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:
- f102ca5085d0e13904e132aa2e74fff94dc13cbb1f0e71e4aa36acd71e22685e
- Size of remote file:
- 246 MB
- SHA256:
- 2eb22a34fa0f975546d29b6dee8c11b158f0b584fdf820b7914669b6771ce2c8
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