Instructions to use vvtq/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use vvtq/test with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("vvtq/test", torch_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:
- 81768d9c314f5e3d23d7dcd29a433de485120fabed60245e482b442f2d699dfb
- Size of remote file:
- 492 MB
- SHA256:
- 12d4e5efa56922be2d4a6a82d005301e6c3501d72395955a907f7afc0f3fc1bd
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