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:
- 3585759fc59f0daf3be192b3510e0eda81f5371f28ea20ce7790933eceecc68d
- Size of remote file:
- 246 MB
- SHA256:
- 589f44f14568a996d52f65b092b4f6831f4f837bd0d9b8f440ff8a50c34d4e0d
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