latent-diffusion
High-Resolution Image Synthesis with Latent Diffusion Models (by hrichardlee)
dalle-playground
A playground to generate images from any text prompt using DALL-E Mini and based on OpenAI's DALL-E https://openai.com/blog/dall-e/ (by hrichardlee)
latent-diffusion | dalle-playground | |
---|---|---|
1 | 1 | |
0 | 6 | |
- | - | |
1.8 | 0.0 | |
almost 2 years ago | over 1 year ago | |
Jupyter Notebook | JavaScript | |
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.
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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.
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 2022-07-26.
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Run Your Own DALL·E Mini (Craiyon) Server on EC2
We’re referencing our three models directly as git repos (because they’re not available as packages in PyPI) in model_requirements.txt, but we had to make a few changes to make these repos work as pip packages. Pip looks for a setup.py file in the git repo to figure out which files from the repo need to be installed into the environment, as well as what the dependencies of that repo are. GLID-3-xl and latent-diffusion (another diffusion model that GLID-3-xl depends on) had setup.py files that needed tweaks to include all of the code needed to run the models. SwinIR didn’t have a setup.py file at all, so we added one. Finally, all of these setup.py files needed additional dependencies, which we just added to the model_requirements.txt file.
dalle-playground
Posts with mentions or reviews of dalle-playground.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-07-26.
-
Run Your Own DALL·E Mini (Craiyon) Server on EC2
Next, we want the code in the https://github.com/hrichardlee/dalle-playground repo, and we want to construct a pip environment from the backend/requirements.txt file in that repo. We were almost able to use the saharmor/dalle-playground repo as-is, but we had to make one change to add the jax[cuda] package to the requirements.txt file. In case you haven’t seen jax before, jax is a machine-learning library from Google, roughly equivalent to Tensorflow or PyTorch. It combines Autograd for automatic differentiation and XLA (accelerated linear algebra) for JIT-compiling numpy-like code for Google’s TPUs or Nvidia’s CUDA API for GPUs. The CUDA support requires explicitly selecting the [cuda] option when we install the package.
What are some alternatives?
When comparing latent-diffusion and dalle-playground you can also consider the following projects:
SwinIR - SwinIR: Image Restoration Using Swin Transformer (official repository)
dalle-flow - 🌊 A Human-in-the-Loop workflow for creating HD images from text
jax - Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
dalle-playground - A playground to generate images from any text prompt using Stable Diffusion (past: using DALL-E Mini)
latent-diffusion - High-Resolution Image Synthesis with Latent Diffusion Models
glid-3-xl - 1.4B latent diffusion model fine tuning
meadowrun - Meadowrun makes it easy to run your code on the cloud