Instructions to use GraydientPlatformAPI/dicesdream2-xl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/dicesdream2-xl 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/dicesdream2-xl", 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:
- 9daa5a836d91908250ed76a70a6f65f792485f862b00ffa0408625e24c4da052
- Size of remote file:
- 1.39 GB
- SHA256:
- 6eabc5b54536df8b2d5e245fd867c03a1bd7b5f748742dabb372d1fa68588730
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