Instructions to use GraydientPlatformAPI/model_136ma with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/model_136ma 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_136ma", 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:
- 2156280253a9fd7ea03c9ac1392b60d648c67ebddbeafd36648d39a38b33bb89
- Size of remote file:
- 1.22 GB
- SHA256:
- 193490b58ef62739077262e833bf091c66c29488058681ac25cf7df3d8190974
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