Instructions to use hulefei/test-dog with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hulefei/test-dog with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hulefei/test-dog", 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:
- c7c0c031100f67c6f699cbfa42c5d25bbba65ab7f94afa2b1bed69f96a22d4f9
- Size of remote file:
- 3.44 GB
- SHA256:
- 51160dbcbfae98304af2d4a4fe3e85399df7e0f978775626eaeb993fb1d8b686
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