stable_diffusion.openvinodata
By bes-dev
stable-diffusionassets
By CompVis
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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.
stable_diffusion.openvinodata
Posts with mentions or reviews of stable_diffusion.openvinodata.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-09-01.
stable-diffusionassets
Posts with mentions or reviews of stable-diffusionassets.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-09-01.
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Use Stable Diffusion openvino with poetry
Stable Diffusion is a latent text-to-image diffusion model. Thanks to a generous compute donation from Stability AI and support from LAION, we were able to train a Latent Diffusion Model on 512x512 images from a subset of the LAION-5B database. Similar to Google's Imagen, this model uses a frozen CLIP ViT-L/14 text encoder to condition the model on text prompts. With its 860M UNet and 123M text encoder, the model is relatively lightweight and runs on a GPU with at least 10GB VRAM. See this section below and the model card.
What are some alternatives?
When comparing stable_diffusion.openvinodata and stable-diffusionassets you can also consider the following projects:
latent-diffusion - High-Resolution Image Synthesis with Latent Diffusion Models
pyenv - Simple Python version management
stable_diffusion.openvino