meadowrun-dallemini-demo
A demo of using Meadowrun to run DALL·E Mini, GLID3-XL, and SwinIR in an image generation pipeline (by meadowdata)
latent-diffusion
High-Resolution Image Synthesis with Latent Diffusion Models (by CompVis)
meadowrun-dallemini-demo | latent-diffusion | |
---|---|---|
1 | 70 | |
0 | 10,681 | |
- | 3.3% | |
0.0 | 0.0 | |
over 1 year ago | 3 months ago | |
Python | Jupyter Notebook | |
- | MIT License |
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
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.
latent-diffusion
Posts with mentions or reviews of latent-diffusion.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-21.
-
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.
-
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
-
Anything better than pix2pixHD?
Latent diffusion could work for you: https://github.com/CompVis/latent-diffusion (https://arxiv.org/abs/2112.10752)
-
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
-
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)
-
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.
-
Class Action Lawsuit filed against Stable Diffusion and Midjourney.
Stability is basically https://github.com/CompVis/latent-diffusion + training data.
-
[D] Influential papers round-up 2022. What are your favorites?
Found relevant code at https://github.com/CompVis/latent-diffusion + all code implementations here
-
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.
-
AI art is very dystopian.
yes, https://github.com/CompVis/latent-diffusion
What are some alternatives?
When comparing meadowrun-dallemini-demo and latent-diffusion you can also consider the following projects:
dalle-playground - A playground to generate images from any text prompt using Stable Diffusion (past: using DALL-E Mini)
disco-diffusion
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
hent-AI - Automation of censor bar detection
SwinIR - SwinIR: Image Restoration Using Swin Transformer (official repository)
dalle-2-preview
dalle-flow - 🌊 A Human-in-the-Loop workflow for creating HD images from text
stable-diffusion
DALLE2-pytorch - Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
stable-diffusion - A latent text-to-image diffusion model
meadowrun-dallemini-demo vs dalle-playground
latent-diffusion vs disco-diffusion
meadowrun-dallemini-demo vs glid-3-xl
latent-diffusion vs dalle-mini
meadowrun-dallemini-demo vs meadowrun
latent-diffusion vs hent-AI
meadowrun-dallemini-demo vs SwinIR
latent-diffusion vs dalle-2-preview
meadowrun-dallemini-demo vs dalle-flow
latent-diffusion vs stable-diffusion
latent-diffusion vs DALLE2-pytorch
latent-diffusion vs stable-diffusion