Instructions to use GraydientPlatformAPI/awportrait13 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/awportrait13 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GraydientPlatformAPI/awportrait13", torch_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
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 249fc7a5649d37c312c8548587eb36f6431581f13a97ff5b49c6c7fdcf0c0939
- Size of remote file:
- 1.72 GB
- SHA256:
- bd19e969fc5ce673fbe5899b83df6a24545500864842fb889001f9567095f03b
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