Instructions to use GraydientPlatformAPI/virstal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/virstal 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/virstal", 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:
- 8c5f04a788604612628b75881d0a1a9687426f00120f24c33106b83922f3b7b6
- Size of remote file:
- 246 MB
- SHA256:
- fff6a1c683474c41eaf5472e2ce1ef14970ec93242f41c2f4d05d00465c877f1
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