Instructions to use GraydientPlatformAPI/134 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/134 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/134", 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:
- e2eba1f82bb179d6fdaf29c72699450533fd55859eda0e17ac17ed46da7fc6e9
- Size of remote file:
- 492 MB
- SHA256:
- 679e202be6332d4a7c1838ba7acdb61d9dcb1135682287003c3728930c9850a6
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