Instructions to use GraydientPlatformAPI/reals2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/reals2 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/reals2", 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:
- 60c6582afd48d315da8ef01272b9d55cdd13da53256f7b001eb45fcc4625d76a
- Size of remote file:
- 1.72 GB
- SHA256:
- a0a463506a6c6ac6f67779410fbf0d3df074ce704b3b243632aceca471fffe24
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