Instructions to use Montey/python-edge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Montey/python-edge with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Montey/python-edge", 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
| Metadata-Version: 2.1 | |
| Name: edge-maxxing-4090-newdream | |
| Version: 6 | |
| Summary: An edge-maxxing model submission for the 4090 newdream contest | |
| Requires-Python: <3.11,>=3.10 | |
| Requires-Dist: diffusers==0.28.2 | |
| Requires-Dist: onediff==1.2.0 | |
| Requires-Dist: onediffx==1.2.0 | |
| Requires-Dist: oneflow | |
| Requires-Dist: numpy==1.26.4 | |
| Requires-Dist: xformers==0.0.25.post1 | |
| Requires-Dist: triton==2.2.0 | |
| Requires-Dist: transformers==4.41.2 | |
| Requires-Dist: accelerate==0.31.0 | |
| Requires-Dist: omegaconf==2.3.0 | |
| Requires-Dist: torch==2.2.2 | |
| Requires-Dist: torchvision==0.17.2 | |
| Requires-Dist: huggingface_hub==0.24.7 | |
| Requires-Dist: setuptools==75.2.0 | |
| Requires-Dist: edge-maxxing-pipelines@ git+https://github.com/womboai/edge-maxxing#subdirectory=pipelines | |