Instructions to use hongrui/mammogram_v_2_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hongrui/mammogram_v_2_2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("hongrui/mammogram_v_2_2") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- b98770a3a723d77e0cb757ddbc308301efc0988f1270ae6f4578bbd680fa93d9
- Size of remote file:
- 3.29 MB
- SHA256:
- eeee9c6a7e86c204938b8d23b90e91cc1dc11d48659af6c8c783d8f5e2045862
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.