Instructions to use AppInApp/e9d98cfd-ad84-4a2c-b36b-0a35a9200a7e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AppInApp/e9d98cfd-ad84-4a2c-b36b-0a35a9200a7e with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AppInApp/e9d98cfd-ad84-4a2c-b36b-0a35a9200a7e", dtype=torch.bfloat16, device_map="cuda") prompt = "sdcid" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee



