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:
- ed7d2c474a4f6b72d477b0f296941f54eb8dab34d8a01778f49fb6178663330c
- Size of remote file:
- 7.86 GB
- SHA256:
- 7ac151612b879371436ed814793b63462617ecb98b24ea5d83e4b673f69f1ffa
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