Instructions to use GraydientPlatformAPI/model_128 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/model_128 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/model_128", 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:
- 8872f4e5d00bfa6faca7ce7e3fb820658370019f2e4ea82ad4c6ffd1a2b5ba61
- Size of remote file:
- 492 MB
- SHA256:
- 6413f98db0ac60ace4bbbd5188c31fa0db432c53e41ee31f81c006bec8f04e29
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