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
- Draw Things
- DiffusionBee
- Xet hash:
- 201b3eceda3532ee30951e7ce6c5f461b3904c7b943998941b2f9dff6124b47e
- Size of remote file:
- 167 MB
- SHA256:
- e26cc08b22706b424d8400f203befe9761065bc932a699e254c2bcd9fc5d1885
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