. In settings reduce the resolution drastically (to 128x128) and see if that helps. Disco diffusion is an incredibly powerful free and open source AI image generator, which is easy to use on vast.ai. You might notice that this doesnt automatically open jupyter in your browser. Well now create and activate a conda environment (inside Ubuntu) with all the appropriate dependencies. Created by Somnai, augmented by Gandamu, and building on the work of RiversHaveWings , nshepperd, and many others. AI. Now includes an experimental batch mode to create as many videos as you want with different prompts, with only 1 run. Disco Diffusion v5 Turbo, with 3D animation, running locally. 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 Reddit and its partners use cookies and similar technologies to provide you with a better experience. [NEW] no WSL needed Guide located here. Ie type yes when it asks you to, and ask it to run conda init for you when prompted. Reducing by doing 1 or all of the following: If this works, slowly add back models and increase resolution until you find out where the limit is for your GPU. CUDA kernel errors might be asynchronously reported at some other API call,so the stacktrace below might be incorrect. All of these images were generated purely through DD on vast.ai, without any other tools or clean up. Cookie Notice For more information, please see our To check which version you're running, open cmd and type: If youre on 21H2 or later, youre good to go. i met mistakes on step3 here's the code Checking 512 Diffusion File 512 Model SHA matches Checking Secondary Diffusion File Secondary Model SHA matches Find a location you want to download the notebook to, maybe create a new folder for it. So far, I've written about three types of generative models, GAN, VAE, and Flow-based models. Copy the entire repo into a folder in your Ubuntu environment. Option 1 for how to actually run the code and get images / video. Extract the zip, and copy the .ipynb file to the desired folder in Ubuntu. Disco Diffusion What are Diffusion Models? This is usually somewhere like "\wsl$\Ubuntu\home\USERNAME". 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. Files can be created while the script is running, without interruption! By rejecting non-essential cookies, Reddit may still use certain cookies to ensure the proper functionality of our platform. Daniel Russell has modified it for faster generations and more robust augmentations. One of the folders you copied should be called "queue". For issues, join the Disco Diffusion Discord or message us on twitter at @somnai_dreams or @gandamu [ ] Disco Diffusion 5.6 Update with Portrait Generator! This will run a virtual machinelike Ubuntu installation on Windows. Demo with 6 AIArt prompts included! For me personally, the required update was not showing, but I was able to install it by using the Windows 10 Update Assistant. Some options must be specified once, and will be used for all items in the queue. . Note that this is currently experimental, and intended for creating a series of videos (not images). It requires the Google Colab notebook to run. They should install further required dependencies and download all the models for you. Open your new Ubuntu app (and fix any errors that come up on first launch. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. Windows 11: Windows 11 should work but it doesn't hurt to update to the latest version before continuing :) (note though that I've created and tested this on Windows 10) AI-Disco Diffusion. Thats okay! Thanks so much!! - Generate Your Image Step 7: Wait For Image to Generate Step 8: Image is Finished Generating Where Are Images Located Nvidia GPU with at least 8GB VRAM. They should ve named "queue_1.txt" onwards, without any gaps. Disco Diffusion 70+ Artist Studies. Getting the latest versions of Disco Diffusion (at time of writing this is v5 with Turbo and 3D Animation) to work locally, instead of colab. | Disco Diffusion use_secondary_model: () Clip DD Be as specific as possible. With Disco Diffusion, you can not only create images from prompts but also videos! __bilibili. I've been hard at work for the last few days putting together a set of comparisons exploring the results given. Disco Diffusion DALL-E 2 Prompt #2 A scenic view of a Scottish loch in the Isle of Skye Disco Diffusion DALL-E 2 Prompt #3 A lady in a long white dress lying amongst many large snakes,. Also, for my uses, fixing all those features works fine. Windows 10: You must be running at least feature update 21H2 for your GPU to work. (Im currently working on a cleaner interface, make sure to star and watch the repo to see when this goes live). This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. This AI art generator is similar to Stable Diffusion. Close your Ubuntu terminal and open it again. If it gives you a long list of conda options, that means its successfully installed Anaconda within Ubuntu! This involves setting up a folder with settings files, which the notebook will work through 1 by 1. Thanks to SOMNAI for this notebook: https://colab.research.google.com/drive/1sHfRn5Y0YKYKi1k-ifUSBFRNJ8_1sa39Their twitter: https://twitter.com/Somnai_dreamsWatch my previous video on Disco Diffusion for more info on fine tuning each frame: https://youtu.be/Dx2G940Pao8I also have two videos on using CLIP + RGB pixel editing with Aphantasia and IllusTrip:https://youtu.be/-FrIui8Mp-8https://www.youtube.com/KTyLfDf6lRsJoin this channel to get access to perks:https://www.youtube.com/channel/UCaZuPdmZ380SFUMKHVsv_AA/joinLearn more about machine learning for image makers by signing up at https://mailchi.mp/da905fbd76ee/machine-learning-artistsJoin the Artificial Images Slack channel: https://join.slack.com/t/ml-images/shared_invite/enQtNzU1MjAzMDQ2MjMwLTc4MTY3ZGM3MzAxNmE3MWYxNTQ0YmY4YTliZjNmMzUxMWQ4YThjZmU5Y2ZhOTU0ZjcxMDk3NWRlY2I0ZjlhOGUhttp://artificial-images.com/https://www.patreon.com/bustbrighthttps://bustbright.com/https://www.instagram.com/dvsmethid/https://twitter.com/dvschhttps://dvschultz.github.io/design/ Follow the on-screen instructions. You can access it easily by typing explorer.exe . In case of confusion, Disco is the name of this notebook edit. @ . AI, AI, Google ColabTelsa4.0/it3070Google ColabPro+3080ti720P30901080P, https://www.sugarcanesama.com/?p=782, 2022/6/18, Google Colab, TutorialSet UpDiffusion and CLIP model settingsSettingsDiffuse, base, 1.2-1.6, diffusion_model512512256256512512use_secondary_modeldiffusion_sampling_modeddimplmsViTRNCLIPPRO+RAM, -Basic Settings:batch_namesteps2001000width_height64clip_guidance_scale500010000RGBTutorial, -Init Settings:init_imageNoneGoogle Colabinit_scale1000.skip_stepssteps-skip_stepskip_stepsstep50%, intermediate_saves01150%233%166%1intermediates_in_subfolderAdvanced Settings:Cutn Scheduling, A beautiful painting of a singular lighthouse, shining its light across a tumultuous sea of blood by greg rutkowski and thomas kinkade, Trending on artstation., yellow color scheme, AI0:[]A beautiful painting ofa singular lighthouse, shining its light across a tumultuous sea of bloodby greg rutkowski and thomas kinkadeTrending on artstationCGyellow color scheme, AI, display_rateStep5n_batchesstep, Gitdownload for Windows, GithubGit Bash Here, IDEVScodeDownload for Windows, AnacondaWindowsAnaconda Navigator, Vscode->, Disco_Diffusion.ipynb, VS CODE, Set UpGUPDecodeError, PythonInstallbase, 1.2,1.31.3Module1.31.3, AnacondaEnvironmentbasebaseOpen terminal, AnacondaAnaconda, NVCUDANVIDIA CUDA 11.6.110CUDA11.6, Pytorch11.310.2CUDA10.2360, Run this CommandAnaconda, conda install pytorch torchvision torchaudio cudatoolkit=11.3 -c pytorch, xxx module missingnot foundpip install xxxxxxxxmodule, Torch not compiled with CUDA enabledCUDACUDA11.3CUDACUDA Toolkit 11.3.010.2CUDACCUDNN11.x10CUDNNCUDAC:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.3, CUDNNlicence, PathCUDA, Missing/Not FoundMiDaS/Infermidas/Infermidasmidasimport midasNo module named midas.dpt_depthmidas.dpt_depthMiDaS.midas.dpt_depthInferAdaBinsAdaBins.Infer., UnicodeDecodeErrormidaswith openopenopencvwith open(xxx, r, encoding=utf-8)xxxx, r, encoding=utf-8, https://pan.baidu.com/s/1rE-3amZQ8gBEXIQcetawCQ gmi1, modelsdisco-diffusion\models, VScode4.Diffuse!, FILTER DAXUPFILTER( '' , )ALL FILTERAND/OR. To make this guide as easy to follow as possible, Ill also show an easier way. If you don't know how to do this, click "code" and "download zip" on this repo. can I ask you a question that when I initially run all the code at https://colab.research.google.com/github/alembics/disco-diffusion/blob/main/Disco_Diffusion.ipynb#scrollTo=DefSecModelI met a problem at this step "2. However, Microsoft have implemented this at a very low level, meaning almost no performance hit and GPU support! Disco Diffusion is written in Python by Somnai, an artist, designer, and coder. Reddit and its partners use cookies and similar technologies to provide you with a better experience. Privacy Policy. Now install the correct version of pytorch: Finding the above took a lot of trial and error. With the right settings and powerful GPUs, it can generate artist quality high-res images for a wide variety of subjects. Disco Diffusion is one of the machine learning models that convert text to image. You can synthesize the queue files from the command line, simply navigate to the cloned repository and type: The above will run all cells in the jupyter notebook from the command line. You are welcome to submit issues for bugs / feature requests, or even your own pull requests if you want to improve this ;). Thanks to SOMNAI for this notebook: https://colab.research.google.com/drive/1sHfRn5Y0YKYKi1k-ifUSBFRNJ8_1sa39Their twitter: https://twitter.com/Somnai_dreams. 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. With this issue #20 I downloaded the models manually and put them in the models-folder, wouldn't that work? AI. Open this, and specify what settings you want in "master_settings". Option 2 for how to actually run the code and get images / video. Just look for the URL starting with localhost, copy this, and paste it into your browser on Windows. If you are interested in checking out Disco Diffusion, then check out our earlier post on getting . The tool I've been experimenting with over the past few weeks is called Disco Diffusion (DD). So, basically, you should do the following: Diffusion and CLIP model settings: Models Settings diffusion_model: custom use_secondary_model: off Custom model custom_path: (specify path to your model here) Custom model settings Modify in accordance with your training settings (the defaults work for the 1st model from my training colab) Settings A tag already exists with the provided branch name. In settings reduce the resolution drastically (to 128x128) and see if that helps. Hey guys! Cookie Notice One of the last cells asks for text_prompts, which you can specify to create whatever you wish! Step 5, Option 2. The difficulty was finding a pytorch and cudatoolkit combination which works with pytorch3d (required later). That should be it! 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. Now you want to download, then run, the Linux Anaconda installer as follows. This will allow you to specify prompts for as many different videos as you would like, and create them all with a single run of a notebook. E. . Diffusion and CLIP model settings, try disabling all models except for 1 (and keep use secondary model). Along the way, you can change any settings you would like. imagen-pytorch - Implementation of Imagen, Google's Text-to. This is still a fucking problem, thank you so much for hosting these. Diffusion models are inspired by non-equilibrium thermodynamics. Must be specified in "queue/queue_1.txt", "queue/queue_2.txt" etc. Diffusion and CLIP model settings" which says "FileNotFoundError: [Errno 2] No such file or directory: '/content/drive/MyDrive/AI/Disco_Diffusion/models/secondary_model_imagenet_2.pth' " , I through this path and only find the file called "dpt_large-midas-2f21e586.pt" , can I ask how to solve this problem? Are you sure you want to create this branch? They have . You signed in with another tab or window. [AI]disco diffusionAI !. [Updated on 2022-08-27: Added classifier-free guidance, GLIDE, unCLIP and Imagen. ( One thing I did not point out but meant to, I have the secondary mod. 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