Instructions to use Wannabeasmartguy/test2train_amine_face with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Wannabeasmartguy/test2train_amine_face with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Wannabeasmartguy/test2train_amine_face", 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
- Xet hash:
- 9a69b3a7ddff20001fe38ed45aae9d72e9cf62f4b47229d4d1a65d7c92cf898a
- Size of remote file:
- 291 MB
- SHA256:
- ca20a00413a09af5a52eecf943d2064838b8761e1b7ae3b195e26bf0e62e31fc
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