meadowrun_dallemini_demo
A demo of using Meadowrun to run DALL·E Mini, GLID3-XL, and SwinIR in an image generation pipeline [Moved to: https://github.com/meadowdata/meadowrun-dallemini-demo] (by meadowdata)
SwinIR
SwinIR: Image Restoration Using Swin Transformer (official repository) (by hrichardlee)
meadowrun_dallemini_demo | SwinIR | |
---|---|---|
1 | 1 | |
0 | 0 | |
- | - | |
10.0 | 0.0 | |
almost 2 years ago | almost 2 years ago | |
Python | Python | |
- | Apache License 2.0 |
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.
meadowrun_dallemini_demo
Posts with mentions or reviews of meadowrun_dallemini_demo.
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
We’ll then need to open the main notebook in Jupyter, and edit S3_BUCKET_NAME and S3_BUCKET_REGION to match the bucket we created in the first half of this article.
SwinIR
Posts with mentions or reviews of SwinIR.
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
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.
What are some alternatives?
When comparing meadowrun_dallemini_demo and SwinIR you can also consider the following projects:
glid-3-xl - 1.4B latent diffusion model fine tuning
latent-diffusion - High-Resolution Image Synthesis with Latent Diffusion Models
meadowrun - Meadowrun makes it easy to run your code on the cloud
SwinIR - SwinIR: Image Restoration Using Swin Transformer (official repository)
latent-diffusion - High-Resolution Image Synthesis with Latent Diffusion Models
warehouse - The Python Package Index
dalle-flow - 🌊 A Human-in-the-Loop workflow for creating HD images from text
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/