Instructions to use ROCKYSM/my-pet-dog with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ROCKYSM/my-pet-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("ROCKYSM/my-pet-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:
- 2f9c639066c8f49aadbdc1662aab80291ddd52a95bc4142f7661e2eb55f5ae96
- Size of remote file:
- 246 MB
- SHA256:
- 7748d34c6a8eb9f4a438be217a3c589ccb347fc6df03dcd118464b13ea78e9c9
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