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
- Draw Things
- DiffusionBee

- Xet hash:
- 54e8924b593220ab43e93407156923e14b7cb6961c622c93c1a85c4000f51d64
- Size of remote file:
- 1.31 MB
- SHA256:
- d571fb49db47babeceaf016341c3bc4129dad7909c958f2d6ff6ec6ae20048e1
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