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 = "My name is Julien and I like to" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 929c09ff80fec9d2dfdff89b53941addb85cab81576577b6c949fec088fb7dc4
- Size of remote file:
- 5.94 GB
- SHA256:
- f903106d4e25509a5948d10112b52f2008533da76c9f6edc45d58b3023adc00d
ยท
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