Instructions to use GraydientPlatformAPI/endlessreality7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/endlessreality7 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/endlessreality7", 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
- Draw Things
- DiffusionBee
- Xet hash:
- 4f1cb7b6adf621e7f319ba6b51021178a5bdbc1f714c8d1ddd5ece11cca2b2bc
- Size of remote file:
- 246 MB
- SHA256:
- 6682a6752cc3f66d1681e4aa8ac282aa60eda546ca2bbe6cb18502f1d4b2a602
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.