Instructions to use john123451/sd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use john123451/sd with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("john123451/sd", 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
- Xet hash:
- f7c59bd7166e650a670cca3b3acaeaa9b5c7f6850e184ec87cd45ec4f14ca679
- Size of remote file:
- 246 MB
- SHA256:
- 07a10855533239cd52ca6a29a6e19edb8a31e672dc2b6375ff2db8c95fdf2f2c
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