Instructions to use Dipra/doremon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Dipra/doremon with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Dipra/doremon", 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:
- ee541acab23cecdc510227277e9b1cd64aa8cde372322ced3b089da960e6c067
- Size of remote file:
- 246 MB
- SHA256:
- 83f838a3e5b3fd8b4f35dbd6de6b50197cca620e73d2abdaaffa4de956629785
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