Instructions to use xFutureTechx/Osea-Identity2023 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use xFutureTechx/Osea-Identity2023 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("xFutureTechx/Osea-Identity2023", dtype=torch.bfloat16, device_map="cuda") prompt = "Hi, what can you help me with?" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6557b835866659441b6fd91bf7d2ee321d0f631174d5afafbf2b88ab7ddd03a7
- Size of remote file:
- 4.51 GB
- SHA256:
- da439544948f0382bda68a45764d5e5752e6e519743109287730a8ebe351ee5f
ยท
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