Instructions to use GraydientPlatformAPI/model_151d5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/model_151d5 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_151d5", 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
- Xet hash:
- 9ac639d4c563951cfcce2c0cea90635bc61fbe8a73fe384ca9f830e707fe5bc2
- Size of remote file:
- 492 MB
- SHA256:
- 8fae6c3b84f4d7b76a8364a49895a919d2f43f20e4286b96406b80f3b4fd3fa2
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