Instructions to use GraydientPlatformAPI/dreamcome-xl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/dreamcome-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/dreamcome-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:
- 19aa0b04fb181cdd54cce9f9eb61b81d9decedece3b18f5b66cd1256ad1047d9
- Size of remote file:
- 1.39 GB
- SHA256:
- d7ecb240f3959f09ae723680a0cff2408679195843e384db292e3be8c33cc3eb
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