Search within r/DiscoDiffusion. @DiscoDiffusion. Note: the GPU being used for your notebook. #5 - Basic Settings - Depending on your Google Colab Tier (free, Pro or Pro+), the following settings will impact your rendering abilities and times. Created by Somnai, augmented by Gandamu, and building on the work of RiversHaveWings , nshepperd, and many others. Animations in Disco Diffusion V4.1 & V5.2. Simple run the code blocks one by one and set the parameters to your desired values, following the above cheat sheet when you need further explanation. Once you get the hang of it, then feel free to increase this value to 250 or 500 (even 1000, if you have the horsepower). Press the play button near the Basic Settings text (right below the 3. However, even after reading the Disco Diffusion Cheat Sheet and trying different prompts I am wondering if there is a best practice in directing the outcome? - Get ready for some AI magic !! If youre a newcomer, I strongly encourage reading the, - which provides an AI primer for interested non-technical readers including artists, hobbyists and beginner-level AI practitioners and a step-by-step walkthrough to generate your own images utilizing the, Snippets & Bits - AI, software, science and technology, : Damp dark Underground subway station with walls covered in graffiti tatscru , train tracks disappear in distance, flickering broken lights and highly illuminated bitcoins radiating on the floor, A couple of foundational papers were released early/mid 2021 by. I skimmed the document, and have a few suggestions for changes: I believe that superres sharpening is being provided by the diffusion model from this paper, not ESRGAN. Tag 3 of your favorite NFT artists using #DiscoDiffusion or #Midjourney. For your security, we need to re-authenticate you. Zippy's Disco Diffusion Cheatsheet v0.1. https://github.com/alembics/disco-diffusion/blob/main/Disco_Diffusion.ipynb Excerpt from the Disco Diffusion cheat sheet. Improved Denoising Diffusion Probabilistic Models PAPER, Diffusion Models Beat GANs on Image Synthesis PAPER. By accepting all cookies, you agree to our use of cookies to deliver and maintain our services and site, improve the quality of Reddit, personalize Reddit content and advertising, and measure the effectiveness of advertising. Below is an example of a video created using Disco Diffusion (v5). Disco Diffusion 70+ Artist Studies. Wow! @ u/zippy731: Thank you for creating this :). Create an account to follow your favorite communities and start taking part in conversations. This is unlike the last article which explains a process using Blender to create these images. This is going to be a quick post but I wanted to do a test with some existing 360 drone images taken at Fly Ranch and convert them with Disco Diffusion to see what the end result looked like. Press play button for, - the moment is finally here, this is where you define your text prompt to guide the AI to render a particular image. After dabbling with the VQGAN+CLIP models and exploring the vibrant underground community, I moved on to the latest and greatest image generation tech, AI Diffusion Models. #2 - Prepare Folders & Google Drive - Do you have Google Drive with significant storage space available ? Disco Diffusion is a somewhat slow AI. Your email address will not be published. Great prompt writing tips in the subreddit r/deepdream channel. The basic concept in a nutshell the researchers developed a method where a training image, for example an image of a dog, can be slowly fed noise incrementally over many steps (thousands). AI - Yannic Kilcher YouTube Video on Diffusion Models Beat GANs on Image Synthesis paper. Diffusion Disco 5.2 Colab Notebook & Cheatsheet & Discord Server, Text Prompt Tips & Tricks - Spanish version - English Version. Daniel Russell has modified it for faster generations and more robust augmentations. 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. Disco Diffusion is a somewhat slow AI. User account menu. Whale home - artwork from Creature Homes collection. Reply . CLIP uses its image identification skills to iteratively guide the diffusion denoising process toward an image that closely matches a text prompt. The original Disco Diffusion colab and github repo can be found here and here. What about periods? Hey guys, I just started out a few days ago and am hooked watching everything unfold - it's mesmerizing. The idea is to align and stitch the 32 images taken from my Mavic 3 to create a 360 panorama like I usually do for any drone shots I take using PTGui. Visit the Fly Ranch Tour here. After enough iterations, you now have a traceable history (think animation frames in a video/animation) of a training image, the dog, going from complete coherence to complete noise. This reverse traversal requires some guidance, and thats where the AI magicians got creative, enter CLIP. Each iteration, or step, CLIP will evaluate the existing image against the prompt, and provide a direction to the diffusion process to properly denoise an image. Disco Diffusion What are Diffusion Models? Great prompt writing tips in the subreddit, CLIP Prompt Engineering for Generative Art, Introduction to Diffusion Models for Machine Learning, High Fidelity Image Generation Using Diffusion Models, Super-Resolution via Repeated Refinements. Press the play button near the Basic Settings text (right below the 3. Press play button for Animation Settings and Extra settings in sequence. Log In Sign Up. - If youre just starting off, I would recommend you change the, - Leave the remaining default values. Once you update your text prompt, keep everything else with the default values and Press the play button to the left of the the text_prompts: #8 - Diffuse ! Please, : Musiciansandartistswearingsequins, velvet clothes, tight jumpsuits, furs, fluidsatin dresses dancing Disco at Studio 54 in late 70s New York City, discoballs, bar tables with champagne glasses | render in vintage photo 70s style, Welcome to the second installment of the AI Magic - Generative Art series on, . Corrected name collision in sampling_mode (now diffusion_sampling_mode for plms/ddim, and sampling_mode for 3D transform sampling) Added video_init_seed_continuity option to make init video animations more continuous; Removed pytorch3d from needing to be compiled with a lite version specifically made for Disco Diffusion; Remove Super Resolution However, even after reading the Disco Diffusion Cheat Sheet and trying different prompts I am wondering if there is a best practice in directing the outcome? You do not have to use the last string. Note: the GPU being used for your notebook. Prompt structure - Best Practices/ Findings. to utilize it for image storage and AI model storage. #6 - Animation & Extra Settings - Leave untouched, defaults are fine. (!) And multiple strings? Settings title). The number of choices from diffusion and clip models has exploded. For example, did you find using simple word strings all within one quote to work better than each word in quotes? Try various "color-heavy" artists. They define a Markov chain of diffusion steps to slowly add random noise to data and then learn to reverse the diffusion process to construct desired data samples from the noise. This will launch your Google Colab runtime (if its not running already). Press the play button to the left of the Do the Run! Save my name, email, and website in this browser for the next time I comment. Press J to jump to the feed. Has anybody written up some guidance on what these do and how to combine them? This is unlike the last article which explains a process using Blender to create these images. Subscribe for free to receive new posts and support my work. Wow! Press play button and move on. As you can see in the image below, the result is incredible. Think about it as a picture you are watching and describe it with words. Thanks for reading Snippets & Bits - AI, software, science and technology! Diffusion-based Generative Art Models, AI Magic - Amazing World(s) of Generative Art, PROMPT: Computer code runs away from debugger chasing after it (VQGAN+CLIP), 1024x512, ~800 iterations What is this creative chaos you ask? A community for AI generated artwork made using the AMAZING Disco Diffusion program! Quick walkthrough to start generating images. 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 (CLIP) and a denoising diffusion model. Google Colab is a free cloud service hosted by Google to encourage Machine Learning and Artificial Intelligence . Fly Geyers Disco Diffusion 360 Panorama. It's a software written in Python, and meant to be run in a Google Colab notebook. To reduce blur, do "dof:-1" kinkade for color. Hey guys, I just started out a few days ago and am hooked watching everything unfold - its mesmerizing. Or if you have a VR headset you can view the tour as well for a fully immersive 360 experience. Yes, also interested if there's a "dummies" cheat sheet. If you want to use the turbo version, which speeds up animation significantly, the colab notebook is here. If so, you may want to check both boxes in section 1.2 Prepare Folders to utilize it for image storage and AI model storage. https://www.patreon.com/Quick_Eyed_Sky if you want to support and get prompts (and tips).Playlist of AI tutorials: https://youtube.com/playlist?list=PLc9_vne. If no GPU is found then you will not be able to run this notebook. It's magic. In summary, CLIP is the final piece to the solution, providing the guiding hand that helps keep the denoiser on task when building an image that aligns to the text prompt provided. 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. After enough iterations, you now have a traceable history (think animation frames in a video/animation) of a training image, the dog, going from complete coherence to complete noise. . Share Snippets & Bits - AI, software, science and technology. If you want to do animations longer than 15 seconds, you'll likely want to run the code locally on your machine. The number of choices from diffusion and clip models has exploded. Welcome to the second installment of the AI Magic - Generative Art series on Snippets & Bits. Settings title), Leave untouched, defaults are fine. "An AI Diffusion model fights an AI GAN Model for generative art supremacy inside of a computer in the cloud | render in Unreal Engine | Greg Rutkowski James Gurney Artstation" - Disco Diffusion v5.2. Once I have the proper alignment I then process each image as an init_image in DD with a skip time steps range of 90-110 with my initial iterations set at the default of 250. Robot standing guard to a secret lab. Click here to see the full tour in another tab (best experience). And I suggest you watch Quick-Eyed Sky youtube videos about DD, he explain a lot about settings. Thank you for posting this :). cut ic pow to 10 split the cut schedule into 200s and do like 10/8/6/2/0 for overview and the opposite for the innercut, and just play with the numbers a bunch prompts: always add beeple for blur, orbs and color. Disco Diffusion requires 12GB VRAM or more, but 16GB is highly recommended. It uses CLIP models, and can use multiple at the same time. It makes relatively realistic images, and is somewhat customizable. This takes quite a bit of time on my Titan RTX but the end results are worth it and this is what those 32 images look like in PTGui after processing. If you are interested in checking out Disco Diffusion, then check out our earlier post on getting . You can use the slider below to see the before and after. Here are some useful links and resources to learn more about AI Diffusion models and Disco Diffusion. Here are several more sample images I was able to produce while experimenting. Diffusion is an iterative process. Well, the conceptual breakthrough lies in reversing this process, by de-noising images from random noise into something comprehensible. NOTE: Numbers (#) refer to orange numbers and arrows in the diagrams below. initially. Disco Diffusion. Be descriptive, theres definitely an art to building your text prompts to get better results. If you havent read through it yet check out this link post so you know what the hell Im talking about. Links to additional material located in Resources section at the end of the post. , by de-noising images from random noise into something comprehensible. #1 - Launch Notebook & Check GPU - Launch the Disco Diffusion Google Colab Notebook by pressing the play button under section 1.1 Check CPU Status. Also look at CLIP Prompt Engineering for Generative Art, Relevant Twitter accounts (stolen from DD cheat sheet) somnai_dreams, gandamu_ml, zqevans, huemin_art, softologycomau , NerdyRodent, nonlethalcode, garlicml, pharmapsychotic, luciddreamnf1, AI - Denoising Diffusion AI Models Research PAPER & PAPER, AI - Introduction to Diffusion Models for Machine Learning. Oct 21. What type of prompt should be put in the last separate string? (thousands). to remove orbs, do "globe:-1". #7 - Prompts - the moment is finally here, this is where you define your text prompt to guide the AI to render a particular image. Disco Diffusion requires 12GB VRAM or more, but 16GB is highly recommended. If you want to run Disco Diffusion locally, the guide is here. Just Because Everyone Else Does Portals Doesn't Mean I "What we call reality is in fact nothing more than a Warmhead - Halloween theme @twistedvisions.ai, Press J to jump to the feed. The researchers train AI models to de-noise images and the model effectively learns methods to walk backwards and traverse those animation frames paths from a noisy image space back to a coherent, comprehensible image space. #1 - Launch Notebook & Check GPU - Launch the Disco Diffusion Google Colab Notebook by pressing the play button under section 1.1 Check CPU Status. iowa_man Artist . You can create machine learning generated images and videos with it. It is also very customizable. Once you get the hang of it, then feel free to increase this value to 250 or 500 (even 1000, if you have the horsepower). DISCO DIFFUSION Disco Diffusion is the evolution of VQGAN and works together with CLIP to connect prompts with images. #3 - Dependencies & Functions - Run the following sections, with their default values, in sequence 1.3, 1.4, 1.5, 1.6 (press their play buttons), #4 - Diffusion & Clip Settings - Keep the defaults and press the play button. The basic concept in a nutshell the researchers developed a method where a training image, for example an image of a dog, can be. - defines the number of images that get produced for one batch, I would recommend either. Disco Diffusion is a free tool that you can use to create AI generated art.
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