--- title: "disco-diffusion" type: "tool" slug: "alembics-disco-diffusion" canonical_url: "https://www.graphcanon.com/tools/alembics-disco-diffusion" github_url: "https://github.com/alembics/disco-diffusion" homepage_url: null stars: 7404 forks: 1091 primary_language: "Jupyter Notebook" license: "Other" archived: false categories: ["llm-frameworks", "model-training", "speech-audio"] tags: ["jupyter-notebook"] updated_at: "2026-07-11T23:09:32.359401+00:00" --- # disco-diffusion > disco-diffusion ## Facts - Repository: https://github.com/alembics/disco-diffusion - Stars: 7,404 · Forks: 1,091 · Open issues: 72 · Watchers: 113 - Primary language: Jupyter Notebook - License: Other - Last pushed: 2023-07-09T06:30:00+00:00 ## Trust & health _Signals computed from public GitHub metadata. Not a security guarantee._ - Maintenance: Dormant (computed 2026-07-11T23:09:19.294Z) - Security scan: No lockfile (0 critical, 0 high, 0 medium, 0 low) · last scan 2026-07-11T23:09:19.807Z - Full report: [trust report](/tools/alembics-disco-diffusion/trust.md) · [JSON](https://www.graphcanon.com/api/graphcanon/tools/alembics-disco-diffusion/trust) ## Categories - [LLM Frameworks](/categories/llm-frameworks.md) - [Model Training](/categories/model-training.md) - [Speech & Audio](/categories/speech-audio.md) ## Tags jupyter notebook ## Category neighbours (exploratory) _Same-category tools for discovery only - not curated alternatives. 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What this means is you do not have to touch the notebook directly to make changes to it the tool being used is called [Colab-Convert](https://github.com/MSFTserver/colab-convert) - install using `pip install colab-convert` - convert .py to .ipynb `colab-convert /path/to/file.py /path/to/file.ipynb` - convert .ipynb to .py `colab-convert /path/to/file.ipynb /path/to/file.py` ## Changelog #### v1 Oct 29th 2021 - Somnai - Initial QoL improvements added, including user friendly UI, settings+prompt saving and improved google drive folder organization. #### v1.1 Nov 13th 2021 - Somnai - Now includes sizing options, intermediate saves and fixed image prompts and perlin inits. unexposed batch option since it doesn't work #### v2 Update: Nov 22nd 2021 - Somnai - Initial addition of Katherine Crowson's Secondary Model Method (https://colab.research.google.com/drive/1mpkrhOjoyzPeSWy2r7T8EYRaU7amYOOi#scrollTo=X5gODNAMEUCR) - Fix for incorrectly named settings files #### v3 Update: Dec 24th 2021 - Somnai - Implemented Dango's advanced cutout method - Added SLIP models, thanks to NeuralDivergent - Fixed issue with NaNs resulting in black images, with massive help and testing from @Softology - Perlin now changes properly within batches (not sure where this perlin_regen code came from originally, but thank you) #### v4 Update: Jan 2022 - Somnai - Implemented Diffusion Zooming - Added Chigozie keyframing - Made a bunch of edits to processes #### v4.1 Update: Jan 14th 2022 - Somnai - Added video input mode - Added license that somehow went missing - Added improved prompt keyframing, fixed image_prompts and multiple prompts - Improved UI - Significant under the hood cleanup and improvement - Refined defaults for each mode - Removed SLIP models for the time being due to import conflicts - Added latent-diffusion SuperRes for sharpening - Added resume run mode #### v5 Update: Feb 20th 2022 - gandamu / Adam Letts - Added 3D animation mode. Uses weighted combination of AdaBins and MiDaS depth estimation models. Uses pytorch3d for 3D transforms on Colab and/or Linux. #### v5.1 Update: Mar 30th 2022 - zippy / Chris Allen and gandamu / Adam Letts - 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) - 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 - Remove Slip Models - Update for crossplatform support #### v5.1 Update: Apr 4th 2022 - MSFTserver aka HostsServer - Removed pytorch3d from needing to be compiled with a lite version specifically made for Disco Diffusion - Remove Super Resolution - Remove Slip Models - Update for crossplatform support #### v5.2 Update: Apr 10th 2022 - nin_artificial / Tom Mason - VR Mode #### v5.3 Update: Jun 10th 2022 - nshepperd, huemin, cut_pow - Horizontal and Vertical symmetry - Addition of ViT-L/14@336px model (requires high VRAM) #### v5.4 Update: Jun 14th 2022 - devdef / Alex Spirin, integrated into DD main by gandamu / Adam L ``` --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/tools/alembics-disco-diffusion`](/api/graphcanon/tools/alembics-disco-diffusion) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_