SwinIR
meadowrun-dallemini-demo
SwinIR | meadowrun-dallemini-demo | |
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1 | 1 | |
0 | 0 | |
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0.0 | 0.0 | |
almost 2 years ago | over 1 year ago | |
Python | Python | |
Apache License 2.0 | - |
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SwinIR
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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.
meadowrun-dallemini-demo
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Run Your Own DALL·E Mini (Craiyon) Server on EC2
For the second half of this article, we’ll use meadowdata/meadowrun-dallemini-demo which contains a notebook for running multiple models as sequential batch jobs to generate images using Meadowrun. The combination of models is inspired by jina-ai/dalle-flow.
What are some alternatives?
latent-diffusion - High-Resolution Image Synthesis with Latent Diffusion Models
dalle-playground - A playground to generate images from any text prompt using Stable Diffusion (past: using DALL-E Mini)
SwinIR - SwinIR: Image Restoration Using Swin Transformer (official repository)
glid-3-xl - 1.4B latent diffusion model fine tuning
meadowrun - Meadowrun makes it easy to run your code on the cloud
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/