meadowrun_dallemini_demo
dalle-playground
meadowrun_dallemini_demo | dalle-playground | |
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1 | 35 | |
0 | 2,763 | |
- | - | |
10.0 | 3.2 | |
almost 2 years ago | 5 months ago | |
Python | JavaScript | |
- | MIT License |
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meadowrun_dallemini_demo
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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.
dalle-playground
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Discord bot with a locally-hosted SD backend.
Built on dalle-playground because it is simple and I like it.
- Neural photo engine with Intel compute stick?
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Free/open-source AI Text-To-Image Models that can be run on AWS?
[1] https://github.com/saharmor/dalle-playground
- ai_irl
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Running Dall-e mini on Windows? (Or: Are there any equivalent text-to-image AI's I can run on a windows PC with a 2080 TI?)
If you decide to abandon the idea of running locally and want to run in the cloud instead, https://github.com/saharmor/dalle-playground has a Google Colab notebook that's relatively easy to run (although Google Colab's free tier is relatively limited).
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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.
- Dream's over guys...
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How to run DALLE-2 locally
Is their any way to run DALLE-2 inside of a docker container similarly to this DALLE-PLAYGROUND repo on github?
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How difficult would it be to set up your own DALL-E (mini/mega) API for side-projects?
I know there are open source projects like dalle-playground. Would it literally be enough to host this app on an EC2 instance with the mini model?
- an AI image generator capable of taking a prompt and making it come to life.
What are some alternatives?
glid-3-xl - 1.4B latent diffusion model fine tuning
dalle-mini - DALL·E Mini - Generate images from a text prompt
meadowrun - Meadowrun makes it easy to run your code on the cloud
Dannjs - Easy to use Deep Neural Network Library for JavaScript.
CogVideo - Text-to-video generation. The repo for ICLR2023 paper "CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers"
min-dalle - min(DALL·E) is a fast, minimal port of DALL·E Mini to PyTorch
nano-neuron - 🤖 NanoNeuron is 7 simple JavaScript functions that will give you a feeling of how machines can actually "learn"
pollinations - Generate Art
AI-Expert-Roadmap - Roadmap to becoming an Artificial Intelligence Expert in 2022
dalle-flow - 🌊 A Human-in-the-Loop workflow for creating HD images from text
projectlearn-project-based-learning - A curated list of project tutorials for project-based learning.
worldle