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
Download model_index.json from LibreYOLO/LibrePRXPixel7b: direct link, hf CLI and curl.
- Browser
- Download file 433 Bytes
-
https://huggingface.co/LibreYOLO/LibrePRXPixel7b/resolve/main/model_index.json
- Command line
-
hf download hf://LibreYOLO/LibrePRXPixel7b/model_index.json
-
curl -L -o model_index.json https://huggingface.co/LibreYOLO/LibrePRXPixel7b/resolve/main/model_index.json
433 Bytes
| { | |
| "_class_name": "PRXPixelPipeline", | |
| "_diffusers_version": "0.37.0.dev0", | |
| "_name_or_path": "best-model-diffusers", | |
| "default_sample_size": 1024, | |
| "scheduler": [ | |
| "diffusers", | |
| "FlowMatchEulerDiscreteScheduler" | |
| ], | |
| "text_encoder": [ | |
| "transformers", | |
| "Qwen3VLTextModel" | |
| ], | |
| "tokenizer": [ | |
| "transformers", | |
| "Qwen2TokenizerFast" | |
| ], | |
| "transformer": [ | |
| "diffusers", | |
| "PRXTransformer2DModel" | |
| ] | |
| } |