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:
- 4ee1dc48f869f651ca560c7aaf1898de6eb679803d64f818072921553e456aa3
- Size of remote file:
- 2.13 GB
- SHA256:
- b1229641b7678e76c39f0aea3f15feb145a13401e2d2a9cc209cc0acdbffc7c3
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