Instructions to use madebyollin/stage-a-ft-hq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use madebyollin/stage-a-ft-hq with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("madebyollin/stage-a-ft-hq", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6a2c948f0a017db20a0696c8d0fc27f4669c1d07000fd9f3abd64b0119f310ed
- Size of remote file:
- 36.9 MB
- SHA256:
- 87e3b5ce501828050c3bc1502fe2edc06a269d47739d14d6ee50c04cae6e5fdd
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