Instructions to use GraydientPlatformAPI/dreamreal8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/dreamreal8 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/dreamreal8", 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:
- 5f8dc53ce073d98b67e08ec56e74d98653956b0b106322b1560eb654fbb8bef4
- Size of remote file:
- 1.72 GB
- SHA256:
- c520325e0cb4e3652e2153cd2df4ca3572cdb293a1a1bf9934aec8dfa262dbd5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.