Instructions to use Deltoya91/gar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Deltoya91/gar with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Deltoya91/gar", 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:
- 4be7ea4e1ac80582c0d0be16c491d81d8d6f6c0c3f61319990acfea76ac943dd
- Size of remote file:
- 246 MB
- SHA256:
- adc79a422da97dff1d08fe6e7118cf9658042ba9a44bd694cb7aa09268c54114
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