Instructions to use GraydientPlatformAPI/meinsteil4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/meinsteil4 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/meinsteil4", torch_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:
- af1ce616f72d81a15cebf68fef88ae3d5eed208cb8c49e6726ac0dabb778afd1
- Size of remote file:
- 5.14 GB
- SHA256:
- 8c59a38fe622f9530e58b81b432d4839127e5d67dc7a7d44eb6f79b65d9ec466
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