Instructions to use nathanReitinger/FASHION-diffusion-oneImage with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nathanReitinger/FASHION-diffusion-oneImage with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nathanReitinger/FASHION-diffusion-oneImage", 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:
- 1abf675b8d6610872c3fdd0aecab2755f170209aca0318afac2414ae936bd18f
- Size of remote file:
- 6.86 MB
- SHA256:
- f90e5becadb1d49dc10d71b36d0353aa0f504be17c415213b0f8af08e2f571f1
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