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:
- 9b9fbb9806f00ad50d9f60e41a8ad49b85ccc2ab18e73c77ac234d75b671a621
- Size of remote file:
- 609 MB
- SHA256:
- 545770d7cccaf63b733a94e144b1639ac07831992f4aa3f25c89a7de308e26a4
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