Instructions to use sarthak22/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sarthak22/model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sarthak22/model", 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:
- 5196904e72a82aa9dce4f4d273fa802a4ff9b216811369b487c119a87f1d9123
- Size of remote file:
- 2.13 GB
- SHA256:
- 1bc8cf9db8f2d7d9c2f4c90a519fccc230ff5d6fa9767fe12b6ec89da9098617
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