Instructions to use nathanReitinger/FASHION-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nathanReitinger/FASHION-diffusion 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", 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
Download samples/0000.png from nathanReitinger/FASHION-diffusion: direct link, hf CLI and curl.
- Browser
- Download file 8.87 kB
-
https://huggingface.co/nathanReitinger/FASHION-diffusion/resolve/main/samples/0000.png
- Command line
-
hf download hf://nathanReitinger/FASHION-diffusion/samples/0000.png
-
curl -L -o 0000.png https://huggingface.co/nathanReitinger/FASHION-diffusion/resolve/main/samples/0000.png
8.87 kB

- Xet hash:
- ac34a625552ddd2e020da9bfeb4741de3086421290dbfeab212454d1e0154ecd
- Size of remote file:
- 8.87 kB
- SHA256:
- dfccdac6d73c1a93bae272293b314945441aee06d6defa3bf066ffcfb63e5265
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