Instructions to use GraydientPlatformAPI/meichidark45 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/meichidark45 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/meichidark45", 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:
- 26b9132f5c3df60432760b8ea7c28c5637ad3ff9b6f9f7bc803c83dbaed5dd29
- Size of remote file:
- 246 MB
- SHA256:
- 31418025366e5bbf230726e4c56361df5629045c0cba5802c3bc0410f2bf4348
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