latent-diffusion VS stable-diffusion

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

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latent-diffusion stable-diffusion
70 20
10,622 1,023
2.8% -
0.0 0.0
2 months ago about 1 year 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.

latent-diffusion

Posts with mentions or reviews of latent-diffusion. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-21.

stable-diffusion

Posts with mentions or reviews of stable-diffusion. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-03.

What are some alternatives?

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

disco-diffusion

stable-diffusion - A latent text-to-image diffusion model

dalle-mini - DALL·E Mini - Generate images from a text prompt

hent-AI - Automation of censor bar detection

examples - Deep Learning Examples

dalle-2-preview

DALLE2-pytorch - Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch

VQGAN-CLIP - Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.

CLIP - CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

tortoise-tts - A multi-voice TTS system trained with an emphasis on quality