Instructions to use LibreYOLO/LibrePRXPixel7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LibreYOLO
How to use LibreYOLO/LibrePRXPixel7b with LibreYOLO:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Diffusers
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] - Notebooks
- Google Colab
- Kaggle
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Download README.md from LibreYOLO/LibrePRXPixel7b: direct link, hf CLI and curl.
- Browser
- Download file 1.85 kB
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https://huggingface.co/LibreYOLO/LibrePRXPixel7b/resolve/main/README.md
- Command line
-
hf download hf://LibreYOLO/LibrePRXPixel7b/README.md
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curl -L -o README.md https://huggingface.co/LibreYOLO/LibrePRXPixel7b/resolve/main/README.md
1.85 kB
metadata
license: apache-2.0
library_name: libreyolo
pipeline_tag: text-to-image
base_model: Photoroom/prxpixel-t2i
tags:
- text-to-image
- prx
- photoroom
- diffusers
- libreyolo
LibrePRXPixel7b
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.
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.
- Upstream repository:
Photoroom/prxpixel-t2i - Upstream revision:
bcd5e63f072257a220c5d0ba039c97657398b1c2 - Announcement: We're open-sourcing our text-to-image model and the process behind it
| 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 |
License
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.