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:
- d85029a2034edb88ae6635128023d469af2307aed2d733c8ba9626f22a36d97d
- Size of remote file:
- 57.3 MB
- SHA256:
- b6dbdf447775c13ad42b9c26f5fc21850e278f3f1627d106ea385e4e6f564737
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