Instructions to use GraydientPlatformAPI/pima9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/pima9 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/pima9", 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:
- 2fe72b44f8db98389cc4545b7373ebc79050d6ba75f1270fdaa1c0dba6614457
- Size of remote file:
- 1.72 GB
- SHA256:
- f7a4a9532fedce5680d8013ca7c1babf00223b64edf111015ee462f2cf4c5858
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