peacasso VS bitcoin_price_prediction

Compare peacasso vs bitcoin_price_prediction and see what are their differences.

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peacasso bitcoin_price_prediction
2 1
350 10
- -
3.3 0.0
9 months ago about 3 years ago
Jupyter Notebook Jupyter Notebook
MIT License 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.

peacasso

Posts with mentions or reviews of peacasso. We have used some of these posts to build our list of alternatives and similar projects.
  • [P] Mixing Prompts (with Weights) in Stable Diffusion Models
    1 project | /r/MachineLearning | 2 Nov 2022
    The concept is not entirely novel, but figuring out a good user experience is the more interesting part. It is implemented in the Peacasso library (based on huggingface diffusers).
  • [P] Peacasso - A Web UI for Stable Diffusion Models
    1 project | /r/MachineLearning | 4 Sep 2022
    Peacasso - a UI for interacting with stable diffusion models. As text to image models become smaller, with available weights and generate competitive images (e.g. stable diffusion models), there have been efforts to build interfaces for interacting with these models. Code and instructutions can be found on Github - https://github.com/victordibia/peacasso.

bitcoin_price_prediction

Posts with mentions or reviews of bitcoin_price_prediction. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing peacasso and bitcoin_price_prediction you can also consider the following projects:

stablediffusion-infinity - Outpainting with Stable Diffusion on an infinite canvas

mlnotify - 🔔 No need to keep checking your training - just one import line and you'll know the second it's done.