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:
- 4cbd2adaa50479410d84389276600b2ec1d45a44ee83476a4ae0f0d53d1dceb7
- Size of remote file:
- 1.68 MB
- SHA256:
- 59a219badb3a97779ad52cb82489abac4fbd409923d175d905a0d34c3bfcfbb8
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