Instructions to use SidXXD/dog_4_initialize_specific-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SidXXD/dog_4_initialize_specific-2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SidXXD/dog_4_initialize_specific-2", dtype=torch.bfloat16, device_map="cuda") prompt = "None" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 891c196e4b4c594649a371621f201f741d628aa319fb2e6846fc90148cfa03cb
- Size of remote file:
- 457 MB
- SHA256:
- 5df248b4401e3ec64c0ad5834aa16c970a25065584b51aa39e400b7a7a2220b6
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