Instructions to use hhf1/custom_dog_cat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hhf1/custom_dog_cat with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hhf1/custom_dog_cat", dtype=torch.bfloat16, device_map="cuda") prompt = "photo of a <new1> cat" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 9a3238a4ee7a4a70db9efc02756021f63aed92abd17eca85fe426a70a93e7f47
- Size of remote file:
- 76.7 MB
- SHA256:
- 3cba57308df8bfca12ef36d481bb47e62ac578bfb964dc22ea30fdd6c6edbb64
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