Instructions to use hohs/phd_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hohs/phd_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("hohs/phd_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
- Xet hash:
- 45e75744854bb26e8372221b938e8246b1f9e52d22e0c8da476e2d5fbaf8816c
- Size of remote file:
- 1 kB
- SHA256:
- 7f32e2062343a48c4c313c079291d3389e4162aa8955df706ad8c8684ae87048
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