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
- Xet hash:
- 75315e191d98e14b7d58e172e3c894c76fc8a3084bbf619a1b6552f4d9b99e5d
- Size of remote file:
- 3.44 GB
- SHA256:
- 325846e962fc7bf54e09e9c2b4d66d1f055c230474ac23cd51b719e09605680e
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