Instructions to use GraydientPlatformAPI/ridemyfinal2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/ridemyfinal2 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/ridemyfinal2", 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:
- 813a10661e266c3c2fdbde2ad87d56263880562a34f0ea117a563f9134e6adb1
- Size of remote file:
- 246 MB
- SHA256:
- a694b08565cd2c12f05d3db1ea2735a155998fbc9328800798f25fe0b5836021
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