Instructions to use Strangematter/haydenp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Strangematter/haydenp with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Strangematter/haydenp", 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:
- 48af50fa76db06328afcc6bfcd3405c359583dfcc63a0f3cb5180843f6a04475
- Size of remote file:
- 246 MB
- SHA256:
- 1ad1a4c7c2c5ce52392f523f725d6eccb318ae5f1ac0dece271aa411a7374c55
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