Instructions to use GraydientPlatformAPI/hveritas2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/hveritas2 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/hveritas2", 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:
- 9966de0c0022db1e2242741dba2234635ecb42bd80e2ba800cf2ffc483ae7d82
- Size of remote file:
- 1.72 GB
- SHA256:
- 54620d2d2d69c1c910877c2d3fdbda19c51797f2a3a66ac38bf18883bc302aa3
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