Instructions to use GraydientPlatformAPI/gurilamash2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/gurilamash2 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/gurilamash2", 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:
- 97c8fa51ffb35561cf6917f198f53656a574bd855f87c7cf746f6c1802ccab85
- Size of remote file:
- 5.14 GB
- SHA256:
- d097e1255ed41e20ceb872028358fb6271b401e05d587950b77a40f3913c7230
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