LibrePRX1024-beta

PRX, Photoroom's 1.3B text-to-image transformer trained from scratch, with a T5Gemma 2B text encoder and the FLUX.1 VAE. Native resolution 1024; Photoroom's 1024 preview checkpoint. Mirrored for LibreYOLO.

from libreyolo import LibreGen

model = LibreGen("prx-1024-beta")      # downloads this repo
model("a red fox sleeping in fresh snow").save("fox.png")
libreyolo generate prompt="a red fox" model=prx-1024-beta

Install libreyolo[gen].

This is a mirror, not a new model

The weights are Photoroom's. Nothing was retrained, converted or re-encoded; every file is byte-identical to upstream and keeps upstream's diffusers pipeline layout, so diffusers loads this folder as it is.

File SHA-256
text_encoder/model-00001-of-00003.safetensors e7a37fef2b11c87a9a2a43c26fcd7199c1d1b203ef11e10863a56611c8fdb57f
text_encoder/model-00002-of-00003.safetensors 49da6c85ed4ff10f7f1afaa5a37a0b292fdb58aa855916ef584d697155a9bf58
text_encoder/model-00003-of-00003.safetensors 1a6361ba65805092625aa4e2b3b8d42b810ab836682ddc8277088c9a251b4084
text_encoder/model.safetensors 75bed3ac53b4fcde6b72d976809d4046a97cebcd414801fb81a16cbcf5c70654
transformer/diffusion_pytorch_model.safetensors 35f8987e3120ecf2ddaaab9547900f41f4c32788e49fb59287ea7cd7d13933b1
vae/diffusion_pytorch_model.safetensors 8c717328c8ad41faab2ccfd52ae17332505c6833cf176aad56e7b58f2c4d4c94

License

The PRX weights are Apache-2.0, as published by Photoroom. The bundled T5Gemma 2B text encoder is provided under and subject to the Gemma Terms of Use, and you may not use it for the restricted uses in the Gemma Prohibited Use Policy. The FLUX.1 [schnell] VAE is Apache-2.0. See LICENSE and NOTICE.

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