Instructions to use GraydientPlatformAPI/sdvn8-art with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/sdvn8-art 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/sdvn8-art", 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:
- ae1b435874685c306e2d4455d450d38d63b7ee9e47eb67e44b19462747819916
- Size of remote file:
- 246 MB
- SHA256:
- d95499f33c348de619ed92dcdc15cd27ab70a562ba6d894d637e3d2fb5a3ef73
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