Instructions to use Nihirc/Prompt2MedImage with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Nihirc/Prompt2MedImage with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Nihirc/Prompt2MedImage", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit History
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Adding `safetensors` variant of this model (#1)
Verified signature- Adding `safetensors` variant of this model (f70fda0019ab5cfe4586f8f4fd34c6365b93ba51) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>84d734c
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Merge branch 'main' of https://huggingface.co/Nihirc/Prompt2MedImage into main
Nihir Chadderwala36efa3a -
Added examples
Nihir Chadderwala51a8991 -
Updated README.md
Updated README.mdd284a02 -
Update README.md
Updated README.md filefce97a7 -
Updated README file
Nihir Chadderwala998c24e -
Updated README file
Nihir Chadderwalaf8972c5 -
Submit model weights to HF
Nihir Chadderwala6b672af -
Submit model weights to HF
Ubuntudcaaff0 -
initial commit
f6fc41b