doohickey VS stable-diffusion-lite

Compare doohickey vs stable-diffusion-lite and see what are their differences.

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)
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doohickey stable-diffusion-lite
1 2
39 18
- -
10.0 10.0
over 1 year ago over 1 year ago
Jupyter Notebook Jupyter Notebook
- MIT License
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.

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
    14 projects | /r/StableDiffusion | 20 Sep 2022
    (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."

stable-diffusion-lite

Posts with mentions or reviews of stable-diffusion-lite. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-20.

What are some alternatives?

When comparing doohickey and stable-diffusion-lite you can also consider the following projects:

HidamariDiffusionColab - colab for stable diffusion

stable-diffusion-colab - Adapdet for google colab

ai-notebooks - Various ai notebooks

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]

notebooks - Notebooks using the Hugging Face libraries 🤗

PyVaporation - The solution for modelling pervaporation membrane performance based on experimental data

diffusers - 🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

stable_diffusion_interp

easydiffusion - Easiest 1-click way to create beautiful artwork on your PC using AI, with no tech knowledge. Provides a browser UI for generating images from text prompts and images. Just enter your text prompt, and see the generated image.