to create compelling and beautiful images from text prompts. 💯 Best-in-class: industry-level engineering, top-notch code quality, lean dependencies, small RAM/VRAM footprint; important bug fixes, feature improvements vs. the original DD5.6.

https://dreamingcomputers.com/disco-diffusion/disco-diffusion-cheatsheet/
Disco Diffusion 5.2. Reproduction of this cheatsheet was authorized by Zippy.. What is it? Disco Diffusion (DD) is a Google Colab Notebook which leverages an AI Image generating technique called CLIP-Guided Diffusion to allow you to create compelling and beautiful images from just text inputs. Created by Somnai, augmented by Gandamu, and building on the work of RiversHaveWings, nshepperd, and

https://www.youtube.com/watch?v=FA2MNG8D5x0
Learn how to make stunning AI-generated images with Disco Diffusion and Google Colab in this quick and easy tutorial.

https://colab.research.google.com/github/kostarion/guided-diffusion/blob/main/Disco_Diffusion_v5_2_%5Bw_VR_Mode%5D_%2B_symmetry.ipynb
Disco Diffusion is complex, and continually evolving with new features. The most current documentation on on Disco Diffusion settings can be found in the unofficial guidebook: Zippy's Disco Diffusion Cheatsheet. We also encourage users to join the Disco Diffusion User Discord to learn from the active user community.

https://snippetsbits.substack.com/p/ai-magic-time-to-disco-diffusion
Disco Diffusion v5.2 Colab Notebook Cheatsheet Discord Server. Disco Diffusion is the name of the Google Colab Notebook that marries an AI Diffusion model to the popular CLIP AI model (we introduced CLIP in the previous AI magic post), where a simple text prompt can help guide the AI diffusion model down relevant paths towards a comprehensible and tailored image, providing a bridge between NLP

https://medium.com/@trendingAI/how-to-make-ai-art-with-disco-diffusion-v5-4-on-google-colab-notebook-5e9aa61ea961
8. Set Cutn_batches between 2-8 choosing an even number Editors Choice — 6 (INFO) cutn_batches: (2-8) Each iteration, the AI cuts the image into smaller pieces known as cuts, and compares

https://www.youtube.com/watch?v=9bIbJ2J7pJE
Transform your ordinary videos into enchanting animations through the magic of Disco Diffusion and Google Colab ! 🌀🎨Explore the step-by-step tutorial on

https://bytexd.com/get-started-with-disco-diffusion-to-created-ai-generated-art/
Next go in the Google Colab menu to File > Save a copy in Drive to save the notebook into your Google Drive. Google Colab menu to File > Save a copy in Drive. Your copy of the Disco Diffusion notebook will open in a new tab, with the name Copy of Disco Diffusion [..]. This is the one we'll be using. You can close the old tab.

https://colab.research.google.com/github/entmike/disco-diffusion-1/blob/main/Simplified_Disco_Diffusion.ipynb
use_secondary_model is to use a secondary purpose-made diffusion model to clean up interim diffusion images for CLIP evaluation. If this option is turned off, DD will use the regular (large) diffusion model.

https://www.reddit.com/r/MediaSynthesis/comments/t6ujre/colab_notebooks_loud_disco_diffusion_v5_w_3d/
Loud_Disco_Diffusion_v5_[w_3D_animation_and_audio_input]. Reference. Loud Disco Diffusion v5 Turbo [w/ 3D animation and audio]. Reference. Example. I have not used either of these notebooks. The 2nd notebook uses Colab notebook "Disco Diffusion v5 Turbo [w/ 3D animation]" from zippy731.

https://github.com/ipsoblender/disco-diffusion_5.6
Integrated Turbo+Smooth features from Disco Diffusion Turbo -- just the implementation, without its defaults. Implemented resume of turbo animations in such a way that it's now possible to resume from different batch folders and batch numbers. 3D rotation parameter units are now degrees (rather than radians)

https://colab.research.google.com/github/jakubknejzlik/disco-diffusion/blob/main/Disco_Diffusion.ipynb
Disco Diffusion v5.1 - Now with Turbo. In case of confusion, Disco is the name of this notebook edit. The diffusion model in use is Katherine Crowson's fine-tuned 512x512 model. For issues, join the Disco Diffusion Discord or message us on twitter at @somnai_dreams or @gandamu.