Instructions to use gapi-ai/output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use gapi-ai/output with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("gapi-ai/output", dtype=torch.bfloat16, device_map="cuda") prompt = "A photo of alex ukj" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- f26aa8e8a7f666a8c17ad9ea4c70b5420a904a68941668f5a7f2d7126df21776
- Size of remote file:
- 9.6 MB
- SHA256:
- 98e9f3a89bdb5b8b1b3aca412a65a6f14fcf3fd5168ac748a613c61cbe831b2d
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