Text-to-Image
Diffusers
English
StableDiffusionPipeline
Grapefruit
stable diffusion
stable diffusion diffusers
Instructions to use iZELX1/Grapefruit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use iZELX1/Grapefruit with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("iZELX1/Grapefruit", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
Download SampleImage1.png from iZELX1/Grapefruit: direct link, hf CLI and curl.
- Browser
- Download file 1.51 MB
-
https://huggingface.co/iZELX1/Grapefruit/resolve/main/SampleImage1.png
- Command line
-
hf download hf://iZELX1/Grapefruit/SampleImage1.png
-
curl -L -o SampleImage1.png https://huggingface.co/iZELX1/Grapefruit/resolve/main/SampleImage1.png
1.51 MB

- Xet hash:
- 4a07dcda4619cbf1cb8e53a57597cc9c2d02abf50625baf10ceed38a0158fd45
- Size of remote file:
- 1.51 MB
- SHA256:
- ab63954d7b33eeccaf8c3b2a5665ee71503b4574d88553e9279d3bef012cb491
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