stable_diffusion_interp
By isaac-bender
doohickey
Doohickey is a stable diffusion tool for technical artists who want to stay up-to-date with the latest developments in the field. (by aicrumb)
stable_diffusion_interp | doohickey | |
---|---|---|
1 | 1 | |
11 | 39 | |
- | - | |
10.0 | 10.0 | |
over 1 year ago | over 1 year ago | |
Jupyter Notebook | Jupyter Notebook | |
- | - |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
stable_diffusion_interp
Posts with mentions or reviews of stable_diffusion_interp.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-09-20.
-
List of Stable Diffusion systems - Part 3
(Added Aug. 23, 2022) Colab notebook DrEyeBender's Stable Diffusion notebook - Public copy by isaac-bender. GitHub repo. txt2img. Uses CompVis repo.
doohickey
Posts with mentions or reviews of doohickey.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-09-20.
-
List of Stable Diffusion systems - Part 3
(Added Sep. 16, 2022) Colab notebook Doohickey_Diffusion by aicrumb. GitHub repo. Tutorial. txt2img. img2img. Optionally can use guidance by a CLIP-like model, instead of using classifier-free guidance. "CLIP Guidance can increase the quality of your image the slightest bit [...]. [...] it slows down the generation time by around 5x."
What are some alternatives?
When comparing stable_diffusion_interp and doohickey you can also consider the following projects:
HidamariDiffusionColab - colab for stable diffusion
notebooks - Notebooks using the Hugging Face libraries 🤗
ai-notebooks - Various ai notebooks
stable-diffusion
S2ML-Art-Generator - Multiple notebooks which allow the use of various machine learning methods to generate or modify multimedia content [Moved to: https://github.com/justin-bennington/S2ML-Generators]
stable-diffusion - k_diffusion wrapper included for k_lms sampling. fixed for notebook.
PyVaporation - The solution for modelling pervaporation membrane performance based on experimental data
stable-diffusion-lite
sd-webui-colab - A repo for the maintenance of the Colab version of stable-diffusion-webui repo
stable_diffusion_interp vs HidamariDiffusionColab
doohickey vs HidamariDiffusionColab
stable_diffusion_interp vs notebooks
doohickey vs ai-notebooks
stable_diffusion_interp vs stable-diffusion
doohickey vs S2ML-Art-Generator
stable_diffusion_interp vs stable-diffusion
doohickey vs notebooks
stable_diffusion_interp vs ai-notebooks
doohickey vs PyVaporation
stable_diffusion_interp vs stable-diffusion-lite
doohickey vs sd-webui-colab