Instructions to use GraydientPlatformAPI/mtoona with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/mtoona 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/mtoona", 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:
- eb7f973cf572157a9c9640859363bfe3c6a2a1826388e796356e8e4fe254739a
- Size of remote file:
- 3.44 GB
- SHA256:
- 9b22cf89e4ee5d98383fedc85c6c3d08780a31450ae6e967fd378397ceb88661
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