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:
- 8690dd34c50b65e62c647adcb26fe7ed9e7ef1a4fc80e221c75fc0828e822751
- Size of remote file:
- 2.55 GB
- SHA256:
- 50e33f4077ef2a6bcfd7110c58742b24c5859b7798fb0eedd6d2215e0a8980bc
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