Instructions to use HusseinHE/sjfrdv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use HusseinHE/sjfrdv2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("HusseinHE/sjfrdv2", dtype=torch.bfloat16, device_map="cuda") prompt = "sjfrd" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 95e79d4625c0572c93cfe85f9427f4fab183b905e6b62fc00dfb933dfe191366
- Size of remote file:
- 1.36 GB
- SHA256:
- d55bb0f23639a88ff121d6bec8a240758b52ba42069bea0b4f2d8dba3bb677b1
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