Instructions to use arattinger/diffusion.model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use arattinger/diffusion.model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("arattinger/diffusion.model", 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:
- 32a63a88e923496876cc3f8ca77d2bc280769a70132e9da6930d0f2ca0ce21b7
- Size of remote file:
- 3.44 GB
- SHA256:
- 10d1ba9f79eaa9d0a5e83795fdf61d9827d4bc6053faedb7fecc9af7876c4261
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