glid-3-xl
meadowrun_dallemini_demo
| glid-3-xl | meadowrun_dallemini_demo | |
|---|---|---|
| 7 | 1 | |
| 257 | 0 | |
| - | - | |
| 0.0 | 10.0 | |
| almost 2 years ago | almost 2 years ago | |
| Python | Python | |
| MIT License | - |
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glid-3-xl
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Run Your Own DALL·E Mini (Craiyon) Server on EC2
If you’re anything like us, though, you’ll feel compelled to poke around the code and run the model yourself. We’ll do that in this article using Meadowrun, an open-source library that makes it easy to run Python code in the cloud. For ML models in particular, we just added a feature for requesting GPU machines in a recent release. We’ll also feed the images generated by DALL·E Mini into additional image processing models (GLID-3-xl and SwinIR) to improve the quality of our generated images. Along the way we’ll deal with the speedbumps that come up when running open-source ML models on EC2.
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[D] Has anyone trained the latent diffusion models by OpenAI(CompVis)? Need some help
Personally, I've found GLID3 and GLID3-XL to be nice and straightforward. Worked right out of the box.
- [D] Any relatively new text2image models with fine tuning?
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Trying to remember the name of an upscaler. I thought it was Glide XL or something.
GLID-3-XL?
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Waiting for Dall-e 2's release feels like waiting for a birthday gift.
I've been using the Glid-3 XL model. Here are some examples of what I've been able to do with it:
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Cyberpunk Anime Girl progressive enhancement
This was made with Glid-3 XL
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"Woah there, Dragonman!" (16 output images with CompVis latent diffusion)
The above notebooks use GitHub repo GLID-3-XL from Jack000. Regarding CLIP guidance, Jack000 states, "better adherence to prompt, much slower" (compared to classifier-free guidance).
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.
What are some alternatives?
latent-diffusion - High-Resolution Image Synthesis with Latent Diffusion Models
meadowrun - Meadowrun makes it easy to run your code on the cloud
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 Stable Diffusion (past: using DALL-E Mini)
glide-text2im - GLIDE: a diffusion-based text-conditional image synthesis model
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/
meadowrun-dallemini-demo - A demo of using Meadowrun to run DALL·E Mini, GLID3-XL, and SwinIR in an image generation pipeline
SwinIR - SwinIR: Image Restoration Using Swin Transformer (official repository)
SwinIR - SwinIR: Image Restoration Using Swin Transformer (official repository)
glid-3-xl - 1.4B latent diffusion model fine tuning
warehouse - The Python Package Index