Instructions to use GraydientPlatformAPI/hardcos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/hardcos 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/hardcos", 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:
- 64ccf7251417815bb3cf5fb95d490616dd1fba348ea4c2db42b344c0c992b954
- Size of remote file:
- 167 MB
- SHA256:
- 5d511e88b2bbe16e530ff9c0a1830dbefb43b3bf2c82d878e361835c8c433879
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