Instructions to use Mahmoud7/HFDiffusionOfficial_output_dir_Exp_unc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Mahmoud7/HFDiffusionOfficial_output_dir_Exp_unc with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Mahmoud7/HFDiffusionOfficial_output_dir_Exp_unc", 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:
- 12e81871c6e9f0ee6e8734eb79ccdfbd7ac7d55c6025e76ada34eb4e8ce3cb9a
- Size of remote file:
- 57.3 MB
- SHA256:
- 81f948a201942ea47b492000cb8b9fd31898062358ac861e224ced8560cb7517
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