Instructions to use GraydientPlatformAPI/hoseki with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/hoseki 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/hoseki", 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:
- 2f9aad2d62ddffd4128795cfb3a720412c8a68be26e4db86e95d06b55a711b87
- Size of remote file:
- 5.14 GB
- SHA256:
- 67acba04790d215de701886dd9fb0cebb6b3475a9e7e5e9870cd402140713218
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