Instructions to use dannypostma/stockdiffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dannypostma/stockdiffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dannypostma/stockdiffusion", 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:
- 45e5b052b4bb0cd8faf2844475a8bd99e4af944bb65658df08aa1e7cbf0dac7f
- Size of remote file:
- 335 MB
- SHA256:
- f900f593161eeea2458d7fd48bbfe3d79fddd67926c80488b159b5e3c68a0a8f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.