Instructions to use stablediffusionapi/modelsplicing62421 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/modelsplicing62421 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/modelsplicing62421", dtype=torch.bfloat16, device_map="cuda") prompt = "a girl wandering through the forest" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 2b0edd90cf1ec9bf2d53eda252732295b7675e8e7efde79337f4ce2a54451a22
- Size of remote file:
- 1.72 GB
- SHA256:
- 7a85d17085ca1f01d19e6b621a7b4e04a69f85c37419b43786d5a8150bf8ed90
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.