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/0005.png from nathanReitinger/FASHION-diffusion: direct link, hf CLI and curl.
- Browser
- Download file 8.12 kB
-
https://huggingface.co/nathanReitinger/FASHION-diffusion/resolve/main/samples/0005.png
- Command line
-
hf download hf://nathanReitinger/FASHION-diffusion/samples/0005.png
-
curl -L -o 0005.png https://huggingface.co/nathanReitinger/FASHION-diffusion/resolve/main/samples/0005.png
8.12 kB

- Xet hash:
- d2f72eaf388f9ab0f783fe3dcc7ce21c400f11aa20af19ea4bf6dcdde1b4de67
- Size of remote file:
- 8.12 kB
- SHA256:
- fdcf6d827fc4322d18b693b12660c887317440f462cf13b1eed0c239b918bcad
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.