Diffusion-Models-Papers-Survey-Taxonomy VS blended-latent-diffusion

Compare Diffusion-Models-Papers-Survey-Taxonomy vs blended-latent-diffusion and see what are their differences.

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Diffusion-Models-Papers-Survey-Taxonomy blended-latent-diffusion
2 1
2,683 514
- -
6.9 4.5
2 months ago 5 months ago
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.

Diffusion-Models-Papers-Survey-Taxonomy

Posts with mentions or reviews of Diffusion-Models-Papers-Survey-Taxonomy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-18.

blended-latent-diffusion

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

What are some alternatives?

When comparing Diffusion-Models-Papers-Survey-Taxonomy and blended-latent-diffusion you can also consider the following projects:

DreamCraft3D - [ICLR 2024] Official implementation of DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior

Kandinsky-2 - Kandinsky 2 — multilingual text2image latent diffusion model

Awesome-Text-to-Image - (ෆ`꒳´ෆ) A Survey on Text-to-Image Generation/Synthesis.

Rerender_A_Video - [SIGGRAPH Asia 2023] Rerender A Video: Zero-Shot Text-Guided Video-to-Video Translation