latent-diffusion
glid-3-xl
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latent-diffusion | glid-3-xl | |
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70 | 7 | |
10,575 | 255 | |
5.4% | - | |
0.0 | 0.0 | |
about 2 months ago | almost 2 years ago | |
Jupyter Notebook | Python | |
MIT License | MIT License |
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latent-diffusion
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SDXL: The next generation of Stable Diffusion models for text-to-image synthesis
Stable Diffusion XL (SDXL) is the latest text-to-image generation model developed by Stability AI, based on the latent diffusion techniques. SDXL has the potential to create highly realistic images for media, entertainment, education, and industry domains, opening new ways in practical uses of AI imagery.
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Is it possible to create a checkpoint from scratch?
Here's a link to the early latent-diffusion git, that might be able to create a blank model (I haven't tested it): https://github.com/CompVis/latent-diffusion
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Anything better than pix2pixHD?
Latent diffusion could work for you: https://github.com/CompVis/latent-diffusion (https://arxiv.org/abs/2112.10752)
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Image Upscaler AI
There are a lot but the one implemented as LDSR in most stable guis is this one. https://github.com/CompVis/latent-diffusion
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I've been collecting millions of images of only public domain /cc0 licensing. I'd like to train a stable diffusion model on the collection. Could some one share their knowledge of what this would take? Otherwise, simply enjoy my library.
CompVis/latent-diffusion: High-Resolution Image Synthesis with Latent Diffusion Models (github.com)
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Run Clip on iPhone to Search Photos
The "retrieval based model" refers to https://github.com/CompVis/latent-diffusion#retrieval-augmen..., which uses ScaNN to train a knn embedding searcher.
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Class Action Lawsuit filed against Stable Diffusion and Midjourney.
Stability is basically https://github.com/CompVis/latent-diffusion + training data.
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[D] Influential papers round-up 2022. What are your favorites?
Found relevant code at https://github.com/CompVis/latent-diffusion + all code implementations here
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Can anyone explain differences between sampling methods and their uses to me in simple terms, because all the info I've found so far is either very contradicting or complex and goes over my head
DDIM and PLMS were the original samplers. They were part of Latent Diffusion's repository. They stand for the papers that introduced them, Denoising Diffusion Implicit Models and Pseudo Numerical Methods for Diffusion Models on Manifolds.
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AI art is very dystopian.
yes, https://github.com/CompVis/latent-diffusion
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).
What are some alternatives?
disco-diffusion
dalle-flow - 🌊 A Human-in-the-Loop workflow for creating HD images from text
dalle-mini - DALL·E Mini - Generate images from a text prompt
dalle-playground - A playground to generate images from any text prompt using Stable Diffusion (past: using DALL-E Mini)
dalle-2-preview
glide-text2im - GLIDE: a diffusion-based text-conditional image synthesis model
hent-AI - Automation of censor bar detection
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/
stable-diffusion
meadowrun - Meadowrun makes it easy to run your code on the cloud
DALLE2-pytorch - Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
meadowrun-dallemini-demo - A demo of using Meadowrun to run DALL·E Mini, GLID3-XL, and SwinIR in an image generation pipeline