Instructions to use briannlongzhao/dog_custom_diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use briannlongzhao/dog_custom_diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("briannlongzhao/dog_custom_diffusion", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of <new1>" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- f3fdd777c0a2a79e895c80ac0392a02d13452f062bb0c1f6553d4e214673c3fd
- Size of remote file:
- 102 MB
- SHA256:
- 4a7f96f1c4b8f1f79b589c047298744df39232ec398b93836a205c296d266f8b
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