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:
- 61b99c7f706ef0fb49e76335af4affa73bd24aca7e6c09830f5cf9c9947010b2
- Size of remote file:
- 76.7 MB
- SHA256:
- 74d18d39d03402710b4e11ebdf8f11211cd510ed21bc9ff73aac9510a0fe400e
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