Instructions to use yuvalkirstain/sd15_dog with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use yuvalkirstain/sd15_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("yuvalkirstain/sd15_dog", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- a3af781727e4df45a40fd9e3add25a6640770b8aebc50c69c0b34749d14c6b31
- Size of remote file:
- 563 Bytes
- SHA256:
- 6146b365ed267bc00102ace5a0c06e96aa25a9ad6e5036f562686a42e5f798f1
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