Paella
Official Implementation of Paella https://arxiv.org/abs/2211.07292v2 (by dome272)
Compositional-Visual-Generation-with-Composable-Diffusion-Models-PyTorch
[ECCV 2022] Compositional Generation using Diffusion Models (by energy-based-model)
| Paella | Compositional-Visual-Generation-with-Composable-Diffusion-Models-PyTorch | |
|---|---|---|
| 6 | 2 | |
| 729 | 433 | |
| - | 1.6% | |
| 4.7 | 3.8 | |
| 7 months ago | 11 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | GNU General Public License v3.0 or later |
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.
Paella
Posts with mentions or reviews of Paella.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-26.
- Like Diffusion but Faster: The Paella Model for Fast Image Generation
-
Paella: CNN based Fast Text-Conditional Discrete Denoising on Vector-Quantized Latent Spaces
Code at Github: https://github.com/dome272/Paella
- Paella, a novel text-to-image model requiring less than 10 steps to sample high-fidelity images
- Paella: a blazing fast diffuser (even works on CPU only, 8GB system RAM)
-
How large is a machine learning algo?
The "code" to run the training or to generate images is actually very tiny. Paella, for instance is a few hundred lines of code, that's a complete working training and image generation code.
Compositional-Visual-Generation-with-Composable-Diffusion-Models-PyTorch
Posts with mentions or reviews of Compositional-Visual-Generation-with-Composable-Diffusion-Models-PyTorch.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-09-15.
- Help with Composable-Diffusion
-
Compositional Diffusion
Composable Diffusion
What are some alternatives?
When comparing Paella and Compositional-Visual-Generation-with-Composable-Diffusion-Models-PyTorch you can also consider the following projects:
Wuerstchen - Official implementation of Würstchen: Efficient Pretraining of Text-to-Image Models
gansformer - Generative Adversarial Transformers
stable-diffusion-compositional
Catlab.jl - A framework for applied category theory in the Julia language
Awesome-Diffusion-Models - A collection of resources and papers on Diffusion Models
score_sde - Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
score_sde_pytorch - PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
diffusion_models - Minimal standalone example of diffusion model
Paella vs Wuerstchen
Compositional-Visual-Generation-with-Composable-Diffusion-Models-PyTorch vs gansformer
Compositional-Visual-Generation-with-Composable-Diffusion-Models-PyTorch vs stable-diffusion-compositional
Compositional-Visual-Generation-with-Composable-Diffusion-Models-PyTorch vs Catlab.jl
Compositional-Visual-Generation-with-Composable-Diffusion-Models-PyTorch vs Awesome-Diffusion-Models
Compositional-Visual-Generation-with-Composable-Diffusion-Models-PyTorch vs score_sde
Compositional-Visual-Generation-with-Composable-Diffusion-Models-PyTorch vs score_sde_pytorch
Compositional-Visual-Generation-with-Composable-Diffusion-Models-PyTorch vs diffusion_models