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:
- eee3d4f2dae3a2163cdd59472b1aaa5905e723851b01120967af78a92ddf78ba
- Size of remote file:
- 1.39 GB
- SHA256:
- 122ba190f71f746330fe9b388d7971332165fb8aed528624bcfb4066834b789f
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