Instructions to use callgg/solidity-decoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use callgg/solidity-decoder with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("callgg/solidity-decoder", 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
- Xet hash:
- 43222e7bbd8191ff900525bdd456e65522551df6277a6236f01cc02d4348fb5f
- Size of remote file:
- 5.56 GB
- SHA256:
- 12ab78433490b0e76a46c5d31e493ffc97f02b95a7013ad69c94338d8b70348e
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