Instructions to use GraydientPlatformAPI/dreamhyperdice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/dreamhyperdice with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GraydientPlatformAPI/dreamhyperdice", 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:
- 2a823f1f6869dc9f9412fa631cd0d69938e6d749c41804157ff02fa2e3c5f37e
- Size of remote file:
- 5.14 GB
- SHA256:
- e91ed4f4eebbb75b43d8de554928279f743995860f1be323daf53405c551e811
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