Instructions to use sunday96/stepania2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sunday96/stepania2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SG161222/Realistic_Vision_V1.4", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("sunday96/stepania2") prompt = "stepania" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 3fef7339bd3bacd9c959b9543640bfc4e3a8e89bb2eb60f4423cce624e9c20ab
- Size of remote file:
- 4 MB
- SHA256:
- d4a3ef5682d69c69ec6c5a3780b3c87c3423b2c9112fb4fb3ef3dc65cfe87579
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