Instructions to use BiomedSyn/ours with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BiomedSyn/ours with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("BiomedSyn/ours", 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
| CUDA_VISIBLE_DEVICES=2 python proxy_filter.py \ | |
| --exp_name "det-test-syn-mask-image-filtered" \ | |
| --image_root "/data16T/chestx-ray/xraydiff-dataset/" \ | |
| --test_json_path "/data16T/chestx-ray/xraydiff-dataset/det-test-syn-mask-image/test_prompt_detection.json" | |