LibrePRX Text-to-Image
Collection
Photoroom's PRX (nine 1.3B checkpoints) and PRXPixel 7B, mirrored for LibreGen. Apache-2.0; PRX's T5Gemma encoder under the Gemma Terms of Use. โข 10 items โข Updated
How to use LibreYOLO/LibrePRXPixel7b with Diffusers:
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("LibreYOLO/LibrePRXPixel7b", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]PRXPixel, Photoroom's 7B pixel-space text-to-image model. It denoises RGB directly, with no autoencoder, and is conditioned on a Qwen3-VL text encoder. Native resolution 1024. Mirrored for LibreYOLO.
from libreyolo import LibreGen
model = LibreGen("prxpixel-7b") # downloads this repo
model("a red fox sleeping in fresh snow").save("fox.png")
libreyolo generate prompt="a red fox" model=prxpixel-7b
Install libreyolo[gen]. Needs diffusers>=0.39.
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.
Photoroom/prxpixel-t2ibcd5e63f072257a220c5d0ba039c97657398b1c2| File | SHA-256 |
|---|---|
text_encoder/model.safetensors |
4d212f35fd3ef50b5c03d3603153ee782df085c8e7286e09fe06d655bd0d2bf3 |
transformer/diffusion_pytorch_model-00001-of-00002.safetensors |
856f4e24d89a7de09a00b8d3e1871406b8f5af7b86b308dc4b7e4e1c418d9a21 |
transformer/diffusion_pytorch_model-00002-of-00002.safetensors |
d05f4a9d276a564bf1c5fc9450352b66179bb5563dcfa71dfc77db67cb4ebcd7 |
Apache-2.0, as published by Photoroom. The bundled text encoder is Alibaba's Qwen3-VL-Embedding-2B (Apache-2.0). See LICENSE and NOTICE.
Base model
Photoroom/prxpixel-t2i