Instructions to use stablediffusionapi/md40 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/md40 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/md40", 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:
- cdde00ec8e16950fb778e3d96328ff41904fac15479d3017e1aca2b528d53988
- Size of remote file:
- 246 MB
- SHA256:
- a74588dd82cd7852799ecc2587ca06d97e40bdc62cc1cd17d3a4383bb439d04c
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