Instructions to use haoningwu/MRGen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use haoningwu/MRGen with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("haoningwu/MRGen", 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
Ctrl+K
- controlnet_CHAOS-MRI_T1_to_CHAOS-MRI_T2
- controlnet_CHAOS-MRI_T2_to_CHAOS-MRI_T1
- controlnet_CHAOS-MRI_T2_to_LiQA_T1
- controlnet_LiQA_T1_to_CHAOS-MRI_T2
- controlnet_MSDProstate_ADC_to_MSDProstate_T2
- controlnet_MSDProstate_ADC_to_PROMISE12_T2
- controlnet_MSDProstate_T2_to_MSDProstate_ADC
- controlnet_PROMISE12_T2_to_MSDProstate_ADC
- controlnet_PanSeg_T1_to_PanSeg_T2
- controlnet_PanSeg_T2_to_PanSeg_T1