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:
- 913e3f2c2ddd7f6bd4b8826981b6447f72e67805eaa7405f46ea412806bbfcbb
- Size of remote file:
- 76.7 MB
- SHA256:
- f8cf5a699d05aa823f9c8fd1361003b9f414e76eed00949f4906ab816cd516d1
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