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", torch_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:
- ad85ed9cd0a7167a72d368d14a86fe9e93c31252070e4b82a10310aa6db062fc
- Size of remote file:
- 2.58 GB
- SHA256:
- 86b9aa46466f156b1d7f7742256d6b5e70069c3f96ef4bfff9a0adb968c1d1e1
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