Instructions to use SidXXD/dog_4_initialize_specific with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SidXXD/dog_4_initialize_specific 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", dtype=torch.bfloat16, device_map="cuda") prompt = "None" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- a7313da43180b1dc4596bd26929c54d6368b1e7dfc5f26bcb8c46a7c7c1506da
- Size of remote file:
- 76.7 MB
- SHA256:
- 29d0223ffdb6363cc65b8d20c0a0ecbd1a24bc1a4e04eb0cdec44db93978cc31
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