| Name : python310-stable-diffusion
| |
| Version : 0.0.1+git.20221116
| Vendor : obs://build_opensuse_org/science
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| Release : 1.20
| Date : 2023-05-12 15:02:37
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| Group : Unspecified
| Source RPM : python-stable-diffusion-0.0.1+git.20221116-1.20.src.rpm
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| Size : 0.03 MB
| |
| Packager : (none)
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| Summary : Latent text-to-image diffusion model
|
Description :
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.
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RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/science:/machinelearning/openSUSE_Tumbleweed/i586 |
