Instructions to use GraydientPlatformAPI/osobureashi7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/osobureashi7 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/osobureashi7", 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:
- 3dc93c7d436c555a2f4cd71cfcd0b63e4f8af9506876c288a5e7cc4c4958f7f6
- Size of remote file:
- 246 MB
- SHA256:
- 573ab9aca05c5ab9201a0b9acd905784879e830290e0db362c151fecd4d4768b
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